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abortExperiment() - Method in class weka.experiment.RemoteExperiment
Set the abort flag
AbstractAssociator - Class in weka.associations
Abstract scheme for learning associations.
AbstractAssociator() - Constructor for class weka.associations.AbstractAssociator
 
AbstractClassifier - Class in weka.classifiers
Abstract classifier.
AbstractClassifier() - Constructor for class weka.classifiers.AbstractClassifier
 
AbstractClusterer - Class in weka.clusterers
Abstract clusterer.
AbstractClusterer() - Constructor for class weka.clusterers.AbstractClusterer
 
AbstractCommand - Class in weka.gui.simplecli
Ancestor for command.
AbstractCommand() - Constructor for class weka.gui.simplecli.AbstractCommand
 
AbstractDataSink - Class in weka.gui.beans
Abstract class for objects that store instances to some destination.
AbstractDataSink() - Constructor for class weka.gui.beans.AbstractDataSink
 
AbstractDataSinkBeanInfo - Class in weka.gui.beans
Bean info class for the AbstractDataSink
AbstractDataSinkBeanInfo() - Constructor for class weka.gui.beans.AbstractDataSinkBeanInfo
 
AbstractDataSource - Class in weka.gui.beans
Abstract class for objects that can provide instances from some source
AbstractDataSource() - Constructor for class weka.gui.beans.AbstractDataSource
Creates a new AbstractDataSource instance.
AbstractDataSourceBeanInfo - Class in weka.gui.beans
Bean info class for AbstractDataSource.
AbstractDataSourceBeanInfo() - Constructor for class weka.gui.beans.AbstractDataSourceBeanInfo
 
AbstractDensityBasedClusterer - Class in weka.clusterers
Abstract clustering model that produces (for each test instance) an estimate of the membership in each cluster (ie.
AbstractDensityBasedClusterer() - Constructor for class weka.clusterers.AbstractDensityBasedClusterer
 
AbstractEvaluationMetric - Class in weka.classifiers.evaluation
Abstract base class for pluggable classification/regression evaluation metrics.
AbstractEvaluationMetric() - Constructor for class weka.classifiers.evaluation.AbstractEvaluationMetric
 
AbstractEvaluationMetric.UnknownStatisticException - Exception in weka.classifiers.evaluation
Exception for subclasses to throw if asked for a statistic that is not part of their implementation
AbstractEvaluator - Class in weka.gui.beans
Abstract class for objects that can provide some kind of evaluation for classifier, clusterers etc.
AbstractEvaluator() - Constructor for class weka.gui.beans.AbstractEvaluator
Constructor
AbstractFileBasedStopwords - Class in weka.core.stopwords
Ancestor for file-based stopword schemes.
AbstractFileBasedStopwords() - Constructor for class weka.core.stopwords.AbstractFileBasedStopwords
 
AbstractFileLoader - Class in weka.core.converters
Abstract superclass for all file loaders.
AbstractFileLoader() - Constructor for class weka.core.converters.AbstractFileLoader
 
AbstractFileSaver - Class in weka.core.converters
Abstract class for Savers that save to a file Valid options are: -i input arff file
The input filw in arff format.
AbstractFileSaver() - Constructor for class weka.core.converters.AbstractFileSaver
 
AbstractGraphicalCommand - Class in weka.gui.knowledgeflow
Base class for a graphical command
AbstractGraphicalCommand() - Constructor for class weka.gui.knowledgeflow.AbstractGraphicalCommand
 
AbstractGUIApplication - Class in weka.gui
Base class for GUI applications in Weka
AbstractGUIApplication() - Constructor for class weka.gui.AbstractGUIApplication
Default constructor
AbstractGUIApplication(boolean, String[], String[]) - Constructor for class weka.gui.AbstractGUIApplication
Constructor
AbstractGUIApplication(boolean, String...) - Constructor for class weka.gui.AbstractGUIApplication
Constructor
AbstractInstance - Class in weka.core
Abstract class providing common functionality for the original instance implementations.
AbstractInstance() - Constructor for class weka.core.AbstractInstance
 
AbstractLoader - Class in weka.core.converters
Abstract class gives default implementation of setSource methods.
AbstractLoader() - Constructor for class weka.core.converters.AbstractLoader
 
AbstractOffscreenChartRenderer - Class in weka.gui.beans
Abstract base class for offscreen chart renderers.
AbstractOffscreenChartRenderer() - Constructor for class weka.gui.beans.AbstractOffscreenChartRenderer
 
AbstractOutput - Class in weka.classifiers.evaluation.output.prediction
A superclass for outputting the classifications of a classifier.
AbstractOutput() - Constructor for class weka.classifiers.evaluation.output.prediction.AbstractOutput
Initializes the output class.
AbstractPerspective - Class in weka.gui
Base classes for GUI perspectives to extend.
AbstractPerspective() - Constructor for class weka.gui.AbstractPerspective
Constructor
AbstractPerspective(String, String) - Constructor for class weka.gui.AbstractPerspective
Constructor
AbstractPlotInstances - Class in weka.gui.explorer
Abstract superclass for generating plottable instances.
AbstractPlotInstances() - Constructor for class weka.gui.explorer.AbstractPlotInstances
Initializes the container.
AbstractPMMLProducerHelper - Class in weka.classifiers.pmml.producer
Abstract base class for PMMLProducer helper classes to extend.
AbstractPMMLProducerHelper() - Constructor for class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
 
AbstractSaver - Class in weka.core.converters
Abstract class for Saver
AbstractSaver() - Constructor for class weka.core.converters.AbstractSaver
 
AbstractSetupPanel - Class in weka.gui.experiment
Ancestor for setup panels for experiments.
AbstractSetupPanel() - Constructor for class weka.gui.experiment.AbstractSetupPanel
 
AbstractStopwords - Class in weka.core.stopwords
Ancestor for stopwords classes.
AbstractStopwords() - Constructor for class weka.core.stopwords.AbstractStopwords
 
AbstractTestSetProducer - Class in weka.gui.beans
Abstract class for TestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.
AbstractTestSetProducer() - Constructor for class weka.gui.beans.AbstractTestSetProducer
Creates a new AbstractTestSetProducer instance.
AbstractTestSetProducerBeanInfo - Class in weka.gui.beans
BeanInfo class for AbstractTestSetProducer
AbstractTestSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTestSetProducerBeanInfo
 
AbstractTimeSeries - Class in weka.filters.unsupervised.attribute
An abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance with attribute attribute values of some previous (or future) instance.
AbstractTimeSeries() - Constructor for class weka.filters.unsupervised.attribute.AbstractTimeSeries
 
AbstractTrainAndTestSetProducer - Class in weka.gui.beans
Abstract base class for TrainAndTestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.
AbstractTrainAndTestSetProducer() - Constructor for class weka.gui.beans.AbstractTrainAndTestSetProducer
Creates a new AbstractTrainAndTestSetProducer instance.
AbstractTrainAndTestSetProducerBeanInfo - Class in weka.gui.beans
Bean info class for AbstractTrainAndTestSetProducers
AbstractTrainAndTestSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo
 
AbstractTrainingSetProducer - Class in weka.gui.beans
Abstract class for TrainingSetProducers that contains default implementations of add/remove listener methods and default visual representation
AbstractTrainingSetProducer() - Constructor for class weka.gui.beans.AbstractTrainingSetProducer
Creates a new AbstractTrainingSetProducer instance.
AbstractTrainingSetProducerBeanInfo - Class in weka.gui.beans
BeanInfo class for AbstractTrainingSetProducer
AbstractTrainingSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTrainingSetProducerBeanInfo
 
accept(File) - Method in class weka.core.ClassCache.ClassFileFilter
Checks whether the file is a class.
accept(File) - Method in class weka.core.ClassCache.DirectoryFilter
Checks whether the file is a directory.
accept(File) - Method in class weka.gui.ExtensionFileFilter
Returns true if the supplied file should be accepted (i.e.: if it has the required extension or is a directory).
accept(File, String) - Method in class weka.gui.ExtensionFileFilter
Returns true if the file in the given directory with the given name should be accepted.
ACCEPT - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
States that the user has accepted the tree.
acceptAssociationRules(BatchAssociationRulesEvent) - Method in interface weka.gui.beans.BatchAssociationRulesListener
Accept a BatchAssociationRulesEvent
acceptClassifier(BatchClassifierEvent) - Method in interface weka.gui.beans.BatchClassifierListener
Accept a BatchClassifierEvent
acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Accept a classifier to be evaluated.
acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Accepts and processes a classifier encapsulated in an incremental classifier event
acceptClassifier(IncrementalClassifierEvent) - Method in interface weka.gui.beans.IncrementalClassifierListener
Accept the event
acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.PredictionAppender
Accept and process an incremental classifier event
acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.PredictionAppender
Accept and process a batch classifier event
acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.SerializedModelSaver
Accept and save an incrementally trained classifier.
acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.SerializedModelSaver
Accept and save a batch trained classifier.
acceptClusterer(BatchClustererEvent) - Method in interface weka.gui.beans.BatchClustererListener
Accept a BatchClustererEvent
acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Accept a clusterer to be evaluated
acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.PredictionAppender
Accept and process a batch clusterer event
acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.SerializedModelSaver
Accept and save a batch trained clusterer.
acceptConfiguration(ConfigurationEvent) - Method in interface weka.gui.beans.ConfigurationListener
Implementers do not have to do anything in this method (see the above documentation).
acceptDataPoint(ChartEvent) - Method in interface weka.gui.beans.ChartListener
 
acceptDataPoint(ChartEvent) - Method in class weka.gui.beans.StripChart
Accept a data point (encapsulated in a chart event) to plot
acceptDataPoint(double[]) - Method in class weka.gui.beans.StripChart
Accept a data point to plot
acceptDataPoint(double[]) - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
Accept and process a data point
acceptDataPoint(double[]) - Method in interface weka.knowledgeflow.steps.StripChart.PlotNotificationListener
 
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.AbstractDataSink
Accept a data set
acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.AbstractDataSink
Accept a threshold data set
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Subclass must implement
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Appender
Accept and process a data set event
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Associator
 
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.ClassAssigner
 
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.ClassValuePicker
 
acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.CostBenefitAnalysis
Accept a threshold data event and set up the visualization.
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
Accept a data set
acceptDataSet(DataSetEvent) - Method in interface weka.gui.beans.DataSourceListener
 
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.DataVisualizer
Accept a data set
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Filter
Accept a data set
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.FlowByExpression
 
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Join
Accept and process a data set
acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.ModelPerformanceChart
Display a threshold curve.
acceptDataSet(VisualizableErrorEvent) - Method in class weka.gui.beans.ModelPerformanceChart
Display a scheme error plot.
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Saver
Method reacts to a dataset event and starts the writing process in batch mode
acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.Saver
Method reacts to a threshold data event ans starts the writing process in batch mode.
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Sorter
Accept and process a data set event
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.SubstringLabeler
Accept and process a data set event
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TestSetMaker
Accepts and processes a data set event
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TextViewer
Accept a data set for displaying as text
acceptDataSet(ThresholdDataEvent) - Method in interface weka.gui.beans.ThresholdDataListener
 
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TrainingSetMaker
Accept a data set
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
Accept a data set
acceptDataSet(VisualizableErrorEvent) - Method in interface weka.gui.beans.VisualizableErrorListener
 
acceptGraph(GraphEvent) - Method in interface weka.gui.beans.GraphListener
Describe acceptGraph method here.
acceptGraph(GraphEvent) - Method in class weka.gui.beans.GraphViewer
Accept a graph
acceptImage(ImageEvent) - Method in interface weka.gui.beans.ImageListener
Accept and process an ImageEvent
acceptImage(ImageEvent) - Method in class weka.gui.beans.ImageSaver
Accept and process an ImageEvent
acceptImage(ImageEvent) - Method in class weka.gui.beans.ImageViewer
 
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.AbstractDataSink
Accept an instance
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Appender
Accept and process an instance event
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.ClassAssigner
 
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Classifier
Accepts an instance for incremental processing.
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Filter
Accept an instance for processing by StreamableFilters only
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.FlowByExpression
 
acceptInstance(InstanceEvent) - Method in interface weka.gui.beans.InstanceListener
Accept and process an instance event
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Accept an instance to add to the batch.
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Join
 
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Saver
Methods reacts to instance events and saves instances incrementally.
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Sorter
Accept and process an instance event
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.StripChart
 
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.SubstringLabeler
Accept and process an instance event
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.SubstringReplacer
Accept and process an instance event
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.AveragingResultProducer
Accepts results from a ResultProducer.
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.CSVResultListener
Just prints out each result as it is received.
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseResultListener
Submit the result to the appropriate table of the database
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseResultProducer
Accepts results from a ResultProducer.
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.InstancesResultListener
Collects each instance and adjusts the header information.
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.LearningRateResultProducer
Accepts results from a ResultProducer.
acceptResult(ResultProducer, Object[], Object[]) - Method in interface weka.experiment.ResultListener
Accepts results from a ResultProducer.
acceptsInstances() - Method in class weka.gui.AbstractPerspective
Returns true if this perspective can do something meaningful with a set of instances
acceptsInstances() - Method in class weka.gui.beans.AttributeSummarizer
Returns true if this perspective accepts instances
acceptsInstances() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
Returns true if this perspective accepts instances
acceptsInstances() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
acceptsInstances() - Method in class weka.gui.beans.ScatterPlotMatrix
Returns true if this perspective accepts instances
acceptsInstances() - Method in class weka.gui.beans.SQLViewerPerspective
Returns true if this perspective accepts instances
acceptsInstances() - Method in class weka.gui.explorer.AssociationsPanel
 
acceptsInstances() - Method in class weka.gui.explorer.AttributeSelectionPanel
 
acceptsInstances() - Method in class weka.gui.explorer.ClassifierPanel
 
acceptsInstances() - Method in class weka.gui.explorer.ClustererPanel
 
acceptsInstances() - Method in class weka.gui.explorer.PreprocessPanel
We can accept instances
acceptsInstances() - Method in class weka.gui.explorer.VisualizePanel
This perspective processes instances
acceptsInstances() - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
Returns true, as this perspective does accept instances
acceptsInstances() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Returns true if this perspective can do something meaningful with a set of instances
acceptsInstances() - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
Returns true - we accept instances.
acceptsInstances() - Method in interface weka.gui.Perspective
Returns true if this perspective can do something meaningful with a set of instances
acceptsInstances() - Method in class weka.gui.SimpleCLIPanel
 
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.AbstractDataSink
Accept a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Appender
Accept and process a test set event
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.ClassAssigner
 
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Classifier
Accepts a test set for a batch trained classifier
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Clusterer
Accepts a test set for a batch trained clusterer
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
Accept a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.DataVisualizer
Accept a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Filter
Accept a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.FlowByExpression
 
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Join
Accept and process a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Saver
Method reacts to a test set event and starts the writing process in batch mode
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Sorter
Accept and process a test set event
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.SubstringLabeler
Accept and process a test set event
acceptTestSet(TestSetEvent) - Method in interface weka.gui.beans.TestSetListener
Accept and process a test set event
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TextViewer
Accept a test set for displaying as text
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TrainingSetMaker
 
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
Accept a test set
acceptText(TextEvent) - Method in interface weka.gui.beans.TextListener
Accept and process a text event
acceptText(TextEvent) - Method in class weka.gui.beans.TextSaver
Accept and process an TextEvent
acceptText(TextEvent) - Method in class weka.gui.beans.TextViewer
Accept some text
acceptTextResult(String, String) - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
Accept a new text result and add it to the result list
acceptTextResult(String, String) - Method in interface weka.knowledgeflow.steps.TextViewer.TextNotificationListener
Accept a new textual result
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.AbstractDataSink
Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Appender
Accept and process a training set event
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Associator
Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.ClassAssigner
 
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Classifier
Accepts a training set and builds batch classifier
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Clusterer
Accepts a training set and builds batch clusterer
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.DataVisualizer
Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Filter
Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.FlowByExpression
 
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Join
Accept and process a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Saver
Method reacts to a training set event and starts the writing process in batch mode
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Sorter
Accept and process a training set event
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.SubstringLabeler
Accept and process a training set event
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TestSetMaker
 
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TextViewer
Accept a training set for displaying as text
acceptTrainingSet(TrainingSetEvent) - Method in interface weka.gui.beans.TrainingSetListener
Accept and process a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
Accept a training set
actEntropy - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
used/reused to hold the actual entropy
action_table() - Method in class weka.core.expressionlanguage.parser.Parser
Access to parse-action table.
action_table() - Method in class weka.core.json.Parser
Access to parse-action table.
actionPerformed(ActionEvent) - Method in class weka.gui.arffviewer.ArffPanel
invoked when an action occurs
actionPerformed(ActionEvent) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
invoked when an action occurs
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.AlgorithmListPanel
Handle actions when buttons get pressed.
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.DatasetListPanel
Handle actions when buttons get pressed.
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
Handles the various button clicking type activities.
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.HostListPanel
Handle actions when text is entered into the host field or the delete button is pressed.
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.RunPanel
Controls starting and stopping the experiment.
actionPerformed(ActionEvent) - Method in class weka.gui.SimpleCLIPanel
Only gets called when return is pressed in the input area, which starts the command running.
actionPerformed(ActionEvent) - Method in class weka.gui.streams.InstanceLoader
 
actionPerformed(ActionEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Performs the action associated with the ActionEvent.
activateFilter(boolean) - Method in class weka.gui.knowledgeflow.InvisibleTreeModel
Activate/deactivate the visibility filter
ACTIVATIONFUNCTION - Enum in weka.core.pmml.jaxbbindings
Java class for ACTIVATION-FUNCTION.
ActiveHNode - Class in weka.classifiers.trees.ht
Node that is "active" (i.e.
ActiveHNode() - Constructor for class weka.classifiers.trees.ht.ActiveHNode
 
actual() - Method in class weka.classifiers.evaluation.NominalPrediction
Gets the actual class value.
actual() - Method in class weka.classifiers.evaluation.NumericPrediction
Gets the actual class value.
actual() - Method in interface weka.classifiers.evaluation.Prediction
Gets the actual class value.
actualNumBags() - Method in class weka.classifiers.trees.j48.Distribution
Returns number of non-empty bags of distribution.
actualNumClasses() - Method in class weka.classifiers.trees.j48.Distribution
Returns number of classes actually occuring in distribution.
actualNumClasses(int) - Method in class weka.classifiers.trees.j48.Distribution
Returns number of classes actually occuring in given bag.
acuityTipText() - Method in class weka.clusterers.Cobweb
Returns the tip text for this property
AdaBoostM1 - Class in weka.classifiers.meta
Class for boosting a nominal class classifier using the Adaboost M1 method.
AdaBoostM1() - Constructor for class weka.classifiers.meta.AdaBoostM1
Constructor.
add(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
Adds given instance to given bag.
add(int, double[]) - Method in class weka.classifiers.trees.j48.Distribution
Adds counts to given bag.
add(AlgVector) - Method in class weka.core.AlgVector
Returns the sum of this vector with another.
add(String) - Method in class weka.core.ClassCache
Adds the classname to the cache.
add(Defaults) - Method in class weka.core.Defaults
Add the supplied defaults to this one.
add(Instance) - Method in class weka.core.Instances
Adds one instance to the end of the set.
add(int, Instance) - Method in class weka.core.Instances
Adds one instance at the given position in the list.
add(Matrix) - Method in class weka.core.Matrix
Deprecated.
Returns the sum of this matrix with another.
add(String) - Method in class weka.core.Stopwords
adds the given word to the stopword list (is automatically converted to lower case and trimmed)
add(TechnicalInformation) - Method in class weka.core.TechnicalInformation
adds the given information to the list of additional technical informations
add(TechnicalInformation.Type) - Method in class weka.core.TechnicalInformation
Adds an empty technical information with the given type to the list of additional informations and returns the instance.
add(PrintStream) - Method in class weka.core.Tee
adds the given PrintStream to the list of streams, with NO timestamp and NO prefix.
add(PrintStream, boolean) - Method in class weka.core.Tee
adds the given PrintStream to the list of streams, with NO prefix.
add(PrintStream, boolean, String) - Method in class weka.core.Tee
adds the given PrintStream to the list of streams.
add(String) - Method in class weka.core.Trie
Ensures that this collection contains the specified element.
add(String) - Method in class weka.core.Trie.TrieNode
adds the given string to its children (creates children if necessary)
add(String, Method) - Method in class weka.core.xml.MethodHandler
adds the specified method for the property with the given displayname to its internal list.
add(Class<?>, Method) - Method in class weka.core.xml.MethodHandler
adds the specified method for the given class to its internal list.
add(double, double) - Method in class weka.experiment.PairedStats
Add an observed pair of values.
add(double[], double[]) - Method in class weka.experiment.PairedStats
Adds an array of observed pair of values.
add(double) - Method in class weka.experiment.Stats
Adds a value to the observed values
add(double, double) - Method in class weka.experiment.Stats
Adds a weighted value to the observed values
Add - Class in weka.filters.unsupervised.attribute
An instance filter that adds a new attribute to the dataset.
Add() - Constructor for class weka.filters.unsupervised.attribute.Add
 
add(int, Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Inserts the specified element at the specified position in this list.
add(Object) - Method in class weka.gui.GenericObjectEditorHistory
Adds the object to the history.
add(String) - Method in class weka.gui.HierarchyPropertyParser
Add the given item of property to the tree
ADD_CHILDREN - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
 
addActionListener(ActionListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Register a listener to be notified when plotting completes
addActionListener(ActionListener) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
Add a listener interested in kowing about editor status changes
addActionListener(ActionListener) - Method in class weka.gui.visualize.ClassPanel
Add an action listener that will be notified if the user changes the colour of a label
addActionListener(ActionListener) - Method in class weka.gui.visualize.VisualizePanel
Add a listener for this visualize panel
addAll(Collection<? extends T>) - Method in class weka.core.neighboursearch.covertrees.Stack
Adds all the given elements in the stack.
addAll(Collection<? extends String>) - Method in class weka.core.Trie
Adds all of the elements in the specified collection to this collection
addAll(List<StepManagerImpl>) - Method in class weka.knowledgeflow.Flow
All all steps in the supplied list to this Flow
addAllBeansToContainer(JComponent, Integer...) - Static method in class weka.gui.beans.BeanInstance
Adds all beans to the supplied component
addAllowed(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
adds the given property (display name) to the list of allowed properties for the specified class.
addAllResults(Map<String, LinkedHashSet<Data>>) - Method in class weka.knowledgeflow.JobEnvironment
Add all the results from the supplied map to this environment's results
addAndUpdate(Rule) - Method in class weka.classifiers.rules.RuleStats
Add a rule to the ruleset and update the stats
addArc(String, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Add arc between two nodes Distributions are updated by duplication for every value of the parent node.
addArc(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Add arc between two nodes Distributions are updated by duplication for every value of the parent node.
addArc(String, ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Add arc between parent node and each of the nodes in a given list.
addArray(String) - Method in class weka.core.json.JSONNode
Adds an array child to the object.
addArrayElement(Object) - Method in class weka.core.json.JSONNode
Adds an array element child to the array.
addAssociationModelOrBaselineModelOrClusteringModes(Object) - Method in class weka.core.pmml.jaxbbindings.PMML
 
addAttributePanelListener(AttributePanelListener) - Method in class weka.gui.visualize.AttributePanel
Add a listener to the list of things listening to this panel
addAttributeSpec(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields
Add an attribute spec to the list
addBatchAssociationRulesListener(BatchAssociationRulesListener) - Method in class weka.gui.beans.Associator
Add a batch association rules listener
addBatchClassifierListener(BatchClassifierListener) - Method in class weka.gui.beans.Classifier
Add a batch classifier listener
addBatchClustererListener(BatchClustererListener) - Method in class weka.gui.beans.Clusterer
Add a batch clusterer listener
addBean(JComponent, Integer...) - Method in class weka.gui.beans.BeanInstance
Adds this bean to the global list of beans and to the supplied container.
addBeanInstances(Vector<Object>, JComponent) - Static method in class weka.gui.beans.BeanInstance
Adds the supplied collection of beans to the end of the list of collections and to the JComponent container (if not null)
addBoolean(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
Adds a variable declaration for a boolean variable
addButton(JButton) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Adds a button to the bottom of the window.
addCancelListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
This is used to hook an action listener to the cancel button.
addCapabilities(String) - Method in class weka.core.Capabilities
generates a string from the capabilities, suitable to add to the help text.
addCapabilities(String, Capabilities) - Static method in class weka.core.CapabilitiesUtils
generates a string from the capabilities, suitable to add to the help text.
addCapabilitiesFilterListener(Explorer.CapabilitiesFilterChangeListener) - Method in class weka.gui.explorer.Explorer
adds the listener to the list of objects that listen for changes of the CapabilitiesFilter
addChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffPanel
Adds a ChangeListener to the panel
addChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffTable
Adds a ChangeListener to the panel
addChartListener(ChartListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Add a chart listener
addCheckBoxActionListener(ActionListener) - Method in class weka.gui.experiment.DistributeExperimentPanel
Enable objects to listen for changes to the check box
addChild(Edge) - Method in class weka.gui.treevisualizer.Node
Set the value of children.
addChild(FlowByExpression.ExpressionNode) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
Add a child to this bracket node
addChildClique(MarginCalculator.JunctionTreeNode) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
 
addChildFrame(Container) - Method in class weka.gui.GUIChooserApp
adds the given child frame to the list of frames.
addChildFrame(Container) - Method in class weka.gui.Main
adds the given child frame to the list of frames.
AddClassification - Class in weka.filters.supervised.attribute
A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier.
AddClassification() - Constructor for class weka.filters.supervised.attribute.AddClassification
 
AddCluster - Class in weka.filters.unsupervised.attribute
A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specified clustering algorithm.
Either the clustering algorithm gets built with the first batch of data or one specifies are serialized clusterer model file to use instead.
AddCluster() - Constructor for class weka.filters.unsupervised.attribute.AddCluster
 
addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Associator
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Classifier
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Clusterer
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConfigurationListener(ConfigurationListener) - Method in interface weka.gui.beans.ConfigurationProducer
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Filter
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConnectionListener(ConnectionListener) - Method in class weka.gui.sql.ConnectionPanel
adds the given listener to the list of listeners.
addConnectionListener(ConnectionListener) - Method in class weka.gui.sql.SqlViewer
adds the given listener to the list of listeners.
addConnections(Vector<BeanConnection>) - Static method in class weka.gui.beans.BeanConnection
Add the supplied collection of connections to the end of the list.
addContent(Object) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
 
addContent(Object) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
 
addCVParameter(String) - Method in class weka.classifiers.meta.CVParameterSelection
Adds a scheme parameter to the list of parameters to be set by cross-validation
addDataDictionary(Instances, PMML) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
Adds a data dictionary to the supplied PMML object.
addDataField(DataField) - Method in class weka.core.pmml.jaxbbindings.DataDictionary
 
addDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassAssigner
 
addDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassValuePicker
 
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.AbstractDataSource
Add a listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Appender
Add a data source listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassAssigner
 
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassValuePicker
 
addDataSourceListener(DataSourceListener) - Method in interface weka.gui.beans.DataSource
Add a data source listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.DataVisualizer
Add a listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Filter
Add a data source listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.FlowByExpression
 
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
 
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Join
Add a data source listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Loader
Add a listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.PredictionAppender
Add a datasource listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Sorter
Add a datasource listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringLabeler
Add a datasource listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringReplacer
Add a data source listener
addDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
 
addDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
 
addDouble(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
Adds a variable declaration for a double variable
addElement(E) - Method in class weka.core.FastVector
Deprecated.
Adds an element to this vector.
addElement(int, int, double) - Method in class weka.core.Matrix
Deprecated.
Add a value to an element.
addElement(double) - Method in class weka.core.matrix.DoubleVector
Adds an element into the vector
addElement(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Adds the specified component to the end of this list.
addEmptyRow() - Method in class weka.gui.InteractiveTableModel
Adds an empty row to the model
addErrs(double, double, float) - Static method in class weka.classifiers.trees.j48.Stats
Computes estimated extra error for given total number of instances and error using normal approximation to binomial distribution (and continuity correction).
addExecutionFinishedCallback(ExecutionFinishedCallback) - Method in interface weka.knowledgeflow.FlowExecutor
Add a callback to notify when execution finishes
addExecutionFinishedCallback(ExecutionFinishedCallback) - Method in class weka.knowledgeflow.FlowRunner
Set a callback to notify when flow execution finishes
AddExpression - Class in weka.filters.unsupervised.attribute
An instance filter that creates a new attribute by applying a mathematical expression to existing attributes.
AddExpression() - Constructor for class weka.filters.unsupervised.attribute.AddExpression
 
addFile(String) - Static method in class weka.core.ClassloaderUtil
Add file to CLASSPATH
addFile(File) - Static method in class weka.core.ClassloaderUtil
Add file to CLASSPATH
addFileFilter(FileFilter) - Method in class weka.gui.beans.FileEnvironmentField
Deprecated.
Add a file filter to use
addFileFilter(FileFilter) - Method in class weka.gui.FileEnvironmentField
Add a file filter to use
addFromProperties(File) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied property file
addFromProperties(String, File) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied property file
addFromProperties(File, boolean) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied property file
addFromProperties(String, File, boolean) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied property file
addFromProperties(InputStream) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied properties stream
addFromProperties(String, InputStream) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied properties stream
addFromProperties(InputStream, boolean) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied properties stream
addFromProperties(String, InputStream, boolean) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied properties stream
addFromProperties(Properties) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied properties object
addFromProperties(String, Properties) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied properties object
addFromProperties(Properties, boolean) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied properties object
addFromProperties(String, Properties, boolean) - Static method in class weka.core.PluginManager
Add all key value pairs from the supplied properties object
addFromProperties(File) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add all key value pairs from the supplied property file
addFromProperties(File, boolean) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add all key value pairs from the supplied property file
addFromProperties(InputStream) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add all key value pairs from the supplied properties stream
addFromProperties(InputStream, boolean) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add all key value pairs from the supplied properties stream
addFromProperties(Properties) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add all key value pairs from the supplied properties object
addFromProperties(Properties, boolean) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add all key value pairs from the supplied properties object
addGraphListener(GraphListener) - Method in class weka.gui.beans.Associator
Add a graph listener
addGraphListener(GraphListener) - Method in class weka.gui.beans.Classifier
Add a graph listener
addGraphListener(GraphListener) - Method in class weka.gui.beans.Clusterer
Add a graph listener
addHeader(String, String) - Method in class weka.experiment.ResultMatrix
adds the key-value pair to the header.
addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.ConnectionPanel
adds the given listener to the list of listeners.
addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.QueryPanel
adds the given listener to the list of listeners.
addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.SqlViewer
adds the given listener to the list of listeners.
AddID - Class in weka.filters.unsupervised.attribute
An instance filter that adds an ID attribute to the dataset.
AddID() - Constructor for class weka.filters.unsupervised.attribute.AddID
 
addIgnored(String) - Method in class weka.core.xml.PropertyHandler
adds the given display name of a property to the ignore list.
addIgnored(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
adds the given class with the display name of a property to the ignore list.
addImageListener(ImageListener) - Method in class weka.gui.beans.DataVisualizer
Add an image listener
addImageListener(ImageListener) - Method in class weka.gui.beans.ModelPerformanceChart
Add an image listener
addIncomingConnection(String, StepManagerImpl) - Method in class weka.knowledgeflow.StepManagerImpl
Add an incoming connection (comprising of the type of connection and associated step component) to this step of the specified type
addIncrementalClassifierListener(IncrementalClassifierListener) - Method in class weka.gui.beans.Classifier
Add an incremental classifier listener
addIndexedValueToNamedStore(String, Integer, Object) - Method in class weka.knowledgeflow.steps.PairedDataHelper
Adds a value to a named store with the given index.
addInstance(Instance) - Method in class weka.clusterers.Cobweb
Deprecated.
updateClusterer(Instance) should be used instead
addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Adds an instance to the ball tree.
addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
Adds an instance to the ball tree.
addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Adds an instance to the tree.
addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Adds an instance to the ball tree.
addInstance() - Method in class weka.gui.arffviewer.ArffPanel
Add an instance at the currently selected index.
addInstanceAtEnd() - Method in class weka.gui.arffviewer.ArffPanel
Add an instance at the end of the dataset
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.BallTree
Adds the given instance's info.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.CoverTree
Adds the given instance info.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Updates the instance info in the underlying search method, once the instance has been filtered.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.KDTree
Adds one instance to KDTree loosly.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.LinearNNSearch
Adds the given instance info.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Adds information from the given instance without modifying the datastructure a lot.
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.AbstractDataSource
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Appender
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.ClassAssigner
 
addInstanceListener(InstanceListener) - Method in interface weka.gui.beans.DataSource
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Filter
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.FlowByExpression
 
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
 
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Join
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Loader
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.PredictionAppender
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Sorter
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringLabeler
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringReplacer
Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceJoiner
 
addInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceLoader
 
addInstanceListener(InstanceListener) - Method in interface weka.gui.streams.InstanceProducer
 
addInstanceNumberAttribute() - Method in class weka.gui.visualize.PlotData2D
Adds an instance number attribute to the plottable instances,
addInstWithUnknown(Instances, int) - Method in class weka.classifiers.trees.j48.Distribution
Adds all instances with unknown values for given attribute, weighted according to frequency of instances in each bag.
additional() - Method in class weka.core.TechnicalInformation
returns an enumeration of all the additional technical informations (if there are any)
AdditionalMeasureProducer - Interface in weka.core
Interface to something that can produce measures other than those calculated by evaluation modules.
AdditiveRegression - Class in weka.classifiers.meta
Meta classifier that enhances the performance of a regression base classifier.
AdditiveRegression() - Constructor for class weka.classifiers.meta.AdditiveRegression
Default constructor specifying DecisionStump as the classifier
AdditiveRegression(Classifier) - Constructor for class weka.classifiers.meta.AdditiveRegression
Constructor which takes base classifier as argument.
addKeyword(String, MutableAttributeSet) - Method in class weka.gui.scripting.SyntaxDocument
Associates a keyword with a particular formatting style.
addKeywords(String[], MutableAttributeSet) - Method in class weka.gui.scripting.SyntaxDocument
Associates the keywords with a particular formatting style.
addLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
Method to add a LayoutCompleteEventListener
addLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in interface weka.gui.graphvisualizer.LayoutEngine
This method adds a LayoutCompleteEventListener to the LayoutEngine.
addMiningFields(MiningField) - Method in class weka.core.pmml.jaxbbindings.MiningSchema
 
addModel(SimpleLinearRegression) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
Takes the given simple linear regression model and adds it to this one.
addMouseListener(MouseListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Adds a mouse listener.
addMouseListenerToHeader(JTable) - Method in class weka.gui.SortedTableModel
Adds a mouselistener to the header: left-click on the header sorts in ascending manner, using shift-left-click in descending manner.
addNode(String, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Add new node to the network, initializing instances, parentsets, distributions.
addNode(String, int, int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Add node to network at a given position, initializing instances, parentsets, distributions.
addNodeValue(int, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Add node value to a node.
AddNoise - Class in weka.filters.unsupervised.attribute
An instance filter that changes a percentage of a given attribute's values.
AddNoise() - Constructor for class weka.filters.unsupervised.attribute.AddNoise
 
addNoise(Instances, int, int, int, boolean) - Method in class weka.filters.unsupervised.attribute.AddNoise
add noise to the dataset a given percentage of the instances are changed in the way that a set of instances are randomly selected using seed.
addNull(String) - Method in class weka.core.json.JSONNode
Adds a "null" child to the object.
addNullArrayElement() - Method in class weka.core.json.JSONNode
Adds a null array element child to the array.
addNumericPredictor(NumericPredictor) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
 
addObject(String) - Method in class weka.core.json.JSONNode
Adds an object child to the object.
addObject(String, Object) - Method in class weka.gui.ResultHistoryPanel
Adds an object to the results list.
addObjectArrayElement() - Method in class weka.core.json.JSONNode
Add a key-value object child into the array
addOkListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
This is used to hook an action listener to the ok button.
addOrOverwriteObject(String, Object) - Method in class weka.gui.ResultHistoryPanel
Adds an object to the result list.
addOutgoingConnection(String, StepManagerImpl) - Method in class weka.knowledgeflow.StepManagerImpl
Add an outgoing connection (comprising of the type of connection and associated target step) to this step of the specified type.
addOutgoingConnection(String, StepManagerImpl, boolean) - Method in class weka.knowledgeflow.StepManagerImpl
Add an outgoing connection (comprising of the type of connection and associated target step) to this step of the specified type.
addOutputField(OutputField) - Method in class weka.core.pmml.jaxbbindings.Output
 
addPackageToClassLoader(File) - Method in class weka.core.WekaPackageClassLoaderManager
Create a class loader for the given package directory
addParent(int, Instances) - Method in class weka.classifiers.bayes.net.ParentSet
Add parent to parent set and update internals (specifically the cardinality of the parent set)
addParent(int, int, Instances) - Method in class weka.classifiers.bayes.net.ParentSet
Add parent to parent set at specific location and update internals (specifically the cardinality of the parent set)
addPCell(PCell) - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
 
addPlot(PlotData2D) - Method in class weka.gui.visualize.Plot2D
Add a plot to the list of plots to display
addPlot(PlotData2D) - Method in class weka.gui.visualize.VisualizePanel
Set a new plot to the visualize panel
addPlotNotificationListener(StripChart.PlotNotificationListener) - Method in class weka.knowledgeflow.steps.StripChart
Add a plot notification listener
addPlugin(String, String, String) - Static method in class weka.core.PluginManager
Add a plugin.
addPlugin(String, String, String, boolean) - Static method in class weka.core.PluginManager
Add a plugin.
addPlugin(String, String, String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add a plugin.
addPlugin(String, String, String, boolean) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add a plugin.
addPluginResource(String, String, String) - Static method in class weka.core.PluginManager
Add a resource.
addPluginResource(String, String, String, String) - Static method in class weka.core.PluginManager
Add a resource.
addPluginResource(String, String, String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add a resource.
addPluginResourcesFromProperty(String) - Static method in class weka.core.PluginManager
Add resources from a list.
addPreBuiltClassifier(Classifier) - Method in class weka.classifiers.meta.Vote
Add a prebuilt classifier to the list for use in the ensemble
addPrediction(NominalPrediction) - Method in class weka.classifiers.evaluation.ConfusionMatrix
Includes a prediction in the confusion matrix.
addPredictions(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.ConfusionMatrix
Includes a whole bunch of predictions in the confusion matrix.
addPrimitive(String, Boolean) - Method in class weka.core.json.JSONNode
Adds a key-value child to the object.
addPrimitive(String, Integer) - Method in class weka.core.json.JSONNode
Adds a key-value child to the object.
addPrimitive(String, Double) - Method in class weka.core.json.JSONNode
Adds a key-value child to the object.
addPrimitive(String, String) - Method in class weka.core.json.JSONNode
Adds a key-value child to the object.
addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.AbstractDataSource
Add a property change listener to this bean
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.AssociatorCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.BeanVisual
Add a listener for property change events
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassAssignerCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassValuePickerCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClustererCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
Add a property change listener
addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.DataVisualizer
Add a property change listener to this bean
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.FilterCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.LoaderCustomizer
Add a property change listener
addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
Add a property change listener to this bean
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SaverCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.StripChartCustomizer
Add a property change listener
addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.TextViewer
Add a property change listener to this bean
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer
Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.ColorEditor
 
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.CostMatrixEditor
Adds an object to the list of those that wish to be informed when the cost matrix changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.EnvironmentField
 
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.AbstractSetupPanel
Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupModePanel
Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupPanel
Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SimpleSetupPanel
Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.explorer.PreprocessPanel
Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericArrayEditor
Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericObjectEditor
Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PasswordField
 
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PropertySheetPanel
Adds a PropertyChangeListener.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SetInstancesPanel
Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SimpleDateFormatEditor
Adds an object to the list of those that wish to be informed when the date format changes.
addPropertyChangeListenersSubFlow(PropertyChangeListener) - Method in class weka.gui.beans.MetaBean
 
addPSFontReplacement(String, String) - Static method in class weka.gui.visualize.PostscriptGraphics
adds the PS font name to replace and its replacement in the replacement hashtable
addQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.QueryPanel
adds the given listener to the list of listeners.
addQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.SqlViewer
adds the given listener to the list of listeners.
addRange(int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution
Adds all instances in given range to given bag.
addRelation(Instances) - Method in class weka.core.Attribute
Adds a relation to a relation-valued attribute.
addRemoteExperimentListener(RemoteExperimentListener) - Method in class weka.experiment.RemoteExperiment
Add an object to the list of those interested in recieving update information from the RemoteExperiment
addRemoteExperimentListener(RemoteExperimentListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
Add an object to the list of those interested in recieving update information from the RemoteExperiment
addRemoteHost(String) - Method in class weka.experiment.RemoteExperiment
Add a host name to the list of remote hosts
addRenderingHints(Map<?, ?>) - Method in class weka.gui.visualize.PostscriptGraphics
 
addRepaintNotify(Component) - Method in class weka.gui.visualize.ClassPanel
Adds a component that will need to be repainted if the user changes the colour of a label.
addRepaintNotify(Component) - Method in class weka.gui.visualize.LegendPanel
Adds a component that will need to be repainted if the user changes the colour of a label.
addResult(String, StringBuffer) - Method in class weka.gui.ResultHistoryPanel
Adds a new result to the result list.
addResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.ResultPanel
adds the given listener to the list of listeners
addResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.SqlViewer
adds the given listener to the list of listeners.
addScriptFinishedListener(ScriptExecutionListener) - Method in class weka.gui.scripting.Script
Adds the given listener to its internal list.
addSettingsMenuItemToProgramMenu(Settings) - Method in class weka.gui.PerspectiveManager
Applications can call this to allow access to the settings editor from the program menu (in addition to the toolbar widget that pops up the settings editor)
addStartupListener(StartUpListener) - Static method in class weka.gui.beans.KnowledgeFlowApp
Add a listener to be notified when startup is complete
addStartupListener(StartUpListener) - Static method in class weka.gui.Main
Add a listener to be notified when startup is complete.
addStep(StepManagerImpl) - Method in class weka.knowledgeflow.Flow
Add the given Step to this flow
addStepOutputListener(StepOutputListener, String) - Method in class weka.knowledgeflow.StepManagerImpl
Register non-step third party to receive data from the managed step for the specified outgoing connection type.
addString(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
Adds a variable declaration for a string variable
addStringValue(String) - Method in class weka.core.Attribute
Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
addStringValue(Attribute, int) - Method in class weka.core.Attribute
Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
addTab(String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
addTab(String) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Add a new titled tab to the UI
addTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffSortedTableModel
adds a listener to the list that is notified each time a change to data model occurs
addTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffTableModel
adds a listener to the list that is notified each time a change to data model occurs
addTableModelListener(TableModelListener) - Method in class weka.gui.sql.ResultSetTableModel
adds a listener to the list that is notified each time a change to data model occurs.
addTarget(Target) - Method in class weka.core.pmml.jaxbbindings.Targets
 
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTestSetProducer
Add a listener for test sets
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Add a test set listener
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.ClassAssigner
 
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.Filter
Add a test set listener
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.PredictionAppender
Add a test set listener
addTestSetListener(TestSetListener) - Method in interface weka.gui.beans.TestSetProducer
Add a listener for test set events
addTextListener(TextListener) - Method in class weka.gui.beans.Associator
Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.Classifier
Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.Clusterer
Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.TextViewer
Add a text listener
addThresholdDataListener(ThresholdDataListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Add a threshold data listener
addTitleUpdatedListener(TitleUpdatedListener) - Method in class weka.gui.scripting.ScriptingPanel
Adds the listener to the internal list.
addToDisabledList(List<String>) - Static method in class weka.core.PluginManager
Add the supplied list of fully qualified class names to the disabled list
addToDisabledList(String) - Static method in class weka.core.PluginManager
Add the supplied fully qualified class name to the list of disabled plugins
addToDisabledList(List<String>) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add the supplied list of fully qualified class names to the disabled list
addToDisabledList(String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Add the supplied fully qualified class name to the list of disabled plugins
addToHistory() - Method in class weka.gui.PropertyPanel
Adds the current editor value to the history.
addToHistory(Object) - Method in class weka.gui.PropertyPanel
Adds the specified value to the history.
addToList(Object[], double) - Method in class weka.attributeSelection.BestFirst.LinkedList2
adds an element (Link) to the list.
addToPluginBeanProps(File) - Static method in class weka.gui.beans.BeansProperties
 
addToPluginBeanProps(File) - Static method in class weka.gui.beans.KnowledgeFlowApp
Add a plugin bean props file
addToResult(Data) - Method in class weka.knowledgeflow.JobEnvironment
Add a non-incremental data object to the result
addToStepProperties(Map<String, Map<String, String>>) - Method in class weka.knowledgeflow.JobEnvironment
Add the supplied map of step properties.
addTrainingInstance(Instance) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Adds a training instance to the visualization dataset.
addTrainingInstanceFromMouseLocation(int, int, int, double) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Adds a training instance to our dataset, based on the coordinates of the mouse on the panel.
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Add a training set listener
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainingSetProducer
Add a training set listener
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.ClassAssigner
 
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.Filter
Add a training set listener
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.PredictionAppender
Add a training set listener
addTrainingSetListener(TrainingSetListener) - Method in interface weka.gui.beans.TrainingSetProducer
Add a training set listener
addUndoPoint() - Method in interface weka.core.Undoable
adds an undo point to the undo history
addUndoPoint() - Method in class weka.gui.arffviewer.ArffPanel
adds the current state of the instances to the undolist
addUndoPoint() - Method in class weka.gui.arffviewer.ArffSortedTableModel
adds an undo point to the undo history
addUndoPoint() - Method in class weka.gui.arffviewer.ArffTableModel
adds an undo point to the undo history, if the undo support is enabled
addUndoPoint() - Method in class weka.gui.explorer.PreprocessPanel
Backs up the current state of the dataset, so the changes can be undone.
addUntitledTab() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Add a new untitled tab to the UI
addURL(URL) - Static method in class weka.core.ClassloaderUtil
Add URL to CLASSPATH
AddUserFields - Class in weka.filters.unsupervised.attribute
A filter that adds new attributes with user specified type and constant value.
AddUserFields() - Constructor for class weka.filters.unsupervised.attribute.AddUserFields
Constructs a new AddUserFields
AddUserFields.AttributeSpec - Class in weka.filters.unsupervised.attribute
Inner class encapsulating a new user-specified attribute to create.
AddUserFieldsBeanInfo - Class in weka.filters.unsupervised.attribute
Bean info class for the AddUserFields filter.
AddUserFieldsBeanInfo() - Constructor for class weka.filters.unsupervised.attribute.AddUserFieldsBeanInfo
 
AddUserFieldsCustomizer - Class in weka.gui.filters
Customizer for the AddUserFields filter.
AddUserFieldsCustomizer() - Constructor for class weka.gui.filters.AddUserFieldsCustomizer
Constructor
addValue(double, double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Add a new data value to the current estimator.
addValue(Value) - Method in class weka.core.pmml.jaxbbindings.DataField
 
addValue(double, double, double) - Method in interface weka.estimators.ConditionalEstimator
Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.DDConditionalEstimator
Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.DiscreteEstimator
Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.DKConditionalEstimator
Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.DNConditionalEstimator
Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.Estimator
Add a new data value to the current estimator.
addValue(double, double) - Method in interface weka.estimators.IncrementalEstimator
Add one value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.KDConditionalEstimator
Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.KernelEstimator
Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.KKConditionalEstimator
Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.MahalanobisEstimator
Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.NDConditionalEstimator
Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.NNConditionalEstimator
Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.NormalEstimator
Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.PoissonEstimator
Add a new data value to the current estimator.
addValue(double, double) - Method in interface weka.estimators.UnivariateDensityEstimator
Adds a value to the density estimator.
addValue(double, double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Adds a value to the density estimator.
addValue(double, double) - Method in interface weka.estimators.UnivariateIntervalEstimator
Adds a value to the interval estimator.
addValue(double, double) - Method in class weka.estimators.UnivariateKernelEstimator
Adds a value to the density estimator.
addValue(double, double) - Method in class weka.estimators.UnivariateMixtureEstimator
Adds a value to the density estimator.
addValue(double, double) - Method in class weka.estimators.UnivariateNormalEstimator
Adds a value to the density estimator.
addValue(double, double) - Method in interface weka.estimators.UnivariateQuantileEstimator
Adds a value to the interval estimator.
addValues(Instances, int) - Method in class weka.estimators.Estimator
Initialize the estimator with a new dataset.
addValues(Instances, int, double, double, double) - Method in class weka.estimators.Estimator
Initialize the estimator with all values of one attribute of a dataset.
addValues(Instances, int, int, int) - Method in class weka.estimators.Estimator
Initialize the estimator using only the instances of one class.
addValues(Instances, int, int, int, double, double) - Method in class weka.estimators.Estimator
Initialize the estimator using only the instances of one class.
AddValues - Class in weka.filters.unsupervised.attribute
Adds the labels from the given list to an attribute if they are missing.
AddValues() - Constructor for class weka.filters.unsupervised.attribute.AddValues
 
addVariable(String, String) - Method in class weka.core.Environment
Add a variable to the internal map of this properties object.
addVariableSystemWide(String, String) - Method in class weka.core.Environment
Add a a variable to the internal map of this properties object and to the global system-wide environment;
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.AbstractDataSource
Add a vetoable change listener to this bean
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.CostBenefitAnalysis
 
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.DataVisualizer
Add a vetoable change listener to this bean
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.GraphViewer
Add a vetoable change listener to this bean
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
Add a vetoable change listener to this bean
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.TextViewer
Add a vetoable change listener to this bean
addVisualizableErrorListener(VisualizableErrorListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Add a visualizable error listener
addWeights(Instance, double[]) - Method in class weka.classifiers.trees.j48.Distribution
Adds given instance to all bags weighting it according to given weights.
adjustCenter(double) - Method in class weka.gui.treevisualizer.Node
Will increase or decrease the postion of center.
adjustWeightsTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns the tip text for this property
ADNode - Class in weka.classifiers.bayes.net
The ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set in an Instances object.
ADNode() - Constructor for class weka.classifiers.bayes.net.ADNode
Creates new ADNode
advanceCounters() - Method in class weka.experiment.Experiment
Increments iteration counters appropriately.
advanceCounters() - Method in class weka.experiment.RemoteExperiment
overides the one in Experiment
aggregate(Evaluation) - Method in class weka.classifiers.AggregateableEvaluation
Adds the statistics encapsulated in the supplied Evaluation object into this one.
aggregate(NaiveBayes) - Method in class weka.classifiers.bayes.NaiveBayes
 
aggregate(NaiveBayesMultinomialText) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
 
aggregate(Evaluation) - Method in class weka.classifiers.evaluation.AggregateableEvaluation
Adds the statistics encapsulated in the supplied Evaluation object into this one.
aggregate(Logistic) - Method in class weka.classifiers.functions.Logistic
Aggregate an object with this one
aggregate(SGD) - Method in class weka.classifiers.functions.SGD
Aggregate an object with this one
aggregate(SGDText) - Method in class weka.classifiers.functions.SGDText
Aggregate an object with this one
aggregate(Bagging) - Method in class weka.classifiers.meta.Bagging
Aggregate an object with this one
aggregate(Classifier) - Method in class weka.classifiers.meta.Vote
Aggregate an object with this one
aggregate(E) - Method in interface weka.core.Aggregateable
Aggregate an object with this one
aggregate(DictionaryBuilder) - Method in class weka.core.DictionaryBuilder
 
Aggregate - Class in weka.core.pmml.jaxbbindings
Java class for Aggregate element declaration.
Aggregate() - Constructor for class weka.core.pmml.jaxbbindings.Aggregate
 
aggregate(DiscreteEstimator) - Method in class weka.estimators.DiscreteEstimator
 
aggregate(KernelEstimator) - Method in class weka.estimators.KernelEstimator
 
aggregate(NormalEstimator) - Method in class weka.estimators.NormalEstimator
 
Aggregateable<E> - Interface in weka.core
Interface to something that can aggregate an object of the same type with itself.
AggregateableEvaluation - Class in weka.classifiers
Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.
AggregateableEvaluation(Instances) - Constructor for class weka.classifiers.AggregateableEvaluation
Constructs a new AggregateableEvaluation object
AggregateableEvaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.AggregateableEvaluation
Constructs a new AggregateableEvaluation object
AggregateableEvaluation(Evaluation) - Constructor for class weka.classifiers.AggregateableEvaluation
Constructs a new AggregateableEvaluation object based on an Evaluation object
AggregateableEvaluation - Class in weka.classifiers.evaluation
Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.
AggregateableEvaluation(Instances) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
Constructs a new AggregateableEvaluation object
AggregateableEvaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
Constructs a new AggregateableEvaluation object
AggregateableEvaluation(Evaluation) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
Constructs a new AggregateableEvaluation object based on an Evaluation object
aggregateCanopies(List<Canopy>, double, double, NormalizableDistance, Filter, int) - Static method in class weka.clusterers.Canopy
Aggregate the canopies from a list of Canopy clusterers together into one final model.
Agrawal - Class in weka.datagenerators.classifiers.classification
Generates a people database and is based on the paper by Agrawal et al.:
R.
Agrawal() - Constructor for class weka.datagenerators.classifiers.classification.Agrawal
initializes the generator with default values
AIC - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
 
AlgorithmListPanel - Class in weka.gui.experiment
This panel controls setting a list of algorithms for an experiment to iterate over.
AlgorithmListPanel(Experiment) - Constructor for class weka.gui.experiment.AlgorithmListPanel
Creates the algorithm list panel with the given experiment.
AlgorithmListPanel() - Constructor for class weka.gui.experiment.AlgorithmListPanel
Create the algorithm list panel initially disabled.
AlgorithmListPanel.ObjectCellRenderer - Class in weka.gui.experiment
Class required to show the Classifiers nicely in the list
AlgVector - Class in weka.core
Class for performing operations on an algebraic vector of floating-point values.
AlgVector(int) - Constructor for class weka.core.AlgVector
Constructs a vector and initializes it with default values.
AlgVector(double[]) - Constructor for class weka.core.AlgVector
Constructs a vector using a given array.
AlgVector(Instances, Random) - Constructor for class weka.core.AlgVector
Constructs a vector using a given data format.
AlgVector(Instance) - Constructor for class weka.core.AlgVector
Constructs a vector using an instance.
alignBottom(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
align set of nodes with the bottom most node in the list
alignLeft(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
align set of nodes with the left most node in the list
alignRight(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
align set of nodes with the right most node in the list
alignTop(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
align set of nodes with the top most node in the list
ALL - Static variable in class weka.core.Debug
the log level All
allAttributeWeightsIdentical() - Method in class weka.core.Instances
Returns true if all attribute weights are the same and false otherwise.
AllFilter - Class in weka.filters
A simple instance filter that passes all instances directly through.
AllFilter() - Constructor for class weka.filters.AllFilter
 
allInstanceWeightsIdentical() - Method in class weka.core.Instances
Returns true if all instance weights are the same and false otherwise.
AllJavadoc - Class in weka.core
Applies all known Javadoc-derived classes to a source file.
AllJavadoc() - Constructor for class weka.core.AllJavadoc
 
allowAccessToFullInputFormat() - Method in class weka.filters.SimpleBatchFilter
Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.
allowAccessToFullInputFormat() - Method in class weka.filters.supervised.attribute.MergeNominalValues
We need access to the full input data in determineOutputFormat.
allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
We need access to the full input data in determineOutputFormat.
allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.
allowed() - Method in class weka.core.xml.PropertyHandler
returns an enumeration of the classnames for which only certain properties (display names) are allowed
allowUnclassifiedInstancesTipText() - Method in class weka.classifiers.trees.RandomTree
Returns the tip text for this property
AlphabeticTokenizer - Class in weka.core.tokenizers
Alphabetic string tokenizer, tokens are to be formed only from contiguous alphabetic sequences.
AlphabeticTokenizer() - Constructor for class weka.core.tokenizers.AlphabeticTokenizer
 
alphaTipText() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
 
Alternate - Class in weka.core.pmml.jaxbbindings
Java class for Alternate element declaration.
Alternate() - Constructor for class weka.core.pmml.jaxbbindings.Alternate
 
AlterRelationName - Class in weka.knowledgeflow.steps
Step that alters the relation name for data received via instance, dataSet, trainingSet and testSet connections
AlterRelationName() - Constructor for class weka.knowledgeflow.steps.AlterRelationName
 
ALWAYS_SEND_INSTANCES_TO_ALL - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
ALWAYS_SEND_INSTANCES_TO_ALL_KEY - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
amplitudeTipText() - Method in class weka.datagenerators.classifiers.regression.Expression
Returns the tip text for this property
amplitudeTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Returns the tip text for this property
and(Capabilities) - Method in class weka.core.Capabilities
performs an AND conjunction with the capabilities of the given Capabilities object and updates itself
and(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'&' or 'and' logical and operator
AND - Static variable in interface weka.core.expressionlanguage.parser.sym
 
Annotation - Class in weka.core.pmml.jaxbbindings
Java class for Annotation element declaration.
Annotation() - Constructor for class weka.core.pmml.jaxbbindings.Annotation
 
Anova - Class in weka.core.pmml.jaxbbindings
Java class for Anova element declaration.
Anova() - Constructor for class weka.core.pmml.jaxbbindings.Anova
 
AnovaRow - Class in weka.core.pmml.jaxbbindings
Java class for AnovaRow element declaration.
AnovaRow() - Constructor for class weka.core.pmml.jaxbbindings.AnovaRow
 
Antd(Attribute) - Constructor for class weka.classifiers.rules.JRip.Antd
Constructor
AntecedentSequence - Class in weka.core.pmml.jaxbbindings
Java class for AntecedentSequence element declaration.
AntecedentSequence() - Constructor for class weka.core.pmml.jaxbbindings.AntecedentSequence
 
AnyDistribution - Class in weka.core.pmml.jaxbbindings
Java class for AnyDistribution element declaration.
AnyDistribution() - Constructor for class weka.core.pmml.jaxbbindings.AnyDistribution
 
APP_ID - Static variable in class weka.gui.GUIChooserApp.GUIChooserDefaults
ID
APP_ID - Static variable in class weka.gui.WorkbenchDefaults
 
APP_ID - Static variable in class weka.knowledgeflow.KFDefaults
 
APP_NAME - Static variable in class weka.gui.GUIChooserApp.GUIChooserDefaults
APP name (GUIChooser isn't really an "app" as such
APP_NAME - Static variable in class weka.gui.WorkbenchDefaults
 
APP_NAME - Static variable in class weka.knowledgeflow.KFDefaults
 
append(CharSequence, int, int) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
Appends a subsequence of the specified character sequence to this output stream.
append(CharSequence) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
Appends the specified character sequence to this output stream.
append(char) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
Appends the specified character to this output stream.
append(char) - Method in class weka.core.Tee
Appends the specified character to this output stream.
append(CharSequence) - Method in class weka.core.Tee
Appends the specified character sequence to this output stream.
append(CharSequence, int, int) - Method in class weka.core.Tee
Appends a subsequence of the specified character sequence to this output stream.
append(String, String) - Method in class weka.gui.sql.InfoPanel
adds the given message to the end of the list (with the associated icon at the beginning)
append(Object) - Method in class weka.gui.sql.InfoPanel
adds the given message to the end of the list
appendBeans(JComponent, Vector<Object>, int) - Static method in class weka.gui.beans.BeanInstance
 
appendConnections(Vector<BeanConnection>, int) - Static method in class weka.gui.beans.BeanConnection
Append the supplied connections to the list for the given tab index
appendElements(Collection<? extends E>) - Method in class weka.core.FastVector
Deprecated.
Appends all elements of the supplied vector to this vector.
Appender - Class in weka.gui.beans
A bean that appends multiple incoming data connections into a single data set.
Appender() - Constructor for class weka.gui.beans.Appender
Constructs a new Appender.
Appender - Class in weka.knowledgeflow.steps
A bean that appends multiple incoming data connections into a single data set.
Appender() - Constructor for class weka.knowledgeflow.steps.Appender
 
AppenderBeanInfo - Class in weka.gui.beans
Bean info class for the appender bean
AppenderBeanInfo() - Constructor for class weka.gui.beans.AppenderBeanInfo
 
appendPredictedProbabilitiesTipText() - Method in class weka.gui.beans.PredictionAppender
Return a tip text suitable for displaying in a GUI
Application - Class in weka.core.pmml.jaxbbindings
Java class for Application element declaration.
Application() - Constructor for class weka.core.pmml.jaxbbindings.Application
 
Application(String, String) - Constructor for class weka.core.pmml.jaxbbindings.Application
 
appliesToNominalClass() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
Return true if this evaluation metric can be computed when the class is nominal
appliesToNumericClass() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
Return true if this evaluation metric can be computed when the class is numeric
Apply - Class in weka.core.pmml.jaxbbindings
Java class for Apply element declaration.
Apply() - Constructor for class weka.core.pmml.jaxbbindings.Apply
 
apply(Instance) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Apply this rule to the supplied instance
apply(Instance) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Apply this rule to the supplied instance
apply(String[]) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Apply this rule to the supplied array of strings.
applyClassifier(PMMLModel, Instances) - Static method in class weka.core.pmml.PMMLFactory
 
applyCostMatrix(Instances, Random) - Method in class weka.classifiers.CostMatrix
Applies the cost matrix to a set of instances.
applyDefaults(Defaults) - Method in class weka.core.Settings
Applies a set of default settings.
applyMinMaxRescaleCast(double) - Method in class weka.core.pmml.TargetMetaInfo
Apply min and max, rescaleFactor, rescaleConstant and castInteger - in that order (where defined).
applyMissingAndOutlierTreatments(double[]) - Method in class weka.core.pmml.MiningSchema
Apply both missing and outlier treatments to an incoming instance.
applyMissingValuesTreatment(double[]) - Method in class weka.core.pmml.MiningSchema
Apply the missing value treatments (if any) to an incoming instance.
applyMissingValueTreatment(double) - Method in class weka.core.pmml.MiningFieldMetaInfo
Apply the missing value treatment method for this field.
applyOutlierTreatment(double) - Method in class weka.core.pmml.MiningFieldMetaInfo
Apply the outlier treatment method for this field.
applyOutlierTreatment(double[]) - Method in class weka.core.pmml.MiningSchema
Apply the outlier treatment methods (if any) to an incoming instance.
applyRules(Instance) - Method in class weka.gui.beans.SubstringReplacerRules
 
applySettings(Settings) - Method in class weka.core.packageManagement.DefaultPackageManager
Apply settings.
applySettings(Settings) - Method in class weka.core.packageManagement.PackageManager
Apply the supplied settings.
applySettings(Settings) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
No-op implementation.
applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
Apply user-changed settings
applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.DataVisualizerInteractiveView
Apply any user changes in the supplied settings object
applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.ModelPerformanceChartInteractiveView
Apply any user changes in the supplied settings object
applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
Apply any changes to the settings
applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
Apply settings from the supplied settings object
applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
Applys settings from the supplied settings object
applySettings(Settings, String) - Method in class weka.gui.visualize.AttributePanel
Apply settings
applySettings(Settings, String) - Method in class weka.gui.visualize.MatrixPanel
 
applySettings(Settings, String) - Method in class weka.gui.visualize.Plot2D
Apply settings
applySettings(Settings, String) - Method in class weka.gui.visualize.VisualizePanel
Apply settings
applyToSettings() - Method in class weka.gui.SettingsEditor
 
applyToSettings() - Method in class weka.gui.SettingsEditor.SingleSettingsEditor
 
APPROVE_OPTION - Static variable in class weka.gui.experiment.OutputFormatDialog
Signifies an OK property selection.
APPROVE_OPTION - Static variable in class weka.gui.ListSelectorDialog
Signifies an OK property selection
APPROVE_OPTION - Static variable in class weka.gui.PropertySelectorDialog
Signifies an OK property selection
APPROVE_OPTION - Static variable in class weka.gui.ViewerDialog
Signifies an OK property selection
Apriori - Class in weka.associations
Class implementing an Apriori-type algorithm.
Apriori() - Constructor for class weka.associations.Apriori
Constructor that allows to sets default values for the minimum confidence and the maximum number of rules the minimum confidence.
AprioriItemSet - Class in weka.associations
Class for storing a set of items.
AprioriItemSet(int) - Constructor for class weka.associations.AprioriItemSet
Constructor
areaUnderPRC(int) - Method in class weka.classifiers.Evaluation
Returns the area under precision-recall curve (AUPRC) for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
areaUnderPRC(int) - Method in class weka.classifiers.evaluation.Evaluation
Returns the area under precision-recall curve (AUPRC) for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
areaUnderROC(int) - Method in class weka.classifiers.Evaluation
Returns the area under ROC for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
areaUnderROC(int) - Method in class weka.classifiers.evaluation.Evaluation
Returns the area under ROC for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
ARFF_ATTRIBUTE - Static variable in class weka.core.Attribute
The keyword used to denote the start of an arff attribute declaration
ARFF_ATTRIBUTE_DATE - Static variable in class weka.core.Attribute
The keyword used to denote a date attribute
ARFF_ATTRIBUTE_INTEGER - Static variable in class weka.core.Attribute
A keyword used to denote a numeric attribute
ARFF_ATTRIBUTE_NUMERIC - Static variable in class weka.core.Attribute
A keyword used to denote a numeric attribute
ARFF_ATTRIBUTE_REAL - Static variable in class weka.core.Attribute
A keyword used to denote a numeric attribute
ARFF_ATTRIBUTE_RELATIONAL - Static variable in class weka.core.Attribute
The keyword used to denote a relation-valued attribute
ARFF_ATTRIBUTE_STRING - Static variable in class weka.core.Attribute
The keyword used to denote a string attribute
ARFF_DATA - Static variable in class weka.core.Instances
The keyword used to denote the start of the arff data section
ARFF_END_SUBRELATION - Static variable in class weka.core.Attribute
The keyword used to denote the end of the declaration of a subrelation
ARFF_RELATION - Static variable in class weka.core.Instances
The keyword used to denote the start of an arff header
ArffLoader - Class in weka.core.converters
Reads a source that is in arff (attribute relation file format) format.
ArffLoader() - Constructor for class weka.core.converters.ArffLoader
 
ArffLoader.ArffReader - Class in weka.core.converters
Reads data from an ARFF file, either in incremental or batch mode.
ArffPanel - Class in weka.gui.arffviewer
A Panel representing an ARFF-Table and the associated filename.
ArffPanel() - Constructor for class weka.gui.arffviewer.ArffPanel
initializes the panel with no data
ArffPanel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffPanel
initializes the panel and loads the specified file
ArffPanel(Instances) - Constructor for class weka.gui.arffviewer.ArffPanel
initializes the panel with the given data
ArffReader(Reader) - Constructor for class weka.core.converters.ArffLoader.ArffReader
Reads the data completely from the reader.
ArffReader(Reader, int) - Constructor for class weka.core.converters.ArffLoader.ArffReader
 
ArffReader(Reader, int, boolean) - Constructor for class weka.core.converters.ArffLoader.ArffReader
Reads only the header and reserves the specified space for instances.
ArffReader(Reader, Instances, int, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
Reads the data without header according to the specified template.
ArffReader(Reader, Instances, int, int, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
Initializes the reader without reading the header according to the specified template.
ArffReader(Reader, Instances, int, int, boolean, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
Initializes the reader without reading the header according to the specified template.
ArffSaver - Class in weka.core.converters
Writes to a destination in arff text format.
ArffSaver() - Constructor for class weka.core.converters.ArffSaver
Constructor
ArffSortedTableModel - Class in weka.gui.arffviewer
A sorter for the ARFF-Viewer - necessary because of the custom CellRenderer.
ArffSortedTableModel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
initializes the sorter w/o a model, but loads the given file and creates from that a model
ArffSortedTableModel(Instances) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
initializes the sorter w/o a model, but uses the given data to create a model from that
ArffSortedTableModel(TableModel) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
initializes the sorter with the given model
ArffTable - Class in weka.gui.arffviewer
A specialized JTable for the Arff-Viewer.
ArffTable() - Constructor for class weka.gui.arffviewer.ArffTable
initializes with no model
ArffTable(TableModel) - Constructor for class weka.gui.arffviewer.ArffTable
initializes with the given model
ArffTableCellRenderer - Class in weka.gui.arffviewer
Handles the background colors for missing values differently than the DefaultTableCellRenderer.
ArffTableCellRenderer() - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
initializes the Renderer with a standard color
ArffTableCellRenderer(Color, Color) - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
initializes the Renderer with the given colors
ArffTableCellRenderer(Color, Color, Color, Color) - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
initializes the Renderer with the given colors
ArffTableModel - Class in weka.gui.arffviewer
The model for the Arff-Viewer.
ArffTableModel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffTableModel
initializes the object and loads the given file
ArffTableModel(Instances) - Constructor for class weka.gui.arffviewer.ArffTableModel
initializes the model with the given data
ArffViewer - Class in weka.gui.arffviewer
A little tool for viewing ARFF files.
ArffViewer() - Constructor for class weka.gui.arffviewer.ArffViewer
initializes the object
ArffViewerMainPanel - Class in weka.gui.arffviewer
The main panel of the ArffViewer.
ArffViewerMainPanel(Container) - Constructor for class weka.gui.arffviewer.ArffViewerMainPanel
initializes the object
Array - Class in weka.core.pmml
Class for encapsulating a PMML Array element.
Array.ArrayType - Enum in weka.core.pmml
 
arrayLeftDivide(Matrix) - Method in class weka.core.matrix.Matrix
Element-by-element left division, C = A.\B
arrayLeftDivideEquals(Matrix) - Method in class weka.core.matrix.Matrix
Element-by-element left division in place, A = A.\B
arrayRightDivide(Matrix) - Method in class weka.core.matrix.Matrix
Element-by-element right division, C = A./B
arrayRightDivideEquals(Matrix) - Method in class weka.core.matrix.Matrix
Element-by-element right division in place, A = A./B
arrayTimes(Matrix) - Method in class weka.core.matrix.Matrix
Element-by-element multiplication, C = A.*B
arrayTimesEquals(Matrix) - Method in class weka.core.matrix.Matrix
Element-by-element multiplication in place, A = A.*B
arrayToString(Object) - Static method in class weka.core.Utils
Returns the given Array in a string representation.
arrayToString(Object[]) - Static method in class weka.experiment.DatabaseUtils
Converts an array of objects to a string by inserting a space between each element.
ArrayType - Class in weka.core.pmml.jaxbbindings
Java class for ArrayType complex type.
ArrayType() - Constructor for class weka.core.pmml.jaxbbindings.ArrayType
 
ASEvaluation - Class in weka.attributeSelection
Abstract attribute selection evaluation class
ASEvaluation() - Constructor for class weka.attributeSelection.ASEvaluation
 
ASEvaluator - Class in weka.knowledgeflow.steps
Step that wraps a Weka attribute or subset evaluator.
ASEvaluator() - Constructor for class weka.knowledgeflow.steps.ASEvaluator
 
ASEvaluatorStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the ASEvaluator step
ASEvaluatorStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ASEvaluatorStepEditorDialog
 
ASSearch - Class in weka.attributeSelection
Abstract attribute selection search class.
ASSearch() - Constructor for class weka.attributeSelection.ASSearch
 
ASSearchStrategy - Class in weka.knowledgeflow.steps
Step that wraps a Weka attribute selection search strategy.
ASSearchStrategy() - Constructor for class weka.knowledgeflow.steps.ASSearchStrategy
 
assign(Capabilities) - Method in class weka.core.Capabilities
retrieves the data from the given Capabilities object
assign(TestInstances) - Method in class weka.core.TestInstances
updates itself with all the settings from the given TestInstances object
assign(Tester) - Method in class weka.experiment.PairedTTester
retrieves all the settings from the given Tester
assign(ResultMatrix) - Method in class weka.experiment.ResultMatrix
acquires the data from the given matrix.
assign(Tester) - Method in interface weka.experiment.Tester
retrieves all the settings from the given Tester
assignCanopies(Instance) - Method in class weka.clusterers.Canopy
Uses T1 distance to assign canopies to the supplied instance.
assignIDs(int) - Method in class weka.classifiers.trees.j48.ClassifierTree
Assigns a uniqe id to every node in the tree.
assignIDs(int) - Method in class weka.classifiers.trees.lmt.LMTNode
Assigns unique IDs to all nodes in the tree
assignLeafModelNumbers(int) - Method in class weka.classifiers.trees.lmt.LMTNode
Assigns numbers to the logistic regression models at the leaves of the tree
assignSubToCenters(KDTreeNode, Instances, int[], int[]) - Method in class weka.core.neighboursearch.KDTree
Assigns instances of this node to center.
associatedConnections(Vector<Object>, Integer...) - Static method in class weka.gui.beans.BeanConnection
Returns a vector of BeanConnections associated with the supplied vector of BeanInstances, i.e.
AssociationModel - Class in weka.core.pmml.jaxbbindings
Java class for AssociationModel element declaration.
AssociationModel() - Constructor for class weka.core.pmml.jaxbbindings.AssociationModel
 
AssociationRule - Class in weka.associations
Abstract class for storing and manipulating an association rule.
AssociationRule() - Constructor for class weka.associations.AssociationRule
 
AssociationRule - Class in weka.core.pmml.jaxbbindings
Java class for AssociationRule element declaration.
AssociationRule() - Constructor for class weka.core.pmml.jaxbbindings.AssociationRule
 
AssociationRules - Class in weka.associations
Class encapsulating a list of association rules.
AssociationRules(List<AssociationRule>, String) - Constructor for class weka.associations.AssociationRules
Constructs a new AssociationRules.
AssociationRules(List<AssociationRule>, Object) - Constructor for class weka.associations.AssociationRules
Constructs a new AssociationRules.
AssociationRules(List<AssociationRule>) - Constructor for class weka.associations.AssociationRules
Constructs a new AssociationRules.
AssociationRulesProducer - Interface in weka.associations
Interface to something that can provide a list of AssociationRules.
AssociationRuleVisualizePlugin - Interface in weka.gui.visualize.plugins
Interface implemented by classes loaded dynamically to visualize association results in the explorer.
AssociationsPanel - Class in weka.gui.explorer
This panel allows the user to select, configure, and run a scheme that learns associations.
AssociationsPanel() - Constructor for class weka.gui.explorer.AssociationsPanel
Creates the associator panel
Associator - Interface in weka.associations
 
Associator - Class in weka.gui.beans
Bean that wraps around weka.associations.
Associator() - Constructor for class weka.gui.beans.Associator
Creates a new Associator instance.
Associator - Class in weka.knowledgeflow.steps
Step that wraps a Weka associator.
Associator() - Constructor for class weka.knowledgeflow.steps.Associator
 
AssociatorBeanInfo - Class in weka.gui.beans
BeanInfo class for the Associator wrapper bean
AssociatorBeanInfo() - Constructor for class weka.gui.beans.AssociatorBeanInfo
 
AssociatorCustomizer - Class in weka.gui.beans
GUI customizer for the associator wrapper bean
AssociatorCustomizer() - Constructor for class weka.gui.beans.AssociatorCustomizer
 
AssociatorEvaluation - Class in weka.associations
Class for evaluating Associaters.
AssociatorEvaluation() - Constructor for class weka.associations.AssociatorEvaluation
default constructor
associatorTipText() - Method in class weka.associations.SingleAssociatorEnhancer
Returns the tip text for this property
ATT_ARRAY - Static variable in class weka.core.xml.XMLSerialization
the tag whether array or not (yes/no)
ATT_ARRAY_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
default value for attribute ATT_ARRAY
ATT_CLASS - Static variable in class weka.core.xml.XMLInstances
the class attribute
ATT_CLASS - Static variable in class weka.core.xml.XMLSerialization
the tag for the class
ATT_FORMAT - Static variable in class weka.core.xml.XMLInstances
the format attribute (for date attributes)
ATT_INDEX - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the index attribute.
ATT_INDEX - Static variable in class weka.core.xml.XMLInstances
the index attribute
ATT_MISSING - Static variable in class weka.core.xml.XMLInstances
the missing attribute
ATT_NAME - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the "name" attribute.
ATT_NAME - Static variable in class weka.core.xml.XMLDocument
the "name" attribute.
ATT_NAME - Static variable in class weka.core.xml.XMLOptions
the name attribute.
ATT_NAME - Static variable in class weka.core.xml.XMLSerialization
the tag for the name
ATT_NULL - Static variable in class weka.core.xml.XMLSerialization
the tag whether null or not (yes/no)
ATT_NULL_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
default value for attribute ATT_NULL
ATT_PREDICTED - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the predicted attribute.
ATT_PRIMITIVE - Static variable in class weka.core.xml.XMLSerialization
the tag whether primitive or not (yes/no)
ATT_PRIMITIVE_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
default value for attribute ATT_PRIMITIVE
ATT_TYPE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the "type" attribute.
ATT_TYPE - Static variable in class weka.core.xml.XMLInstances
the type attribute
ATT_TYPE - Static variable in class weka.core.xml.XMLOptions
the type attribute.
ATT_VALUE - Static variable in class weka.core.xml.XMLOptions
the value attribute.
ATT_VERSION - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the "version" attribute.
ATT_VERSION - Static variable in class weka.core.xml.XMLDocument
the "version" attribute.
ATT_VERSION - Static variable in class weka.core.xml.XMLInstances
the version attribute
ATT_VERSION - Static variable in class weka.core.xml.XMLSerialization
the version attribute
ATT_WEIGHT - Static variable in class weka.core.xml.XMLInstances
the weight attribute
AttDefaults() - Constructor for class weka.gui.knowledgeflow.AttributeSummaryPerspective.AttDefaults
 
attIndex() - Method in class weka.classifiers.trees.j48.BinC45Split
Returns index of attribute for which split was generated.
attIndex() - Method in class weka.classifiers.trees.j48.C45Split
Returns index of attribute for which split was generated.
attIndex() - Method in class weka.classifiers.trees.j48.NBTreeSplit
Returns index of attribute for which split was generated.
attList_IrrTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the tip text for this property
attribute(int) - Method in class weka.core.AbstractInstance
Returns the attribute with the given index.
Attribute - Class in weka.core
Class for handling an attribute.
Attribute(String) - Constructor for class weka.core.Attribute
Constructor for a numeric attribute.
Attribute(String, ProtectedProperties) - Constructor for class weka.core.Attribute
Constructor for a numeric attribute, where metadata is supplied.
Attribute(String, boolean) - Constructor for class weka.core.Attribute
Constructor for a numeric or string attribute.
Attribute(String, boolean, ProtectedProperties) - Constructor for class weka.core.Attribute
Constructor for a numeric or string attribute, where metadata is supplied.
Attribute(String, String) - Constructor for class weka.core.Attribute
Constructor for a date attribute.
Attribute(String, String, ProtectedProperties) - Constructor for class weka.core.Attribute
Constructor for a date attribute, where metadata is supplied.
Attribute(String, List<String>) - Constructor for class weka.core.Attribute
Constructor for nominal attributes and string attributes.
Attribute(String, List<String>, ProtectedProperties) - Constructor for class weka.core.Attribute
Constructor for nominal attributes and string attributes, where metadata is supplied.
Attribute(String, Instances) - Constructor for class weka.core.Attribute
Constructor for relation-valued attributes.
Attribute(String, Instances, ProtectedProperties) - Constructor for class weka.core.Attribute
Constructor for relation-valued attributes.
Attribute(String, int) - Constructor for class weka.core.Attribute
Constructor for a numeric attribute with a particular index.
Attribute(String, String, int) - Constructor for class weka.core.Attribute
Constructor for date attributes with a particular index.
Attribute(String, List<String>, int) - Constructor for class weka.core.Attribute
Constructor for nominal attributes and string attributes with a particular index.
Attribute(String, Instances, int) - Constructor for class weka.core.Attribute
Constructor for a relation-valued attribute with a particular index.
attribute(int) - Method in interface weka.core.Instance
Returns the attribute with the given index.
attribute(int) - Method in class weka.core.Instances
Returns an attribute.
attribute(String) - Method in class weka.core.Instances
Returns an attribute given its name.
Attribute - Class in weka.core.pmml.jaxbbindings
Java class for Attribute element declaration.
Attribute() - Constructor for class weka.core.pmml.jaxbbindings.Attribute
 
attributeAsClass() - Method in class weka.gui.arffviewer.ArffPanel
sets the current attribute as class attribute, i.e.
attributeAsClass() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
sets the current selected Attribute as class attribute, i.e.
attributeAsClassAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sets the attribute at the given col index as the new class attribute
attributeAsClassAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
sets the attribute at the given col index as the new class attribute, i.e.
attributeCaseFix(String) - Method in class weka.experiment.DatabaseUtils
returns key column headings in their original case.
attributeCaseFix(String) - Method in interface weka.experiment.InstanceQueryAdapter
returns key column headings in their original case.
AttributeEvaluator - Interface in weka.attributeSelection
Interface for classes that evaluate attributes individually.
attributeIndexesTipText() - Method in class weka.filters.unsupervised.attribute.NominalToString
Returns the tip text for this property
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.Add
Returns the tip text for this property.
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
Returns the tip text for this property
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.AddValues
Returns the tip text for this property
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
 
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
 
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Returns the tip text for this property.
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
 
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues
 
attributeIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns the tip text for this property
attributeIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
attributeIndicesTipText() - Method in class weka.core.NormalizableDistance
Returns the tip text for this property.
attributeIndicesTipText() - Method in class weka.filters.supervised.attribute.Discretize
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Copy
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.FirstOrder
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Remove
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the tip text for this property.
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Reorder
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.SortLabels
Returns the tip text for this property.
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
AttributeListPanel - Class in weka.gui
Creates a panel that displays the attributes contained in a set of instances, letting the user select a single attribute for inspection.
AttributeListPanel() - Constructor for class weka.gui.AttributeListPanel
Creates the attribute selection panel with no initial instances.
AttributeLocator - Class in weka.core
This class locates and records the indices of a certain type of attributes, recursively in case of Relational attributes.
AttributeLocator(Instances, int) - Constructor for class weka.core.AttributeLocator
Initializes the AttributeLocator with the given data for the specified type of attribute.
AttributeLocator(Instances, int, int, int) - Constructor for class weka.core.AttributeLocator
Initializes the AttributeLocator with the given data for the specified type of attribute.
AttributeLocator(Instances, int, int[]) - Constructor for class weka.core.AttributeLocator
initializes the AttributeLocator with the given data for the specified type of attribute.
AttributeMetaInfo - Class in weka.core
 
AttributeMetaInfo(ProtectedProperties, Attribute) - Constructor for class weka.core.AttributeMetaInfo
Creates the meta info object based on the given meta data.
attributeNamePrefixTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
attributeNamePrefixTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
attributeNames() - Method in class weka.classifiers.functions.SMO
Returns the attribute names.
attributeNameTipText() - Method in class weka.filters.unsupervised.attribute.Add
Returns the tip text for this property.
attributeNameTipText() - Method in class weka.filters.unsupervised.attribute.AddID
Returns the tip text for this property
AttributePanel - Class in weka.gui.visualize
This panel displays one dimensional views of the attributes in a dataset.
AttributePanel() - Constructor for class weka.gui.visualize.AttributePanel
 
AttributePanel(Color) - Constructor for class weka.gui.visualize.AttributePanel
This constructs an attributePanel.
AttributePanelEvent - Class in weka.gui.visualize
Class encapsulating a change in the AttributePanel's selected x and y attributes.
AttributePanelEvent(boolean, boolean, int) - Constructor for class weka.gui.visualize.AttributePanelEvent
Constructor
AttributePanelListener - Interface in weka.gui.visualize
Interface for classes that want to listen for Attribute selection changes in the attribute panel
attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.StringToNominal
 
ATTRIBUTES - Static variable in class weka.core.json.JSONInstances
the attributes object.
AttributeSelectedClassifier - Class in weka.classifiers.meta
Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.
AttributeSelectedClassifier() - Constructor for class weka.classifiers.meta.AttributeSelectedClassifier
Default constructor.
AttributeSelection - Class in weka.attributeSelection
Attribute selection class.
AttributeSelection() - Constructor for class weka.attributeSelection.AttributeSelection
constructor.
AttributeSelection - Class in weka.filters.supervised.attribute
A supervised attribute filter that can be used to select attributes.
AttributeSelection() - Constructor for class weka.filters.supervised.attribute.AttributeSelection
Constructor
attributeSelectionChange(AttributePanelEvent) - Method in interface weka.gui.visualize.AttributePanelListener
Called when the user clicks on an attribute bar
attributeSelectionMethodTipText() - Method in class weka.classifiers.functions.LinearRegression
Returns the tip text for this property
AttributeSelectionPanel - Class in weka.gui
Creates a panel that displays the attributes contained in a set of instances, letting the user toggle whether each attribute is selected or not (eg: so that unselected attributes can be removed before classification).
AttributeSelectionPanel() - Constructor for class weka.gui.AttributeSelectionPanel
Creates the attribute selection panel with no initial instances.
AttributeSelectionPanel(boolean, boolean, boolean, boolean) - Constructor for class weka.gui.AttributeSelectionPanel
Creates the attribute selection panel with no initial instances.
AttributeSelectionPanel - Class in weka.gui.explorer
This panel allows the user to select and configure an attribute evaluator and a search method, set the attribute of the current dataset to be used as the class, and perform attribute selection using one of two selection modes (select using all the training data or perform a n-fold cross validation---on each trial selecting features using n-1 folds of the data).
AttributeSelectionPanel() - Constructor for class weka.gui.explorer.AttributeSelectionPanel
Creates the classifier panel
AttributeSelectionPanel.TestMode - Enum in weka.gui.explorer
 
AttributeSetEvaluator - Class in weka.attributeSelection
Abstract attribute set evaluator.
AttributeSetEvaluator() - Constructor for class weka.attributeSelection.AttributeSetEvaluator
 
attributeSparse(int) - Method in class weka.core.AbstractInstance
Returns the attribute with the given index in the sparse representation.
attributeSparse(int) - Method in interface weka.core.Instance
Returns the attribute with the given index in the sparse representation.
AttributeSpec() - Constructor for class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Default constructor
AttributeSpec(String) - Constructor for class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Constructor that takes an attribute specification in internal format
attributeSpecsTipText() - Method in class weka.filters.unsupervised.attribute.AddUserFields
Returns the tip text for this property.
AttributeStats - Class in weka.core
A Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.
AttributeStats() - Constructor for class weka.core.AttributeStats
 
attributeStats(int) - Method in class weka.core.Instances
Calculates summary statistics on the values that appear in this set of instances for a specified attribute.
attributesTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the tip text for this property.
attributesTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Tip text for this property suitable for displaying in the GUI.
attributesToString() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Make a string from the attribues list.
AttributeSummarizer - Class in weka.gui.beans
Bean that encapsulates displays bar graph summaries for attributes in a data set.
AttributeSummarizer() - Constructor for class weka.gui.beans.AttributeSummarizer
Creates a new AttributeSummarizer instance.
AttributeSummarizer - Class in weka.knowledgeflow.steps
Step that collects data to display in a summary overview of attribute distributions
AttributeSummarizer() - Constructor for class weka.knowledgeflow.steps.AttributeSummarizer
 
AttributeSummarizerBeanInfo - Class in weka.gui.beans
Bean info class for the attribute summarizer bean
AttributeSummarizerBeanInfo() - Constructor for class weka.gui.beans.AttributeSummarizerBeanInfo
 
AttributeSummarizerCustomizer - Class in weka.gui.beans
GUI customizer for attribute summarizer.
AttributeSummarizerCustomizer() - Constructor for class weka.gui.beans.AttributeSummarizerCustomizer
Constructor
AttributeSummarizerInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive viewer for the AttributeSummarizer step
AttributeSummarizerInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
 
AttributeSummarizerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the attribute summarizer step
AttributeSummarizerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.AttributeSummarizerStepEditorDialog
 
AttributeSummaryPanel - Class in weka.gui
This panel displays summary statistics about an attribute: name, type number/% of missing/unique values, number of distinct values.
AttributeSummaryPanel() - Constructor for class weka.gui.AttributeSummaryPanel
Creates the instances panel with no initial instances.
AttributeSummaryPerspective - Class in weka.gui.knowledgeflow
Knowledge Flow perspective that provides a matrix of AttributeVisualizationPanels
AttributeSummaryPerspective() - Constructor for class weka.gui.knowledgeflow.AttributeSummaryPerspective
Constructor
AttributeSummaryPerspective.AttDefaults - Class in weka.gui.knowledgeflow
Default settings for the AttributeSummaryPerspective
attributeToDoubleArray(int) - Method in class weka.core.Instances
Gets the value of all instances in this dataset for a particular attribute.
AttributeTransformer - Interface in weka.attributeSelection
Abstract attribute transformer.
attributeTypeTipText() - Method in class weka.filters.unsupervised.attribute.Add
Returns the tip text for this property
attributeTypeTipText() - Method in class weka.filters.unsupervised.attribute.RemoveType
Returns the tip text for this property
attributeTypeToString(int) - Static method in class weka.core.CheckScheme
returns a string representation of the attribute type
attributeValues - Variable in class weka.classifiers.evaluation.output.prediction.InMemory.PredictionContainer
the associated attribute values (attribute-name - value).
AttributeVisualizationPanel - Class in weka.gui
Creates a panel that shows a visualization of an attribute in a dataset.
AttributeVisualizationPanel() - Constructor for class weka.gui.AttributeVisualizationPanel
Constructor - If used then the class will not show the class selection combo box.
AttributeVisualizationPanel(boolean) - Constructor for class weka.gui.AttributeVisualizationPanel
Constructor.
attrIndexRangeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns the tip text for this property
attrSplit(int, Instances) - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
Finds the best splitting point for an attribute in the instances
attrSplit(int, Instances) - Method in interface weka.classifiers.trees.m5.SplitEvaluate
Finds the best splitting point for an attribute in the instances
attrSplit(int, Instances) - Method in class weka.classifiers.trees.m5.YongSplitInfo
Finds the best splitting point for an attribute in the instances
autoBuildTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
autoKeyGenerationTipText() - Method in class weka.core.converters.DatabaseSaver
Returns the tip text for this property.
AVERAGE_RULE - Static variable in class weka.classifiers.meta.Vote
combination rule: Average of Probabilities
AveragingResultProducer - Class in weka.experiment
Takes the results from a ResultProducer and submits the average to the result listener.
AveragingResultProducer() - Constructor for class weka.experiment.AveragingResultProducer
 
avgCost() - Method in class weka.classifiers.Evaluation
Gets the average cost, that is, total cost of misclassifications (incorrect plus unclassified) over the total number of instances.
avgCost() - Method in class weka.classifiers.evaluation.Evaluation
Gets the average cost, that is, total cost of misclassifications (incorrect plus unclassified) over the total number of instances.
avgProb - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
used/reused to hold the average transformation probability
AXIS_COLOR - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
Axis colour default
AXIS_COLOUR_KEY - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
Axis colour key

B

B_ENTROPY - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
B_SPHERE - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
Blend setting modes
BACKGROUND_COLOR - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
Scatter plot background colour default
BACKGROUND_COLOUR_KEY - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
Scatter plot background colour key
BackgroundDesktopPane(String) - Constructor for class weka.gui.Main.BackgroundDesktopPane
intializes the desktop pane.
backQuoteChars(String) - Static method in class weka.core.Utils
Converts carriage returns and new lines in a string into \r and \n.
BACKUP_EXTENSION - Static variable in class weka.gui.scripting.Script
the backup extension.
Bagging - Class in weka.classifiers.meta
Class for bagging a classifier to reduce variance.
Bagging() - Constructor for class weka.classifiers.meta.Bagging
Constructor.
bagSizePercentTipText() - Method in class weka.classifiers.meta.Bagging
Returns the tip text for this property
balanceClassTipText() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Returns the tip text for this property
BallNode - Class in weka.core.neighboursearch.balltrees
Class representing a node of a BallTree.
BallNode(int) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
Constructor.
BallNode(int, int, int) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
Creates a new instance of BallNode.
BallNode(int, int, int, Instance, double) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
Creates a new instance of BallNode.
BallSplitter - Class in weka.core.neighboursearch.balltrees
Abstract class for splitting a ball tree's BallNode.
BallSplitter() - Constructor for class weka.core.neighboursearch.balltrees.BallSplitter
default constructor.
BallSplitter(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.BallSplitter
Creates a new instance of BallSplitter.
ballSplitterTipText() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Returns the tip text for this property.
BallTree - Class in weka.core.neighboursearch
Class implementing the BallTree/Metric Tree algorithm for nearest neighbour search.
The connection to dataset is only a reference.
BallTree() - Constructor for class weka.core.neighboursearch.BallTree
Creates a new instance of BallTree.
BallTree(Instances) - Constructor for class weka.core.neighboursearch.BallTree
Creates a new instance of BallTree.
BallTreeConstructor - Class in weka.core.neighboursearch.balltrees
Abstract class for constructing a BallTree .
BallTreeConstructor() - Constructor for class weka.core.neighboursearch.balltrees.BallTreeConstructor
Creates a new instance of BallTreeConstructor.
ballTreeConstructorTipText() - Method in class weka.core.neighboursearch.BallTree
Returns the tip text for this property.
BAR_BACKGROUND_COLOUR - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
Attribute bar background colour key
BAR_BACKGROUND_COLOUR_KEY - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
Attribute bar background colour key
BASE_ICON_PATH - Static variable in class weka.gui.knowledgeflow.KFGUIConsts
Base path for step icons
BASE_ICON_PATH - Static variable in class weka.gui.knowledgeflow.StepVisual
Standard base path for Step icons
baseClassifiersImplementMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.Stacking
Returns true if any of the base classifiers are able to generate batch predictions efficiently and all of them implement BatchPredictor.
BaseCumHazardTables - Class in weka.core.pmml.jaxbbindings
Java class for BaseCumHazardTables element declaration.
BaseCumHazardTables() - Constructor for class weka.core.pmml.jaxbbindings.BaseCumHazardTables
 
BaseExecutionEnvironment - Class in weka.knowledgeflow
Base class for execution environments
BaseExecutionEnvironment() - Constructor for class weka.knowledgeflow.BaseExecutionEnvironment
 
BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults - Class in weka.knowledgeflow
Defaults for the base execution environment
BaseExecutionEnvironmentDefaults() - Constructor for class weka.knowledgeflow.BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults
 
BaseInteractiveViewer - Class in weka.gui.knowledgeflow
Base class than clients can extend when implementing StepInteractiveViewer.
BaseInteractiveViewer() - Constructor for class weka.gui.knowledgeflow.BaseInteractiveViewer
Constructor
Baseline - Class in weka.core.pmml.jaxbbindings
Java class for Baseline element declaration.
Baseline() - Constructor for class weka.core.pmml.jaxbbindings.Baseline
 
BaselineCell - Class in weka.core.pmml.jaxbbindings
Java class for BaselineCell element declaration.
BaselineCell() - Constructor for class weka.core.pmml.jaxbbindings.BaselineCell
 
BaselineModel - Class in weka.core.pmml.jaxbbindings
Java class for BaselineModel element declaration.
BaselineModel() - Constructor for class weka.core.pmml.jaxbbindings.BaselineModel
 
BaselineStratum - Class in weka.core.pmml.jaxbbindings
Java class for BaselineStratum element declaration.
BaselineStratum() - Constructor for class weka.core.pmml.jaxbbindings.BaselineStratum
 
BASELINETESTSTATISTIC - Enum in weka.core.pmml.jaxbbindings
Java class for BASELINE-TEST-STATISTIC.
BaseSimpleDataVisualizer - Class in weka.knowledgeflow.steps
Abstract base class for simple data visualization steps that just collect data sets for visualization.
BaseSimpleDataVisualizer() - Constructor for class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
 
BaseStep - Class in weka.knowledgeflow.steps
Base class for implementations of Step to use.
BaseStep() - Constructor for class weka.knowledgeflow.steps.BaseStep
Constructor
BaseStepExtender - Interface in weka.knowledgeflow.steps
A minimal set of methods, duplicated from the Step interface, that a simple subclass of BaseStep would need to implement in order to function as a start and/or main processing step in the Knowledge Flow.
baseTipText() - Method in class weka.core.neighboursearch.CoverTree
Returns the tip text for this property.
BasicAction(String, String, String, Character) - Constructor for class weka.gui.scripting.FileScriptingPanel.BasicAction
Constructor for setting up an action.
BATCH - Static variable in interface weka.core.converters.Loader
 
BATCH - Static variable in interface weka.core.converters.Saver
 
BATCH_FINISHED - Static variable in class weka.gui.beans.IncrementalClassifierEvent
 
BATCH_FINISHED - Static variable in class weka.gui.beans.InstanceEvent
 
BATCH_FINISHED - Static variable in class weka.gui.streams.InstanceEvent
Specifies that the batch of instances is finished
BATCH_SIZE_DEFAULT - Static variable in class weka.classifiers.AbstractClassifier
Default preferred batch size for batch predictions
BatchAssociationRulesEvent - Class in weka.gui.beans
Class encapsulating a set of association rules.
BatchAssociationRulesEvent(Object, AssociationRules) - Constructor for class weka.gui.beans.BatchAssociationRulesEvent
Creates a new BatchAssociationRulesEvent instance.
BatchAssociationRulesListener - Interface in weka.gui.beans
Interface to something that can process a BatchAssociationRulesEvent.
BatchClassifierEvent - Class in weka.gui.beans
Class encapsulating a built classifier and a batch of instances to test on.
BatchClassifierEvent(Object, Classifier, DataSetEvent, DataSetEvent, int, int) - Constructor for class weka.gui.beans.BatchClassifierEvent
Creates a new BatchClassifierEvent instance.
BatchClassifierEvent(Object, Classifier, DataSetEvent, DataSetEvent, int, int, int, int) - Constructor for class weka.gui.beans.BatchClassifierEvent
Creates a new BatchClassifierEvent instance.
BatchClassifierListener - Interface in weka.gui.beans
Interface to something that can process a BatchClassifierEvent
BatchClustererEvent - Class in weka.gui.beans
Class encapsulating a built clusterer and a batch of instances to test on.
BatchClustererEvent(Object, Clusterer, DataSetEvent, int, int, int) - Constructor for class weka.gui.beans.BatchClustererEvent
Creates a new BatchClustererEvent instance.
BatchClustererListener - Interface in weka.gui.beans
Interface to something that can process a BatchClustererEvent
BatchConverter - Interface in weka.core.converters
Marker interface for a loader/saver that can retrieve instances in batch mode
batchFilterFile(Filter, String[]) - Static method in class weka.filters.Filter
Method for testing filters ability to process multiple batches.
batchFinished() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
 
batchFinished() - Method in class weka.classifiers.functions.SGDText
 
batchFinished() - Method in interface weka.classifiers.UpdateableBatchProcessor
Signal that the training data is finished (for now).
batchFinished() - Method in class weka.filters.Filter
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.MultiFilter
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.SimpleBatchFilter
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.SimpleStreamFilter
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.AttributeSelection
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.ClassOrder
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.Discretize
Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.NominalToBinary
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.PartitionMembership
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.instance.Resample
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.instance.SpreadSubsample
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.AddCluster
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.AddID
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.AddNoise
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.Center
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.Discretize
Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.MathExpression
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.NominalToString
Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.Normalize
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.RemoveType
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.Standardize
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.StringToNominal
Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.Randomize
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveRange
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.Resample
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.gui.streams.InstanceJoiner
Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.gui.streams.InstanceSavePanel
 
batchFinished() - Method in class weka.gui.streams.InstanceTable
 
batchFinished() - Method in class weka.gui.streams.InstanceViewer
 
BatchPredictor - Interface in weka.core
Interface to something that can produce predictions in a batch manner when presented with a set of Instances.
batchSizeTipText() - Method in class weka.classifiers.AbstractClassifier
Returns the tip text for this property
batchSizeTipText() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Tool tip text for this property
batchSizeTipText() - Method in class weka.classifiers.meta.Bagging
Tool tip text for this property
batchSizeTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Tool tip text for this property
batchSizeTipText() - Method in class weka.classifiers.meta.FilteredClassifier
Tool tip text for this property
batchSizeTipText() - Method in class weka.classifiers.meta.RandomCommittee
Tool tip text for this property
batchSizeTipText() - Method in class weka.classifiers.meta.RandomSubSpace
Tool tip text for this property
BAYES - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
score types
BayesInput - Class in weka.core.pmml.jaxbbindings
Java class for BayesInput element declaration.
BayesInput() - Constructor for class weka.core.pmml.jaxbbindings.BayesInput
 
BayesInputs - Class in weka.core.pmml.jaxbbindings
Java class for BayesInputs element declaration.
BayesInputs() - Constructor for class weka.core.pmml.jaxbbindings.BayesInputs
 
BayesNet - Class in weka.classifiers.bayes
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier.
BayesNet() - Constructor for class weka.classifiers.bayes.BayesNet
 
BayesNet - Static variable in interface weka.core.Drawable
 
BayesNet - Class in weka.datagenerators.classifiers.classification
Generates random instances based on a Bayes network.
BayesNet() - Constructor for class weka.datagenerators.classifiers.classification.BayesNet
initializes the generator
BayesNetEstimator - Class in weka.classifiers.bayes.net.estimate
BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure has been learned.
BayesNetEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.BayesNetEstimator
 
BayesNetGenerator - Class in weka.classifiers.bayes.net
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier.
BayesNetGenerator() - Constructor for class weka.classifiers.bayes.net.BayesNetGenerator
Constructor for BayesNetGenerator.
BayesOutput - Class in weka.core.pmml.jaxbbindings
Java class for BayesOutput element declaration.
BayesOutput() - Constructor for class weka.core.pmml.jaxbbindings.BayesOutput
 
BDeu - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
 
BEAN_EXECUTING - Static variable in class weka.gui.beans.BeanInstance
 
BeanCommon - Interface in weka.gui.beans
Interface specifying routines that all weka beans should implement in order to allow the bean environment to exercise some control over the bean and also to allow the bean to exercise some control over connections.
BeanConnection - Class in weka.gui.beans
Class for encapsulating a connection between two beans.
BeanConnection(BeanInstance, BeanInstance, EventSetDescriptor, Integer...) - Constructor for class weka.gui.beans.BeanConnection
Creates a new BeanConnection instance.
BeanCustomizer - Interface in weka.gui.beans
Extends java.beans.Customizer and provides a method to register a listener interested in notification about whether the customizer has modified the object that it is customizing.
BeanCustomizer.ModifyListener - Interface in weka.gui.beans
Interface for something that is interested in the modified status of a source object (typically a BeanCustomizer that is editing an object)
BeanInstance - Class in weka.gui.beans
Class that manages a set of beans.
BeanInstance(JComponent, Object, int, int, Integer...) - Constructor for class weka.gui.beans.BeanInstance
Creates a new BeanInstance instance.
BeanInstance(JComponent, String, int, int, Integer...) - Constructor for class weka.gui.beans.BeanInstance
Creates a new BeanInstance instance given the fully qualified name of the bean
BeansProperties - Class in weka.gui.beans
Utility class encapsulating various properties for the KnowledgeFlow and providing methods to register and deregister plugin Bean components
BeansProperties() - Constructor for class weka.gui.beans.BeansProperties
 
BeanVisual - Class in weka.gui.beans
BeanVisual encapsulates icons and label for a given bean.
BeanVisual(String, String, String) - Constructor for class weka.gui.beans.BeanVisual
Constructor
BestFirst - Class in weka.attributeSelection
BestFirst:

Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility.
BestFirst() - Constructor for class weka.attributeSelection.BestFirst
Constructor
BestFirst.Link2 - Class in weka.attributeSelection
Class for a node in a linked list.
BestFirst.LinkedList2 - Class in weka.attributeSelection
Class for handling a linked list.
bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.ConditionalSufficientStats
Return the best split
bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
 
bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.NominalConditionalSufficientStats
 
bias() - Method in class weka.classifiers.functions.SGDText
 
bias() - Method in class weka.classifiers.functions.SMO
Returns the bias of each binary SMO.
biasToUniformClassTipText() - Method in class weka.filters.supervised.instance.Resample
Returns the tip text for this property.
BIBTEX_ENDTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
the end comment tag for inserting the generated BibTex
BIBTEX_STARTTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
the start comment tag for inserting the generated BibTex
BIFFileTipText() - Method in class weka.classifiers.bayes.BayesNet
 
BIFFormatException - Exception in weka.gui.graphvisualizer
This is the Exception thrown by BIFParser, if there was an error in parsing the XMLBIF string or input stream.
BIFFormatException(String) - Constructor for exception weka.gui.graphvisualizer.BIFFormatException
 
BIFParser - Class in weka.gui.graphvisualizer
This class parses an inputstream or a string in XMLBIF ver.
BIFParser(String, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Constructor for class weka.gui.graphvisualizer.BIFParser
Constructor (if our input is a String)
BIFParser(InputStream, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Constructor for class weka.gui.graphvisualizer.BIFParser
Constructor (if our input is an InputStream)
BIFReader - Class in weka.classifiers.bayes.net
Builds a description of a Bayes Net classifier stored in XML BIF 0.3 format.

For more details on XML BIF see:

Fabio Cozman, Marek Druzdzel, Daniel Garcia (1998).
BIFReader() - Constructor for class weka.classifiers.bayes.net.BIFReader
the default constructor
binarizeNumericAttributesTipText() - Method in class weka.attributeSelection.InfoGainAttributeEval
Returns the tip text for this property
BINARY - Static variable in class weka.gui.beans.SerializedModelSaver
 
binaryAttributesNominalTipText() - Method in class weka.filters.supervised.attribute.NominalToBinary
Returns the tip text for this property
binaryAttributesNominalTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns the tip text for this property
BinaryItem - Class in weka.associations
Class that encapsulates an item whose backing Attribute is binary or unary.
BinaryItem(Attribute, int) - Constructor for class weka.associations.BinaryItem
Constructor.
BinarySimilarity - Class in weka.core.pmml.jaxbbindings
Java class for binarySimilarity element declaration.
BinarySimilarity() - Constructor for class weka.core.pmml.jaxbbindings.BinarySimilarity
 
BinarySMO() - Constructor for class weka.classifiers.functions.SMO.BinarySMO
 
BinarySparseInstance - Class in weka.core
Class for storing a binary-data-only instance as a sparse vector.
BinarySparseInstance(Instance) - Constructor for class weka.core.BinarySparseInstance
Constructor that generates a sparse instance from the given instance.
BinarySparseInstance(SparseInstance) - Constructor for class weka.core.BinarySparseInstance
Constructor that copies the info from the given instance.
BinarySparseInstance(double, double[]) - Constructor for class weka.core.BinarySparseInstance
Constructor that generates a sparse instance from the given parameters.
BinarySparseInstance(double, int[], int) - Constructor for class weka.core.BinarySparseInstance
Constructor that inititalizes instance variable with given values.
BinarySparseInstance(int) - Constructor for class weka.core.BinarySparseInstance
Constructor of an instance that sets weight to one, all values to 1, and the reference to the dataset to null.
binarySplitsTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
binarySplitsTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
binaryToKOML(String, String) - Static method in class weka.core.xml.SerialUIDChanger
converts a binary file into a KOML XML file
BinC45ModelSelection - Class in weka.classifiers.trees.j48
Class for selecting a C4.5-like binary (!) split for a given dataset.
BinC45ModelSelection(int, Instances, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.BinC45ModelSelection
Initializes the split selection method with the given parameters.
BinC45Split - Class in weka.classifiers.trees.j48
Class implementing a binary C4.5-like split on an attribute.
BinC45Split(int, int, double, boolean) - Constructor for class weka.classifiers.trees.j48.BinC45Split
Initializes the split model.
binomialStandardError(double, int) - Static method in class weka.core.Statistics
Computes standard error for observed values of a binomial random variable.
binRangePrecisionTipText() - Method in class weka.filters.supervised.attribute.Discretize
Returns the tip text for this property
binRangePrecisionTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
binsTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
binsTipText() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Returns the tip text for this property
BIRCHCluster - Class in weka.datagenerators.clusterers
Cluster data generator designed for the BIRCH System

Dataset is generated with instances in K clusters.
Instances are 2-d data points.
Each cluster is characterized by the number of data points in itits radius and its center.
BIRCHCluster() - Constructor for class weka.datagenerators.clusterers.BIRCHCluster
initializes the generator with default values
BIRD_IMAGE1 - Static variable in class weka.core.RepositoryIndexGenerator
 
BIRD_IMAGE2 - Static variable in class weka.core.RepositoryIndexGenerator
 
Block - Class in weka.knowledgeflow.steps
A step that waits for a specified step to finish processing before allowing incoming data to proceed downstream.
Block() - Constructor for class weka.knowledgeflow.steps.Block
 
blocker(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
A function used to stop the code that called buildclassifier from continuing on before the user has finished the decision tree.
BlockStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the Block step
BlockStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.BlockStepEditorDialog
 
BMAEstimator - Class in weka.classifiers.bayes.net.estimate
BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).
BMAEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.BMAEstimator
 
BMPWriter - Class in weka.gui.visualize
This class takes any JComponent and outputs it to a BMP-file.
BMPWriter() - Constructor for class weka.gui.visualize.BMPWriter
initializes the object.
BMPWriter(JComponent) - Constructor for class weka.gui.visualize.BMPWriter
initializes the object with the given Component.
BMPWriter(JComponent, File) - Constructor for class weka.gui.visualize.BMPWriter
initializes the object with the given Component and filename.
BOOL - Static variable in class weka.experiment.DatabaseUtils
Type mapping for BOOL used for reading experiment results.
BOOLEAN - Static variable in interface weka.core.expressionlanguage.parser.sym
 
BOOLEAN - Static variable in interface weka.core.json.sym
 
booleanColsTipText() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Returns the tip text for this property
BooleanConstant(boolean) - Constructor for class weka.core.expressionlanguage.common.Primitives.BooleanConstant
 
BooleanVariable(String) - Constructor for class weka.core.expressionlanguage.common.Primitives.BooleanVariable
 
BottomUpConstructor - Class in weka.core.neighboursearch.balltrees
The class that constructs a ball tree bottom up.
BottomUpConstructor() - Constructor for class weka.core.neighboursearch.balltrees.BottomUpConstructor
Creates a new instance of BottomUpConstructor.
BoundaryPanel - Class in weka.gui.boundaryvisualizer
BoundaryPanel.
BoundaryPanel(int, int) - Constructor for class weka.gui.boundaryvisualizer.BoundaryPanel
Creates a new BoundaryPanel instance.
BoundaryPanelDistributed - Class in weka.gui.boundaryvisualizer
This class extends BoundaryPanel with code for distributing the processing necessary to create a visualization among a list of remote machines.
BoundaryPanelDistributed(int, int) - Constructor for class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
Creates a new BoundaryPanelDistributed instance.
BoundaryPlotter - Class in weka.knowledgeflow.steps
A step that computes visualization data for class/cluster decision boundaries.
BoundaryPlotter() - Constructor for class weka.knowledgeflow.steps.BoundaryPlotter
Constructor
BoundaryPlotter.RenderingUpdateListener - Interface in weka.knowledgeflow.steps
Interface for something that wants to be informed of rendering progress updates
BoundaryPlotterInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive viewer component for the boundary plotter step
BoundaryPlotterInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
 
BoundaryPlotterStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Editor dialog for the boundary plotter step
BoundaryPlotterStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.BoundaryPlotterStepEditorDialog
 
BoundaryValueMeans - Class in weka.core.pmml.jaxbbindings
Java class for BoundaryValueMeans element declaration.
BoundaryValueMeans() - Constructor for class weka.core.pmml.jaxbbindings.BoundaryValueMeans
 
BoundaryValues - Class in weka.core.pmml.jaxbbindings
Java class for BoundaryValues element declaration.
BoundaryValues() - Constructor for class weka.core.pmml.jaxbbindings.BoundaryValues
 
BoundaryVisualizer - Class in weka.gui.boundaryvisualizer
BoundaryVisualizer.
BoundaryVisualizer() - Constructor for class weka.gui.boundaryvisualizer.BoundaryVisualizer
Creates a new BoundaryVisualizer instance.
BracketNode() - Constructor for class weka.knowledgeflow.steps.FlowByExpression.BracketNode
 
branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.Split
Returns the name of the branch that the supplied instance would go down
branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.SplitNode
Return the branch that the supplied instance goes down
branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.UnivariateNominalMultiwaySplit
 
branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.UnivariateNumericBinarySplit
 
breakTiesRandomlyTipText() - Method in class weka.classifiers.trees.RandomForest
Returns the tip text for this property
breakTiesRandomlyTipText() - Method in class weka.classifiers.trees.RandomTree
Returns the tip text for this property
breakUp(String, int) - Static method in class weka.core.Utils
Breaks up the string, if wider than "columns" characters.
BrowserHelper - Class in weka.gui
A little helper class for browser related stuff.
BrowserHelper() - Constructor for class weka.gui.BrowserHelper
 
bufferedImageMapToSerializableByteMap(Map<String, BufferedImage>) - Static method in class weka.knowledgeflow.steps.ImageViewer
Utility method to convert a map of BufferedImage to a map of byte arrays (that hold each image as png bytes)
bufferSizeTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
build(String, String) - Method in class weka.gui.HierarchyPropertyParser
Build a tree from the given property with the given delimitor
buildAssociations(Instances) - Method in class weka.associations.Apriori
Method that generates all large itemsets with a minimum support, and from these all association rules with a minimum confidence.
buildAssociations(Instances) - Method in interface weka.associations.Associator
Generates an associator.
buildAssociations(Instances) - Method in class weka.associations.FilteredAssociator
Build the associator on the filtered data.
buildAssociations(Instances) - Method in class weka.associations.FPGrowth
Method that generates all large item sets with a minimum support, and from these all association rules with a minimum metric (i.e.
buildCalibrationModelsTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
buildClassifier(Instances) - Method in class weka.classifiers.bayes.BayesNet
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayes
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
Generates the classifier.
buildClassifier(Instances) - Method in interface weka.classifiers.Classifier
Generates a classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.GaussianProcesses
Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.LinearRegression
Builds a regression model for the given data.
buildClassifier(Instances) - Method in class weka.classifiers.functions.Logistic
Builds the classifier
buildClassifier(Instances) - Method in class weka.classifiers.functions.MultilayerPerceptron
Call this function to build and train a neural network for the training data provided.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SGD
Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SGDText
Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SimpleLinearRegression
Builds a simple linear regression model given the supplied training data.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SimpleLogistic
Builds the logistic regression using LogitBoost.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SMO
Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SMOreg
Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
learn SVM parameters from data.
buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegSMO
learn SVM parameters from data using Smola's SMO algorithm.
buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
learn SVM parameters from data using Keerthi's SMO algorithm.
buildClassifier(Instances) - Method in class weka.classifiers.functions.VotedPerceptron
Builds the ensemble of perceptrons.
buildClassifier(Instances) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
Stump method for building the classifiers.
buildClassifier(Instances) - Method in class weka.classifiers.lazy.IBk
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.lazy.KStar
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.lazy.LWL
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.AdaBoostM1
Method used to build the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.AdditiveRegression
Method used to build the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Build the classifier on the dimensionally reduced data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.Bagging
Bagging method.
buildClassifier(Instances) - Method in class weka.classifiers.meta.ClassificationViaRegression
Builds the classifiers.
buildClassifier(Instances) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Builds the model of the base learner.
buildClassifier(Instances) - Method in class weka.classifiers.meta.CVParameterSelection
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
Build the classifier on the filtered data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.LogitBoost
Method used to build the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiClassClassifier
Builds the classifiers.
buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
 
buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiScheme
Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomCommittee
Builds the committee of randomizable classifiers.
buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
Build the classifier on the filtered data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomSubSpace
builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.RegressionByDiscretization
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.Stacking
Builds a classifier using stacking.
buildClassifier(Instances) - Method in class weka.classifiers.meta.Vote
Builds all classifiers in the ensemble
buildClassifier(Instances) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
Build the classifier
buildClassifier(Instances) - Method in class weka.classifiers.misc.SerializedClassifier
loads only the serialized classifier
buildClassifier(Instances) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
Stump method for building the classifiers
buildClassifier(Instances) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
Stump method for building the classifiers
buildClassifier(Instances) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Throw an exception - PMML models are pre-built.
buildClassifier(Instances) - Method in class weka.classifiers.rules.DecisionTable
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.rules.JRip
Builds Ripper in the order of class frequencies.
buildClassifier(Instances) - Method in class weka.classifiers.rules.OneR
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.rules.PART
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.rules.part.MakeDecList
Builds dec list.
buildClassifier(Instances) - Method in class weka.classifiers.rules.ZeroR
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.DecisionStump
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.HoeffdingTree
Builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
Creates a C4.5-type split on the given data.
buildClassifier(Instances) - Method in class weka.classifiers.trees.J48
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
Method for building a pruneable classifier tree.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.C45Split
Creates a C4.5-type split on the given data.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Builds the classifier split model for the given set of instances.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.ClassifierTree
Method for building a classifier tree.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
Method for building a naive bayes classifier tree
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Build the no-split node
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
Creates a NBTree-type split on the given data.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NoSplit
Creates a "no-split"-split for a given set of instances.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
Method for building a pruneable classifier tree.
buildClassifier(Instances) - Method in class weka.classifiers.trees.LMT
Builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.LMTNode
Method for building a logistic model tree (only called for the root node).
buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.LogisticBase
Builds the logistic regression model usiing LogitBoost.
buildClassifier(Instances, double[][], double[][]) - Method in class weka.classifiers.trees.lmt.ResidualSplit
Builds the split.
buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
Method not in use
buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
Builds a simple linear regression model given the supplied training data.
buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.M5Base
Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
Builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.Rule
Generates a single rule or m5 model tree.
buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.RuleNode
Build this node (find an attribute and split point)
buildClassifier(Instances) - Method in class weka.classifiers.trees.RandomTree
Builds classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.REPTree
Builds classifier.
buildClusterer(Instances) - Method in class weka.clusterers.AbstractClusterer
Generates a clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.Canopy
 
buildClusterer(Instances) - Method in interface weka.clusterers.Clusterer
Generates a clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.Cobweb
Builds the clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.EM
Generates a clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.FarthestFirst
Generates a clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.FilteredClusterer
Build the clusterer on the filtered data.
buildClusterer(Instances) - Method in class weka.clusterers.HierarchicalClusterer
 
buildClusterer(Instances) - Method in class weka.clusterers.MakeDensityBasedClusterer
Builds a clusterer for a set of instances.
buildClusterer(Instances) - Method in class weka.clusterers.SimpleKMeans
Generates a clusterer.
buildDecList(Instances, boolean) - Method in class weka.classifiers.rules.part.C45PruneableDecList
Builds the partial tree without hold out set.
buildDecList(Instances, boolean) - Method in class weka.classifiers.rules.part.ClassifierDecList
Builds the partial tree without hold out set.
buildDecList(Instances, Instances, boolean) - Method in class weka.classifiers.rules.part.PruneableDecList
Builds the partial tree with hold out set
buildEstimator(Estimator, String[], boolean) - Static method in class weka.estimators.Estimator
Build an estimator using the options.
buildEstimator(Estimator, Instances, int, int, int, boolean) - Static method in class weka.estimators.Estimator
 
buildEvaluator(Instances) - Method in class weka.attributeSelection.ASEvaluation
Generates a attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.CfsSubsetEval
Generates a attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.ClassifierAttributeEval
Initializes a ClassifierAttribute attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.ClassifierSubsetEval
Generates a attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.CorrelationAttributeEval
Initializes an information gain attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.GainRatioAttributeEval
Initializes a gain ratio attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.InfoGainAttributeEval
Initializes an information gain attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.OneRAttributeEval
Initializes a OneRAttribute attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.PrincipalComponents
Initializes principal components and performs the analysis
buildEvaluator(Instances) - Method in class weka.attributeSelection.ReliefFAttributeEval
Initializes a ReliefF attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Initializes a symmetrical uncertainty attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.WrapperSubsetEval
Generates a attribute evaluator.
buildGenerator(Instances) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
Build the data generator
buildGenerator(Instances) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
Initialize the generator using the supplied instances
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.CachedKernel
builds the kernel with the given data.
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.Kernel
builds the kernel with the given data
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
builds the kernel with the given data.
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.Puk
builds the kernel with the given data.
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.RBFKernel
Builds the kernel.
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.StringKernel
builds the kernel with the given data.
buildModel(int, double[], double[]) - Method in class weka.estimators.UnivariateMixtureEstimator
Build mixture model.
buildRegressionTreeTipText() - Method in class weka.classifiers.trees.m5.M5Base
Returns the tip text for this property
buildRule(Instances) - Method in class weka.classifiers.rules.part.ClassifierDecList
Method for building a pruned partial tree.
buildRule(Instances, Instances) - Method in class weka.classifiers.rules.part.PruneableDecList
Method for building a pruned partial tree.
buildStructure() - Method in class weka.classifiers.bayes.BayesNet
buildStructure determines the network structure/graph of the network.
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
 
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
 
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.TAN
buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
buildStructure determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.TAN
buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
buildStructure determines the network structure/graph of the network.
buildTree(Instances, boolean) - Method in class weka.classifiers.trees.j48.ClassifierTree
Builds the tree structure.
buildTree(Instances, Instances, boolean) - Method in class weka.classifiers.trees.j48.ClassifierTree
Builds the tree structure with hold out set
buildTree(Instances, SimpleLinearRegression[][], double, double, Instances) - Method in class weka.classifiers.trees.lmt.LMTNode
Method for building the tree structure.
buildTree() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Builds the ball tree.
buildTree() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
Builds the ball tree bottom up.
buildTree() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Builds a ball tree middle out.
buildTree() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Builds the ball tree top down.
BUILT_IN_EVAL_METRICS - Static variable in class weka.classifiers.Evaluation
 
BUILT_IN_EVAL_METRICS - Static variable in class weka.classifiers.evaluation.Evaluation
 
BuiltInArithmetic - Class in weka.core.pmml
Built-in function for +, -, *, /.
BuiltInArithmetic(BuiltInArithmetic.Operator) - Constructor for class weka.core.pmml.BuiltInArithmetic
Construct a new Arithmetic built-in pmml function.
BuiltInMath - Class in weka.core.pmml
Built-in function for min, max, sum, avg, log10, ln, sqrt, abs, exp, pow, threshold, floor, ceil and round.
BuiltInMath(BuiltInMath.MathFunc) - Constructor for class weka.core.pmml.BuiltInMath
Construct a new built-in pmml Math function.
BuiltInString - Class in weka.core.pmml
Built-in function for uppercase, substring and trimblanks.
BVDecompose - Class in weka.classifiers
Class for performing a Bias-Variance decomposition on any classifier using the method specified in:

Ron Kohavi, David H.
BVDecompose() - Constructor for class weka.classifiers.BVDecompose
 
BVDecomposeSegCVSub - Class in weka.classifiers
This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in (1).
The Kohavi and Wolpert definition of bias and variance is specified in (2).
The Webb definition of bias and variance is specified in (3).

Geoffrey I.
BVDecomposeSegCVSub() - Constructor for class weka.classifiers.BVDecomposeSegCVSub
 
BYTE - Static variable in class weka.experiment.DatabaseUtils
Type mapping for BYTE used for reading experiment results.
byteArrayImageMapToBufferedImageMap(Map<String, byte[]>) - Static method in class weka.knowledgeflow.steps.ImageViewer
Utility method to convert a map of byte[] png image data to a map of BufferedImage

C

C45Loader - Class in weka.core.converters
Reads a file that is C45 format.
C45Loader() - Constructor for class weka.core.converters.C45Loader
 
C45ModelSelection - Class in weka.classifiers.trees.j48
Class for selecting a C4.5-type split for a given dataset.
C45ModelSelection(int, Instances, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.C45ModelSelection
Initializes the split selection method with the given parameters.
C45PruneableClassifierTree - Class in weka.classifiers.trees.j48
Class for handling a tree structure that can be pruned using C4.5 procedures.
C45PruneableClassifierTree(ModelSelection, boolean, float, boolean, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.C45PruneableClassifierTree
Constructor for pruneable tree structure.
C45PruneableDecList - Class in weka.classifiers.rules.part
Class for handling a partial tree structure pruned using C4.5's pruning heuristic.
C45PruneableDecList(ModelSelection, double, int) - Constructor for class weka.classifiers.rules.part.C45PruneableDecList
Constructor for pruneable tree structure.
C45Saver - Class in weka.core.converters
Writes to a destination that is in the format used by the C4.5 algorithm.
Therefore it outputs a names and a data file.
C45Saver() - Constructor for class weka.core.converters.C45Saver
Constructor
C45Split - Class in weka.classifiers.trees.j48
Class implementing a C4.5-type split on an attribute.
C45Split(int, int, double, boolean) - Constructor for class weka.classifiers.trees.j48.C45Split
Initializes the split model.
CachedKernel - Class in weka.classifiers.functions.supportVector
Base class for RBFKernel and PolyKernel that implements a simple LRU.
CachedKernel() - Constructor for class weka.classifiers.functions.supportVector.CachedKernel
default constructor - does nothing.
cacheKeyNameTipText() - Method in class weka.experiment.DatabaseResultListener
Returns the tip text for this property
cacheSizeTipText() - Method in class weka.classifiers.functions.supportVector.CachedKernel
Returns the tip text for this property
cacheSizeTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the tip text for this property
CacheTable(int, float) - Constructor for class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Constructs a new hashtable with a default capacity and load factor.
CacheTable() - Constructor for class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Constructs a new hashtable with a default capacity and load factor.
calcCentroidPivot(int[], Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
Calculates the centroid pivot of a node.
calcCentroidPivot(int, int, int[], Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
Calculates the centroid pivot of a node.
calcColumnWidth(int) - Method in class weka.gui.JTableHelper
calcs the optimal column width of the given column
calcColumnWidth(JTable, int) - Static method in class weka.gui.JTableHelper
Calculates the optimal width for the column of the given table.
calcFullMargins(BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
 
calcGraph(int, int) - Method in class weka.gui.AttributeVisualizationPanel
Recalculates the barplot or histogram to display, required usually when the attribute is changed or the component is resized.
calcHeaderWidth(int) - Method in class weka.gui.JTableHelper
calcs the optimal header width of the given column
calcHeaderWidth(JTable, int) - Static method in class weka.gui.JTableHelper
Calculates the optimal width for the header of the given table.
calcMargins(BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
Calc marginal distributions of nodes in Bayesian network Note that a connected network is assumed.
calcNodeScore(int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
Calc Node Score for given parent set
calcOutOfBagTipText() - Method in class weka.classifiers.meta.Bagging
Returns the tip text for this property
calcPivot(BallNode, BallNode, Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
Calculates the centroid pivot of a node based on its two child nodes (if merging two nodes).
calcPivot(BottomUpConstructor.TempNode, BottomUpConstructor.TempNode, Instances) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
Calculates the centroid pivot of a node based on its two child nodes.
calcPivot(MiddleOutConstructor.TempNode, MiddleOutConstructor.TempNode, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
/** Calculates the centroid pivot of a node based on its two child nodes (if merging two nodes).
calcPivot(MiddleOutConstructor.MyIdxList, MiddleOutConstructor.MyIdxList, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Calculates the centroid pivot of a node based on the list of points that it contains (tbe two lists of its children are provided).
calcRadius(int[], Instances, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
Calculates the radius of node.
calcRadius(int, int, int[], Instances, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
Calculates the radius of a node.
calcRadius(BallNode, BallNode, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
Calculates the radius of a node based on its two child nodes (if merging two nodes).
calcRadius(BottomUpConstructor.TempNode, BottomUpConstructor.TempNode) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
Calculates the radius of a node based on its two child nodes.
calcRadius(MiddleOutConstructor.TempNode, MiddleOutConstructor.TempNode) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Calculates the radius of a node based on its two child nodes (if merging two nodes).
calcRadius(MiddleOutConstructor.MyIdxList, MiddleOutConstructor.MyIdxList, Instance, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Calculates the radius of a node based on the list of points that it contains (the two lists of its children are provided).
calcScore(BayesNet) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
performCV returns the accuracy calculated using cross validation.
calcScoreWithExtraParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
Calc Node Score With Added Parent
calcScoreWithExtraParent(int, int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
Calc Node Score With AddedParent
calcScoreWithMissingParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
Calc Node Score With Parent Deleted
calcScoreWithMissingParent(int, int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
Calc Node Score With Parent Deleted
calcScoreWithReversedParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
Calc Node Score With Arrow reversed
calculateAdjRSquared(double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
Returns the adjusted R-squared value for a linear regression model.
calculateAlphas() - Method in class weka.classifiers.trees.lmt.LMTNode
Updates the alpha field for all nodes.
calculateDerived() - Method in class weka.experiment.PairedStats
Calculates the derived statistics (significance etc).
calculateDerived() - Method in class weka.experiment.PairedStatsCorrected
Calculates the derived statistics (significance etc).
calculateDerived() - Method in class weka.experiment.Stats
Tells the object to calculate any statistics that don't have their values automatically updated during add.
calculateFStat(double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
Returns the F-statistic for a linear regression model.
calculateRSquared(Instances, double) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
Returns the R-squared value for a linear regression model, where sum of squared residuals is already calculated.
calculateSSR(Instances, Attribute, double, double) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
Returns the sum of squared residuals of the simple linear regression model: y = a + bx.
calculateStatistics(Instance, int, int, int) - Method in class weka.experiment.PairedCorrectedTTester
Computes a paired t-test comparison for a specified dataset between two resultsets.
calculateStatistics(Instance, int, int, int) - Method in class weka.experiment.PairedTTester
Computes a paired t-test comparison for a specified dataset between two resultsets.
calculateStatistics(Instance, int, int, int) - Method in interface weka.experiment.Tester
Computes a paired t-test comparison for a specified dataset between two resultsets.
calculateStdDevsTipText() - Method in class weka.experiment.AveragingResultProducer
Returns the tip text for this property
calculateStdErrorOfCoef(Instances, Attribute, double, double, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
Returns the standard errors of slope and intercept for a simple linear regression model: y = a + bx.
calculateStdErrorOfCoef(Instances, boolean[], double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
Returns an array of the standard errors of the coefficients in a multiple linear regression.
calculateTStats(double[], double[], int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
Returns an array of the t-statistic of each coefficient in a multiple linear regression model.
calibratorTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
call() - Method in class weka.knowledgeflow.StepTask
Executor service calls this method to do the work
CallbackNotifierDelegate - Interface in weka.knowledgeflow
Interface to something that can notify a Step that a Task submitted by ExecutionEnvironment.submitTask() has finished.
canAcceptConnection(Class<?>) - Method in class weka.gui.beans.MetaBean
Checks to see if any of the inputs to this group implements the supplied listener class
cancel() - Method in class weka.core.converters.AbstractFileSaver
Cancels the incremental saving process.
cancel() - Method in class weka.core.converters.AbstractSaver
Cancels the incremental saving process if the write mode is CANCEL.
cancel() - Method in class weka.core.converters.DatabaseSaver
Cancels the incremental saving process and tries to drop the table if the write mode is CANCEL.
CANCEL_OPTION - Static variable in class weka.gui.experiment.OutputFormatDialog
Signifies a cancelled property selection.
CANCEL_OPTION - Static variable in class weka.gui.ListSelectorDialog
Signifies a cancelled property selection
CANCEL_OPTION - Static variable in class weka.gui.PropertySelectorDialog
Signifies a cancelled property selection
CANCEL_OPTION - Static variable in class weka.gui.ViewerDialog
Signifies a cancelled property selection
canMoveDown(JList) - Static method in class weka.gui.JListHelper
checks whether the selected items can be moved down
canMoveUp(JList) - Static method in class weka.gui.JListHelper
checks whether the selected items can be moved up
Canopy - Class in weka.clusterers
Cluster data using the capopy clustering algorithm, which requires just one pass over the data.
Canopy() - Constructor for class weka.clusterers.Canopy
 
CANOPY - Static variable in class weka.clusterers.SimpleKMeans
 
canopyMaxNumCanopiesToHoldInMemoryTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
canopyMinimumCanopyDensityTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
canopyPeriodicPruningRateTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
canopyT1TipText() - Method in class weka.clusterers.SimpleKMeans
Tip text for this property
canopyT2TipText() - Method in class weka.clusterers.SimpleKMeans
Tip text for this property
canPlot(boolean) - Method in class weka.gui.explorer.AbstractPlotInstances
Returns whether all the data is available and the plot instances can be used for plotting.
canProduceRules() - Method in class weka.associations.Apriori
Returns true if this AssociationRulesProducer can actually produce rules.
canProduceRules() - Method in interface weka.associations.AssociationRulesProducer
Returns true if this AssociationRulesProducer can actually produce rules.
canProduceRules() - Method in class weka.associations.FilteredAssociator
Returns true if this AssociationRulesProducer can actually produce rules.
canProduceRules() - Method in class weka.associations.FPGrowth
Returns true if this AssociationRulesProducer can actually produce rules.
canRedo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
return whether there is something on the undo stack that can be performed
canUndo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
return whether there is something on the undo stack that can be performed
canUndo() - Method in interface weka.core.Undoable
returns whether an undo is possible, i.e.
canUndo() - Method in class weka.gui.arffviewer.ArffPanel
returns whether an undo is possible
canUndo() - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns whether an undo is possible, i.e.
canUndo() - Method in class weka.gui.arffviewer.ArffTableModel
returns whether an undo is possible, i.e.
Capabilities - Class in weka.core
A class that describes the capabilites (e.g., handling certain types of attributes, missing values, types of classes, etc.) of a specific classifier.
Capabilities(CapabilitiesHandler) - Constructor for class weka.core.Capabilities
initializes the capabilities for the given owner
capabilities() - Method in class weka.core.Capabilities
Returns an Iterator over the stored capabilities
Capabilities - Class in weka.gui.simplecli
Outputs the capabilities of the specified class.
Capabilities() - Constructor for class weka.gui.simplecli.Capabilities
 
Capabilities.Capability - Enum in weka.core
enumeration of all capabilities
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.AssociationsPanel
method gets called in case of a change event
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.AttributeSelectionPanel
method gets called in case of a change event
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.ClassifierPanel
method gets called in case of a change event.
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.ClustererPanel
method gets called in case of a change event
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in interface weka.gui.explorer.Explorer.CapabilitiesFilterChangeListener
method gets called in case of a change event
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.PreprocessPanel
method gets called in case of a change event
CapabilitiesFilterChangeEvent(Object, Capabilities) - Constructor for class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent
Constructs a GOECapabilitiesFilterChangeEvent object.
CapabilitiesFilterDialog() - Constructor for class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
creates a dialog to choose Capabilities from.
CapabilitiesHandler - Interface in weka.core
Classes implementing this interface return their capabilities in regards to datasets.
CapabilitiesIgnorer - Interface in weka.core
Classes implementing this interface make it possible to turn off capabilities checking.
CapabilitiesUtils - Class in weka.core
Helper class for Capabilities.
CapabilitiesUtils() - Constructor for class weka.core.CapabilitiesUtils
 
capacity() - Method in class weka.core.matrix.DoubleVector
Gets the capacity of the vector.
capacity() - Method in class weka.core.matrix.IntVector
Returns the capacity of the vector
cardinalityTipText() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Returns the tip text for this property
caretUpdate(CaretEvent) - Method in class weka.gui.LogWindow
Called when the caret position is updated.
caretUpdate(CaretEvent) - Method in class weka.gui.sql.ConnectionPanel
Called when the caret position is updated.
caretUpdate(CaretEvent) - Method in class weka.gui.sql.QueryPanel
Called when the caret position is updated.
CartesianProduct - Class in weka.filters.unsupervised.attribute
A filter for performing the Cartesian product of a set of nominal attributes.
CartesianProduct() - Constructor for class weka.filters.unsupervised.attribute.CartesianProduct
 
carTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
CARuleMiner - Interface in weka.associations
Interface for learning class association rules.
CaseInsensitiveComparator() - Constructor for class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator
 
CaseSensitiveComparator() - Constructor for class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator
 
cast(Object) - Static method in class weka.core.Utils
Casting an object without "unchecked" compile-time warnings.
cat(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Combine two vectors together
CategoricalPredictor - Class in weka.core.pmml.jaxbbindings
Java class for CategoricalPredictor element declaration.
CategoricalPredictor() - Constructor for class weka.core.pmml.jaxbbindings.CategoricalPredictor
 
Categories - Class in weka.core.pmml.jaxbbindings
Java class for Categories element declaration.
Categories() - Constructor for class weka.core.pmml.jaxbbindings.Categories
 
Category - Class in weka.core.pmml.jaxbbindings
Java class for Category element declaration.
Category() - Constructor for class weka.core.pmml.jaxbbindings.Category
 
CATSCORINGMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for CAT-SCORING-METHOD.
Center - Class in weka.filters.unsupervised.attribute
Centers all numeric attributes in the given dataset to have zero mean (apart from the class attribute, if set).
Center() - Constructor for class weka.filters.unsupervised.attribute.Center
 
centerDataTipText() - Method in class weka.attributeSelection.PrincipalComponents
Returns the tip text for this property
centerDataTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Returns the tip text for this property
centerHorizontal(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
center set of nodes half way between left and right most node in the list
centerInstances(Instances, int[], double) - Method in class weka.core.neighboursearch.KDTree
Assigns instances to centers using KDTree.
centerVertical(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
center set of nodes half way between top and bottom most node in the list
CfsSubsetEval - Class in weka.attributeSelection
CfsSubsetEval :

Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancy between them.

Subsets of features that are highly correlated with the class while having low intercorrelation are preferred.

For more information see:

M.
CfsSubsetEval() - Constructor for class weka.attributeSelection.CfsSubsetEval
Constructor
ChangeDateFormat - Class in weka.filters.unsupervised.attribute
Changes the date format used by a date attribute.
ChangeDateFormat() - Constructor for class weka.filters.unsupervised.attribute.ChangeDateFormat
 
changeLength(double) - Method in class weka.core.AlgVector
Changes the length of a vector.
changeUID(long, long, String, String) - Static method in class weka.core.xml.SerialUIDChanger
changes the oldUID into newUID from the given file (binary/KOML) into the other one (binary/KOML).
CharacterDelimitedTokenizer - Class in weka.core.tokenizers
Abstract superclass for tokenizers that take characters as delimiters.
CharacterDelimitedTokenizer() - Constructor for class weka.core.tokenizers.CharacterDelimitedTokenizer
 
Characteristic - Class in weka.core.pmml.jaxbbindings
Java class for Characteristic element declaration.
Characteristic() - Constructor for class weka.core.pmml.jaxbbindings.Characteristic
 
Characteristics - Class in weka.core.pmml.jaxbbindings
Java class for Characteristics element declaration.
Characteristics() - Constructor for class weka.core.pmml.jaxbbindings.Characteristics
 
CharacterNGramTokenizer - Class in weka.core.tokenizers
Splits a string into an n-gram with min and max grams.
CharacterNGramTokenizer() - Constructor for class weka.core.tokenizers.CharacterNGramTokenizer
 
charSetTipText() - Method in class weka.core.converters.TextDirectoryLoader
the tip text for this property
ChartEvent - Class in weka.gui.beans
Event encapsulating info for plotting a data point on the StripChart
ChartEvent(Object, Vector<String>, double, double, double[], boolean) - Constructor for class weka.gui.beans.ChartEvent
Creates a new ChartEvent instance.
ChartEvent(Object) - Constructor for class weka.gui.beans.ChartEvent
Creates a new ChartEvent instance.
chartingEvalWindowSizeTipText() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Return a tip text string for this property
chartingEvalWindowSizeTipText() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Return a tip text string for this property
ChartListener - Interface in weka.gui.beans
Interface to something that can process a ChartEvent
Chebychev - Class in weka.core.pmml.jaxbbindings
Java class for chebychev element declaration.
Chebychev() - Constructor for class weka.core.pmml.jaxbbindings.Chebychev
 
ChebyshevDistance - Class in weka.core
Implements the Chebyshev distance.
ChebyshevDistance() - Constructor for class weka.core.ChebyshevDistance
Constructs an Chebyshev Distance object, Instances must be still set.
ChebyshevDistance(Instances) - Constructor for class weka.core.ChebyshevDistance
Constructs an Chebyshev Distance object and automatically initializes the ranges.
check(double) - Method in class weka.classifiers.trees.j48.Distribution
Checks if at least two bags contain a minimum number of instances.
Check - Class in weka.core
Abstract general class for testing in Weka.
Check() - Constructor for class weka.core.Check
 
CheckAssociator - Class in weka.associations
Class for examining the capabilities and finding problems with associators.
CheckAssociator() - Constructor for class weka.associations.CheckAssociator
 
CheckAttributeSelection - Class in weka.attributeSelection
Class for examining the capabilities and finding problems with attribute selection schemes.
CheckAttributeSelection() - Constructor for class weka.attributeSelection.CheckAttributeSelection
 
CheckBoxList - Class in weka.gui
An extended JList that contains CheckBoxes.
CheckBoxList() - Constructor for class weka.gui.CheckBoxList
initializes the list with an empty CheckBoxListModel
CheckBoxList(CheckBoxList.CheckBoxListModel) - Constructor for class weka.gui.CheckBoxList
initializes the list with the given CheckBoxListModel
CheckBoxList.CheckBoxListModel - Class in weka.gui
A specialized model.
CheckBoxList.CheckBoxListRenderer - Class in weka.gui
A specialized CellRenderer for the CheckBoxList
CheckBoxListModel() - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
initializes the model with no data.
CheckBoxListModel(Object[]) - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
Constructs a CheckBoxListModel from an array of objects and then applies setModel to it.
CheckBoxListModel(Vector) - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
Constructs a CheckBoxListModel from a Vector and then applies setModel to it.
CheckBoxListRenderer() - Constructor for class weka.gui.CheckBoxList.CheckBoxListRenderer
 
checkCanonicalUserOptions() - Method in class weka.core.CheckOptionHandler
checks whether the user-supplied options stay the same after settting, getting and re-setting again
CheckClassifier - Class in weka.classifiers
Class for examining the capabilities and finding problems with classifiers.
CheckClassifier() - Constructor for class weka.classifiers.CheckClassifier
 
CheckClusterer - Class in weka.clusterers
Class for examining the capabilities and finding problems with clusterers.
CheckClusterer() - Constructor for class weka.clusterers.CheckClusterer
default constructor
checkConstraint(Package) - Method in class weka.core.packageManagement.PackageConstraint
Check the target package against the constraint embodied in this PackageConstraint.
checkConstraint(PackageConstraint) - Method in class weka.core.packageManagement.PackageConstraint
Check the target package constraint against the constraint embodied in this package constraint.
checkConstraint(PackageConstraint) - Method in class weka.core.packageManagement.VersionPackageConstraint
Check the target package constraint against the constraint embodied in this package constraint.
checkConstraint(Package) - Method in class weka.core.packageManagement.VersionPackageConstraint
Check the target package against the constraint embodied in this PackageConstraint.
checkConstraint(Package) - Method in class weka.core.packageManagement.VersionRangePackageConstraint
Check the target package against the constraint embodied in this PackageConstraint.
checkConstraint(PackageConstraint) - Method in class weka.core.packageManagement.VersionRangePackageConstraint
 
checkDefaultOptions() - Method in class weka.core.CheckOptionHandler
checks whether the default options can be processed completely or some invalid options are returned by the getOptions() method.
checkErrorRateTipText() - Method in class weka.classifiers.rules.JRip
Returns the tip text for this property
CheckEstimator - Class in weka.estimators
Class for examining the capabilities and finding problems with estimators.
CheckEstimator() - Constructor for class weka.estimators.CheckEstimator
 
CheckEstimator.AttrTypes - Class in weka.estimators
class that contains info about the attribute types the estimator can estimate estimator work on one attribute only
CheckEstimator.EstTypes - Class in weka.estimators
public class that contains info about the chosen attribute type estimator work on one attribute only
CheckEstimator.PostProcessor - Class in weka.estimators
a class for postprocessing the test-data
checkForAttributeType(int) - Method in class weka.core.Instances
Checks for attributes of the given type in the dataset
checkForMissingFiles(Package, File, PrintStream...) - Static method in class weka.core.WekaPackageLibIsolatingClassLoader
Checks to see if there are any missing files/directories for a given package.
checkForMissingFiles(Package, File, PrintStream...) - Static method in class weka.core.WekaPackageManager
Checks to see if there are any missing files/directories for a given package.
checkForNewPackages(PrintStream...) - Static method in class weka.core.WekaPackageManager
Check for new packages on the server and refresh the local cache if needed
checkForRemainingOptions(String[]) - Static method in class weka.core.Utils
Checks if the given array contains any non-empty options.
checkForStringAttributes() - Method in class weka.core.Instances
Checks for string attributes in the dataset
checkForThirdPartyClass(String, WekaPackageLibIsolatingClassLoader) - Static method in class weka.core.SerializationHelper
Checks to see if the supplied package class loader (or any of its dependent package class loaders) has the given third party class.
checkGlobalInfo() - Method in class weka.core.CheckGOE
checks whether the object declares a globalInfo method.
CheckGOE - Class in weka.core
Simple command line checking of classes that are editable in the GOE.
CheckGOE() - Constructor for class weka.core.CheckGOE
default constructor
checkIndicesList(MiddleOutConstructor.MyIdxList, int, int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Checks whether if the points in an index list are in some specified of the master index array.
checkInstance(Instance) - Method in class weka.core.Instances
Checks if the given instance is compatible with this dataset.
CheckKernel - Class in weka.classifiers.functions.supportVector
Class for examining the capabilities and finding problems with kernels.
CheckKernel() - Constructor for class weka.classifiers.functions.supportVector.CheckKernel
 
checkListOptions() - Method in class weka.core.CheckOptionHandler
checks whether the listOptions method works
checkModel() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Checks if generated model is valid.
checkModel(int) - Method in class weka.classifiers.trees.lmt.ResidualSplit
Checks if there are at least 2 subsets that contain >= minNumInstances.
CheckOptionHandler - Class in weka.core
Simple command line checking of classes that implement OptionHandler.
CheckOptionHandler() - Constructor for class weka.core.CheckOptionHandler
 
checkRemainingOptions() - Method in class weka.core.CheckOptionHandler
checks whether the user-supplied options can be processed completely or some "left-over" options remain
checkResettingOptions() - Method in class weka.core.CheckOptionHandler
checks whether the optionhandler can be re-setted again to default options after the user-supplied options have been set.
CheckScheme - Class in weka.core
Abstract general class for testing schemes in Weka.
CheckScheme() - Constructor for class weka.core.CheckScheme
 
CheckScheme.PostProcessor - Class in weka.core
a class for postprocessing the test-data
checkSetOptions() - Method in class weka.core.CheckOptionHandler
checks whether the user-supplied options can be processed at all
CheckSource - Class in weka.classifiers
A simple class for checking the source generated from Classifiers implementing the weka.classifiers.Sourcable interface.
CheckSource() - Constructor for class weka.classifiers.CheckSource
 
CheckSource - Class in weka.filters
A simple class for checking the source generated from Filters implementing the weka.filters.Sourcable interface.
CheckSource() - Constructor for class weka.filters.CheckSource
 
checkStatus(Object) - Method in interface weka.experiment.Compute
Check on the status of a Task
checkStatus(Object) - Method in class weka.experiment.RemoteEngine
Returns status information on a particular task
checksTurnedOffTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
checksTurnedOffTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns the tip text for this property
checkToolTips() - Method in class weka.core.CheckGOE
checks whether the object declares tip text method for all its properties.
checkWindowShouldBeClosed(WindowEvent) - Method in class weka.gui.GUIChooserApp
Asks the user whether the window that generated the window evident given as the argument should really be closed.
ChildFrameMDI(Main, String) - Constructor for class weka.gui.Main.ChildFrameMDI
constructs a new internal frame that knows about its parent.
ChildFrameSDI(GUIChooserApp, String) - Constructor for class weka.gui.GUIChooserApp.ChildFrameSDI
constructs a new internal frame that knows about its parent.
ChildFrameSDI(Main, String) - Constructor for class weka.gui.Main.ChildFrameSDI
constructs a new internal frame that knows about its parent.
ChildParent - Class in weka.core.pmml.jaxbbindings
Java class for ChildParent element declaration.
ChildParent() - Constructor for class weka.core.pmml.jaxbbindings.ChildParent
 
childrenValues() - Method in class weka.gui.HierarchyPropertyParser
The value in the children nodes.
chisqDistribution - Static variable in class weka.core.matrix.Maths
Distribution type: chi-squared
chiSquared(double[][], boolean) - Static method in class weka.core.ContingencyTables
Returns chi-squared probability for a given matrix.
chiSquaredProbability(double, double) - Static method in class weka.core.Statistics
Returns chi-squared probability for given value and degrees of freedom.
chiVal(double[][], boolean) - Static method in class weka.core.ContingencyTables
Computes chi-squared statistic for a contingency table.
chol() - Method in class weka.core.matrix.Matrix
Cholesky Decomposition
CholeskyDecomposition - Class in weka.core.matrix
Cholesky Decomposition.
CholeskyDecomposition(Matrix) - Constructor for class weka.core.matrix.CholeskyDecomposition
Cholesky algorithm for symmetric and positive definite matrix.
chooseIndex() - Method in class weka.classifiers.rules.part.ClassifierDecList
Method for choosing a subset to expand.
chooseLastIndex() - Method in class weka.classifiers.rules.part.ClassifierDecList
Choose last index (ie.
CISearchAlgorithm - Class in weka.classifiers.bayes.net.search.ci
The CISearchAlgorithm class supports Bayes net structure search algorithms that are based on conditional independence test (as opposed to for example score based of cross validation based search algorithms).
CISearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
 
CityBlock - Class in weka.core.pmml.jaxbbindings
Java class for cityBlock element declaration.
CityBlock() - Constructor for class weka.core.pmml.jaxbbindings.CityBlock
 
CLASS - Static variable in class weka.core.json.JSONInstances
the class attribute indicator.
CLASS - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
CLASS_GROOVYCLASSLOADER - Static variable in class weka.core.scripting.Groovy
the classname of the Groovy classloader.
CLASS_IS_LAST - Static variable in class weka.core.TestInstances
can be used for settting the class attribute index to last
CLASS_PYTHONINERPRETER - Static variable in class weka.core.scripting.Jython
the classname of the Python interpreter
CLASS_PYTHONOBJECTINPUTSTREAM - Static variable in class weka.core.scripting.Jython
the classname of the Python ObjectInputStream
ClassAssigner - Class in weka.filters.unsupervised.attribute
Filter that can set and unset the class index.
ClassAssigner() - Constructor for class weka.filters.unsupervised.attribute.ClassAssigner
 
ClassAssigner - Class in weka.gui.beans
Bean that assigns a class attribute to a data set.
ClassAssigner() - Constructor for class weka.gui.beans.ClassAssigner
 
ClassAssigner - Class in weka.knowledgeflow.steps
Knowledge Flow step for assigning a class attribute in incoming data
ClassAssigner() - Constructor for class weka.knowledgeflow.steps.ClassAssigner
 
ClassAssignerBeanInfo - Class in weka.gui.beans
BeanInfo class for the class assigner bean
ClassAssignerBeanInfo() - Constructor for class weka.gui.beans.ClassAssignerBeanInfo
 
ClassAssignerCustomizer - Class in weka.gui.beans
GUI customizer for the class assigner bean
ClassAssignerCustomizer() - Constructor for class weka.gui.beans.ClassAssignerCustomizer
 
ClassAssignerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the ClassAssigner step
ClassAssignerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ClassAssignerStepEditorDialog
 
classAttribute() - Method in class weka.core.AbstractInstance
Returns class attribute.
classAttribute() - Method in interface weka.core.Instance
Returns class attribute.
classAttribute() - Method in class weka.core.Instances
Returns the class attribute.
classAttributeNames() - Method in class weka.classifiers.functions.SMO
 
ClassBalancer - Class in weka.filters.supervised.instance
Reweights the instances in the data so that each class has the same total weight.
ClassBalancer() - Constructor for class weka.filters.supervised.instance.ClassBalancer
 
ClassCache - Class in weka.core
A singleton that stores all classes on the classpath.
ClassCache() - Constructor for class weka.core.ClassCache
Initializes the cache.
ClassCache.ClassFileFilter - Class in weka.core
For filtering classes.
ClassCache.DirectoryFilter - Class in weka.core
For filtering classes.
classColumnTipText() - Method in class weka.gui.beans.ClassAssigner
Tool tip text for this property
ClassConditionalProbabilities - Class in weka.filters.supervised.attribute
Converts the values of nominal and/or numeric attributes into class conditional probabilities.
ClassConditionalProbabilities() - Constructor for class weka.filters.supervised.attribute.ClassConditionalProbabilities
 
ClassDiscovery - Class in weka.core
This class is used for discovering classes that implement a certain interface or a derived from a certain class.
ClassDiscovery() - Constructor for class weka.core.ClassDiscovery
 
ClassDiscovery.StringCompare - Class in weka.core
compares two strings.
classDistributionIsPure() - Method in class weka.classifiers.trees.ht.HNode
Returns true if the class distribution is pure
ClassFileFilter() - Constructor for class weka.core.ClassCache.ClassFileFilter
 
classFirst(boolean) - Method in class weka.experiment.Experiment
Sets whether the first attribute is treated as the class for all datasets involved in the experiment.
classFlagTipText() - Method in class weka.datagenerators.ClusterGenerator
Returns the tip text for this property
ClassificationGenerator - Class in weka.datagenerators
Abstract class for data generators for classifiers.
ClassificationGenerator() - Constructor for class weka.datagenerators.ClassificationGenerator
initializes with default values
ClassificationViaRegression - Class in weka.classifiers.meta
Class for doing classification using regression methods.
ClassificationViaRegression() - Constructor for class weka.classifiers.meta.ClassificationViaRegression
Default constructor.
Classifier - Interface in weka.classifiers
Classifier interface.
Classifier - Class in weka.gui.beans
Bean that wraps around weka.classifiers
Classifier() - Constructor for class weka.gui.beans.Classifier
Creates a new Classifier instance.
Classifier - Class in weka.knowledgeflow.steps
Step that wraps a Weka classifier.
Classifier() - Constructor for class weka.knowledgeflow.steps.Classifier
 
ClassifierAttributeEval - Class in weka.attributeSelection
ClassifierAttributeEval :

Evaluates the worth of an attribute by using a user-specified classifier.

Valid options are:

ClassifierAttributeEval() - Constructor for class weka.attributeSelection.ClassifierAttributeEval
Constructor.
ClassifierBeanInfo - Class in weka.gui.beans
BeanInfo class for the Classifier wrapper bean
ClassifierBeanInfo() - Constructor for class weka.gui.beans.ClassifierBeanInfo
 
ClassifierCustomizer - Class in weka.gui.beans
GUI customizer for the classifier wrapper bean
ClassifierCustomizer() - Constructor for class weka.gui.beans.ClassifierCustomizer
 
ClassifierDecList - Class in weka.classifiers.rules.part
Class for handling a rule (partial tree) for a decision list.
ClassifierDecList(ModelSelection, int) - Constructor for class weka.classifiers.rules.part.ClassifierDecList
Constructor - just calls constructor of class DecList.
ClassifierErrorsPlotInstances - Class in weka.gui.explorer
A class for generating plottable visualization errors.
ClassifierErrorsPlotInstances() - Constructor for class weka.gui.explorer.ClassifierErrorsPlotInstances
 
ClassifierPanel - Class in weka.gui.explorer
This panel allows the user to select and configure a classifier, set the attribute of the current dataset to be used as the class, and evaluate the classifier using a number of testing modes (test on the training data, train/test on a percentage split, n-fold cross-validation, test on a separate split).
ClassifierPanel() - Constructor for class weka.gui.explorer.ClassifierPanel
Creates the classifier panel.
ClassifierPanel.TestMode - Enum in weka.gui.explorer
 
ClassifierPanelLaunchHandlerPlugin - Interface in weka.gui.explorer
Interface to plugin that can take the current state of the Classifier panel and execute it.
ClassifierPerformanceEvaluator - Class in weka.gui.beans
A bean that evaluates the performance of batch trained classifiers
ClassifierPerformanceEvaluator() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluator
 
ClassifierPerformanceEvaluator - Class in weka.knowledgeflow.steps
Step that implements batch classifier evaluation
ClassifierPerformanceEvaluator() - Constructor for class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Constructor
ClassifierPerformanceEvaluatorBeanInfo - Class in weka.gui.beans
Bean info class for the classifier performance evaluator
ClassifierPerformanceEvaluatorBeanInfo() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
 
ClassifierPerformanceEvaluatorCustomizer - Class in weka.gui.beans
GUI customizer for the classifier performance evaluator component
ClassifierPerformanceEvaluatorCustomizer() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
Constructor
ClassifierPerformanceEvaluatorStepEditorDialog - Class in weka.gui.knowledgeflow.steps
GUI step editor dialog for the ClassifierPerformanceEvaluator step
ClassifierPerformanceEvaluatorStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ClassifierPerformanceEvaluatorStepEditorDialog
Constructor
classifiers() - Method in class weka.classifiers.meta.LogitBoost
Returns the array of classifiers that have been built.
ClassifierSplitEvaluator - Class in weka.experiment
A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.
ClassifierSplitEvaluator() - Constructor for class weka.experiment.ClassifierSplitEvaluator
No args constructor.
ClassifierSplitModel - Class in weka.classifiers.trees.j48
Abstract class for classification models that can be used recursively to split the data.
ClassifierSplitModel() - Constructor for class weka.classifiers.trees.j48.ClassifierSplitModel
 
classifiersTipText() - Method in class weka.classifiers.meta.MultiScheme
Returns the tip text for this property
classifiersTipText() - Method in class weka.classifiers.MultipleClassifiersCombiner
Returns the tip text for this property
ClassifierSubsetEval - Class in weka.attributeSelection
Classifier subset evaluator:

Evaluates attribute subsets on training data or a separate hold out testing set.
ClassifierSubsetEval() - Constructor for class weka.attributeSelection.ClassifierSubsetEval
 
classifierTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns the tip text for this property
classifierTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
classifierTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns the tip text for this property
classifierTipText() - Method in class weka.classifiers.SingleClassifierEnhancer
Returns the tip text for this property
classifierTipText() - Method in class weka.experiment.ClassifierSplitEvaluator
Returns the tip text for this property
classifierTipText() - Method in class weka.experiment.RegressionSplitEvaluator
Returns the tip text for this property
classifierTipText() - Method in class weka.filters.supervised.attribute.AddClassification
Returns the tip text for this property.
classifierTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns the tip text for this property
ClassifierTree - Class in weka.classifiers.trees.j48
Class for handling a tree structure used for classification.
ClassifierTree(ModelSelection) - Constructor for class weka.classifiers.trees.j48.ClassifierTree
Constructor.
CLASSIFY_CHILD - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
Asks for another learning scheme to classify this node.
classifyInstance(Instance) - Method in class weka.classifiers.AbstractClassifier
Classifies the given test instance.
classifyInstance(Instance) - Method in interface weka.classifiers.Classifier
Classifies the given test instance.
classifyInstance(Instance) - Method in class weka.classifiers.functions.GaussianProcesses
Classifies a given instance.
classifyInstance(Instance) - Method in class weka.classifiers.functions.LinearRegression
Classifies the given instance using the linear regression function.
classifyInstance(Instance) - Method in class weka.classifiers.functions.SimpleLinearRegression
Generate a prediction for the supplied instance.
classifyInstance(Instance) - Method in class weka.classifiers.functions.SMOreg
Classifies the given instance using the linear regression function.
classifyInstance(Instance) - Method in class weka.classifiers.meta.AdditiveRegression
Classify an instance.
classifyInstance(Instance) - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns a predicted class for the test instance.
classifyInstance(Instance) - Method in class weka.classifiers.meta.Vote
Classifies the given test instance.
classifyInstance(Instance) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Classifies the given test instance.
classifyInstance(Instance) - Method in class weka.classifiers.misc.InputMappedClassifier
 
classifyInstance(Instance) - Method in class weka.classifiers.rules.OneR
Classifies a given instance.
classifyInstance(Instance) - Method in class weka.classifiers.rules.part.ClassifierDecList
Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.rules.PART
Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.rules.part.MakeDecList
Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.rules.ZeroR
Classifies a given instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Classifies a given instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.j48.ClassifierTree
Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.J48
Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.LMT
Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
Generate a prediction for the supplied instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.M5Base
Calculates a prediction for an instance using a set of rules or an M5 model tree
classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
Predicts the class of the supplied instance using the linear model.
classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.Rule
Calculates a prediction for an instance using this rule or M5 model tree
classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.RuleNode
Classify an instance using this node.
classIndex() - Method in class weka.core.AbstractInstance
Returns the class attribute's index.
classIndex() - Method in interface weka.core.Instance
Returns the class attribute's index.
classIndex() - Method in class weka.core.Instances
Returns the class attribute's index.
classIndexTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
classIndexTipText() - Method in class weka.associations.FilteredAssociator
Returns the tip text for this property
classIndexTipText() - Method in class weka.core.converters.JSONSaver
Returns the tip text for this property.
classIndexTipText() - Method in class weka.core.converters.LibSVMSaver
Returns the tip text for this property
classIndexTipText() - Method in class weka.core.converters.SVMLightSaver
Returns the tip text for this property.
classIndexTipText() - Method in class weka.core.converters.XRFFSaver
Returns the tip text for this property
classIndexTipText() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
Returns the tip text for this property.
classIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns the tip text for this property
classIsMissing() - Method in class weka.core.AbstractInstance
Tests if an instance's class is missing.
classIsMissing() - Method in interface weka.core.Instance
Tests if an instance's class is missing.
ClassLabels - Class in weka.core.pmml.jaxbbindings
Java class for ClassLabels element declaration.
ClassLabels() - Constructor for class weka.core.pmml.jaxbbindings.ClassLabels
 
ClassloaderUtil - Class in weka.core
Utility class that can add jar files to the classpath dynamically.
ClassloaderUtil() - Constructor for class weka.core.ClassloaderUtil
 
className(int) - Method in class weka.classifiers.evaluation.ConfusionMatrix
Gets the name of one of the classes.
classNameTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Returns the tip text for this property
ClassOrder - Class in weka.filters.supervised.attribute
Changes the order of the classes so that the class values are no longer of in the order specified in the header.
ClassOrder() - Constructor for class weka.filters.supervised.attribute.ClassOrder
 
classOrderTipText() - Method in class weka.filters.supervised.attribute.ClassOrder
Returns the tip text for this property
ClassPanel - Class in weka.gui.visualize
This panel displays coloured labels for nominal attributes and a spectrum for numeric attributes.
ClassPanel() - Constructor for class weka.gui.visualize.ClassPanel
 
ClassPanel(Color) - Constructor for class weka.gui.visualize.ClassPanel
 
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.BinC45Split
Gets class probability for instance.
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.C45Split
Gets class probability for instance.
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Gets class probability for instance.
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Return the probability for a class value
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.NBTreeSplit
Return the probability for a class value
classProbLaplace(int, Instance, int) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Gets class probability for instance.
ClassRunner(SimpleCLIPanel, Class<?>, String[]) - Constructor for class weka.gui.SimpleCLIPanel.ClassRunner
Sets up the class runner thread.
classValue() - Method in class weka.core.AbstractInstance
Returns an instance's class value in internal format.
classValue() - Method in interface weka.core.Instance
Returns an instance's class value as a floating-point number.
classValueIndexTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
ClassValuePicker - Class in weka.gui.beans
 
ClassValuePicker() - Constructor for class weka.gui.beans.ClassValuePicker
 
ClassValuePicker - Class in weka.knowledgeflow.steps
Step that allows the selection of the class label that is to be considered as the "positive" class when computing threshold curves.
ClassValuePicker() - Constructor for class weka.knowledgeflow.steps.ClassValuePicker
 
ClassValuePickerBeanInfo - Class in weka.gui.beans
BeanInfo class for the class value picker bean
ClassValuePickerBeanInfo() - Constructor for class weka.gui.beans.ClassValuePickerBeanInfo
 
ClassValuePickerCustomizer - Class in weka.gui.beans
 
ClassValuePickerCustomizer() - Constructor for class weka.gui.beans.ClassValuePickerCustomizer
 
ClassValuePickerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Editor dialog for the ClassValuePicker step.
ClassValuePickerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ClassValuePickerStepEditorDialog
 
clean() - Method in class weka.attributeSelection.ASEvaluation
Tells the evaluator that the attribute selection process is complete.
clean() - Method in class weka.attributeSelection.CfsSubsetEval
 
clean() - Method in class weka.attributeSelection.WrapperSubsetEval
 
clean() - Method in class weka.classifiers.functions.supportVector.CachedKernel
Frees the cache used by the kernel.
clean() - Method in class weka.classifiers.functions.supportVector.Kernel
Frees the memory used by the kernel.
clean() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
Frees the cache used by the kernel.
clean() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Frees the memory used by the kernel.
clean() - Method in class weka.classifiers.functions.supportVector.StringKernel
Frees the memory used by the kernel.
clean() - Method in interface weka.core.DistanceFunction
Free any references to training instances
clean() - Method in class weka.core.FilteredDistance
Free any references to training instances
clean() - Method in class weka.core.NormalizableDistance
 
cleanUp(Instances) - Method in class weka.classifiers.rules.JRip.RipperRule
Removes redundant tests in the rule.
cleanup(Instances) - Method in class weka.classifiers.rules.part.ClassifierDecList
Cleanup in order to save memory.
cleanUp() - Method in class weka.classifiers.rules.RuleStats
Frees up memory after classifier has been built.
cleanup() - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
Sets reference to training data to null.
cleanup() - Method in class weka.classifiers.trees.j48.C45ModelSelection
Sets reference to training data to null.
cleanup(Instances) - Method in class weka.classifiers.trees.j48.ClassifierTree
Cleanup in order to save memory.
cleanup() - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
Sets reference to training data to null.
cleanup() - Method in class weka.classifiers.trees.lmt.LogisticBase
Cleanup in order to save memory.
cleanup() - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
Method not in use
cleanUp() - Method in class weka.clusterers.Canopy
Save memory
cleanUp(String) - Static method in class weka.core.ClassCache
Fixes the classname, turns "/" and "\" into "." and removes ".class".
cleanUp() - Method in class weka.gui.explorer.AbstractPlotInstances
For freeing up memory.
cleanUp() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
For freeing up memory.
cleanUp() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
For freeing up memory.
cleanUpAfterSwitch() - Method in class weka.gui.experiment.AbstractSetupPanel
Hook method for cleaning up the interface after a switch.
cleanUpAfterSwitch() - Method in class weka.gui.experiment.SetupPanel
Hook method for cleaning up the interface after a switch.
cleanUpAfterSwitch() - Method in class weka.gui.experiment.SimpleSetupPanel
Hook method for cleaning up the interface after a switch.
clear() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Clears this hashtable so that it contains no keys.
clear() - Method in class weka.classifiers.xml.XMLClassifier
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.core.neighboursearch.covertrees.Stack
Removes all the elements from the stack.
clear() - Method in class weka.core.ProtectedProperties
Overrides a method to prevent the properties from being modified.
clear() - Method in class weka.core.Stopwords
removes all stopwords
clear() - Method in class weka.core.Tee
removes all streams and places the default printstream, if any, again in the list.
clear() - Method in class weka.core.Trie
Removes all of the elements from this collection
clear() - Method in class weka.core.xml.MethodHandler
removes all mappings
clear() - Method in class weka.core.xml.XMLBasicSerialization
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.core.xml.XMLDocument
sets up an empty DOM document, with the current DOCTYPE and root node.
clear() - Method in class weka.core.xml.XMLSerialization
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.core.xml.XMLSerializationMethodHandler
removes all current methods and adds the methods according to the
clear() - Method in class weka.experiment.ResultMatrix
removes the stored data and the ordering, but retains the dimensions of the matrix.
clear() - Method in class weka.experiment.ResultMatrixCSV
removes the stored data but retains the dimensions of the matrix.
clear() - Method in class weka.experiment.ResultMatrixGnuPlot
removes the stored data but retains the dimensions of the matrix.
clear() - Method in class weka.experiment.ResultMatrixLatex
removes the stored data but retains the dimensions of the matrix.
clear() - Method in class weka.experiment.xml.XMLExperiment
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.gui.beans.xml.XMLBeans
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.gui.GenericObjectEditorHistory
Clears the history.
clear() - Method in class weka.gui.LogWindow
clears the output
clear() - Method in class weka.gui.sql.ConnectionPanel
sets the parameters back to standard.
clear() - Method in class weka.gui.sql.InfoPanel
clears the content of the panel
clear() - Method in class weka.gui.sql.QueryPanel
clears the textarea.
clear() - Method in class weka.gui.sql.ResultPanel
sets the parameters back to standard
clear() - Method in class weka.gui.sql.SqlViewer
calls the clear method of all sub-panels to set back to default values and free up memory.
clearAllConnections() - Method in class weka.knowledgeflow.StepManagerImpl
Clear all connections to/from the step managed by this manager.
clearAllStepOutputListeners() - Method in class weka.knowledgeflow.StepManagerImpl
Clear all registered StepOutputListeners
clearAttributeSpecs() - Method in class weka.filters.unsupervised.attribute.AddUserFields
Clear the list of attribute specifications
clearCache() - Static method in class weka.core.ClassDiscovery
clears the cache for class/classnames queries.
clearClassCache() - Static method in class weka.core.ClassDiscovery
Calls clearCache() and resets the cache of classes on the classpath (i.e.
clearDesignPaletteSelection() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Clear the current selection in the design palette
clearHeader() - Method in class weka.experiment.ResultMatrix
removes all the header information.
clearLayout() - Method in class weka.gui.beans.KnowledgeFlowApp
 
clearPayload() - Method in class weka.knowledgeflow.Data
Clear all payload elements from this Data object
clearPlotData() - Method in class weka.knowledgeflow.steps.DataVisualizer
 
clearPlotData() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Clear all plot data (both onscreen and offscreen)
clearRanking() - Method in class weka.experiment.ResultMatrix
clears the currently stored ranking data.
clearRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Draw a filled rectangle with the background color.
clearResultData() - Method in class weka.knowledgeflow.JobEnvironment
 
clearResults() - Method in class weka.gui.ResultHistoryPanel
Removes all of the result buffers from the history.
clearSearch() - Method in class weka.gui.arffviewer.ArffPanel
clears the search, i.e.
clearSearch() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
clears the search, i.e.
clearStatus() - Method in class weka.gui.beans.LogPanel
Clear the status area.
clearStepOutputListeners(String) - Method in class weka.knowledgeflow.StepManagerImpl
Clear all the StepOutputListeners that are registered to receive the supplied connection type.
clearStepProperties() - Method in class weka.knowledgeflow.JobEnvironment
Clear all step properties
clearSummary() - Method in class weka.experiment.ResultMatrix
clears the current summary data.
clearUndo() - Method in interface weka.core.Undoable
removes the undo history
clearUndo() - Method in class weka.gui.arffviewer.ArffPanel
removes the undo history
clearUndo() - Method in class weka.gui.arffviewer.ArffSortedTableModel
removes the undo history
clearUndo() - Method in class weka.gui.arffviewer.ArffTableModel
removes the undo history
clearUndoStack() - Method in class weka.classifiers.bayes.net.EditableBayesNet
remove all actions from the undo stack
clip(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
 
clipRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
Clock() - Constructor for class weka.core.Debug.Clock
automatically starts the clock with FORMAT_SECONDS format and CPU time if available
Clock(int) - Constructor for class weka.core.Debug.Clock
automatically starts the clock with the given output format and CPU time if available
Clock(boolean) - Constructor for class weka.core.Debug.Clock
starts the clock depending on start immediately with the FORMAT_SECONDS output format and CPU time if available
Clock(boolean, int) - Constructor for class weka.core.Debug.Clock
starts the clock depending on start immediately, using CPU time if available
clone() - Method in class weka.classifiers.evaluation.ConfusionMatrix
Creates and returns a clone of this object.
clone() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Allows to clone a model (shallow copy).
clone() - Method in class weka.classifiers.trees.j48.Distribution
Clones distribution (Deep copy of distribution).
clone() - Method in class weka.core.AlgVector
Creates and returns a clone of this object.
clone() - Method in class weka.core.Capabilities
Creates and returns a copy of this object.
clone() - Method in class weka.core.Matrix
Deprecated.
Creates and returns a clone of this object.
clone() - Method in class weka.core.matrix.DoubleVector
Clones the DoubleVector object.
clone() - Method in class weka.core.matrix.IntVector
Clones the IntVector object.
clone() - Method in class weka.core.matrix.Matrix
Clone the Matrix object.
clone() - Method in class weka.core.packageManagement.DefaultPackage
Clone this package.
clone() - Method in class weka.core.packageManagement.Package
 
clone() - Method in class weka.core.PropertyPath.PathElement
returns a clone of the current object
clone() - Method in class weka.core.TestInstances
creates a clone of the current object
clone() - Method in class weka.core.Trie
returns a deep copy of itself
clone() - Method in class weka.core.Trie.TrieNode
creates a deep copy of itself
clone(Estimator) - Static method in class weka.estimators.Estimator
Creates a deep copy of the given estimator using serialization.
close(ResultSet) - Method in class weka.experiment.DatabaseUtils
closes the ResultSet and the statement that generated the ResultSet to avoid memory leaks in JDBC drivers - in contrast to the JDBC specs, a lot of JDBC drives don't clean up correctly.
close() - Method in class weka.experiment.DatabaseUtils
closes the m_PreparedStatement to avoid memory leaks.
close() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
closes the window, i.e., if the parent is not null and implements the WindowListener interface it calls the windowClosing method
close() - Method in class weka.gui.LogWindow
closes the frame
CloseableTabTitle - Class in weka.gui
Tab title widget that allows the user to click a little cross in order to close the tab
CloseableTabTitle(JTabbedPane, String, CloseableTabTitle.ClosingCallback) - Constructor for class weka.gui.CloseableTabTitle
Constructor.
CloseableTabTitle.ClosingCallback - Interface in weka.gui
Interface for a callback for notification of a tab's close widget being clicked
closeAllFiles() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
closes all open files
closeAllTabs() - Method in class weka.gui.beans.KnowledgeFlowApp
 
closeAllTabs() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Close all the open tabs
closeFile() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
closes the current tab
closeFile(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
closes the current tab
closeFrame() - Method in class weka.gui.SetInstancesPanel
closes the frame, i.e., the visibility is set to false.
closePressed() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Called when the close button is pressed.
closePressed() - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
Called when the viewer's window is closed
closePressed() - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
Called when the close button is pressed
closePressed() - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
Called when the close button is pressed
closestPoint(Instance, Instances, int[]) - Method in class weka.core.EuclideanDistance
Returns the index of the closest point to the current instance.
closeToDefaultTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
closeToTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
closeToToleranceTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
closing() - Method in interface weka.gui.knowledgeflow.StepEditorDialog.ClosingListener
 
closingCancel() - Method in interface weka.gui.beans.GOECustomizer
Gets called when the customizer is closing under a CANCEL condition
closingCancel() - Method in class weka.gui.filters.AddUserFieldsCustomizer
Actions to perform when the user has closed the dialog with the Cancel button
closingCancel() - Method in class weka.gui.PropertySheetPanel
Pass on a CANCEL closing notificiation to the customizer (if one is in use).
closingOK() - Method in interface weka.gui.beans.GOECustomizer
Gets called when the customizer is closing under an OK condition
closingOK() - Method in class weka.gui.filters.AddUserFieldsCustomizer
Actions to perform when the user has closed the dialog with the OK button.
closingOK() - Method in class weka.gui.PropertySheetPanel
Pass on an OK closing notification to the customizer (if one is in use)
Cls - Class in weka.gui.simplecli
Clears the output area.
Cls() - Constructor for class weka.gui.simplecli.Cls
 
Cluster - Class in weka.core.pmml.jaxbbindings
Java class for Cluster element declaration.
Cluster() - Constructor for class weka.core.pmml.jaxbbindings.Cluster
 
ClusterDefinition - Class in weka.datagenerators
Ancestor to all ClusterDefinitions, i.e., subclasses that handle their own parameters that the cluster generator only passes on.
ClusterDefinition() - Constructor for class weka.datagenerators.ClusterDefinition
initializes the cluster, without a parent cluster (necessary for GOE)
ClusterDefinition(ClusterGenerator) - Constructor for class weka.datagenerators.ClusterDefinition
initializes the cluster by setting the parent and the defaults
clusterDefinitionsTipText() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Returns the tip text for this property
Clusterer - Interface in weka.clusterers
Interface for clusterers.
Clusterer - Class in weka.gui.beans
Bean that wraps around weka.clusterers
Clusterer() - Constructor for class weka.gui.beans.Clusterer
Creates a new Clusterer instance.
Clusterer - Class in weka.knowledgeflow.steps
Step that wraps a Weka clusterer.
Clusterer() - Constructor for class weka.knowledgeflow.steps.Clusterer
 
ClustererAssignmentsPlotInstances - Class in weka.gui.explorer
A class for generating plottable cluster assignments.
ClustererAssignmentsPlotInstances() - Constructor for class weka.gui.explorer.ClustererAssignmentsPlotInstances
 
ClustererBeanInfo - Class in weka.gui.beans
BeanInfo class for the Clusterer wrapper bean
ClustererBeanInfo() - Constructor for class weka.gui.beans.ClustererBeanInfo
 
ClustererCustomizer - Class in weka.gui.beans
GUI customizer for the Clusterer wrapper bean
ClustererCustomizer() - Constructor for class weka.gui.beans.ClustererCustomizer
 
ClustererPanel - Class in weka.gui.explorer
This panel allows the user to select and configure a clusterer, and evaluate the clusterer using a number of testing modes (test on the training data, train/test on a percentage split, test on a separate split).
ClustererPanel() - Constructor for class weka.gui.explorer.ClustererPanel
Creates the clusterer panel
ClustererPanel.TestMode - Enum in weka.gui.explorer
 
ClustererPanelLaunchHandlerPlugin - Interface in weka.gui.explorer
Interface to plugin that can take the current state of the Clusterer panel and execute it.
ClustererPerformanceEvaluator - Class in weka.gui.beans
A bean that evaluates the performance of batch trained clusterers
ClustererPerformanceEvaluator() - Constructor for class weka.gui.beans.ClustererPerformanceEvaluator
 
ClustererPerformanceEvaluator - Class in weka.knowledgeflow.steps
A step that evaluates the performance of batch trained clusterers
ClustererPerformanceEvaluator() - Constructor for class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
 
ClustererPerformanceEvaluatorBeanInfo - Class in weka.gui.beans
Bean info class for the clusterer performance evaluator
ClustererPerformanceEvaluatorBeanInfo() - Constructor for class weka.gui.beans.ClustererPerformanceEvaluatorBeanInfo
 
clustererTipText() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns the tip text for this property
clustererTipText() - Method in class weka.clusterers.SingleClustererEnhancer
Returns the tip text for this property
clustererTipText() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns the tip text for this property
clustererTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster
Returns the tip text for this property.
ClusterEvaluation - Class in weka.clusterers
Class for evaluating clustering models.
ClusterEvaluation() - Constructor for class weka.clusterers.ClusterEvaluation
Constructor.
ClusterGenerator - Class in weka.datagenerators
Abstract class for cluster data generators.
ClusterGenerator() - Constructor for class weka.datagenerators.ClusterGenerator
initializes the generator
ClusteringField - Class in weka.core.pmml.jaxbbindings
Java class for ClusteringField element declaration.
ClusteringField() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringField
 
ClusteringModel - Class in weka.core.pmml.jaxbbindings
Java class for ClusteringModel element declaration.
ClusteringModel() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringModel
 
ClusteringModelQuality - Class in weka.core.pmml.jaxbbindings
Java class for ClusteringModelQuality element declaration.
ClusteringModelQuality() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringModelQuality
 
clusterInstance(Instance) - Method in class weka.clusterers.AbstractClusterer
Classifies a given instance.
clusterInstance(Instance) - Method in interface weka.clusterers.Clusterer
Classifies a given instance.
clusterInstance(Instance) - Method in class weka.clusterers.Cobweb
Classifies a given instance.
clusterInstance(Instance) - Method in class weka.clusterers.FarthestFirst
Classifies a given instance.
clusterInstance(Instance) - Method in class weka.clusterers.HierarchicalClusterer
 
clusterInstance(Instance) - Method in class weka.clusterers.SimpleKMeans
Classifies a given instance.
ClusterMembership - Class in weka.filters.unsupervised.attribute
A filter that uses a density-based clusterer to generate cluster membership values; filtered instances are composed of these values plus the class attribute (if set in the input data).
ClusterMembership() - Constructor for class weka.filters.unsupervised.attribute.ClusterMembership
 
clusterPriors() - Method in class weka.clusterers.AbstractDensityBasedClusterer
Returns the prior probability of each cluster.
clusterPriors() - Method in interface weka.clusterers.DensityBasedClusterer
Returns the prior probability of each cluster.
clusterPriors() - Method in class weka.clusterers.EM
Returns the cluster priors.
clusterPriors() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns the cluster priors.
clusterResultsToString() - Method in class weka.clusterers.ClusterEvaluation
return the results of clustering.
clusterSubTypeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns the tip text for this property
clusterTypeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns the tip text for this property
CNode(int) - Constructor for class weka.clusterers.Cobweb.CNode
Creates an empty CNode instance.
CNode(int, Instance) - Constructor for class weka.clusterers.Cobweb.CNode
Creates a new leaf CNode instance.
Cobweb - Class in weka.clusterers
Class implementing the Cobweb and Classit clustering algorithms.

Note: the application of node operators (merging, splitting etc.) in terms of ordering and priority differs (and is somewhat ambiguous) between the original Cobweb and Classit papers.
Cobweb() - Constructor for class weka.clusterers.Cobweb
default constructor
Cobweb.CNode - Class in weka.clusterers
Inner class handling node operations for Cobweb.
cochransCriterion(double[][]) - Static method in class weka.core.ContingencyTables
Tests if Cochran's criterion is fullfilled for the given contingency table.
codingCost() - Method in class weka.classifiers.trees.j48.C45Split
Returns coding cost for split (used in rule learner).
codingCost() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Returns coding costs of model.
Coefficient - Class in weka.core.pmml.jaxbbindings
Java class for Coefficient element declaration.
Coefficient() - Constructor for class weka.core.pmml.jaxbbindings.Coefficient
 
coefficients() - Method in class weka.classifiers.functions.LinearRegression
Returns the coefficients for this linear model.
coefficients() - Method in class weka.classifiers.functions.Logistic
Returns the coefficients for this logistic model.
coefficients() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
Return the array of coefficients
Coefficients - Class in weka.core.pmml.jaxbbindings
Java class for Coefficients element declaration.
Coefficients() - Constructor for class weka.core.pmml.jaxbbindings.Coefficients
 
collapse() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
Collapses a tree to a node if training error doesn't increase.
collapseTreeTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
colNameWidthTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
COLON - Static variable in interface weka.core.json.sym
 
COLOR_STDERR - Static variable in class weka.gui.LogWindow
the Color of the style for stderr
COLOR_STDOUT - Static variable in class weka.gui.LogWindow
the color of the style for stdout
ColorEditor - Class in weka.gui
A property editor for colors that uses JColorChooser as the underlying editor.
ColorEditor() - Constructor for class weka.gui.ColorEditor
 
Colors - Class in weka.gui.treevisualizer
This class maintains a list that contains all the colornames from the dotty standard and what color (in RGB) they represent
Colors() - Constructor for class weka.gui.treevisualizer.Colors
 
combinationRuleTipText() - Method in class weka.classifiers.meta.Vote
Returns the tip text for this property
combinedDL(double, double) - Method in class weka.classifiers.rules.RuleStats
Compute the combined DL of the ruleset in this class, i.e.
combSort11(double[], int[]) - Static method in class weka.core.neighboursearch.NearestNeighbourSearch
sorts the two given arrays.
COMMA - Static variable in interface weka.core.expressionlanguage.parser.sym
 
COMMA - Static variable in interface weka.core.json.sym
 
CommandlineCompletion() - Constructor for class weka.gui.SimpleCLIPanel.CommandlineCompletion
default constructor.
CommandlineRunnable - Interface in weka.core
Interface to something that can be run from the command line.
compactify() - Method in class weka.core.Instances
Compactifies the set of instances.
compare(String, String) - Method in class weka.core.ClassDiscovery.StringCompare
Compares its two arguments for order.
compare(Instance, Instance) - Method in class weka.core.InstanceComparator
compares the two instances, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
compare(String, String) - Static method in class weka.core.packageManagement.VersionPackageConstraint
Returns a VersionComparison that represents the comparison between the supplied version 1 and version 2.
compare(String, String) - Method in class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator
compares the two strings, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
compare(String, String) - Method in class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator
compares the two strings, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
compare(Sorter.InstanceHolder, Sorter.InstanceHolder) - Method in class weka.knowledgeflow.steps.Sorter.SortRule
Compare two instances according to the rule
COMPAREFUNCTION - Enum in weka.core.pmml.jaxbbindings
Java class for COMPARE-FUNCTION.
compareTo(AssociationRule) - Method in class weka.associations.AssociationRule
Compare this rule to the supplied rule.
compareTo(Item) - Method in class weka.associations.Item
Ensures that items will be sorted in descending order of frequency.
compareTo(SplitCandidate) - Method in class weka.classifiers.trees.ht.SplitCandidate
 
compareTo(AttributeLocator) - Method in class weka.core.AttributeLocator
Compares this object with the specified object for order.
compareTo(String) - Method in class weka.core.Version
checks the version of this class against the given version-string
compareTo(AbstractSetupPanel) - Method in class weka.gui.experiment.AbstractSetupPanel
Uses the name for comparison.
compareTo(AbstractCommand) - Method in class weka.gui.simplecli.AbstractCommand
Performs comparison just on the name.
compareTo(SortedTableModel.SortContainer) - Method in class weka.gui.SortedTableModel.SortContainer
Compares this object with the specified object for order.
ComparisonMeasure - Class in weka.core.pmml.jaxbbindings
Java class for ComparisonMeasure element declaration.
ComparisonMeasure() - Constructor for class weka.core.pmml.jaxbbindings.ComparisonMeasure
 
Comparisons - Class in weka.core.pmml.jaxbbindings
Java class for Comparisons element declaration.
Comparisons() - Constructor for class weka.core.pmml.jaxbbindings.Comparisons
 
ComponentHelper - Class in weka.gui
A helper class for some common tasks with Dialogs, Icons, etc.
ComponentHelper() - Constructor for class weka.gui.ComponentHelper
 
componentHidden(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
 
componentMoved(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
 
componentResized(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
 
componentShown(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
 
CompoundPredicate - Class in weka.core.pmml.jaxbbindings
Java class for CompoundPredicate element declaration.
CompoundPredicate() - Constructor for class weka.core.pmml.jaxbbindings.CompoundPredicate
 
CompoundRule - Class in weka.core.pmml.jaxbbindings
Java class for CompoundRule element declaration.
CompoundRule() - Constructor for class weka.core.pmml.jaxbbindings.CompoundRule
 
compressOutputTipText() - Method in class weka.core.converters.ArffSaver
Returns the tip text for this property
compressOutputTipText() - Method in class weka.core.converters.JSONSaver
Returns the tip text for this property.
compressOutputTipText() - Method in class weka.core.converters.XRFFSaver
Returns the tip text for this property
Compute - Interface in weka.experiment
Interface to something that can accept remote connections and execute a task.
computeAttributeImportanceTipText() - Method in class weka.classifiers.trees.RandomForest
Returns the tip text for this property
computeAverageImpurityDecreasePerAttribute(double[]) - Method in class weka.classifiers.trees.RandomForest
Computes the average impurity decrease per attribute over the trees
computeMinMaxAtts() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set up the bounds of our graphic based by finding the smallest reasonable area in the instance space to surround our data points.
Con1 - Class in weka.core.pmml.jaxbbindings
Java class for Con element declaration.
Con1() - Constructor for class weka.core.pmml.jaxbbindings.Con1
 
CON_AUX_DATA_BATCH_ASSOCIATION_RULES - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_CHART_DATA_POINT - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_CHART_LEGEND - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_CHART_MAX - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_CHART_MIN - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_CLASS_ATTRIBUTE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_ENVIRONMENT_PROPERTIES - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_ENVIRONMENT_RESULTS - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_ENVIRONMENT_VARIABLES - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_GRAPH_TITLE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_GRAPH_TYPE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_INCREMENTAL_STREAM_END - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_INSTANCE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_IS_INCREMENTAL - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_LABEL - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_MAX_SET_NUM - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_PRIMARY_PAYLOAD_NOT_THREAD_SAFE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_SET_NUM - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_TEST_INSTANCE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_TESTSET - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_TEXT_TITLE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_AUX_DATA_TRAININGSET - Static variable in interface weka.knowledgeflow.StepManager
 
CON_BATCH_ASSOCIATOR - Static variable in interface weka.knowledgeflow.StepManager
 
CON_BATCH_CLASSIFIER - Static variable in interface weka.knowledgeflow.StepManager
 
CON_BATCH_CLUSTERER - Static variable in interface weka.knowledgeflow.StepManager
 
CON_CHART - Static variable in interface weka.knowledgeflow.StepManager
 
CON_DATASET - Static variable in interface weka.knowledgeflow.StepManager
 
CON_ENVIRONMENT - Static variable in interface weka.knowledgeflow.StepManager
 
CON_GRAPH - Static variable in interface weka.knowledgeflow.StepManager
 
CON_IMAGE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_INCREMENTAL_CLASSIFIER - Static variable in interface weka.knowledgeflow.StepManager
 
CON_INCREMENTAL_CLUSTERER - Static variable in interface weka.knowledgeflow.StepManager
 
CON_INFO - Static variable in interface weka.knowledgeflow.StepManager
 
CON_INSTANCE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_JOB_FAILURE - Static variable in interface weka.knowledgeflow.StepManager
 
CON_JOB_SUCCESS - Static variable in interface weka.knowledgeflow.StepManager
 
CON_TESTSET - Static variable in interface weka.knowledgeflow.StepManager
 
CON_TEXT - Static variable in interface weka.knowledgeflow.StepManager
 
CON_THRESHOLD_DATA - Static variable in interface weka.knowledgeflow.StepManager
 
CON_TRAININGSET - Static variable in interface weka.knowledgeflow.StepManager
 
CON_VISUALIZABLE_ERROR - Static variable in interface weka.knowledgeflow.StepManager
 
cond() - Method in class weka.core.matrix.Matrix
Matrix condition (2 norm)
cond() - Method in class weka.core.matrix.SingularValueDecomposition
Two norm condition number
ConditionalDensityEstimator - Interface in weka.classifiers
Interface for numeric prediction schemes that can output conditional density estimates.
ConditionalEstimator - Interface in weka.estimators
Interface for conditional probability estimators.
ConditionalSufficientStats - Class in weka.classifiers.trees.ht
Records sufficient stats for an attribute
ConditionalSufficientStats() - Constructor for class weka.classifiers.trees.ht.ConditionalSufficientStats
 
conditionForBranch(String) - Method in class weka.classifiers.trees.ht.Split
Returns the condition for the supplied branch name
conditionForBranch(String) - Method in class weka.classifiers.trees.ht.UnivariateNominalMultiwaySplit
 
conditionForBranch(String) - Method in class weka.classifiers.trees.ht.UnivariateNumericBinarySplit
 
confidenceFactorTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
confidenceFactorTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
confidenceForRule(AprioriItemSet, AprioriItemSet) - Static method in class weka.associations.AprioriItemSet
Outputs the confidence for a rule.
CONFIG - Static variable in class weka.core.Debug
the log level Vonfig
ConfigurationEvent - Class in weka.gui.beans
Matching event for ConfigurationListener.
ConfigurationEvent(Object) - Constructor for class weka.gui.beans.ConfigurationEvent
 
ConfigurationListener - Interface in weka.gui.beans
Matching listener for ConfigurationEvent.
ConfigurationProducer - Interface in weka.gui.beans
Marker interface for components that can share their configuration.
configureRangeFromRangeStringOrAttributeNameList(Instances, String) - Static method in class weka.core.Utils
Returns a configured Range object given a 1-based range index string (such as 1-20,35,last) or a comma-separated list of attribute names.
ConfusionMatrix - Class in weka.classifiers.evaluation
Cells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.
confusionMatrix() - Method in class weka.classifiers.Evaluation
Returns a copy of the confusion matrix.
ConfusionMatrix(String[]) - Constructor for class weka.classifiers.evaluation.ConfusionMatrix
Creates the confusion matrix with the given class names.
confusionMatrix() - Method in class weka.classifiers.evaluation.Evaluation
Returns a copy of the confusion matrix.
ConfusionMatrix - Class in weka.core.pmml.jaxbbindings
Java class for ConfusionMatrix element declaration.
ConfusionMatrix() - Constructor for class weka.core.pmml.jaxbbindings.ConfusionMatrix
 
ConjugateGradientOptimization - Class in weka.core
This subclass of Optimization.java implements conjugate gradient descent rather than BFGS updates, by overriding findArgmin(), with the same tests for convergence, and applies the same line search code.
ConjugateGradientOptimization() - Constructor for class weka.core.ConjugateGradientOptimization
Constructor that sets MAXITS to 2000 by default and the parameter in the second weak Wolfe condition to 0.1.
connect(NeuralConnection, NeuralConnection) - Static method in class weka.classifiers.functions.neural.NeuralConnection
Connects two units together.
CONNECT - Static variable in class weka.gui.sql.event.ConnectionEvent
it was a connect try
CONNECTED - Static variable in class weka.classifiers.functions.neural.NeuralConnection
This flag is set once the unit has a connection.
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractDataSink
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.AbstractDataSink
Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(String) - Method in class weka.gui.beans.AbstractEvaluator
Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractEvaluator
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.AbstractTestSetProducer
Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTestSetProducer
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.AbstractTrainingSetProducer
Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTrainingSetProducer
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Appender
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.Appender
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.Associator
Returns true if, at this time, the object will accept a connection with respect to the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Associator
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in interface weka.gui.beans.BeanCommon
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in interface weka.gui.beans.BeanCommon
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.ClassAssigner
Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ClassAssigner
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.Classifier
Returns true if, at this time, the object will accept a connection with respect to the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Classifier
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.ClassValuePicker
Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ClassValuePicker
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.Clusterer
Returns true if, at this time, the object will accept a connection with respect to the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Clusterer
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.CostBenefitAnalysis
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.CostBenefitAnalysis
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.DataVisualizer
Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.DataVisualizer
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.Filter
Returns true if, at this time, the object will accept a connection with respect to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Filter
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.FlowByExpression
 
connectionAllowed(String) - Method in class weka.gui.beans.FlowByExpression
 
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ImageSaver
 
connectionAllowed(String) - Method in class weka.gui.beans.ImageSaver
 
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ImageViewer
 
connectionAllowed(String) - Method in class weka.gui.beans.ImageViewer
 
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Returns true if, at this time, the object will accept a connection with respect to the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Join
Returns true if the named connection can be made at this time
connectionAllowed(String) - Method in class weka.gui.beans.Join
Returns true if the named connection can be made at this time
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Loader
Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor.
connectionAllowed(String) - Method in class weka.gui.beans.Loader
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.MetaBean
Returns true if, at this time, the object will accept a connection with respect to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.MetaBean
 
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ModelPerformanceChart
Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.ModelPerformanceChart
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.PredictionAppender
Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.PredictionAppender
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SerializedModelSaver
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor.
connectionAllowed(String) - Method in class weka.gui.beans.SerializedModelSaver
Returns true if, at this time, the object will accept a connection according to the supplied event name.
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Sorter
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.Sorter
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.StripChart
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.StripChart
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SubstringLabeler
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.SubstringLabeler
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SubstringReplacer
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.SubstringReplacer
Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.TextSaver
 
connectionAllowed(String) - Method in class weka.gui.beans.TextSaver
 
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.TextViewer
Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.TextViewer
Returns true if, at this time, the object will accept a connection via the named event
connectionChange(ConnectionEvent) - Method in interface weka.gui.sql.event.ConnectionListener
This method gets called when the connection is either established or disconnected.
connectionChange(ConnectionEvent) - Method in class weka.gui.sql.QueryPanel
This method gets called when the connection is either established or disconnected.
connectionChange(ConnectionEvent) - Method in class weka.gui.sql.SqlViewer
This method gets called when the connection is either established or disconnected.
ConnectionEvent - Class in weka.gui.sql.event
An event that is generated when a connection is established or dropped.
ConnectionEvent(Object, int, DbUtils) - Constructor for class weka.gui.sql.event.ConnectionEvent
constructs the event
ConnectionEvent(Object, int, DbUtils, Exception) - Constructor for class weka.gui.sql.event.ConnectionEvent
constructs the event
ConnectionListener - Interface in weka.gui.sql.event
A listener for connect/disconnect events.
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractDataSink
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractEvaluator
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTestSetProducer
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainingSetProducer
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.Appender
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.Associator
Notify this object that it has been registered as a listener with a source with respect to the named event
connectionNotification(String, Object) - Method in interface weka.gui.beans.BeanCommon
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.ClassAssigner
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.Classifier
Notify this object that it has been registered as a listener with a source with respect to the named event
connectionNotification(String, Object) - Method in class weka.gui.beans.ClassValuePicker
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.Clusterer
Notify this object that it has been registered as a listener with a source with respect to the named event
connectionNotification(String, Object) - Method in interface weka.gui.beans.ConnectionNotificationConsumer
Notify this object that it has been registered as a listener with a source with respect to the supplied event name.
connectionNotification(String, Object) - Method in class weka.gui.beans.CostBenefitAnalysis
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.CrossValidationFoldMaker
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.DataVisualizer
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.Filter
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.FlowByExpression
 
connectionNotification(String, Object) - Method in class weka.gui.beans.ImageSaver
 
connectionNotification(String, Object) - Method in class weka.gui.beans.ImageViewer
 
connectionNotification(String, Object) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Notify this object that it has been registered as a listener with a source with respect to the named event
connectionNotification(String, Object) - Method in class weka.gui.beans.Join
Deals with a new connection
connectionNotification(String, Object) - Method in class weka.gui.beans.Loader
Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.MetaBean
Notify this object that it has been registered as a listener with a source with respect to the named event.
connectionNotification(String, Object) - Method in class weka.gui.beans.ModelPerformanceChart
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.PredictionAppender
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.SerializedModelSaver
Notify this object that it has been registered as a listener with a source with respect to the supplied event name.
connectionNotification(String, Object) - Method in class weka.gui.beans.Sorter
Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.StripChart
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.SubstringLabeler
Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.SubstringReplacer
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.TextSaver
 
connectionNotification(String, Object) - Method in class weka.gui.beans.TextViewer
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.TrainTestSplitMaker
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
ConnectionNotificationConsumer - Interface in weka.gui.beans
Interface for Beans that can receive (dis-)connection events generated when (dis-)connecting data processing nodes in the Weka KnowledgeFlow.
ConnectionPanel - Class in weka.gui.sql
Enables the user to insert a database URL, plus user/password to connect to this database.
ConnectionPanel(JFrame) - Constructor for class weka.gui.sql.ConnectionPanel
initializes the panel.
CONNECTIONS - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
connectSteps(StepManagerImpl, StepManagerImpl, String) - Method in class weka.gui.knowledgeflow.VisibleLayout
Connect the supplied source step to the supplied target step using the specified connection type
connectSteps(StepManagerImpl, StepManagerImpl, String) - Method in class weka.knowledgeflow.Flow
Connect the supplied source and target steps using the given connectionType.
connectSteps(StepManagerImpl, StepManagerImpl, String, boolean) - Method in class weka.knowledgeflow.Flow
Connect the supplied source and target steps using the given connectionType.
connectToDatabase() - Method in class weka.core.converters.DatabaseLoader
Opens a connection to the database
connectToDatabase() - Method in class weka.core.converters.DatabaseSaver
Opens a connection to the database.
connectToDatabase() - Method in class weka.experiment.DatabaseUtils
Opens a connection to the database.
ConsequentSequence - Class in weka.core.pmml.jaxbbindings
Java class for ConsequentSequence element declaration.
ConsequentSequence() - Constructor for class weka.core.pmml.jaxbbindings.ConsequentSequence
 
conservativeForwardSelectionTipText() - Method in class weka.attributeSelection.GreedyStepwise
Returns the tip text for this property
ConsoleLogger - Class in weka.core.logging
A simple logger that outputs the logging information in the console.
ConsoleLogger() - Constructor for class weka.core.logging.ConsoleLogger
 
CONST - Static variable in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Constant for Gaussian density.
CONST - Static variable in class weka.estimators.UnivariateKernelEstimator
Constant for Gaussian density.
CONST - Static variable in class weka.estimators.UnivariateNormalEstimator
Constant for Gaussian density
CONST_AUTOMATIC_SHAPE - Static variable in class weka.gui.visualize.Plot2D
 
CONSTANT - Static variable in class weka.classifiers.lazy.LWL
 
Constant - Class in weka.core.pmml
Class encapsulating a Constant Expression.
Constant(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.Constant
Construct an new Constant Expression.
Constant - Class in weka.core.pmml.jaxbbindings
Java class for Constant element declaration.
Constant() - Constructor for class weka.core.pmml.jaxbbindings.Constant
 
Constraints - Class in weka.core.pmml.jaxbbindings
Java class for Constraints element declaration.
Constraints() - Constructor for class weka.core.pmml.jaxbbindings.Constraints
 
constructMappedInstance(Instance) - Method in class weka.classifiers.misc.InputMappedClassifier
 
constructWithCopy(double[][]) - Static method in class weka.core.matrix.Matrix
Construct a matrix from a copy of a 2-D array.
containChildBallsTipText() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the tip text for this property.
containedBy(Instance) - Method in class weka.associations.ItemSet
Checks if an instance contains an item set.
containedByTreatZeroAsMissing(Instance) - Method in class weka.associations.ItemSet
Checks if an instance contains an item set.
contains(int) - Method in class weka.classifiers.bayes.net.ParentSet
test if node is contained in parent set
contains(int) - Method in class weka.classifiers.functions.supportVector.SMOset
Checks whether an element is in the set.
contains(String) - Method in class weka.core.pmml.Array
Returns true if the array contains this string value.
contains(int) - Method in class weka.core.pmml.Array
Returns true if the array contains this integer value.
contains(double) - Method in class weka.core.pmml.Array
Returns true if the array contains this real value.
contains(float) - Method in class weka.core.pmml.Array
Returns true if the array contains this real value.
contains(PrintStream) - Method in class weka.core.Tee
checks whether the given PrintStream is already in the list.
contains(Object) - Method in class weka.core.Trie
Returns true if this collection contains the specified element.
contains(String) - Method in class weka.core.Trie.TrieNode
checks whether a suffix can be found in its children
contains(String) - Method in class weka.core.xml.MethodHandler
checks whether a method is stored for the given property
contains(Class<?>) - Method in class weka.core.xml.MethodHandler
checks whether a method is stored for the given class
contains(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Tests whether the specified object is a component in this list.
contains(String) - Method in class weka.gui.HierarchyPropertyParser
Whether the HierarchyPropertyParser contains the given string
containsAll(Collection<?>) - Method in class weka.core.Trie
Returns true if this collection contains all of the elements in the specified collection.
containsEnvVariables(String) - Static method in class weka.core.Environment
Tests for the presence of environment variables.
containsItems(ArrayList<Item>, boolean) - Method in class weka.associations.AssociationRule
 
containsKey(double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Tests if the specified double is a key in this hashtable.
containsKey(double) - Method in class weka.classifiers.lazy.kstar.KStarCache
Checks if the specified key maps with an entry in the cache table
containsPrefix(String) - Method in class weka.core.Trie
checks whether the given prefix is stored in the trie
containsValue(double) - Method in class weka.core.pmml.FieldMetaInfo.Interval
Returns true if this interval contains the supplied value.
containsWindow(Class<?>) - Method in class weka.gui.Main
checks, whether an instance of the given window class is already in the Window list.
containsWindow(String) - Method in class weka.gui.Main
checks, whether a window with the given title is already in the Window list.
context() - Method in class weka.gui.HierarchyPropertyParser
The context of the current node, i.e.
ContingencyTables - Class in weka.core
Class implementing some statistical routines for contingency tables.
ContingencyTables() - Constructor for class weka.core.ContingencyTables
 
CONTINUOUS - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
cluster subtype: continuous
CONTSCORINGMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for CONT-SCORING-METHOD.
ContStats - Class in weka.core.pmml.jaxbbindings
Java class for ContStats element declaration.
ContStats() - Constructor for class weka.core.pmml.jaxbbindings.ContStats
 
ConverterFileChooser - Class in weka.gui
A specialized JFileChooser that lists all available file Loaders and Savers.
ConverterFileChooser() - Constructor for class weka.gui.ConverterFileChooser
onstructs a FileChooser pointing to the user's default directory.
ConverterFileChooser(File) - Constructor for class weka.gui.ConverterFileChooser
Constructs a FileChooser using the given File as the path.
ConverterFileChooser(String) - Constructor for class weka.gui.ConverterFileChooser
Constructs a FileChooser using the given path.
ConverterResources - Class in weka.core.converters
Helper class for dealing with Converter resources.
ConverterResources() - Constructor for class weka.core.converters.ConverterResources
 
ConverterUtils - Class in weka.core.converters
Utility routines for the converter package.
ConverterUtils() - Constructor for class weka.core.converters.ConverterUtils
 
ConverterUtils.DataSink - Class in weka.core.converters
Helper class for saving data to files.
ConverterUtils.DataSource - Class in weka.core.converters
Helper class for loading data from files and URLs.
convertInstance(Instance) - Method in interface weka.attributeSelection.AttributeTransformer
Transforms an instance in the format of the original data to the transformed space
convertInstance(Instance) - Method in class weka.attributeSelection.PrincipalComponents
Transform an instance in original (unormalized) format.
convertNewLines(String) - Static method in class weka.core.Utils
Converts carriage returns and new lines in a string into \r and \n.
convertNominalTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
convertNumericAttToNominal(int, ArrayList<String>) - Method in class weka.core.pmml.MiningSchema
Convert a numeric attribute in the mining schema to nominal.
convertStringAttsToNominal() - Method in class weka.core.pmml.MiningSchema
Method to convert any string attributes in the mining schema Instances to nominal attributes.
convertToAttribX(double) - Method in class weka.gui.visualize.Plot2D
convert a Panel x coordinate to a raw x value.
convertToAttribY(double) - Method in class weka.gui.visualize.Plot2D
convert a Panel y coordinate to a raw y value.
convertToPanelX(double) - Method in class weka.gui.visualize.Plot2D
Convert an raw x value to Panel x coordinate.
convertToPanelY(double) - Method in class weka.gui.visualize.Plot2D
Convert an raw y value to Panel y coordinate.
convertToRelativePath(File) - Static method in class weka.core.Utils
Converts a File's absolute path to a path relative to the user (ie start) directory.
convictionForRule(AprioriItemSet, AprioriItemSet, int, int) - Method in class weka.associations.AprioriItemSet
Outputs the conviction for a rule.
COORDINATES - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
copy(ParentSet) - Method in class weka.classifiers.bayes.net.ParentSet
Copy makes current parents set equal to other parent set
copy() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Return a shallow copy of this kernel
copy() - Method in class weka.classifiers.rules.JRip.Antd
Implements Copyable
copy() - Method in class weka.classifiers.rules.JRip.NominalAntd
Implements Copyable
copy() - Method in class weka.classifiers.rules.JRip.NumericAntd
Implements Copyable
copy() - Method in class weka.classifiers.rules.JRip.RipperRule
Get a shallow copy of this rule
copy() - Method in class weka.classifiers.rules.Rule
Get a shallow copy of this rule
copy() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
Makes a copy of this CorrelationSplitInfo object
copy() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
makes a copy of the SplitEvaluate object
copy() - Method in class weka.classifiers.trees.m5.YongSplitInfo
Makes a copy of this SplitInfo object
copy() - Method in class weka.core.Attribute
Produces a shallow copy of this attribute.
copy(String) - Method in class weka.core.Attribute
Produces a shallow copy of this attribute with a new name.
copy() - Method in class weka.core.BinarySparseInstance
Produces a shallow copy of this instance.
copy(double[]) - Method in class weka.core.BinarySparseInstance
Copies the instance but fills up its values based on the given array of doubles.
copy() - Method in interface weka.core.Copyable
This method produces a shallow copy of an object.
copy() - Method in class weka.core.DenseInstance
Produces a shallow copy of this instance.
copy(double[]) - Method in class weka.core.DenseInstance
Copies the instance but fills up its values based on the given array of doubles.
copy() - Method in class weka.core.FastVector
Deprecated.
Produces a shallow copy of this vector.
copy(double[]) - Method in interface weka.core.Instance
Copies the instance but fills up its values based on the given array of doubles.
copy() - Method in class weka.core.matrix.DoubleVector
Makes a deep copy of the vector
copy() - Method in class weka.core.matrix.IntVector
Makes a deep copy of the vector
copy() - Method in class weka.core.matrix.Matrix
Make a deep copy of a matrix
copy() - Method in class weka.core.SparseInstance
Produces a shallow copy of this instance.
copy(double[]) - Method in class weka.core.SparseInstance
Copies the instance but fills up its values based on the given array of doubles.
Copy - Class in weka.filters.unsupervised.attribute
An instance filter that copies a range of attributes in the dataset.
Copy() - Constructor for class weka.filters.unsupervised.attribute.Copy
 
copy(File, File) - Static method in class weka.gui.scripting.ScriptUtils
Copies the file/directory (recursively).
Copyable - Interface in weka.core
Interface implemented by classes that can produce "shallow" copies of their objects.
copyArea(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
copyContent() - Method in class weka.gui.arffviewer.ArffPanel
copies the content of the selection to the clipboard
copyContent() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
copies the content of the selection to the clipboard
copyElements() - Method in class weka.core.FastVector
Deprecated.
Clones the vector and shallow copies all its elements.
copyFlow() - Method in class weka.knowledgeflow.Flow
Make a copy of this Flow
copyFlowToClipboard(Flow) - Method in class weka.gui.knowledgeflow.MainKFPerspective
 
copyInto(Object[]) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Copies the components of this list into the specified array.
copyRelationalValues(Instance, Instances, AttributeLocator) - Static method in class weka.core.RelationalLocator
Copies relational values contained in the instance copied to a new dataset.
copyRelationalValues(Instance, boolean, Instances, AttributeLocator, Instances, AttributeLocator) - Static method in class weka.core.RelationalLocator
Takes relational values referenced by an Instance and copies them from a source dataset to a destination dataset.
Copyright - Class in weka.core
A class for providing centralized Copyright information.
Copyright() - Constructor for class weka.core.Copyright
 
copyStepsToClipboard(List<StepVisual>) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Copy the supplied steps to the clipboard
copyStringValues(Instance, Instances, AttributeLocator) - Static method in class weka.core.StringLocator
Copies string values contained in the instance copied to a new dataset.
copyStringValues(Instance, boolean, Instances, AttributeLocator, Instances, AttributeLocator) - Static method in class weka.core.StringLocator
Takes string values referenced by an Instance and copies them from a source dataset to a destination dataset.
copyToBuffer(Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp
Utility routine that serializes the supplied Vector of BeanInstances to XML
copyToClipboard() - Method in class weka.gui.sql.InfoPanel
copies the currently selected error message to the clipboard
CORE_FILE_LOADERS - Static variable in class weka.core.converters.ConverterResources
the core loaders - hardcoded list necessary for RMI/Remote Experiments (comma-separated list).
CORE_FILE_SAVERS - Static variable in class weka.core.converters.ConverterResources
the core savers - hardcoded list necessary for RMI/Remote Experiments (comma-separated list).
correct() - Method in class weka.classifiers.evaluation.ConfusionMatrix
Gets the number of correct classifications (that is, for which a correct prediction was made).
correct() - Method in class weka.classifiers.Evaluation
Gets the number of instances correctly classified (that is, for which a correct prediction was made).
correct() - Method in class weka.classifiers.evaluation.Evaluation
Gets the number of instances correctly classified (that is, for which a correct prediction was made).
correlation(double[], double[], int) - Static method in class weka.core.Utils
Returns the correlation coefficient of two double vectors.
correlation - Variable in class weka.experiment.PairedStats
The correlation coefficient
CorrelationAttributeEval - Class in weka.attributeSelection
CorrelationAttributeEval :

Evaluates the worth of an attribute by measuring the correlation (Pearson's) between it and the class.

Nominal attributes are considered on a value by value basis by treating each value as an indicator.
CorrelationAttributeEval() - Constructor for class weka.attributeSelection.CorrelationAttributeEval
 
correlationCoefficient() - Method in class weka.classifiers.Evaluation
Returns the correlation coefficient if the class is numeric.
correlationCoefficient() - Method in class weka.classifiers.evaluation.Evaluation
Returns the correlation coefficient if the class is numeric.
CorrelationFields - Class in weka.core.pmml.jaxbbindings
Java class for CorrelationFields element declaration.
CorrelationFields() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationFields
 
CorrelationMethods - Class in weka.core.pmml.jaxbbindings
Java class for CorrelationMethods element declaration.
CorrelationMethods() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationMethods
 
Correlations - Class in weka.core.pmml.jaxbbindings
Java class for Correlations element declaration.
Correlations() - Constructor for class weka.core.pmml.jaxbbindings.Correlations
 
CorrelationSplitInfo - Class in weka.classifiers.trees.m5
Finds split points using correlation.
CorrelationSplitInfo(int, int, int) - Constructor for class weka.classifiers.trees.m5.CorrelationSplitInfo
Constructs an object which contains the split information
CorrelationValues - Class in weka.core.pmml.jaxbbindings
Java class for CorrelationValues element declaration.
CorrelationValues() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationValues
 
CostBenefitAnalysis - Class in weka.gui.beans
Bean that aids in analyzing cost/benefit tradeoffs.
CostBenefitAnalysis() - Constructor for class weka.gui.beans.CostBenefitAnalysis
Constructor.
CostBenefitAnalysis - Class in weka.knowledgeflow.steps
Step for storing and viewing threshold data in a cost-benefit visualization
CostBenefitAnalysis() - Constructor for class weka.knowledgeflow.steps.CostBenefitAnalysis
 
CostBenefitAnalysisBeanInfo - Class in weka.gui.beans
Bean info class for the cost/benefit analysis
CostBenefitAnalysisBeanInfo() - Constructor for class weka.gui.beans.CostBenefitAnalysisBeanInfo
 
CostBenefitAnalysisInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive view for the CostBenefitAnalysis step
CostBenefitAnalysisInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.CostBenefitAnalysisInteractiveView
 
CostBenefitAnalysisPanel - Class in weka.gui
Panel for displaying the cost-benefit plots and all control widgets.
CostBenefitAnalysisPanel() - Constructor for class weka.gui.CostBenefitAnalysisPanel
 
CostCurve - Class in weka.classifiers.evaluation
Generates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes.
CostCurve() - Constructor for class weka.classifiers.evaluation.CostCurve
 
CostMatrix - Class in weka.classifiers
Class for storing and manipulating a misclassification cost matrix.
CostMatrix(int) - Constructor for class weka.classifiers.CostMatrix
Creates a default cost matrix of a particular size.
CostMatrix(CostMatrix) - Constructor for class weka.classifiers.CostMatrix
Creates a cost matrix that is a copy of another.
CostMatrix(Reader) - Constructor for class weka.classifiers.CostMatrix
Reads a matrix from a reader.
CostMatrixEditor - Class in weka.gui
Class for editing CostMatrix objects.
CostMatrixEditor() - Constructor for class weka.gui.CostMatrixEditor
Constructs a new CostMatrixEditor.
costMatrixSourceTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
 
costMatrixTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
 
CostSensitiveClassifier - Class in weka.classifiers.meta
A metaclassifier that makes its base classifier cost sensitive.
CostSensitiveClassifier() - Constructor for class weka.classifiers.meta.CostSensitiveClassifier
Default constructor.
CostSensitiveClassifierSplitEvaluator - Class in weka.experiment
SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.
CostSensitiveClassifierSplitEvaluator() - Constructor for class weka.experiment.CostSensitiveClassifierSplitEvaluator
 
Count(double) - Constructor for class weka.classifiers.functions.SGDText.Count
 
count - Variable in class weka.experiment.PairedStats
The number of data points seen
count - Variable in class weka.experiment.Stats
The number of values seen
countData() - Method in class weka.classifiers.rules.RuleStats
Filter the data according to the ruleset and compute the basic stats: coverage/uncoverage, true/false positive/negatives of each rule
countData(int, Instances, double[][]) - Method in class weka.classifiers.rules.RuleStats
Count data from the position index in the ruleset assuming that given data are not covered by the rules in position 0...(index-1), and the statistics of these rules are provided.
This procedure is typically useful when a temporary object of RuleStats is constructed in order to efficiently calculate the relative DL of rule in position index, thus all other stuff is not needed.
counter() - Method in class weka.associations.ItemSet
Gets the counter
Counts - Class in weka.core.pmml.jaxbbindings
Java class for Counts element declaration.
Counts() - Constructor for class weka.core.pmml.jaxbbindings.Counts
 
countsForInstance(Instance) - Method in class weka.classifiers.bayes.BayesNet
Calculates the counts for Dirichlet distribution for the class membership probabilities for the given test instance.
COUNTTABLETYPE - Class in weka.core.pmml.jaxbbindings
Java class for COUNT-TABLE-TYPE complex type.
COUNTTABLETYPE() - Constructor for class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
 
countWidthTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
Covariances - Class in weka.core.pmml.jaxbbindings
Java class for Covariances element declaration.
Covariances() - Constructor for class weka.core.pmml.jaxbbindings.Covariances
 
CovariateList - Class in weka.core.pmml.jaxbbindings
Java class for CovariateList element declaration.
CovariateList() - Constructor for class weka.core.pmml.jaxbbindings.CovariateList
 
coverageOfTestCasesByPredictedRegions() - Method in class weka.classifiers.Evaluation
Gets the coverage of the test cases by the predicted regions at the confidence level specified when evaluation was performed.
coverageOfTestCasesByPredictedRegions() - Method in class weka.classifiers.evaluation.Evaluation
Gets the coverage of the test cases by the predicted regions at the confidence level specified when evaluation was performed.
covers(Instance) - Method in class weka.classifiers.rules.JRip.Antd
 
covers(Instance) - Method in class weka.classifiers.rules.JRip.NominalAntd
Whether the instance is covered by this antecedent
covers(Instance) - Method in class weka.classifiers.rules.JRip.NumericAntd
Whether the instance is covered by this antecedent
covers(Instance) - Method in class weka.classifiers.rules.JRip.RipperRule
Whether the instance covered by this rule
covers(Instance) - Method in class weka.classifiers.rules.Rule
Whether the instance covered by this rule
CoverTree - Class in weka.core.neighboursearch
Class implementing the CoverTree datastructure.
The class is very much a translation of the c source code made available by the authors.

For more information and original source code see:

Alina Beygelzimer, Sham Kakade, John Langford: Cover trees for nearest neighbor.
CoverTree() - Constructor for class weka.core.neighboursearch.CoverTree
default constructor.
CoverTree.CoverTreeNode - Class in weka.core.neighboursearch
class representing a node of the cover tree.
CoverTreeNode() - Constructor for class weka.core.neighboursearch.CoverTree.CoverTreeNode
Constructor for the class.
CoverTreeNode(Integer, double, double, Stack<CoverTree.CoverTreeNode>, int, int) - Constructor for class weka.core.neighboursearch.CoverTree.CoverTreeNode
Constructor.
CramersV(double[][]) - Static method in class weka.core.ContingencyTables
Computes Cramer's V for a contingency table.
create() - Static method in class weka.core.packageManagement.PackageManager
 
create(List<Object>, List<Integer>) - Static method in class weka.core.pmml.Array
 
create(Element) - Static method in class weka.core.pmml.Array
Static factory method for creating non-sparse or sparse array types as needed.
create(Reader) - Method in class weka.gui.treevisualizer.TreeBuild
This will build A node structure from the dotty format passed.
create() - Method in class weka.gui.visualize.PostscriptGraphics
Clone a PostscriptGraphics object
createAggregate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Aggregate
createAlternate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Alternate
createAnnotation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Annotation
createAnova() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Anova
createAnovaRow() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of AnovaRow
createAntecedentSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of AntecedentSequence
createAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of AnyDistribution
createApplication() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Application
createApply() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Apply
createARIMA(Object) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<Object>}
createArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<ArrayType>}
createArrayType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ArrayType
createAssociationModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of AssociationModel
createAssociationRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of AssociationRule
createAttribute() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Attribute
createBaseCumHazardTables() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BaseCumHazardTables
createBaseline() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Baseline
createBaselineCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BaselineCell
createBaselineModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BaselineModel
createBaselineStratum() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BaselineStratum
createBayesInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BayesInput
createBayesInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BayesInputs
createBayesOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BayesOutput
createBinarySimilarity() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BinarySimilarity
createBoundaryValueMeans() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BoundaryValueMeans
createBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of BoundaryValues
createCategoricalPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of CategoricalPredictor
createCategories() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Categories
createCategory() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Category
createCharacteristic() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Characteristic
createCharacteristics() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Characteristics
createChebychev() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Chebychev
createChildParent() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ChildParent
createCityBlock() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of CityBlock
createClassLabels() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ClassLabels
createCluster() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Cluster
createClusteringField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ClusteringField
createClusteringModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ClusteringModel
createClusteringModelQuality() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ClusteringModelQuality
createCoefficient() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Coefficient
createCoefficients() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Coefficients
createComparisonMeasure() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ComparisonMeasure
createComparisons() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Comparisons
createCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of CompoundPredicate
createCompoundRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of CompoundRule
createCon() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Con1
createConfusionMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ConfusionMatrix
createConsequentSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ConsequentSequence
createConstant() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Constant
createConstraints() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Constraints
createContStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ContStats
createCorrelationFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of CorrelationFields
createCorrelationMethods() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of CorrelationMethods
createCorrelations() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Correlations
createCorrelationValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of CorrelationValues
createCounts() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Counts
createCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<COUNTTABLETYPE>}
createCOUNTTABLETYPE() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of COUNTTABLETYPE
createCovariances() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Covariances
createCovariateList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of CovariateList
createDataDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of DataDictionary
createDataField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of DataField
createDecision() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Decision
createDecisions() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Decisions
createDecisionTree() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of DecisionTree
createDefineFunction() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of DefineFunction
createDelimiter() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Delimiter
createDerivedField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of DerivedField
createDiscretize() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Discretize
createDiscretizeBin() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of DiscretizeBin
createDiscrStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of DiscrStats
createDocumentTermMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of DocumentTermMatrix
createEuclidean() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Euclidean
createEventValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of EventValues
createExperimentIndex() - Method in class weka.experiment.DatabaseUtils
Attempts to create the experiment index table.
createExperimentIndexEntry(ResultProducer) - Method in class weka.experiment.DatabaseUtils
Attempts to insert a results entry for the table into the experiment index.
createExponentialSmoothing() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ExponentialSmoothing
createExtension() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Extension
createFactorList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of FactorList
createFalse() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of False
createFieldColumnPair() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of FieldColumnPair
createFieldRef() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of FieldRef
createFieldValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of FieldValue
createFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of FieldValueCount
createGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of GaussianDistribution
createGeneralRegressionModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of GeneralRegressionModel
createHeader() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Header
createIndices(List<Integer>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<List<Integer>>}
createInlineTable() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of InlineTable
createInstanceField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of InstanceField
createInstanceFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of InstanceFields
createINTEntries(List<Integer>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<List<Integer>>}
createInterval() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Interval
createINTSparseArray() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of INTSparseArray
createItem() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Item
createItemRef() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ItemRef
createItemset() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Itemset
createJaccard() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Jaccard
createKNNInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of KNNInput
createKNNInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of KNNInputs
createKohonenMap() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of KohonenMap
createLevel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Level
createLiftData() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of LiftData
createLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of LiftGraph
createLinearKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of LinearKernelType
createLinearNorm() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of LinearNorm
createLink(String, String) - Static method in class weka.gui.BrowserHelper
Generates a label with a clickable link.
createLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of LocalTransformations
createMapValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MapValues
createMatCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MatCell
createMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Matrix
createMiningBuildTask() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MiningBuildTask
createMiningField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MiningField
createMiningModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MiningModel
createMiningSchema() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MiningSchema
createMinkowski() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Minkowski
createMissingValueWeights() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MissingValueWeights
createModelExplanation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ModelExplanation
createModelLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ModelLiftGraph
createModelStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ModelStats
createModelVerification() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ModelVerification
createMultivariateStat() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MultivariateStat
createMultivariateStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of MultivariateStats
createNaiveBayesModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NaiveBayesModel
createNamedIndexedStore(String) - Method in class weka.knowledgeflow.steps.PairedDataHelper
Create a indexed store with a given name
createNearestNeighborModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NearestNeighborModel
createNeuralInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NeuralInput
createNeuralInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NeuralInputs
createNeuralLayer() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NeuralLayer
createNeuralNetwork() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NeuralNetwork
createNeuralOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NeuralOutput
createNeuralOutputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NeuralOutputs
createNeuron() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Neuron
createNewVisualizerWindow(Classifier, Instances) - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Creates a new GUI window with all of the BoundaryVisualizer trappings,
createNode() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Node
createNormalizedCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<COUNTTABLETYPE>}
createNormContinuous() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NormContinuous
createNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NormDiscrete
createNumericInfo() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NumericInfo
createNumericPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of NumericPredictor
createOptimumLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of OptimumLiftGraph
createOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Output
createOutputField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of OutputField
createPairCounts() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PairCounts
createParameter() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Parameter
createParameterField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ParameterField
createParameterList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ParameterList
createParamMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ParamMatrix
createPartition() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Partition
createPartitionFieldStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PartitionFieldStats
createPCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PCell
createPCovCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PCovCell
createPCovMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PCovMatrix
createPMML() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PMML
createPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PoissonDistribution
createPolynomialKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PolynomialKernelType
createPPCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PPCell
createPPMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PPMatrix
createPredictiveModelQuality() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PredictiveModelQuality
createPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Predictor
createPredictorTerm() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of PredictorTerm
createQuantile() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Quantile
createRadialBasisKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of RadialBasisKernelType
createRandomLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of RandomLiftGraph
createREALEntries(List<Double>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<List<Double>>}
createREALSparseArray() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of REALSparseArray
createRegression() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Regression
createRegressionModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of RegressionModel
createRegressionTable() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of RegressionTable
createResultField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ResultField
createResultsTable(ResultProducer, String) - Method in class weka.experiment.DatabaseUtils
Creates a results table for the supplied result producer.
createROC() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ROC
createROCGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ROCGraph
createRow() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Row
createRuleSelectionMethod() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of RuleSelectionMethod
createRuleSet() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of RuleSet
createRuleSetModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of RuleSetModel
createScorecard() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Scorecard
createScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of ScoreDistribution
createSeasonalityExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SeasonalityExpoSmooth
createSeasonalTrendDecomposition(Object) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<Object>}
createSegment() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Segment
createSegmentation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Segmentation
createSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Sequence
createSequenceModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SequenceModel
createSequenceReference() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SequenceReference
createSequenceRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SequenceRule
createSetPredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SetPredicate
createSetReference() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SetReference
createSigmoidKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SigmoidKernelType
createSimpleMatching() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SimpleMatching
createSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SimplePredicate
createSimpleRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SimpleRule
createSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SimpleSetPredicate
createSingleSettingsEditor(Map<Settings.SettingKey, Object>) - Static method in class weka.gui.SettingsEditor
Creates a single stand-alone settings editor panel
createSingleton(String[]) - Static method in class weka.gui.beans.KnowledgeFlowApp
Create the singleton instance of the KnowledgeFlow
createSingleton() - Static method in class weka.gui.GUIChooserApp
Create a singleton instance of the GUIChooser
createSingleton(String[]) - Static method in class weka.gui.Main
Create the singleton instance of the Main GUI.
createSpectralAnalysis(Object) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of JAXBElement<Object>}
createSquaredEuclidean() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SquaredEuclidean
createStore(String) - Method in interface weka.core.metastore.MetaStore
Create a named store
createStore(String) - Method in class weka.core.metastore.XMLFileBasedMetaStore
 
createSupportVector() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SupportVector
createSupportVectorMachine() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SupportVectorMachine
createSupportVectorMachineModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SupportVectorMachineModel
createSupportVectors() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of SupportVectors
createTableLocator() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TableLocator
createTanimoto() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Tanimoto
createTarget() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Target
createTargets() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Targets
createTargetValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TargetValue
createTargetValueCount() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TargetValueCount
createTargetValueCounts() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TargetValueCounts
createTaxonomy() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Taxonomy
createTestDistributions() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TestDistributions
createTextCorpus() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TextCorpus
createTextDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TextDictionary
createTextDocument() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TextDocument
createTextModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TextModel
createTextModelNormalization() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TextModelNormalization
createTextModelSimiliarity() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TextModelSimiliarity
createTime() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Time
createTimeAnchor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TimeAnchor
createTimeCycle() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TimeCycle
createTimeException() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TimeException
createTimeSeries() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TimeSeries
createTimeSeriesModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TimeSeriesModel
createTimestamp() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Timestamp
createTimeValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TimeValue
createTrainingInstances() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TrainingInstances
createTransformationDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TransformationDictionary
createTreeModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TreeModel
createTrendExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of TrendExpoSmooth
createTrue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of True
createUniformDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of UniformDistribution
createUnivariateStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of UnivariateStats
createValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of Value
createVectorDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of VectorDictionary
createVectorFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of VectorFields
createVectorInstance() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of VectorInstance
createVerificationField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of VerificationField
createVerificationFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of VerificationFields
createVisual(StepManagerImpl) - Static method in class weka.gui.knowledgeflow.StepVisual
Create a visual for the step managed by the supplied step manager.
createVisual(StepManagerImpl, ImageIcon) - Static method in class weka.gui.knowledgeflow.StepVisual
Create a visual for the step managed by the supplied step manager using the supplied icon.
createXCoordinates() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of XCoordinates
createYCoordinates() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
Create an instance of YCoordinates
crossValidate(NaiveBayesUpdateable, Instances, Random) - Static method in class weka.classifiers.trees.j48.NBTreeNoSplit
Utility method for fast 5-fold cross validation of a naive bayes model
CrossValidateAttributes() - Method in class weka.attributeSelection.AttributeSelection
Perform a cross validation for attribute selection.
crossValidateModel(Classifier, Instances, int, Random) - Method in class weka.classifiers.Evaluation
Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(Classifier, Instances, int, Random, Object...) - Method in class weka.classifiers.Evaluation
Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(String, Instances, int, String[], Random) - Method in class weka.classifiers.Evaluation
Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(Classifier, Instances, int, Random) - Method in class weka.classifiers.evaluation.Evaluation
Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(Classifier, Instances, int, Random, Object...) - Method in class weka.classifiers.evaluation.Evaluation
Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(String, Instances, int, String[], Random) - Method in class weka.classifiers.evaluation.Evaluation
Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(DensityBasedClusterer, Instances, int, Random) - Static method in class weka.clusterers.ClusterEvaluation
Perform a cross-validation for DensityBasedClusterer on a set of instances.
crossValidateModel(String, Instances, int, String[], Random) - Static method in class weka.clusterers.ClusterEvaluation
Performs a cross-validation for a DensityBasedClusterer clusterer on a set of instances.
crossValidateTipText() - Method in class weka.classifiers.lazy.IBk
Returns the tip text for this property.
CrossValidationFoldMaker - Class in weka.gui.beans
Bean for splitting instances into training ant test sets according to a cross validation
CrossValidationFoldMaker() - Constructor for class weka.gui.beans.CrossValidationFoldMaker
 
CrossValidationFoldMaker - Class in weka.knowledgeflow.steps
Step for generating cross-validation splits
CrossValidationFoldMaker() - Constructor for class weka.knowledgeflow.steps.CrossValidationFoldMaker
 
CrossValidationFoldMakerBeanInfo - Class in weka.gui.beans
BeanInfo class for the cross validation fold maker bean
CrossValidationFoldMakerBeanInfo() - Constructor for class weka.gui.beans.CrossValidationFoldMakerBeanInfo
 
CrossValidationFoldMakerCustomizer - Class in weka.gui.beans
GUI Customizer for the cross validation fold maker bean
CrossValidationFoldMakerCustomizer() - Constructor for class weka.gui.beans.CrossValidationFoldMakerCustomizer
 
CrossValidationResultProducer - Class in weka.experiment
Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.
CrossValidationResultProducer() - Constructor for class weka.experiment.CrossValidationResultProducer
 
CrossValidationSplitResultProducer - Class in weka.experiment
Carries out one split of a repeated k-fold cross-validation, using the set SplitEvaluator to generate some results.
CrossValidationSplitResultProducer() - Constructor for class weka.experiment.CrossValidationSplitResultProducer
 
crossValTipText() - Method in class weka.classifiers.rules.DecisionTable
Returns the tip text for this property
CSV - Class in weka.classifiers.evaluation.output.prediction
Outputs the predictions as CSV.
CSV() - Constructor for class weka.classifiers.evaluation.output.prediction.CSV
 
CSVLoader - Class in weka.core.converters
Reads a source that is in comma separated format (the default).
CSVLoader() - Constructor for class weka.core.converters.CSVLoader
default constructor.
CSVResultListener - Class in weka.experiment
Takes results from a result producer and assembles them into comma separated value form.
CSVResultListener() - Constructor for class weka.experiment.CSVResultListener
Sets temporary file.
CSVSaver - Class in weka.core.converters
Writes to a destination that is in CSV (comma-separated values) format.
CSVSaver() - Constructor for class weka.core.converters.CSVSaver
Constructor.
cTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
cTipText() - Method in class weka.classifiers.functions.SMOreg
Returns the tip text for this property
cumulate() - Method in class weka.core.matrix.DoubleVector
Returns a vector that stores the cumulated values of the original vector
cumulateInPlace() - Method in class weka.core.matrix.DoubleVector
Cumulates the original vector in place
cumulativeCV(BayesNet) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
CumulativeCV returns the accuracy calculated using cumulative cross validation.
CUMULATIVELINKFUNCTION - Enum in weka.core.pmml.jaxbbindings
Java class for CUMULATIVE-LINK-FUNCTION.
currentPlotRowCompleted(int) - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
Called when a row of the image being plotted has been completed
currentPlotRowCompleted(int) - Method in interface weka.knowledgeflow.steps.BoundaryPlotter.RenderingUpdateListener
Called when rendering of a row in the current plot has completed
CustomDisplayStringProvider - Interface in weka.core
For classes that do not implement the OptionHandler interface and want to provide a custom display string in the GenericObjectEditor, which is more descriptive than the class name.
customizePopupMenu(JPopupMenu, Object, GenericObjectEditorHistory.HistorySelectionListener) - Method in class weka.gui.GenericObjectEditorHistory
Adds a menu item with the history to the popup menu.
CustomizerCloseRequester - Interface in weka.gui.beans
Customizers who want to be able to close the customizer window themselves can implement this window.
customizerClosing() - Method in class weka.gui.beans.AttributeSummarizerCustomizer
Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the ImageSaver to its previous state.
customizerClosing() - Method in class weka.gui.beans.ClassAssignerCustomizer
 
customizerClosing() - Method in class weka.gui.beans.ClassifierCustomizer
 
customizerClosing() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
 
customizerClosing() - Method in class weka.gui.beans.ClassValuePickerCustomizer
 
customizerClosing() - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
 
customizerClosing() - Method in interface weka.gui.beans.CustomizerClosingListener
Customizer classes that want to know when they are being disposed of can implement this method.
customizerClosing() - Method in class weka.gui.beans.DataVisualizerCustomizer
Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the ImageSaver to its previous state.
customizerClosing() - Method in class weka.gui.beans.ImageSaverCustomizer
Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the ImageSaver to its previous state.
customizerClosing() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
 
customizerClosing() - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the ImageSaver to its previous state.
customizerClosing() - Method in class weka.gui.beans.NoteCustomizer
 
customizerClosing() - Method in class weka.gui.beans.PredictionAppenderCustomizer
 
customizerClosing() - Method in class weka.gui.beans.SerializedModelSaverCustomizer
 
customizerClosing() - Method in class weka.gui.beans.TextSaverCustomizer
Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the TextSaver to its previous state.
CustomizerClosingListener - Interface in weka.gui.beans
 
CustomPanelSupplier - Interface in weka.gui
An interface for objects that are capable of supplying their own custom GUI components.
customPropsFileTipText() - Method in class weka.core.converters.DatabaseLoader
The tip text for this property.
customPropsFileTipText() - Method in class weka.core.converters.DatabaseSaver
The tip text for this property.
customPropsFileTipText() - Method in class weka.experiment.InstanceQuery
The tip text for this property.
cutoffTipText() - Method in class weka.clusterers.Cobweb
Returns the tip text for this property
cutpointsToString(double[], boolean[]) - Static method in class weka.estimators.EstimatorUtils
Returns a string representing the cutpoints.
CVParameterSelection - Class in weka.classifiers.meta
Class for performing parameter selection by cross-validation for any classifier.

For more information, see:

R.
CVParameterSelection() - Constructor for class weka.classifiers.meta.CVParameterSelection
 
CVParametersTipText() - Method in class weka.classifiers.meta.CVParameterSelection
Returns the tip text for this property
CVResultsString() - Method in class weka.attributeSelection.AttributeSelection
returns a string summarizing the results of repeated attribute selection runs on splits of a dataset.
CVTypeTipText() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
 

D

DATA - Static variable in class weka.core.json.JSONInstances
the data section.
Data - Class in weka.knowledgeflow
Class for encapsulating data to be transferred between Knowledge Flow steps over a particular connection type.
Data() - Constructor for class weka.knowledgeflow.Data
Empty constructor - no connection name; no payload
Data(String) - Constructor for class weka.knowledgeflow.Data
Construct a Data object with just a connection name
Data(String, Object) - Constructor for class weka.knowledgeflow.Data
Construct a Data object with a connection name and a primary payload object to associate with the connection name
DatabaseConnection - Class in weka.core.converters
Connects to a database.
DatabaseConnection() - Constructor for class weka.core.converters.DatabaseConnection
Sets up the database drivers.
DatabaseConnection(File) - Constructor for class weka.core.converters.DatabaseConnection
Reads the properties from the specified file and sets up the database drivers.
DatabaseConnection(Properties) - Constructor for class weka.core.converters.DatabaseConnection
Uses the specified properties to set up the database drivers.
DatabaseConnectionDialog - Class in weka.gui
A dialog to enter URL, username and password for a database connection.
DatabaseConnectionDialog(Frame) - Constructor for class weka.gui.DatabaseConnectionDialog
Create database connection dialog.
DatabaseConnectionDialog(Frame, String, String) - Constructor for class weka.gui.DatabaseConnectionDialog
Create database connection dialog.
DatabaseConnectionDialog(Frame, String, String, boolean) - Constructor for class weka.gui.DatabaseConnectionDialog
Create database connection dialog.
DatabaseConverter - Interface in weka.core.converters
Marker interface for a loader/saver that uses a database
DatabaseLoader - Class in weka.core.converters
Reads Instances from a Database.
DatabaseLoader() - Constructor for class weka.core.converters.DatabaseLoader
Constructor
DatabaseResultListener - Class in weka.experiment
Takes results from a result producer and sends them to a database.
DatabaseResultListener() - Constructor for class weka.experiment.DatabaseResultListener
Sets up the database drivers
DatabaseResultProducer - Class in weka.experiment
Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener.
DatabaseResultProducer() - Constructor for class weka.experiment.DatabaseResultProducer
Creates the DatabaseResultProducer, letting the parent constructor do it's thing.
DatabaseSaver - Class in weka.core.converters
Writes to a database (tested with MySQL, InstantDB, HSQLDB).
DatabaseSaver() - Constructor for class weka.core.converters.DatabaseSaver
Constructor.
databaseURLTipText() - Method in class weka.experiment.DatabaseUtils
Returns the tip text for this property.
DatabaseUtils - Class in weka.experiment
DatabaseUtils provides utility functions for accessing the experiment database.
DatabaseUtils() - Constructor for class weka.experiment.DatabaseUtils
Reads properties and sets up the database drivers.
DatabaseUtils(File) - Constructor for class weka.experiment.DatabaseUtils
Reads the properties from the specified file and sets up the database drivers.
DatabaseUtils(Properties) - Constructor for class weka.experiment.DatabaseUtils
Uses the specified properties to set up the database drivers.
DataCollector - Interface in weka.knowledgeflow.steps
Auxiliary interface for steps that collect data results of some type - e.g.
DataDictionary - Class in weka.core.pmml.jaxbbindings
Java class for DataDictionary element declaration.
DataDictionary() - Constructor for class weka.core.pmml.jaxbbindings.DataDictionary
 
dataDL(double, double, double, double, double) - Static method in class weka.classifiers.rules.RuleStats
The description length of data given the parameters of the data based on the ruleset.
DataField - Class in weka.core.pmml.jaxbbindings
Java class for DataField element declaration.
DataField() - Constructor for class weka.core.pmml.jaxbbindings.DataField
 
DataField(String, OPTYPE) - Constructor for class weka.core.pmml.jaxbbindings.DataField
 
DataFormatListener - Interface in weka.gui.beans
Listener interface that customizer classes that are interested in data format changes can implement.
dataFromStep(Data) - Method in interface weka.knowledgeflow.StepOutputListener
Process data produced by a knowledge flow step
DataGenerator - Class in weka.datagenerators
Abstract superclass for data generators that generate data for classifiers and clusterers.
DataGenerator() - Constructor for class weka.datagenerators.DataGenerator
initializes with default settings.
DataGenerator - Interface in weka.gui.boundaryvisualizer
Interface to something that can generate new instances based on a set of input instances
DataGenerator - Class in weka.knowledgeflow.steps
Step that wraps a Weka DataGenerator.
DataGenerator() - Constructor for class weka.knowledgeflow.steps.DataGenerator
 
DataGeneratorPanel - Class in weka.gui.explorer
A panel for generating artificial data via DataGenerators.
DataGeneratorPanel() - Constructor for class weka.gui.explorer.DataGeneratorPanel
creates the panel
DataGrid - Class in weka.knowledgeflow.steps
A step that allows the user to define instances to output
DataGrid() - Constructor for class weka.knowledgeflow.steps.DataGrid
 
DataGridStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the data grid
DataGridStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.DataGridStepEditorDialog
 
dataset() - Method in class weka.core.AbstractInstance
Returns the dataset this instance has access to.
dataset() - Method in interface weka.core.Instance
Returns the dataset this instance has access to.
DATASET_FIELD_NAME - Static variable in class weka.experiment.CrossValidationResultProducer
The name of the key field containing the dataset name
DATASET_FIELD_NAME - Static variable in class weka.experiment.ExplicitTestsetResultProducer
The name of the key field containing the dataset name.
DATASET_FIELD_NAME - Static variable in class weka.experiment.RandomSplitResultProducer
The name of the key field containing the dataset name
DataSetEvent - Class in weka.gui.beans
Event encapsulating a data set
DataSetEvent(Object, Instances) - Constructor for class weka.gui.beans.DataSetEvent
 
DatasetListPanel - Class in weka.gui.experiment
This panel controls setting a list of datasets for an experiment to iterate over.
DatasetListPanel(Experiment) - Constructor for class weka.gui.experiment.DatasetListPanel
Creates the dataset list panel with the given experiment.
DatasetListPanel() - Constructor for class weka.gui.experiment.DatasetListPanel
Create the dataset list panel initially disabled.
DataSink(String) - Constructor for class weka.core.converters.ConverterUtils.DataSink
initializes the sink to save the data to the given file.
DataSink(Saver) - Constructor for class weka.core.converters.ConverterUtils.DataSink
initializes the sink to save the data to the given Saver (expected to be fully configured).
DataSink(OutputStream) - Constructor for class weka.core.converters.ConverterUtils.DataSink
initializes the sink to save the data in the stream (always in ARFF format).
DataSink - Interface in weka.gui.beans
Indicator interface to something that can store instances to some destination
DataSource(String) - Constructor for class weka.core.converters.ConverterUtils.DataSource
Tries to load the data from the file.
DataSource(Instances) - Constructor for class weka.core.converters.ConverterUtils.DataSource
Initializes the datasource with the given dataset.
DataSource(Loader) - Constructor for class weka.core.converters.ConverterUtils.DataSource
Initializes the datasource with the given Loader.
DataSource(InputStream) - Constructor for class weka.core.converters.ConverterUtils.DataSource
Initializes the datasource with the given input stream.
DataSource - Interface in weka.gui.beans
Interface to something that is capable of being a source for data - either batch or incremental data
DataSourceListener - Interface in weka.gui.beans
Interface to something that can accept DataSetEvents
DATATYPE - Enum in weka.core.pmml.jaxbbindings
Java class for DATATYPE.
DATATYPE_LAYOUT - Static variable in class weka.gui.beans.xml.XMLBeans
the data that is about to be read/written contains a complete layout
DATATYPE_USERCOMPONENTS - Static variable in class weka.gui.beans.xml.XMLBeans
the data that is about to be read/written contains user-components, i.e., Metabeans
DataVisualizer - Class in weka.gui.beans
Bean that encapsulates weka.gui.visualize.VisualizePanel
DataVisualizer() - Constructor for class weka.gui.beans.DataVisualizer
 
DataVisualizer - Class in weka.knowledgeflow.steps
A step that provides a visualization based on weka.gui.visualize.VisualizePanel
DataVisualizer() - Constructor for class weka.knowledgeflow.steps.DataVisualizer
 
DataVisualizerBeanInfo - Class in weka.gui.beans
Bean info class for the data visualizer
DataVisualizerBeanInfo() - Constructor for class weka.gui.beans.DataVisualizerBeanInfo
 
DataVisualizerCustomizer - Class in weka.gui.beans
GUI customizer for data visualizer.
DataVisualizerCustomizer() - Constructor for class weka.gui.beans.DataVisualizerCustomizer
Constructor
DataVisualizerInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive viewer for the DataVisualizer step
DataVisualizerInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.DataVisualizerInteractiveView
 
DataVisualizerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Editor dialog for the DataVisualizer step
DataVisualizerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.DataVisualizerStepEditorDialog
 
DATE - Static variable in class weka.core.Attribute
Constant set for attributes with date values.
DATE - Static variable in class weka.experiment.DatabaseUtils
Type mapping for DATE used for reading experiment results.
DateAttributeInfo - Class in weka.core
Stores information for date attributes.
DateAttributeInfo(String) - Constructor for class weka.core.DateAttributeInfo
Constructs info based on argument.
dateAttributesTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
DATEFORMAT - Static variable in class weka.core.json.JSONInstances
the dateformat attribute.
dateFormatTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
dateFormatTipText() - Method in class weka.filters.unsupervised.attribute.Add
Returns the tip text for this property.
dateFormatTipText() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
 
dateFormatTipText() - Method in class weka.filters.unsupervised.attribute.NumericToDate
 
dateFormatTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Tip text for this property suitable for displaying in the GUI.
dateReplacementValueTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Tip text for this property suitable for displaying in the GUI.
dateToMillis(String, String) - Static method in class weka.core.Utils
Turns a given date string into Java's internal representation (milliseconds from 1 January 1970).
DateToNumeric - Class in weka.filters.unsupervised.attribute
A filter for turning date attributes into numeric ones.
DateToNumeric() - Constructor for class weka.filters.unsupervised.attribute.DateToNumeric
 
DbConnectionDialog(String, String) - Method in class weka.gui.DatabaseConnectionDialog
Display the database connection dialog
DbConnectionDialog(String, String, boolean) - Method in class weka.gui.DatabaseConnectionDialog
Display the database connection dialog
DBO() - Constructor for class weka.core.Debug.DBO
 
DbUtils - Class in weka.gui.sql
A little bit extended DatabaseUtils class.
DbUtils() - Constructor for class weka.gui.sql.DbUtils
initializes the object.
dchisq(double) - Static method in class weka.core.matrix.Maths
Returns the density of the Chi-squared distribution.
dchisq(double, double) - Static method in class weka.core.matrix.Maths
Returns the density of the noncentral Chi-squared distribution.
dchisq(double, DoubleVector) - Static method in class weka.core.matrix.Maths
Returns the density of the noncentral Chi-squared distribution.
dchisqLog(double) - Static method in class weka.core.matrix.Maths
Returns the log-density of the noncentral Chi-square distribution.
dchisqLog(double, double) - Static method in class weka.core.matrix.Maths
Returns the log-density value of a noncentral Chi-square distribution.
dchisqLog(double, DoubleVector) - Static method in class weka.core.matrix.Maths
Returns the log-density of a set of noncentral Chi-squared distributions.
DDConditionalEstimator - Class in weka.estimators
Conditional probability estimator for a discrete domain conditional upon a discrete domain.
DDConditionalEstimator() - Constructor for class weka.estimators.DDConditionalEstimator
No-arg constructor needed to make WEKA's forName() work.
DDConditionalEstimator(int, int, boolean) - Constructor for class weka.estimators.DDConditionalEstimator
Constructor
Debug - Class in weka.core
A helper class for debug output, logging, clocking, etc.
Debug() - Constructor for class weka.core.Debug
default constructor, prints only to stdout
Debug(String) - Constructor for class weka.core.Debug
logs the output to the specified file (and stdout).
Debug(String, int, int) - Constructor for class weka.core.Debug
logs the output
DEBUG - Static variable in class weka.gui.LogWindow
whether we're debugging - enables output on stdout
Debug.Clock - Class in weka.core
A little helper class for clocking and outputting times.
Debug.DBO - Class in weka.core
contains debug methods
Debug.Log - Class in weka.core
A helper class for logging stuff.
Debug.Random - Class in weka.core
This extended Random class enables one to print the generated random numbers etc., before they are returned.
Debug.SimpleLog - Class in weka.core
A little, simple helper class for logging stuff.
Debug.Timestamp - Class in weka.core
A class that can be used for timestamps in files, The toString() method simply returns the associated Date object in a timestamp format.
debuggingOutputTipText() - Method in class weka.attributeSelection.GreedyStepwise
Returns the tip text for this property
debugTipText() - Method in class weka.attributeSelection.CfsSubsetEval
Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.AbstractClassifier
Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.functions.Logistic
Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.functions.supportVector.Kernel
Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.meta.MultiScheme
Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.rules.JRip
Returns the tip text for this property
debugTipText() - Method in class weka.clusterers.AbstractClusterer
Returns the tip text for this property
debugTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
debugTipText() - Method in class weka.core.converters.TextDirectoryLoader
the tip text for this property
debugTipText() - Method in class weka.core.stopwords.AbstractStopwords
Returns the tip text for this property
debugTipText() - Method in class weka.datagenerators.DataGenerator
Returns the tip text for this property
debugTipText() - Method in class weka.estimators.Estimator
Returns the tip text for this property
debugTipText() - Method in class weka.experiment.DatabaseUtils
Returns the tip text for this property.
debugTipText() - Method in class weka.filters.Filter
Returns the tip text for this property
debugTipText() - Method in class weka.filters.unsupervised.attribute.AddExpression
Returns the tip text for this property
decayTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
decimalsTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
Decision - Class in weka.core.pmml.jaxbbindings
Java class for Decision element declaration.
Decision() - Constructor for class weka.core.pmml.jaxbbindings.Decision
 
Decisions - Class in weka.core.pmml.jaxbbindings
Java class for Decisions element declaration.
Decisions() - Constructor for class weka.core.pmml.jaxbbindings.Decisions
 
DecisionStump - Class in weka.classifiers.trees
Class for building and using a decision stump.
DecisionStump() - Constructor for class weka.classifiers.trees.DecisionStump
 
DecisionTable - Class in weka.classifiers.rules
Class for building and using a simple decision table majority classifier.

For more information see:

Ron Kohavi: The Power of Decision Tables.
DecisionTable() - Constructor for class weka.classifiers.rules.DecisionTable
Constructor for a DecisionTable
DecisionTableHashKey - Class in weka.classifiers.rules
Class providing hash table keys for DecisionTable
DecisionTableHashKey(Instance, int, boolean) - Constructor for class weka.classifiers.rules.DecisionTableHashKey
Constructor for a hashKey
DecisionTableHashKey(double[]) - Constructor for class weka.classifiers.rules.DecisionTableHashKey
Constructor for a hashKey
DecisionTree - Class in weka.core.pmml.jaxbbindings
Java class for DecisionTree element declaration.
DecisionTree() - Constructor for class weka.core.pmml.jaxbbindings.DecisionTree
 
decompose() - Method in class weka.classifiers.BVDecompose
Carry out the bias-variance decomposition
decompose() - Method in class weka.classifiers.BVDecomposeSegCVSub
Carry out the bias-variance decomposition using the sub-sampled cross-validation method.
decreaseFontSize() - Method in class weka.gui.beans.Note
Decrease the font size by one
decreaseFontSize() - Method in class weka.gui.knowledgeflow.NoteVisual
Decrease the font size by one
decreaseFrequency(int) - Method in class weka.associations.Item
Decrease the frequency of this item.
decreaseFrequency() - Method in class weka.associations.Item
Decrement the frequency of this item.
DEFAULT_COLORS - Static variable in class weka.gui.boundaryvisualizer.BoundaryPanel
default colours for classes
DEFAULT_COLORS - Static variable in class weka.knowledgeflow.steps.BoundaryPlotter
default colours for classes
DEFAULT_COMMENT - Static variable in class weka.gui.scripting.SyntaxDocument
the attribute set for comments.
DEFAULT_EXPRESSION - Static variable in class weka.filters.unsupervised.attribute.RemoveByName
the default expression.
DEFAULT_FILE - Static variable in class weka.knowledgeflow.steps.ImageSaver.ImageSaverDefaults
 
DEFAULT_FILE - Static variable in class weka.knowledgeflow.steps.TextSaver.TextSaverDefaults
 
DEFAULT_FILE_KEY - Static variable in class weka.knowledgeflow.steps.ImageSaver.ImageSaverDefaults
 
DEFAULT_FILE_KEY - Static variable in class weka.knowledgeflow.steps.TextSaver.TextSaverDefaults
 
DEFAULT_FONT_FAMILY - Static variable in class weka.gui.scripting.SyntaxDocument
the font family.
DEFAULT_FONT_SIZE - Static variable in class weka.gui.scripting.SyntaxDocument
the font size.
DEFAULT_FORMAT - Static variable in class weka.core.Debug.Timestamp
the default format
DEFAULT_FORMAT - Static variable in class weka.gui.SimpleDateFormatEditor
the default format
DEFAULT_FORMAT - Static variable in class weka.knowledgeflow.steps.ImageSaver.ImageSaverDefaults
 
DEFAULT_FORMAT_KEY - Static variable in class weka.knowledgeflow.steps.ImageSaver.ImageSaverDefaults
 
DEFAULT_HEIGHT - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
the default for height
DEFAULT_KEYWORD - Static variable in class weka.gui.scripting.SyntaxDocument
the attribute set for keywords.
DEFAULT_LEFT - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
the default for left
DEFAULT_NORMAL - Static variable in class weka.gui.scripting.SyntaxDocument
the attribute set for normal code.
DEFAULT_PACKAGE - Static variable in class weka.core.ClassCache
the key for the default package.
DEFAULT_SEPARATORS - Static variable in class weka.core.TestInstances
the default word separators used in strings
DEFAULT_SHAPE_SIZE - Static variable in class weka.gui.visualize.Plot2D
 
DEFAULT_STORE_LOCATION - Static variable in class weka.core.metastore.XMLFileBasedMetaStore
The default location for the XML files
DEFAULT_STRING - Static variable in class weka.gui.scripting.SyntaxDocument
the attribute set for strings.
DEFAULT_SUFFIX - Static variable in class weka.experiment.ExplicitTestsetResultProducer
the default suffix.
DEFAULT_T1 - Static variable in class weka.clusterers.Canopy
 
DEFAULT_T2 - Static variable in class weka.clusterers.Canopy
 
DEFAULT_TOP - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
the default for top
DEFAULT_WIDTH - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
the default for width
DEFAULT_WORDS - Static variable in class weka.core.TestInstances
the default list of words used in strings
DefaultAssociationRule - Class in weka.associations
Class for storing and manipulating an association rule.
DefaultAssociationRule(Collection<Item>, Collection<Item>, DefaultAssociationRule.METRIC_TYPE, int, int, int, int) - Constructor for class weka.associations.DefaultAssociationRule
Construct a new default association rule.
DefaultAssociationRule.METRIC_TYPE - Enum in weka.associations
Enum for holding different metric types
DefaultCallbackNotifierDelegate - Class in weka.knowledgeflow
Default implementation of a CallbackNotifierDelegate.
DefaultCallbackNotifierDelegate() - Constructor for class weka.knowledgeflow.DefaultCallbackNotifierDelegate
 
defaultOutput() - Method in class weka.datagenerators.DataGenerator
Gets writer, which is used for outputting to stdout.
DefaultPackage - Class in weka.core.packageManagement
A concrete implementation of Package that uses Java properties files/classes to manage package meta data.
DefaultPackage(File, PackageManager, Map<?, ?>) - Constructor for class weka.core.packageManagement.DefaultPackage
Constructs an new DefaultPackage.
DefaultPackage(File, PackageManager) - Constructor for class weka.core.packageManagement.DefaultPackage
Constructs a new DefaultPackage.
DefaultPackageManager - Class in weka.core.packageManagement
A concrete implementation of PackageManager that uses Java properties files/class to manage package meta data.
DefaultPackageManager() - Constructor for class weka.core.packageManagement.DefaultPackageManager
Constructor
Defaults - Class in weka.core
Base class for providing a set of default settings for an application.
Defaults(String) - Constructor for class weka.core.Defaults
Construct a new empty Defaults
Defaults(String, Map<Settings.SettingKey, Object>) - Constructor for class weka.core.Defaults
Construct a new Defaults
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.LED24
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.RDG1
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.regression.Expression
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.DataGenerator
Constructs the Instances object representing the format of the generated data.
DefineFunction - Class in weka.core.pmml
Class encapsulating DefineFunction (used in TransformationDictionary).
DefineFunction(Element, TransformationDictionary) - Constructor for class weka.core.pmml.DefineFunction
 
DefineFunction - Class in weka.core.pmml.jaxbbindings
Java class for DefineFunction element declaration.
DefineFunction() - Constructor for class weka.core.pmml.jaxbbindings.DefineFunction
 
del(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
Deletes given instance from given bag.
DelayedCallbackNotifierDelegate - Class in weka.knowledgeflow
Implementation of a CallbackNotifierDelegate that stores the ExecutionResult and only notifies the callback when the notifyNow() method is called.
DelayedCallbackNotifierDelegate() - Constructor for class weka.knowledgeflow.DelayedCallbackNotifierDelegate
 
delete(int) - Method in class weka.classifiers.functions.supportVector.SMOset
Deletes an element from the set.
delete() - Method in class weka.core.Instances
Removes all instances from the set.
delete(int) - Method in class weka.core.Instances
Removes an instance at the given position from the set.
deleteArc(String, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Delete arc between two nodes.
deleteArc(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Delete arc between two nodes.
deleteAttribute() - Method in class weka.gui.arffviewer.ArffPanel
deletes the currently selected attribute
deleteAttribute(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
deletes the current selected Attribute or several chosen ones
deleteAttributeAt(int) - Method in class weka.core.AbstractInstance
Deletes an attribute at the given position (0 to numAttributes() - 1).
deleteAttributeAt(int) - Method in interface weka.core.Instance
Deletes an attribute at the given position (0 to numAttributes() - 1).
deleteAttributeAt(int) - Method in class weka.core.Instances
Deletes an attribute at the given position (0 to numAttributes() - 1).
deleteAttributeAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
deletes the attribute at the given col index
deleteAttributeAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
deletes the attribute at the given col index.
deleteAttributeAt(int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
deletes the attribute at the given col index
deleteAttributes() - Method in class weka.gui.arffviewer.ArffPanel
deletes the chosen attributes
deleteAttributes(int[]) - Method in class weka.gui.arffviewer.ArffSortedTableModel
deletes the attributes at the given indices
deleteAttributes(int[]) - Method in class weka.gui.arffviewer.ArffTableModel
deletes the attributes at the given indices
deleteAttributeType(int) - Method in class weka.core.Instances
Deletes all attributes of the given type in the dataset.
deleteDir(File, PrintStream...) - Static method in class weka.core.packageManagement.DefaultPackageManager
 
deleteEmptyBinsTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns the tip text for this property
deleteFlagString(List<String>, String) - Static method in class weka.core.Option
Removes an option from a given list of strings that specifies options.
deleteInstance() - Method in class weka.gui.arffviewer.ArffPanel
deletes the currently selected instance
deleteInstance(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
deletes the current selected Instance or several chosen ones
deleteInstanceAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
deletes the instance at the given index
deleteInstanceAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
deletes the instance at the given index
deleteInstanceAt(int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
deletes the instance at the given index
deleteInstances() - Method in class weka.gui.arffviewer.ArffPanel
deletes all the currently selected instances
deleteInstances(int[]) - Method in class weka.gui.arffviewer.ArffSortedTableModel
deletes the instances at the given positions
deleteInstances(int[]) - Method in class weka.gui.arffviewer.ArffTableModel
deletes the instances at the given positions
deleteItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.ItemSet
Deletes all item sets that don't have minimum support.
deleteItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.LabeledItemSet
Deletes all item sets that don't have minimum support and have more than maximum support
deleteLastParent(Instances) - Method in class weka.classifiers.bayes.net.ParentSet
Delete last added parent from parent set and update internals (specifically the cardinality of the parent set)
deleteNode(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Delete node from the network, updating instances, parentsets, distributions Conditional distributions are condensed by taking the values for the target node to be its first value.
deleteNode(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Delete node from the network, updating instances, parentsets, distributions Conditional distributions are condensed by taking the values for the target node to be its first value.
deleteOption(List<Option>, String) - Static method in class weka.core.Option
Removes an option from a given list of options.
deleteOptionString(List<String>, String) - Static method in class weka.core.Option
Removes an option from a given list of strings that specifies options.
deleteParent(int, Instances) - Method in class weka.classifiers.bayes.net.ParentSet
delete node from parent set
deleteSelection(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Delete nodes with indexes in selection from the network, updating instances, parentsets, distributions Conditional distributions are condensed by taking the values for the target node to be its first value.
deleteStringAttributes() - Method in class weka.core.Instances
Deletes all string attributes in the dataset.
deleteWithMissing(int) - Method in class weka.core.Instances
Removes all instances with missing values for a particular attribute from the dataset.
deleteWithMissing(Attribute) - Method in class weka.core.Instances
Removes all instances with missing values for a particular attribute from the dataset.
deleteWithMissingClass() - Method in class weka.core.Instances
Removes all instances with a missing class value from the dataset.
Delimiter - Class in weka.core.pmml.jaxbbindings
Java class for Delimiter element declaration.
Delimiter() - Constructor for class weka.core.pmml.jaxbbindings.Delimiter
 
DELIMITER2 - Enum in weka.core.pmml.jaxbbindings
Java class for DELIMITER.
delimitersTipText() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
Returns the tip text for this property
delNodeValue(int, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Delete node value from a node.
delRange(int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution
Deletes all instances in given range from given bag.
deltaTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
deltaTipText() - Method in class weka.associations.FPGrowth
Returns the tip text for this property
deltaTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
deltaTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
DenseInstance - Class in weka.core
Class for handling an instance.
DenseInstance(Instance) - Constructor for class weka.core.DenseInstance
Constructor that copies the attribute values and the weight from the given instance.
DenseInstance(double, double[]) - Constructor for class weka.core.DenseInstance
Constructor that inititalizes instance variable with given values.
DenseInstance(int) - Constructor for class weka.core.DenseInstance
Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.
DensityBasedClusterer - Interface in weka.clusterers
Interface for clusterers that can estimate the density for a given instance.
DensityBasedClustererSplitEvaluator - Class in weka.experiment
A SplitEvaluator that produces results for a density based clusterer.
DensityBasedClustererSplitEvaluator() - Constructor for class weka.experiment.DensityBasedClustererSplitEvaluator
 
densityBasedClustererTipText() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Returns a description of this option suitable for display as a tip text in the gui.
dependencies() - Method in class weka.core.Capabilities
Returns an Iterator over the stored dependencies
Dependency - Class in weka.core.packageManagement
Class that encapsulates a dependency between two packages
Dependency(Package, PackageConstraint) - Constructor for class weka.core.packageManagement.Dependency
Construct a new Dependency from a supplied source package and PackageConstraint containing the target package.
depth() - Method in class weka.gui.HierarchyPropertyParser
Get the depth of the tree, i.e.
DerivedField - Class in weka.core.pmml.jaxbbindings
Java class for DerivedField element declaration.
DerivedField() - Constructor for class weka.core.pmml.jaxbbindings.DerivedField
 
DerivedField(String, DATATYPE, OPTYPE) - Constructor for class weka.core.pmml.jaxbbindings.DerivedField
 
DerivedFieldMetaInfo - Class in weka.core.pmml
 
DerivedFieldMetaInfo(Element, ArrayList<Attribute>, TransformationDictionary) - Constructor for class weka.core.pmml.DerivedFieldMetaInfo
 
descendantPopulationSizeTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
descendantPopulationSizeTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
description() - Method in class weka.core.Option
Returns the option's description.
DESCRIPTION - Static variable in class weka.knowledgeflow.BaseExecutionEnvironment
Description of the default execution environment
deserialize(InputStream) - Static method in class weka.core.scripting.Jython
deserializes the Python Object from the stream
deSerialize(String) - Static method in class weka.core.xml.XStream
Deserializes an object from the supplied XML string
DesignPanel - Class in weka.gui.knowledgeflow
Panel that contains the tree view of steps and the search field.
DesignPanel(StepTree) - Constructor for class weka.gui.knowledgeflow.DesignPanel
Constructor
desiredWeightOfInstancesPerIntervalTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
dest - Variable in class weka.gui.graphvisualizer.GraphEdge
The index of target node in Nodes vector
destLbl - Variable in class weka.gui.graphvisualizer.GraphEdge
Label of target node
det() - Method in class weka.core.matrix.LUDecomposition
Determinant
det() - Method in class weka.core.matrix.Matrix
Matrix determinant
detectionPerAttributeTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the tip text for this property
determineBounds() - Method in class weka.gui.visualize.Plot2D
Determine the min and max values for axis and colouring attributes
determineClasses() - Static method in class weka.gui.GenericObjectEditor
 
determineColumnConstraints(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
determineColumnConstraints(ResultProducer) - Method in class weka.experiment.CSVResultListener
Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
determineColumnConstraints(ResultProducer) - Method in class weka.experiment.DatabaseResultListener
Determines if there are any constraints (imposed by the destination) on any additional measures produced by resultProducers.
determineColumnConstraints(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
determineColumnConstraints(ResultProducer) - Method in interface weka.experiment.ResultListener
Determines if there are any constraints (imposed by the destination) on additional result columns to be produced by resultProducers.
determineValues(Instances) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
determines the values to retain, it is always at least 1 and up to the maximum number of distinct values
DIAMOND_SHAPE - Static variable in class weka.gui.visualize.Plot2D
 
DictionaryBuilder - Class in weka.core
Class for building and maintaining a dictionary of terms.
DictionaryBuilder() - Constructor for class weka.core.DictionaryBuilder
 
dictionaryFileToSaveToTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Tip text for this property
DictionarySaver - Class in weka.core.converters
Writes a dictionary constructed from string attributes in incoming instances to a destination.
DictionarySaver() - Constructor for class weka.core.converters.DictionarySaver
 
differencesProbability - Variable in class weka.experiment.PairedStats
The probability of obtaining the observed differences
differencesSignificance - Variable in class weka.experiment.PairedStats
A significance indicator: 0 if the differences are not significant > 0 if x significantly greater than y < 0 if x significantly less than y
differencesStats - Variable in class weka.experiment.PairedStats
The stats associated with the paired differences
DIRECTED - Static variable in interface weka.gui.graphvisualizer.GraphConstants
Types of Edges
directionTipText() - Method in class weka.attributeSelection.BestFirst
Returns the tip text for this property
DirectoryFilter() - Constructor for class weka.core.ClassCache.DirectoryFilter
 
disable(Capabilities.Capability) - Method in class weka.core.Capabilities
disables the given capability Disabling NOMINAL_ATTRIBUTES also disables BINARY_ATTRIBUTES, UNARY_ATTRIBUTES and EMPTY_NOMINAL_ATTRIBUTES.
disable(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
disables the given capability.
DISABLE_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for package disablement
disableAll() - Method in class weka.core.Capabilities
disables all attribute and class types (including dependencies)
disableAllAttributeDependencies() - Method in class weka.core.Capabilities
disables all attribute type dependencies
disableAllAttributes() - Method in class weka.core.Capabilities
disables all attribute types
disableAllClassDependencies() - Method in class weka.core.Capabilities
disables all class type dependencies
disableAllClasses() - Method in class weka.core.Capabilities
disables all class types
disableAllPerspectiveTabs() - Method in class weka.gui.PerspectiveManager
Disable the tab/button for each visible perspective
DISABLED_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for package disablement
disableDependency(Capabilities.Capability) - Method in class weka.core.Capabilities
disables the dependency of the given capability Disabling NOMINAL_ATTRIBUTES also disables BINARY_ATTRIBUTES, UNARY_ATTRIBUTES and EMPTY_NOMINAL_ATTRIBUTES.
disableNot(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
disables the given "not to have" capability.
disableWidgets(String...) - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
 
disconnect(NeuralConnection, NeuralConnection) - Static method in class weka.classifiers.functions.neural.NeuralConnection
Disconnects two units.
DISCONNECT - Static variable in class weka.gui.sql.event.ConnectionEvent
it was a disconnect
disconnectFromDatabase() - Method in class weka.experiment.DatabaseUtils
Closes the connection to the database.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractDataSink
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractEvaluator
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event named
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTestSetProducer
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainingSetProducer
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Appender
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Associator
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in interface weka.gui.beans.BeanCommon
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ClassAssigner
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Classifier
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ClassValuePicker
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Clusterer
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in interface weka.gui.beans.ConnectionNotificationConsumer
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name This method should be implemented synchronized.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.CostBenefitAnalysis
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.CrossValidationFoldMaker
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.DataVisualizer
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Filter
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.FlowByExpression
 
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ImageSaver
 
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ImageViewer
 
disconnectionNotification(String, Object) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Join
Handles cleanup when an upstream step disconnects
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Loader
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.MetaBean
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ModelPerformanceChart
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.PredictionAppender
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.SerializedModelSaver
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Sorter
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.StripChart
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.SubstringLabeler
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.SubstringReplacer
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.TextSaver
 
disconnectionNotification(String, Object) - Method in class weka.gui.beans.TextViewer
Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.TrainTestSplitMaker
Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectStep(Step) - Method in class weka.knowledgeflow.StepManagerImpl
Remove the supplied step from connections (both incoming and outgoing of all types) for the step managed by this manager.
disconnectStepWithConnection(Step, String) - Method in class weka.knowledgeflow.StepManagerImpl
Disconnect the supplied step under the associated connection type from both the incoming and outgoing connections for the step managed by this manager.
DiscreteEstimator - Class in weka.estimators
Simple symbolic probability estimator based on symbol counts.
DiscreteEstimator() - Constructor for class weka.estimators.DiscreteEstimator
No-arg constructor needed to make WEKA's forName() work.
DiscreteEstimator(int, boolean) - Constructor for class weka.estimators.DiscreteEstimator
Constructor
DiscreteEstimator(int, double) - Constructor for class weka.estimators.DiscreteEstimator
Constructor
DiscreteEstimatorBayes - Class in weka.classifiers.bayes.net.estimate
Symbolic probability estimator based on symbol counts and a prior.
DiscreteEstimatorBayes(int, double) - Constructor for class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Constructor
DiscreteEstimatorFullBayes - Class in weka.classifiers.bayes.net.estimate
Symbolic probability estimator based on symbol counts and a prior.
DiscreteEstimatorFullBayes(int, double, double, DiscreteEstimatorBayes, DiscreteEstimatorBayes, double) - Constructor for class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
Constructor
Discretize - Class in weka.core.pmml
Class encapsulating a Discretize Expression.
Discretize(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.Discretize
Constructs a Discretize Expression
Discretize - Class in weka.core.pmml.jaxbbindings
Java class for Discretize element declaration.
Discretize() - Constructor for class weka.core.pmml.jaxbbindings.Discretize
 
Discretize - Class in weka.filters.supervised.attribute
An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
Discretize() - Constructor for class weka.filters.supervised.attribute.Discretize
Constructor - initialises the filter
Discretize - Class in weka.filters.unsupervised.attribute
An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
Discretize() - Constructor for class weka.filters.unsupervised.attribute.Discretize
Constructor - initialises the filter
Discretize(String) - Constructor for class weka.filters.unsupervised.attribute.Discretize
Another constructor, sets the attribute indices immediately
DiscretizeBin - Class in weka.core.pmml.jaxbbindings
Java class for DiscretizeBin element declaration.
DiscretizeBin() - Constructor for class weka.core.pmml.jaxbbindings.DiscretizeBin
 
DiscrStats - Class in weka.core.pmml.jaxbbindings
Java class for DiscrStats element declaration.
DiscrStats() - Constructor for class weka.core.pmml.jaxbbindings.DiscrStats
 
displayModelInOldFormatTipText() - Method in class weka.classifiers.bayes.NaiveBayes
Returns the tip text for this property
displayModelInOldFormatTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
displayResultset(int) - Method in class weka.experiment.PairedTTester
Checks whether the resultset with the given index shall be displayed.
displayResultset(int) - Method in interface weka.experiment.Tester
Checks whether the resultset with the given index shall be displayed.
displayRulesTipText() - Method in class weka.classifiers.rules.DecisionTable
Returns the tip text for this property
displayStdDevsTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
dispose() - Method in class weka.gui.GUIChooserApp.ChildFrameSDI
de-registers the child frame with the parent first.
dispose() - Method in class weka.gui.Main.ChildFrameMDI
de-registers the child frame with the parent first.
dispose() - Method in class weka.gui.Main.ChildFrameSDI
de-registers the child frame with the parent first.
dispose() - Method in class weka.gui.PropertyDialog
We need to extend the dispose method so that the member variables are set to null and the corresponding objects can be garbage collected.
dispose() - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
disposeSingleton() - Static method in class weka.gui.beans.KnowledgeFlowApp
 
disposeSplash() - Static method in class weka.gui.SplashWindow
Closes the splash window.
disposeWindow(JFrame, WindowAdapter) - Method in class weka.gui.GUIChooserApp
Disposes the given JFrame and removes it from the list of frames maintained by the GUIChooserApp.
distance(Instance, Instance) - Method in interface weka.core.DistanceFunction
Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in interface weka.core.DistanceFunction
Calculates the distance between two instances.
distance(Instance, Instance, double) - Method in interface weka.core.DistanceFunction
Calculates the distance between two instances.
distance(Instance, Instance, double, PerformanceStats) - Method in interface weka.core.DistanceFunction
Calculates the distance between two instances.
distance(Instance, Instance) - Method in class weka.core.EuclideanDistance
Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in class weka.core.EuclideanDistance
Calculates the distance (or similarity) between two instances.
distance(Instance, Instance) - Method in class weka.core.FilteredDistance
Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in class weka.core.FilteredDistance
Calculates the distance between two instances.
distance(Instance, Instance, double) - Method in class weka.core.FilteredDistance
Calculates the distance between two instances.
distance(Instance, Instance, double, PerformanceStats) - Method in class weka.core.FilteredDistance
Calculates the distance between two instances.
distance(Instance, Instance) - Method in class weka.core.MinkowskiDistance
Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in class weka.core.MinkowskiDistance
Calculates the distance (or similarity) between two instances.
distance(Instance, Instance) - Method in class weka.core.NormalizableDistance
Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in class weka.core.NormalizableDistance
Calculates the distance between two instances.
distance(Instance, Instance, double) - Method in class weka.core.NormalizableDistance
Calculates the distance between two instances.
distance(Instance, Instance, double, PerformanceStats) - Method in class weka.core.NormalizableDistance
Calculates the distance between two instances.
DistanceFunction - Interface in weka.core
Interface for any class that can compute and return distances between two instances.
distanceFunctionTipText() - Method in class weka.clusterers.HierarchicalClusterer
 
distanceFunctionTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
distanceFunctionTipText() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns the tip text for this property.
distanceIsBranchLengthTipText() - Method in class weka.clusterers.HierarchicalClusterer
 
distanceTipText() - Method in class weka.core.FilteredDistance
Returns the tip text for this property
distanceWeightingTipText() - Method in class weka.classifiers.lazy.IBk
Returns the tip text for this property.
distinctCount - Variable in class weka.core.AttributeStats
The number of distinct values
distMultTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
distributedExperimentSelected() - Method in class weka.gui.experiment.DistributeExperimentPanel
Returns true if the distribute experiment checkbox is selected
DistributeExperimentPanel - Class in weka.gui.experiment
This panel enables an experiment to be distributed to multiple hosts; it also allows remote host names to be specified.
DistributeExperimentPanel() - Constructor for class weka.gui.experiment.DistributeExperimentPanel
Constructor
DistributeExperimentPanel(Experiment) - Constructor for class weka.gui.experiment.DistributeExperimentPanel
Creates the panel with the supplied initial experiment.
distribution() - Method in class weka.classifiers.evaluation.NominalPrediction
Gets the predicted probabilities
distribution() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Returns the distribution of class values induced by the model.
Distribution - Class in weka.classifiers.trees.j48
Class for handling a distribution of class values.
Distribution(int, int) - Constructor for class weka.classifiers.trees.j48.Distribution
Creates and initializes a new distribution.
Distribution(double[][]) - Constructor for class weka.classifiers.trees.j48.Distribution
Creates and initializes a new distribution using the given array.
Distribution(Instances) - Constructor for class weka.classifiers.trees.j48.Distribution
Creates a distribution with only one bag according to instances in source.
Distribution(Instances, ClassifierSplitModel) - Constructor for class weka.classifiers.trees.j48.Distribution
Creates a distribution according to given instances and split model.
Distribution(Distribution) - Constructor for class weka.classifiers.trees.j48.Distribution
Creates distribution with only one bag by merging all bags of given distribution.
Distribution(Distribution, int) - Constructor for class weka.classifiers.trees.j48.Distribution
Creates distribution with two bags by merging all bags apart of the indicated one.
distributionForInstance(Instance) - Method in class weka.classifiers.AbstractClassifier
Predicts the class memberships for a given instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.BayesNet
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.NaiveBayes
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Calculates the class membership probabilities for the given test instance.
distributionForInstance(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Calculates the class membership probabilities for the given test instance.
distributionForInstance(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
Calculates the class membership probabilities for the given test instance.
distributionForInstance(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in interface weka.classifiers.Classifier
Predicts the class memberships for a given instance.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.Logistic
Computes the distribution for a given instance
distributionForInstance(Instance) - Method in class weka.classifiers.functions.MultilayerPerceptron
Call this function to predict the class of an instance once a classification model has been built with the buildClassifier call.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.SGD
Computes the distribution for a given instance
distributionForInstance(Instance) - Method in class weka.classifiers.functions.SGDText
 
distributionForInstance(Instance) - Method in class weka.classifiers.functions.SimpleLogistic
Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.SMO
Estimates class probabilities for given instance.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.VotedPerceptron
Outputs the distribution for the given output.
distributionForInstance(Instance) - Method in class weka.classifiers.lazy.IBk
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.lazy.KStar
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.lazy.LWL
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.AdaBoostM1
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Classifies a given instance after attribute selection
distributionForInstance(Instance) - Method in class weka.classifiers.meta.Bagging
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.ClassificationViaRegression
Returns the distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Returns class probabilities.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.CVParameterSelection
Predicts the class distribution for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.FilteredClassifier
Classifies a given instance after filtering.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the class distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.LogitBoost
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.MultiClassClassifier
Returns the distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
Returns the distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.MultiScheme
Returns class probabilities.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.RandomCommittee
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.RandomSubSpace
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.Stacking
Returns estimated class probabilities for the given instance if the class is nominal and a one-element array containing the numeric prediction if the class is numeric.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.Vote
Classifies a given instance using the selected combination rule.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.misc.InputMappedClassifier
 
distributionForInstance(Instance) - Method in class weka.classifiers.misc.SerializedClassifier
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.GeneralRegression
Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.NeuralNetwork
Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.Regression
Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.RuleSetModel
Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.SupportVectorMachineModel
Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.TreeModel
Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.DecisionTable
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.JRip
Classify the test instance with the rule learner and provide the class distributions
distributionForInstance(Instance) - Method in class weka.classifiers.rules.part.ClassifierDecList
Returns class probabilities for a weighted instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.PART
Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.part.MakeDecList
Returns the class distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.ZeroR
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.DecisionStump
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.HoeffdingTree
Returns class probabilities for an instance.
distributionForInstance(Instance, boolean) - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns class probabilities for a weighted instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.J48
Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.LMT
Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.lmt.LMTNode
Returns the class probabilities for an instance given by the logistic model tree.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.lmt.LogisticBase
Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.RandomTree
Computes class distribution of an instance using the tree.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.REPTree
Computes class distribution of an instance using the tree.
distributionForInstance(Instance) - Method in class weka.clusterers.AbstractClusterer
Predicts the cluster memberships for a given instance.
distributionForInstance(Instance) - Method in class weka.clusterers.AbstractDensityBasedClusterer
Returns the cluster probability distribution for an instance.
distributionForInstance(Instance) - Method in class weka.clusterers.Canopy
 
distributionForInstance(Instance) - Method in interface weka.clusterers.Clusterer
Predicts the cluster memberships for a given instance.
distributionForInstance(Instance) - Method in interface weka.clusterers.DensityBasedClusterer
Returns the cluster probability distribution for an instance.
distributionForInstance(Instance) - Method in class weka.clusterers.FilteredClusterer
Classifies a given instance after filtering.
distributionForInstance(Instance) - Method in class weka.clusterers.HierarchicalClusterer
 
distributionsByOriginalIndex(double[]) - Method in class weka.filters.supervised.attribute.ClassOrder
Convert the given class distribution back to the distributions with the original internal class index
distributionsForInstances(Instances) - Method in class weka.classifiers.AbstractClassifier
Batch prediction method.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Batch scoring method.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.Bagging
Batch scoring method.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.ClassificationViaRegression
Returns predictions for a whole set of instances.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Batch scoring method.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
Batch scoring method.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.LogitBoost
Calculates the class membership probabilities for the given test instances.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.RandomCommittee
Batch scoring method.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.RandomSubSpace
Batch scoring method.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.Stacking
Returns class probabilities for all given instances if the class is nominal or corresponding predicted numeric values if the class is numeric.
distributionsForInstances(Instances) - Method in interface weka.core.BatchPredictor
Batch scoring method
distributionSpreadTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns the tip text for this property
distributionTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns the tip text for this property
divergence(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
calculates the divergence between the probability distribution represented by this network and that of another, that is, \sum_{x\in X} P(x)log P(x)/Q(x) where X is the set of values the nodes in the network can take, P(x) the probability of this network for configuration x Q(x) the probability of the other network for configuration x
divide(Instances, boolean) - Static method in class weka.associations.LabeledItemSet
Splits the class attribute away.
dividedBy(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Divided by another DoubleVector element by element
dividedByEquals(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Divided by another DoubleVector element by element in place
division(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'/' division operator
DIVISION - Static variable in interface weka.core.expressionlanguage.parser.sym
 
DKConditionalEstimator - Class in weka.estimators
Conditional probability estimator for a discrete domain conditional upon a numeric domain.
DKConditionalEstimator() - Constructor for class weka.estimators.DKConditionalEstimator
No-arg constructor needed to make WEKA's forName() work.
DKConditionalEstimator(int, double) - Constructor for class weka.estimators.DKConditionalEstimator
Constructor
dl(int) - Method in class weka.core.Debug.DBO
Return true if the debug level is set same method as outpuTypeSet but better name
DNConditionalEstimator - Class in weka.estimators
Conditional probability estimator for a discrete domain conditional upon a numeric domain.
DNConditionalEstimator() - Constructor for class weka.estimators.DNConditionalEstimator
No-arg constructor needed to make WEKA's forName() work.
DNConditionalEstimator(int, double) - Constructor for class weka.estimators.DNConditionalEstimator
Constructor
dnorm(double) - Static method in class weka.core.matrix.Maths
Returns the density of the standard normal.
dnorm(double, double, double) - Static method in class weka.core.matrix.Maths
Returns the density value of a standard normal.
dnorm(double, DoubleVector, double) - Static method in class weka.core.matrix.Maths
Returns the density values of a set of normal distributions with different means.
dnormLog(double) - Static method in class weka.core.matrix.Maths
Returns the log-density of the standard normal.
dnormLog(double, double, double) - Static method in class weka.core.matrix.Maths
Returns the log-density value of a standard normal.
dnormLog(double, DoubleVector, double) - Static method in class weka.core.matrix.Maths
Returns the log-density values of a set of normal distributions with different means.
do_action(int, lr_parser, Stack, int) - Method in class weka.core.expressionlanguage.parser.Parser
Invoke a user supplied parse action.
do_action(int, lr_parser, Stack, int) - Method in class weka.core.json.Parser
Invoke a user supplied parse action.
DO_NOT_LOAD_IF_CLASS_NOT_PRESENT_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for preventing load if a class is not available
DO_NOT_LOAD_IF_CLASS_NOT_PRESENT_MESSAGE_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for preventing load if a class is not available
DO_NOT_LOAD_IF_ENV_VAR_NOT_SET_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for preventing load if an environment variable is not set
DO_NOT_LOAD_IF_ENV_VAR_NOT_SET_MESSAGE_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for preventing load if an environment variable is not set
DO_NOT_LOAD_IF_FILE_NOT_PRESENT_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for preventing load if a file is not present
DO_NOT_LOAD_IF_FILE_NOT_PRESENT_MESSAGE_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for preventing load if a file is not present
doCommandlineCompletion(KeyEvent) - Method in class weka.gui.SimpleCLIPanel
performs commandline completion on packages and classnames.
DOCTYPE - Static variable in class weka.core.xml.XMLInstances
the DTD
DOCTYPE - Static variable in class weka.core.xml.XMLOptions
the DTD for the XML file.
DOCTYPE - Static variable in class weka.core.xml.XMLSerialization
the DOCTYPE for the serialization
DocumentPrinting - Class in weka.gui
DocumentPrinting is a class that lets you print documents on the fly for free ;) Printing in JDK 1.2 - 1.5 is hard.
DocumentPrinting() - Constructor for class weka.gui.DocumentPrinting
Initializes the printing.
DocumentTermMatrix - Class in weka.core.pmml.jaxbbindings
Java class for DocumentTermMatrix element declaration.
DocumentTermMatrix() - Constructor for class weka.core.pmml.jaxbbindings.DocumentTermMatrix
 
doHistory(KeyEvent) - Method in class weka.gui.SimpleCLIPanel
Changes the currently displayed command line when certain keys are pressed.
doLayout() - Method in class weka.gui.beans.EnvironmentField.WideComboBox
Deprecated.
 
doLayout() - Method in class weka.gui.EnvironmentField.WideComboBox
 
doLayout() - Method in class weka.gui.knowledgeflow.LayoutPanel
 
doMetaConnection(BeanInstance, BeanInstance, EventSetDescriptor, JComponent, int) - Static method in class weka.gui.beans.BeanConnection
 
done() - Method in class weka.classifiers.functions.MultilayerPerceptron
Signal end of iterating, useful for any house-keeping/cleanup
done() - Method in interface weka.classifiers.IterativeClassifier
Signal end of iterating, for either the time being or permanently if setFinalized(true) has been called.
done() - Method in class weka.classifiers.meta.AdaBoostM1
Clean up after boosting.
done() - Method in class weka.classifiers.meta.AdditiveRegression
Clean up.
done() - Method in class weka.classifiers.meta.FilteredClassifier
Signal end of iterating, useful for any house-keeping/cleanup (If the base classifier supports this.)
done() - Method in class weka.classifiers.meta.LogitBoost
Clean up after boosting.
done() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Signal that a scoring run has been completed.
doNotCheckCapabilities() - Method in class weka.core.Capabilities
Does owner implement CapabilitiesIgnorer and does it not want capability checking to be performed?
doNotCheckCapabilitiesTipText() - Method in class weka.associations.AbstractAssociator
Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.attributeSelection.ASEvaluation
Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.classifiers.AbstractClassifier
Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.clusterers.AbstractClusterer
Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.core.converters.AbstractSaver
Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.estimators.Estimator
Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.filters.Filter
Returns the tip text for this property
doNotCheckForModifiedClassAttributeTipText() - Method in class weka.classifiers.meta.FilteredClassifier
Returns the tip text for this property
doNotMakeSplitPointActualValueTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
doNotMakeSplitPointActualValueTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
doNotMakeSplitPointActualValueTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
doNotOperateOnPerClassBasisTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
doNotOperateOnPerClassBasisTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
doNotPrintModelsTipText() - Method in class weka.classifiers.meta.Vote
Returns the tip text for this property
doNotStandardizeAttributesTipText() - Method in class weka.classifiers.functions.Logistic
Returns the tip text for this property
dontFilterAfterFirstBatchTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the tip text for this property.
dontNormalizeTipText() - Method in class weka.classifiers.functions.SGD
Returns the tip text for this property
dontNormalizeTipText() - Method in class weka.core.NormalizableDistance
Returns the tip text for this property.
dontReplaceMissingTipText() - Method in class weka.classifiers.functions.SGD
Returns the tip text for this property
dontReplaceMissingValuesTipText() - Method in class weka.clusterers.Canopy
Returns the tip text for this property.
dontReplaceMissingValuesTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
dontShowOKCancelButtons() - Method in interface weka.gui.beans.GOECustomizer
Tells the customizer not to display its own OK and CANCEL buttons
dontShowOKCancelButtons() - Method in class weka.gui.filters.AddUserFieldsCustomizer
Tell this customizer not to show its own OK and Cancel buttons.
doRun(int) - Method in class weka.experiment.AveragingResultProducer
Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.CrossValidationResultProducer
Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.CrossValidationSplitResultProducer
Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.DatabaseResultProducer
Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.LearningRateResultProducer
Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.RandomSplitResultProducer
Gets the results for a specified run number.
doRun(int) - Method in interface weka.experiment.ResultProducer
Gets the results for a specified run number.
doRunKeys(int) - Method in class weka.experiment.AveragingResultProducer
Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.CrossValidationResultProducer
Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.CrossValidationSplitResultProducer
Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.DatabaseResultProducer
Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.LearningRateResultProducer
Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.RandomSplitResultProducer
Gets the keys for a specified run number.
doRunKeys(int) - Method in interface weka.experiment.ResultProducer
Gets the keys for a specified run number.
doTests() - Method in class weka.associations.CheckAssociator
Begin the tests, reporting results to System.out
doTests() - Method in class weka.attributeSelection.CheckAttributeSelection
Begin the tests, reporting results to System.out
doTests() - Method in class weka.classifiers.CheckClassifier
Begin the tests, reporting results to System.out
doTests() - Method in class weka.classifiers.functions.supportVector.CheckKernel
Begin the tests, reporting results to System.out
doTests() - Method in class weka.clusterers.CheckClusterer
Begin the tests, reporting results to System.out
doTests() - Method in class weka.core.Check
Begin the tests, reporting results to System.out
doTests() - Method in class weka.core.CheckGOE
Runs some diagnostic tests on the object.
doTests() - Method in class weka.core.CheckOptionHandler
Runs some diagnostic tests on an optionhandler object.
doTests() - Method in class weka.core.CheckScheme
Begin the tests, reporting results to System.out
doTests() - Method in class weka.estimators.CheckEstimator
Begin the tests, reporting results to System.out
dotMultiply(AlgVector) - Method in class weka.core.AlgVector
Returns the inner (or dot) product of two vectors
DotParser - Class in weka.gui.graphvisualizer
This class parses input in DOT format, and builds the datastructures that are passed to it.
DotParser(Reader, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Constructor for class weka.gui.graphvisualizer.DotParser
Dot parser Constructor
dotProduct(VectorInstance) - Method in class weka.core.pmml.VectorInstance
Computes the dot product between this vector instance and the argument
dotProduct(double[]) - Method in class weka.core.pmml.VectorInstance
Computes the dot product between this vector instance and the supplied array of values
DOUBLE - Static variable in interface weka.core.json.sym
 
DOUBLE - Static variable in class weka.experiment.DatabaseUtils
Type mapping for DOUBLE used for reading experiment results.
DOUBLE - Static variable in interface weka.gui.graphvisualizer.GraphConstants
Types of Edges
DoubleConstant(double) - Constructor for class weka.core.expressionlanguage.common.Primitives.DoubleConstant
 
doubleToString(double, int) - Static method in class weka.core.Utils
Rounds a double and converts it into String.
doubleToString(double, int, int) - Static method in class weka.core.Utils
Rounds a double and converts it into a formatted decimal-justified String.
DoubleVariable(String) - Constructor for class weka.core.expressionlanguage.common.Primitives.DoubleVariable
 
DoubleVector - Class in weka.core.matrix
A vector specialized on doubles.
DoubleVector() - Constructor for class weka.core.matrix.DoubleVector
Constructs a null vector.
DoubleVector(int) - Constructor for class weka.core.matrix.DoubleVector
Constructs an n-vector of zeros.
DoubleVector(int, double) - Constructor for class weka.core.matrix.DoubleVector
Constructs a constant n-vector.
DoubleVector(double[]) - Constructor for class weka.core.matrix.DoubleVector
Constructs a vector directly from a double array
dp(String) - Method in class weka.core.Debug.DBO
prints out text if verbose is on.
dp(int, String) - Method in class weka.core.Debug.DBO
prints out text but only if debug level is set.
dpln(String) - Method in class weka.core.Debug.DBO
prints out text + endofline if verbose is on.
dpln(int, String) - Method in class weka.core.Debug.DBO
prints out text + endofline but only if parameter debug type is set.
draw(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
 
draw3DRect(int, int, int, int, boolean) - Method in class weka.gui.visualize.PostscriptGraphics
Draw an outlined rectangle with 3D effect in current pen color.
Drawable - Interface in weka.core
Interface to something that can be drawn as a graph.
drawArc(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
drawBytes(byte[], int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
simply calls drawString(String,int,int)
drawChars(char[], int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
simply calls drawString(String,int,int)
drawGlyphVector(GlyphVector, float, float) - Method in class weka.gui.visualize.PostscriptGraphics
 
drawHighlight(Graphics, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this function to draw the node highlighted.
drawImage(Image, int, int, Color, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
calls drawImage(Image,int,int,int,int,Color,ImageObserver)
drawImage(Image, int, int, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
calls drawImage(Image,int,int,Color,ImageObserver) with Color.WHITE as background color
drawImage(Image, int, int, int, int, Color, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
PS see http://astronomy.swin.edu.au/~pbourke/geomformats/postscript/ Java http ://show.docjava.com:8086/book/cgij/doc/ip/graphics/SimpleImageFrame.java .html
drawImage(Image, int, int, int, int, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
calls drawImage(Image,int,int,int,int,Color,ImageObserver) with the color WHITE as background
drawImage(Image, int, int, int, int, int, int, int, int, Color, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
drawImage(Image, int, int, int, int, int, int, int, int, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
calls drawImage(Image,int,int,int,int,int,int,int,int,Color,ImageObserver) with Color.WHITE as background color
drawImage(BufferedImage, BufferedImageOp, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
 
drawImage(Image, AffineTransform, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
 
drawInputLines(Graphics, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this function to draw the nodes input connections.
drawLine(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Draw a line in current pen color.
drawNode(Graphics, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this function to draw the node.
drawOutputLines(Graphics, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this function to draw the nodes output connections.
drawOval(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Draw an Oval outline in current pen color.
drawPolygon(int[], int[], int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
drawPolyline(int[], int[], int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
drawRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Draw an outlined rectangle in current pen color.
drawRenderableImage(RenderableImage, AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
 
drawRenderedImage(RenderedImage, AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
 
drawRoundRect(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
drawSortedDenseSample(int, int, Random) - Static method in class weka.core.RandomSample
Draws a sorted list of n distinct integers from 0, 1, ..., N - 1 based on the simple Algorithm A in
drawSortedSample(int, int, Random) - Static method in class weka.core.RandomSample
Returns a sorted list of n distinct integers that are randomly chosen from 0, 1, ..., N - 1.
drawSortedSparseSample(int, int, Random) - Static method in class weka.core.RandomSample
Draws a sorted list of n distinct integers from 0, 1, ..., N - 1 based on drawSparseSample() followed by radix sort.
drawSparseSample(int, int, Random) - Static method in class weka.core.RandomSample
Draws n distinct integers from 0, 1, ..., N - 1, randomly ordered, using a partial Fisher-Yates shuffle and a hash map.
drawString(AttributedCharacterIterator, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
drawString(String, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Draw text in current pen color.
drawString(AttributedCharacterIterator, float, float) - Method in class weka.gui.visualize.PostscriptGraphics
 
drawString(String, float, float) - Method in class weka.gui.visualize.PostscriptGraphics
 
DTD - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the DTD.
DTD_ANY - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the ANY placeholder.
DTD_ANY - Static variable in class weka.core.xml.XMLDocument
the ANY placeholder.
DTD_AT_LEAST_ONE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the at least one marker.
DTD_AT_LEAST_ONE - Static variable in class weka.core.xml.XMLDocument
the at least one marker.
DTD_ATTLIST - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the AttList definition.
DTD_ATTLIST - Static variable in class weka.core.xml.XMLDocument
the AttList definition.
DTD_CDATA - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the CDATA placeholder.
DTD_CDATA - Static variable in class weka.core.xml.XMLDocument
the CDATA placeholder.
DTD_DOCTYPE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the DocType definition.
DTD_DOCTYPE - Static variable in class weka.core.xml.XMLDocument
the DocType definition.
DTD_ELEMENT - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the Element definition.
DTD_ELEMENT - Static variable in class weka.core.xml.XMLDocument
the Element definition.
DTD_IMPLIED - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the #IMPLIED placeholder.
DTD_IMPLIED - Static variable in class weka.core.xml.XMLDocument
the #IMPLIED placeholder.
DTD_OPTIONAL - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the optional marker.
DTD_OPTIONAL - Static variable in class weka.core.xml.XMLDocument
the optional marker.
DTD_PCDATA - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the #PCDATA placeholder.
DTD_PCDATA - Static variable in class weka.core.xml.XMLDocument
the #PCDATA placeholder.
DTD_REQUIRED - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the #REQUIRED placeholder.
DTD_REQUIRED - Static variable in class weka.core.xml.XMLDocument
the #REQUIRED placeholder.
DTD_SEPARATOR - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the option separator.
DTD_SEPARATOR - Static variable in class weka.core.xml.XMLDocument
the option separator.
DTD_ZERO_OR_MORE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the zero or more marker.
DTD_ZERO_OR_MORE - Static variable in class weka.core.xml.XMLDocument
the zero or more marker.
Dummy - Class in weka.knowledgeflow.steps
A "dummy" no-op step
Dummy() - Constructor for class weka.knowledgeflow.steps.Dummy
 
dumpDistribution() - Method in class weka.classifiers.trees.j48.Distribution
Prints distribution.
dumpLabel(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Prints label for subset index of instances (eg class).
dumpModel(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Prints the split model.

E

EAST_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
 
Echo - Class in weka.gui.simplecli
Outputs a message.
Echo() - Constructor for class weka.gui.simplecli.Echo
 
Edge - Class in weka.gui.treevisualizer
This class is used in conjunction with the Node class to form a tree structure.
Edge(String, String, String) - Constructor for class weka.gui.treevisualizer.Edge
This constructs an Edge with the specified label and parent , child serial tags.
edges - Variable in class weka.gui.graphvisualizer.GraphNode
The indices of nodes to which there are edges from this node, plus the type of edge
edit() - Method in class weka.gui.explorer.PreprocessPanel
edits the current instances object in the viewer
EditableBayesNet - Class in weka.classifiers.bayes.net
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier.
EditableBayesNet() - Constructor for class weka.classifiers.bayes.net.EditableBayesNet
standard constructor *
EditableBayesNet(Instances) - Constructor for class weka.classifiers.bayes.net.EditableBayesNet
constructor, creates empty network with nodes based on the attributes in a data set
EditableBayesNet(BIFReader) - Constructor for class weka.classifiers.bayes.net.EditableBayesNet
constructor, copies Bayesian network structure from a Bayesian network encapsulated in a BIFReader
EditableBayesNet(boolean) - Constructor for class weka.classifiers.bayes.net.EditableBayesNet
constructor that potentially initializes instances as well
editableProperties() - Method in class weka.gui.PropertySheetPanel
Gets the number of editable properties for the current target.
eig() - Method in class weka.core.matrix.Matrix
Eigenvalue Decomposition
EigenvalueDecomposition - Class in weka.core.matrix
Eigenvalues and eigenvectors of a real matrix.
eigenvalueDecomposition(double[][], double[]) - Method in class weka.core.Matrix
Deprecated.
Performs Eigenvalue Decomposition using Householder QR Factorization Matrix must be symmetrical.
EigenvalueDecomposition(Matrix) - Constructor for class weka.core.matrix.EigenvalueDecomposition
Check for symmetry, then construct the eigenvalue decomposition
element(int) - Method in class weka.core.neighboursearch.covertrees.Stack
Returns the ith element in the stack.
elementAt(int) - Method in class weka.core.FastVector
Deprecated.
Returns the element at the given position.
elementAt(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Returns the component at the specified index.
elements() - Method in class weka.core.FastVector
Deprecated.
Returns an enumeration of this vector.
elements(int) - Method in class weka.core.FastVector
Deprecated.
Returns an enumeration of this vector, skipping the element with the given index.
elements - Variable in class weka.core.neighboursearch.covertrees.Stack
The elements inside the stack.
elements() - Method in class weka.core.Stopwords
Returns a sorted enumeration over all stored stopwords
eliminateColinearAttributesTipText() - Method in class weka.classifiers.functions.LinearRegression
Returns the tip text for this property
EM - Class in weka.clusterers
Simple EM (expectation maximisation) class.

EM assigns a probability distribution to each instance which indicates the probability of it belonging to each of the clusters.
EM() - Constructor for class weka.clusterers.EM
Constructor.
empty() - Method in class weka.core.Queue
Checks if queue is empty.
empty() - Method in class weka.gui.scripting.Script
Empties the document.
enable(Capabilities.Capability) - Method in class weka.core.Capabilities
enables the given capability.
enable(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
enables the given capability.
ENABLE_UNDO - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
ENABLE_UNDO_KEY - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
enableAll() - Method in class weka.core.Capabilities
enables all attribute and class types (including dependencies)
enableAllAttributeDependencies() - Method in class weka.core.Capabilities
enables all attribute type dependencies
enableAllAttributes() - Method in class weka.core.Capabilities
enables all attribute types
enableAllClassDependencies() - Method in class weka.core.Capabilities
enables all class type dependencies
enableAllClasses() - Method in class weka.core.Capabilities
enables all class types
enableAllPerspectiveTabs() - Method in class weka.gui.PerspectiveManager
Enable the tab/button for each visible perspective
enableDependency(Capabilities.Capability) - Method in class weka.core.Capabilities
enables the dependency flag for the given capability Enabling NOMINAL_ATTRIBUTES also enables BINARY_ATTRIBUTES, UNARY_ATTRIBUTES and EMPTY_NOMINAL_ATTRIBUTES.
enableNot(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
enables the given "not to have" capability.
enableWidget(String, boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
Enable/disable a named widget
enableWidgets(String...) - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
 
enclosureCharactersTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
entriesDeleted(List<String>, List<Integer>) - Method in interface weka.gui.ResultHistoryPanel.RDeleteListener
 
entropicAutoBlendTipText() - Method in class weka.classifiers.lazy.KStar
Returns the tip text for this property
ENTROPY - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
 
entropy(double[]) - Static method in class weka.core.ContingencyTables
Computes the entropy of the given array.
EntropyBasedSplitCrit - Class in weka.classifiers.trees.j48
"Abstract" class for computing splitting criteria based on the entropy of a class distribution.
EntropyBasedSplitCrit() - Constructor for class weka.classifiers.trees.j48.EntropyBasedSplitCrit
 
entropyConditionedOnColumns(double[][]) - Static method in class weka.core.ContingencyTables
Computes conditional entropy of the rows given the columns.
entropyConditionedOnRows(double[][]) - Static method in class weka.core.ContingencyTables
Computes conditional entropy of the columns given the rows.
entropyConditionedOnRows(double[][], double[][], double) - Static method in class weka.core.ContingencyTables
Computes conditional entropy of the columns given the rows of the test matrix with respect to the train matrix.
entropyGain() - Method in class weka.classifiers.trees.lmt.ResidualSplit
Computes entropy gain for current split.
entropyOverColumns(double[][]) - Static method in class weka.core.ContingencyTables
Computes the columns' entropy for the given contingency table.
entropyOverRows(double[][]) - Static method in class weka.core.ContingencyTables
Computes the rows' entropy for the given contingency table.
EntropySplitCrit - Class in weka.classifiers.trees.j48
Class for computing the entropy for a given distribution.
EntropySplitCrit() - Constructor for class weka.classifiers.trees.j48.EntropySplitCrit
 
entryDeleted(String, int) - Method in interface weka.gui.ResultHistoryPanel.RDeleteListener
Called when an entry in the list is deleted
ENUM_HELPER - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
enumerateAttributes() - Method in class weka.core.AbstractInstance
Returns an enumeration of all the attributes.
enumerateAttributes() - Method in interface weka.core.Instance
Returns an enumeration of all the attributes.
enumerateAttributes() - Method in class weka.core.Instances
Returns an enumeration of all the attributes.
enumerateColNamesTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
enumerateInstances() - Method in class weka.core.Instances
Returns an enumeration of all instances in the dataset.
enumerateMeasures() - Method in class weka.classifiers.bayes.BayesNet
Returns an enumeration of the measure names.
enumerateMeasures() - Method in class weka.classifiers.functions.SimpleLogistic
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.functions.SMOreg
Returns an enumeration of the measure names.
enumerateMeasures() - Method in class weka.classifiers.lazy.IBk
Returns an enumeration of the additional measure names produced by the neighbour search algorithm, plus the chosen K in case cross-validation is enabled.
enumerateMeasures() - Method in class weka.classifiers.lazy.LWL
Returns an enumeration of the additional measure names produced by the neighbour search algorithm.
enumerateMeasures() - Method in class weka.classifiers.meta.AdditiveRegression
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.meta.Bagging
Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.rules.DecisionTable
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.rules.JRip
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.rules.PART
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.trees.J48
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.trees.LMT
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.trees.m5.M5Base
Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.trees.REPTree
Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in interface weka.core.AdditionalMeasureProducer
Returns an enumeration of the measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.BallTree
Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.CoverTree
Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.KDTree
Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.PerformanceStats
Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.experiment.AveragingResultProducer
Returns an enumeration of any additional measure names that might be in the result producer
enumerateMeasures() - Method in class weka.experiment.ClassifierSplitEvaluator
Returns an enumeration of any additional measure names that might be in the classifier
enumerateMeasures() - Method in class weka.experiment.CrossValidationResultProducer
Returns an enumeration of any additional measure names that might be in the SplitEvaluator
enumerateMeasures() - Method in class weka.experiment.DatabaseResultProducer
Returns an enumeration of any additional measure names that might be in the result producer
enumerateMeasures() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns an enumeration of any additional measure names that might be in the classifier
enumerateMeasures() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns an enumeration of any additional measure names that might be in the SplitEvaluator.
enumerateMeasures() - Method in class weka.experiment.LearningRateResultProducer
Returns an enumeration of any additional measure names that might be in the result producer
enumerateMeasures() - Method in class weka.experiment.RandomSplitResultProducer
Returns an enumeration of any additional measure names that might be in the SplitEvaluator
enumerateMeasures() - Method in class weka.experiment.RegressionSplitEvaluator
Returns an enumeration of any additional measure names that might be in the classifier
enumerateRequests() - Method in class weka.gui.beans.Associator
Return an enumeration of requests that can be made by the user
enumerateRequests() - Method in class weka.gui.beans.AttributeSummarizer
Return an enumeration of actions that the user can ask this bean to perform
enumerateRequests() - Method in class weka.gui.beans.Classifier
Return an enumeration of requests that can be made by the user
enumerateRequests() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Return an enumeration of user activated requests for this bean
enumerateRequests() - Method in class weka.gui.beans.Clusterer
Return an enumeration of requests that can be made by the user
enumerateRequests() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Return an enumeration of user activated requests for this bean
enumerateRequests() - Method in class weka.gui.beans.CostBenefitAnalysis
 
enumerateRequests() - Method in class weka.gui.beans.CrossValidationFoldMaker
Return an enumeration of user requests
enumerateRequests() - Method in class weka.gui.beans.DataVisualizer
Describe enumerateRequests method here.
enumerateRequests() - Method in class weka.gui.beans.Filter
Return an enumeration of user requests
enumerateRequests() - Method in class weka.gui.beans.GraphViewer
Return an enumeration of user requests
enumerateRequests() - Method in class weka.gui.beans.ImageViewer
 
enumerateRequests() - Method in class weka.gui.beans.MetaBean
Return an enumeration of requests that can be made by the user
enumerateRequests() - Method in class weka.gui.beans.ModelPerformanceChart
Describe enumerateRequests method here.
enumerateRequests() - Method in class weka.gui.beans.StripChart
Describe enumerateRequests method here.
enumerateRequests() - Method in class weka.gui.beans.TextViewer
Get a list of user requests
enumerateRequests() - Method in class weka.gui.beans.TrainTestSplitMaker
Get list of user requests
enumerateRequests() - Method in interface weka.gui.beans.UserRequestAcceptor
Get a list of performable requests
enumerateRowNamesTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
enumerateValues() - Method in class weka.core.Attribute
Returns an enumeration of all the attribute's values if the attribute is nominal, string, or relation-valued, null otherwise.
EnumHelper - Class in weka.core
Helper/wrapper class for obtaining an arbitrary enum value from an arbitrary enum type.
EnumHelper(Enum) - Constructor for class weka.core.EnumHelper
Constructor
EnumHelper() - Constructor for class weka.core.EnumHelper
No-op constructor (for beans conformity)
enumToVector(Enumeration<Option>) - Method in class weka.datagenerators.DataGenerator
Convenience method.
Environment - Class in weka.core
This class encapsulates a map of all environment and java system properties.
Environment() - Constructor for class weka.core.Environment
Constructs a new Environment object with all environment variables and java properties set.
Environment(Environment) - Constructor for class weka.core.Environment
Constructor that makes a new Environment object containing all the entries in the supplied one
EnvironmentField - Class in weka.gui.beans
Deprecated.
EnvironmentField() - Constructor for class weka.gui.beans.EnvironmentField
Deprecated.
Construct an EnvironmentField with no label.
EnvironmentField(Environment) - Constructor for class weka.gui.beans.EnvironmentField
Deprecated.
Construct an EnvironmentField with no label.
EnvironmentField(String, Environment) - Constructor for class weka.gui.beans.EnvironmentField
Deprecated.
Constructor.
EnvironmentField(String) - Constructor for class weka.gui.beans.EnvironmentField
Deprecated.
Constructor.
EnvironmentField - Class in weka.gui
Widget that displays a label and a combo box for selecting environment variables.
EnvironmentField() - Constructor for class weka.gui.EnvironmentField
Construct an EnvironmentField with no label.
EnvironmentField(Environment) - Constructor for class weka.gui.EnvironmentField
Construct an EnvironmentField with no label.
EnvironmentField(String, Environment) - Constructor for class weka.gui.EnvironmentField
Constructor.
EnvironmentField(String) - Constructor for class weka.gui.EnvironmentField
Constructor.
EnvironmentField.WideComboBox - Class in weka.gui.beans
Deprecated.
Combo box that allows the drop-down list to be wider than the component itself.
EnvironmentField.WideComboBox - Class in weka.gui
Combo box that allows the drop-down list to be wider than the component itself.
EnvironmentHandler - Interface in weka.core
Interface for something that can utilize environment variables.
EnvironmentProperties - Class in weka.core
Extends Properties to allow the value of a system property (if set) to override that which has been loaded/set.
EnvironmentProperties() - Constructor for class weka.core.EnvironmentProperties
 
EnvironmentProperties(Properties) - Constructor for class weka.core.EnvironmentProperties
 
environmentSubstitute(String) - Method in class weka.gui.knowledgeflow.StepEditorDialog
Substitute the values of any environment variables present in the supplied string
environmentSubstitute(String) - Method in class weka.gui.knowledgeflow.VisibleLayout
 
environmentSubstitute(String) - Method in interface weka.knowledgeflow.StepManager
Substitute all known environment variables in the given string
environmentSubstitute(String) - Method in class weka.knowledgeflow.StepManagerImpl
Substitute the values of environment variables in the given string
environmentSubstitute(String) - Method in class weka.knowledgeflow.steps.BaseStep
Substitute the values of environment variables in the given string
EOF - Static variable in interface weka.core.expressionlanguage.parser.sym
 
EOF - Static variable in interface weka.core.json.sym
 
EOF_sym() - Method in class weka.core.expressionlanguage.parser.Parser
EOF Symbol index.
EOF_sym() - Method in class weka.core.json.Parser
EOF Symbol index.
EPANECHNIKOV - Static variable in class weka.classifiers.lazy.LWL
 
epochsTipText() - Method in class weka.classifiers.functions.SGD
Returns the tip text for this property
epochsTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
EPSILON - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
EPSILON_INSENSITIVE - Static variable in class weka.classifiers.functions.SGD
The epsilon insensitive loss function
epsilonParameterTipText() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Returns the tip text for this property
epsilonTipText() - Method in class weka.classifiers.functions.SGD
Returns the tip text for this property
epsilonTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
epsilonTipText() - Method in class weka.classifiers.functions.supportVector.RegSMO
Returns the tip text for this property
eq(double, double) - Static method in class weka.core.Utils
Tests if a is equal to b.
equal(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'=' equal operator
EQUAL - Static variable in interface weka.core.expressionlanguage.parser.sym
 
equalCondset(Object) - Method in class weka.associations.LabeledItemSet
Compares two item sets
equalHeaders(Instance) - Method in class weka.core.AbstractInstance
Tests if the headers of two instances are equivalent.
equalHeaders(Instance) - Method in interface weka.core.Instance
Tests if the headers of two instances are equivalent.
equalHeaders(Instances) - Method in class weka.core.Instances
Checks if two headers are equivalent.
equalHeadersMsg(Instance) - Method in class weka.core.AbstractInstance
Checks if the headers of two instances are equivalent.
equalHeadersMsg(Instance) - Method in interface weka.core.Instance
Checks if the headers of two instances are equivalent.
equalHeadersMsg(Instances) - Method in class weka.core.Instances
Checks if two headers are equivalent.
equals(Object) - Method in class weka.associations.AssociationRule
Return true if this rule is equal to the supplied one.
equals(Object) - Method in class weka.associations.AssociatorEvaluation
Tests whether the current evaluation object is equal to another evaluation object
equals(Object) - Method in class weka.associations.BinaryItem
Equals.
equals(Object) - Method in class weka.associations.Item
Equals.
equals(Object) - Method in class weka.associations.ItemSet
Tests if two item sets are equal.
equals(Object) - Method in class weka.associations.LabeledItemSet
Tests if two item sets are equal.
equals(Object) - Method in class weka.associations.NominalItem
Equals.
equals(Object) - Method in class weka.associations.NumericItem
Equals.
equals(Object) - Method in class weka.classifiers.Evaluation
Tests whether the current evaluation object is equal to another evaluation object.
equals(Object) - Method in class weka.classifiers.evaluation.Evaluation
Tests whether the current evaluation object is equal to another evaluation object.
equals(Object) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
Tests whether the current evaluation object is equal to another evaluation object
equals(Object) - Method in class weka.classifiers.rules.DecisionTableHashKey
Tests if two instances are equal
equals(Object) - Method in class weka.clusterers.ClusterEvaluation
Tests whether the current evaluation object is equal to another evaluation object
equals(Object) - Method in class weka.core.Attribute
Tests if given attribute is equal to this attribute.
equals(Object) - Method in class weka.core.AttributeLocator
Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class weka.core.ClassDiscovery.StringCompare
Indicates whether some other object is "equal to" this Comparator.
equals(Package) - Method in class weka.core.packageManagement.Package
Compare the supplied package to this package.
equals(Object) - Method in class weka.core.SelectedTag
Returns true if this SelectedTag equals another object
equals(Object) - Method in class weka.core.SerializedObject
 
equals(Object) - Method in class weka.core.Settings.SettingKey
Compares two setting keys for equality
equals(Object) - Method in class weka.core.Trie
Compares the specified object with this collection for equality.
equals(Object) - Method in class weka.core.Trie.TrieNode
Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class weka.core.Version
whether the given version string is equal to this version
equals(Object) - Method in class weka.estimators.Estimator
Tests whether the current estimation object is equal to another estimation object
equals(Object) - Method in class weka.gui.graphvisualizer.GraphEdge
 
equals(Object) - Method in class weka.gui.graphvisualizer.GraphNode
Returns true if passed in argument is an instance of GraphNode and is equal to this node.
equals(Object) - Method in class weka.gui.simplecli.AbstractCommand
Returns true if the object is a command with the same name.
equals(Object) - Method in class weka.gui.SortedTableModel.SortContainer
Indicates whether some other object is "equal to" this one.
equalsMsg(Object) - Method in class weka.core.Attribute
Tests if given attribute is equal to this attribute.
equalTo(Test) - Method in class weka.datagenerators.Test
Compares the test with the test that is given as parameter.
errms(StreamTokenizer, String) - Static method in class weka.core.converters.ConverterUtils
Throws error message with line number and last token read.
errms(StreamTokenizer, String) - Static method in class weka.core.converters.StreamTokenizerUtils
Throws error message with line number and last token read.
error() - Method in class weka.classifiers.evaluation.NumericPrediction
Calculates the prediction error.
error - Static variable in interface weka.core.expressionlanguage.parser.sym
 
error - Static variable in interface weka.core.json.sym
 
ERROR_SHAPE - Static variable in class weka.gui.visualize.Plot2D
 
error_sym() - Method in class weka.core.expressionlanguage.parser.Parser
error Symbol index.
error_sym() - Method in class weka.core.json.Parser
error Symbol index.
ErrorBasedMeritEvaluator - Interface in weka.attributeSelection
Interface for evaluators that calculate the "merit" of attributes/subsets as the error of a learning scheme
errorFunction(double) - Static method in class weka.core.Statistics
Returns the error function of the normal distribution.
errorFunctionComplemented(double) - Static method in class weka.core.Statistics
Returns the complementary Error function of the normal distribution.
errorOnProbabilitiesTipText() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the tip text for this property
errorOnProbabilitiesTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
errorPlotPointSizeProportionalToMarginTipText() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Get the tip text for this property.
errorRate() - Method in class weka.classifiers.evaluation.ConfusionMatrix
Returns the estimated error rate.
errorRate() - Method in class weka.classifiers.Evaluation
Returns the estimated error rate or the root mean squared error (if the class is numeric).
errorRate() - Method in class weka.classifiers.evaluation.Evaluation
Returns the estimated error rate or the root mean squared error (if the class is numeric).
errorValue(NeuralNode) - Method in class weka.classifiers.functions.neural.LinearUnit
This function calculates what the error value should be.
errorValue(boolean) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this to get the error value of this unit.
errorValue(NeuralNode) - Method in interface weka.classifiers.functions.neural.NeuralMethod
This function calculates what the error value should be.
errorValue(boolean) - Method in class weka.classifiers.functions.neural.NeuralNode
Call this to get the error value of this unit.
errorValue(NeuralNode) - Method in class weka.classifiers.functions.neural.SigmoidUnit
This function calculates what the error value should be.
ErrorVisualizePlugin - Interface in weka.gui.visualize.plugins
Interface implemented by classes loaded dynamically to visualize classifier errors in the explorer.
escapeQuote(String) - Method in class weka.gui.scripting.SyntaxDocument
Escapes the quote delimiter.
establishCacheIfNeeded(PrintStream...) - Static method in class weka.core.WekaPackageManager
Establish the local copy of the package meta data if needed
establishProxy() - Method in class weka.core.packageManagement.PackageManager
Tries to configure a Proxy object for use in an Authenticator if there is a proxy defined by the properties http.proxyHost and http.proxyPort, and if the user has set values for the properties (note, these are not standard java properties) http.proxyUser and http.proxyPassword.
estimate(double[][], double[]) - Method in interface weka.estimators.MultivariateEstimator
Fits the value to the density estimator.
estimate(double[][], double[]) - Method in class weka.estimators.MultivariateGaussianEstimator
Generates the estimator based on the given observations and weight vector.
estimateCPTs() - Method in class weka.classifiers.bayes.BayesNet
estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimateCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimateCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimateCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimateCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimatePooled(double[][][], double[][]) - Method in class weka.estimators.MultivariateGaussianEstimator
Generates pooled estimator for linear discriminant analysis based on the given groups of observations and weight vectors.
Estimator - Class in weka.estimators
Abstract class for all estimators.
Estimator() - Constructor for class weka.estimators.Estimator
 
estimatorTipText() - Method in class weka.classifiers.bayes.BayesNet
This will return a string describing the BayesNetEstimator.
estimatorTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns the tip text for this property
EstimatorUtils - Class in weka.estimators
Contains static utility functions for Estimators.
EstimatorUtils() - Constructor for class weka.estimators.EstimatorUtils
 
EstTypes() - Constructor for class weka.estimators.CheckEstimator.EstTypes
Constructor
EstTypes(boolean, boolean, boolean) - Constructor for class weka.estimators.CheckEstimator.EstTypes
Constructor
ETable - Class in weka.gui
A better-looking table than JTable.
ETable() - Constructor for class weka.gui.ETable
 
Euclidean - Class in weka.core.pmml.jaxbbindings
Java class for euclidean element declaration.
Euclidean() - Constructor for class weka.core.pmml.jaxbbindings.Euclidean
 
EuclideanDistance - Class in weka.core
Implementing Euclidean distance (or similarity) function.

One object defines not one distance but the data model in which the distances between objects of that data model can be computed.

Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low.

For more information, see:

Wikipedia.
EuclideanDistance() - Constructor for class weka.core.EuclideanDistance
Constructs an Euclidean Distance object, Instances must be still set.
EuclideanDistance(Instances) - Constructor for class weka.core.EuclideanDistance
Constructs an Euclidean Distance object and automatically initializes the ranges.
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.CachedKernel
Implements the abstract function of Kernel using the cache.
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.Kernel
Computes the result of the kernel function for two instances.
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
 
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.StringKernel
Computes the result of the kernel function for two instances.
EVAL_ACCURACY - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_ACCURACY - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_ACCURACY - Static variable in class weka.classifiers.rules.DecisionTable
 
EVAL_AUC - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_AUC - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_AUC - Static variable in class weka.classifiers.rules.DecisionTable
 
EVAL_AUPRC - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_AUPRC - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_CORRELATION - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_CORRELATION - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_DEFAULT - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_DEFAULT - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_DEFAULT - Static variable in class weka.classifiers.rules.DecisionTable
default is accuracy for discrete class and RMSE for numeric class
EVAL_FMEASURE - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_FMEASURE - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_MAE - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_MAE - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_MAE - Static variable in class weka.classifiers.rules.DecisionTable
 
EVAL_PLUGIN - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_PLUGIN - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_RMSE - Static variable in class weka.attributeSelection.ClassifierSubsetEval
 
EVAL_RMSE - Static variable in class weka.attributeSelection.WrapperSubsetEval
 
EVAL_RMSE - Static variable in class weka.classifiers.rules.DecisionTable
 
evalBoolean(String) - Method in class weka.core.xml.XMLDocument
Evaluates and returns the boolean result of the XPath expression.
evalDouble(String) - Method in class weka.core.xml.XMLDocument
Evaluates and returns the double result of the XPath expression.
evalString(String) - Method in class weka.core.xml.XMLDocument
Evaluates and returns the boolean result of the XPath expression.
evaluate(String, String[]) - Static method in class weka.associations.AssociatorEvaluation
Evaluates an associator with the options given in an array of strings.
evaluate(Associator, String[]) - Static method in class weka.associations.AssociatorEvaluation
Evaluates the associator with the given commandline options and returns the evaluation string.
evaluate(Associator, Instances) - Method in class weka.associations.AssociatorEvaluation
Evaluates the associator with the given commandline options and returns the evaluation string.
evaluate(Kernel, String[]) - Static method in class weka.classifiers.functions.supportVector.KernelEvaluation
Evaluates the Kernel with the given commandline options and returns the evaluation string.
evaluate(String, String[]) - Static method in class weka.classifiers.functions.supportVector.KernelEvaluation
Evaluates a kernel with the options given in an array of strings.
evaluate(Kernel, Instances) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
Evaluates the Kernel with the given commandline options and returns the evaluation string.
evaluate(Node...) - Method in class weka.core.expressionlanguage.common.IfElseMacro
Evaluates the ifelse macro
evaluate(Node...) - Method in class weka.core.expressionlanguage.common.JavaMacro
Evaluates the java macro on the given arguments
evaluate() - Method in class weka.core.expressionlanguage.common.Primitives.BooleanConstant
 
evaluate() - Method in interface weka.core.expressionlanguage.common.Primitives.BooleanExpression
 
evaluate() - Method in class weka.core.expressionlanguage.common.Primitives.BooleanVariable
 
evaluate() - Method in class weka.core.expressionlanguage.common.Primitives.DoubleConstant
 
evaluate() - Method in interface weka.core.expressionlanguage.common.Primitives.DoubleExpression
 
evaluate() - Method in class weka.core.expressionlanguage.common.Primitives.DoubleVariable
 
evaluate() - Method in class weka.core.expressionlanguage.common.Primitives.StringConstant
 
evaluate() - Method in interface weka.core.expressionlanguage.common.Primitives.StringExpression
 
evaluate() - Method in class weka.core.expressionlanguage.common.Primitives.StringVariable
 
evaluate(Node...) - Method in interface weka.core.expressionlanguage.core.Macro
Applies a macro to a set of parameter nodes.
evaluate(Node...) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
Evaluates the 'ismissing' macro
evaluate(Instance, boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
 
evaluate(Instance, boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
 
evaluate(Instance, boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Evaluate this node and combine with the result so far
evaluateAttribute(int) - Method in interface weka.attributeSelection.AttributeEvaluator
evaluates an individual attribute
evaluateAttribute(int) - Method in class weka.attributeSelection.AttributeSetEvaluator
evaluates an individual attribute
evaluateAttribute(int[], int[]) - Method in class weka.attributeSelection.AttributeSetEvaluator
Evaluates a set of attributes
evaluateAttribute(int) - Method in class weka.attributeSelection.ClassifierAttributeEval
Evaluates an individual attribute by measuring the amount of information gained about the class given the attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.CorrelationAttributeEval
Evaluates an individual attribute by measuring the correlation (Pearson's) between it and the class.
evaluateAttribute(int) - Method in class weka.attributeSelection.GainRatioAttributeEval
evaluates an individual attribute by measuring the gain ratio of the class given the attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.InfoGainAttributeEval
evaluates an individual attribute by measuring the amount of information gained about the class given the attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.OneRAttributeEval
evaluates an individual attribute by measuring the amount of information gained about the class given the attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.PrincipalComponents
Evaluates the merit of a transformed attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
Evaluates an individual attribute using ReliefF's instance based approach.
evaluateAttribute(int) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
evaluates an individual attribute by measuring the symmetrical uncertainty between it and the class.
evaluateClusterer(Instances) - Method in class weka.clusterers.ClusterEvaluation
Evaluate the clusterer on a set of instances.
evaluateClusterer(Instances, String) - Method in class weka.clusterers.ClusterEvaluation
Evaluate the clusterer on a set of instances.
evaluateClusterer(Instances, String, boolean) - Method in class weka.clusterers.ClusterEvaluation
Evaluate the clusterer on a set of instances.
evaluateClusterer(Clusterer, String[]) - Static method in class weka.clusterers.ClusterEvaluation
Evaluates a clusterer with the options given in an array of strings.
evaluateModel(String, String[]) - Static method in class weka.classifiers.Evaluation
Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, String[]) - Static method in class weka.classifiers.Evaluation
Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, Instances, Object...) - Method in class weka.classifiers.Evaluation
Evaluates the classifier on a given set of instances.
evaluateModel(String, String[]) - Static method in class weka.classifiers.evaluation.Evaluation
Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, String[]) - Static method in class weka.classifiers.evaluation.Evaluation
Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, Instances, Object...) - Method in class weka.classifiers.evaluation.Evaluation
Evaluates the classifier on a given set of instances.
evaluateModelOnce(Classifier, Instance) - Method in class weka.classifiers.Evaluation
Evaluates the classifier on a single instance.
evaluateModelOnce(double[], Instance) - Method in class weka.classifiers.Evaluation
Evaluates the supplied distribution on a single instance.
evaluateModelOnce(double, Instance) - Method in class weka.classifiers.Evaluation
Evaluates the supplied prediction on a single instance.
evaluateModelOnce(Classifier, Instance) - Method in class weka.classifiers.evaluation.Evaluation
Evaluates the classifier on a single instance.
evaluateModelOnce(double[], Instance) - Method in class weka.classifiers.evaluation.Evaluation
Evaluates the supplied distribution on a single instance.
evaluateModelOnce(double, Instance) - Method in class weka.classifiers.evaluation.Evaluation
Evaluates the supplied prediction on a single instance.
evaluateModelOnceAndRecordPrediction(Classifier, Instance) - Method in class weka.classifiers.Evaluation
Evaluates the classifier on a single instance and records the prediction.
evaluateModelOnceAndRecordPrediction(double[], Instance) - Method in class weka.classifiers.Evaluation
Evaluates the supplied distribution on a single instance.
evaluateModelOnceAndRecordPrediction(Classifier, Instance) - Method in class weka.classifiers.evaluation.Evaluation
Evaluates the classifier on a single instance and records the prediction.
evaluateModelOnceAndRecordPrediction(double[], Instance) - Method in class weka.classifiers.evaluation.Evaluation
Evaluates the supplied distribution on a single instance.
evaluateSplit(Map<String, WeightMass>, List<Map<String, WeightMass>>) - Method in class weka.classifiers.trees.ht.GiniSplitMetric
 
evaluateSplit(Map<String, WeightMass>, List<Map<String, WeightMass>>) - Method in class weka.classifiers.trees.ht.InfoGainSplitMetric
 
evaluateSplit(Map<String, WeightMass>, List<Map<String, WeightMass>>) - Method in class weka.classifiers.trees.ht.SplitMetric
Evaluate the merit of a split
evaluateSubset(BitSet) - Method in class weka.attributeSelection.CfsSubsetEval
evaluates a subset of attributes
evaluateSubset(BitSet) - Method in class weka.attributeSelection.ClassifierSubsetEval
Evaluates a subset of attributes
evaluateSubset(BitSet, Instances) - Method in class weka.attributeSelection.ClassifierSubsetEval
Evaluates a subset of attributes with respect to a set of instances.
evaluateSubset(BitSet, Instance, boolean) - Method in class weka.attributeSelection.ClassifierSubsetEval
Evaluates a subset of attributes with respect to a single instance.
evaluateSubset(BitSet, Instances) - Method in class weka.attributeSelection.HoldOutSubsetEvaluator
Evaluates a subset of attributes with respect to a set of instances.
evaluateSubset(BitSet, Instance, boolean) - Method in class weka.attributeSelection.HoldOutSubsetEvaluator
Evaluates a subset of attributes with respect to a single instance.
evaluateSubset(BitSet) - Method in interface weka.attributeSelection.SubsetEvaluator
evaluates a subset of attributes
evaluateSubset(BitSet) - Method in class weka.attributeSelection.WrapperSubsetEval
Evaluates a subset of attributes
Evaluation - Class in weka.classifiers
Class for evaluating machine learning models.
Evaluation(Instances) - Constructor for class weka.classifiers.Evaluation
 
Evaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.Evaluation
 
Evaluation - Class in weka.classifiers.evaluation
Class for evaluating machine learning models.
Evaluation(Instances) - Constructor for class weka.classifiers.evaluation.Evaluation
Initializes all the counters for the evaluation.
Evaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.evaluation.Evaluation
Initializes all the counters for the evaluation and also takes a cost matrix as parameter.
evaluationForSingleInstance(double[], Instance, boolean) - Method in class weka.classifiers.evaluation.Evaluation
Evaluates the supplied distribution on a single instance.
evaluationForSingleInstance(double[], Instance, boolean) - Method in class weka.classifiers.Evaluation
Evaluates the supplied distribution on a single instance.
evaluationMeasureTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns the tip text for this property
evaluationMeasureTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
evaluationMeasureTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns the tip text for this property
evaluationMeasureTipText() - Method in class weka.classifiers.rules.DecisionTable
Returns the tip text for this property
EvaluationMetricHelper - Class in weka.classifiers.evaluation
Helper routines for extracting metric values from built-in and plugin evaluation metrics.
EvaluationMetricHelper(Evaluation) - Constructor for class weka.classifiers.evaluation.EvaluationMetricHelper
Construct a new EvaluationMetricHelper
EvaluationMetricSelectionDialog - Class in weka.gui
A GUI dialog for selecting classification/regression evaluation metrics to be output.
EvaluationMetricSelectionDialog(Dialog, List<String>) - Constructor for class weka.gui.EvaluationMetricSelectionDialog
Constructor
EvaluationMetricSelectionDialog(Window, List<String>) - Constructor for class weka.gui.EvaluationMetricSelectionDialog
Constructor
EvaluationMetricSelectionDialog(Frame, List<String>) - Constructor for class weka.gui.EvaluationMetricSelectionDialog
Constructor
evaluationMetricsToOutputTipText() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Get the tip text for this property.
evaluationMetricTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
EvaluationUtils - Class in weka.classifiers.evaluation
Contains utility functions for generating lists of predictions in various manners.
EvaluationUtils() - Constructor for class weka.classifiers.evaluation.EvaluationUtils
 
evaluatorTipText() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns the tip text for this property
evaluatorTipText() - Method in class weka.filters.supervised.attribute.AttributeSelection
Returns the tip text for this property
evalUsingTrainingDataTipText() - Method in class weka.attributeSelection.OneRAttributeEval
Returns a string for this option suitable for display in the gui as a tip text
EventConstraints - Interface in weka.gui.beans
Interface for objects that want to be able to specify at any given time whether their current configuration allows a particular event to be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Appender
Returns true if, at the current time, the named event could be generated.
eventGeneratable(EventSetDescriptor) - Method in class weka.gui.beans.Associator
Returns true, if at the current time, the event described by the supplied event descriptor could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Associator
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ClassAssigner
Returns true, if at the current time, the named event could be generated.
eventGeneratable(EventSetDescriptor) - Method in class weka.gui.beans.Classifier
Returns true, if at the current time, the event described by the supplied event descriptor could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Classifier
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ClassValuePicker
Returns true, if at the current time, the named event could be generated.
eventGeneratable(EventSetDescriptor) - Method in class weka.gui.beans.Clusterer
Returns true, if at the current time, the event described by the supplied event descriptor could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Clusterer
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.DataVisualizer
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in interface weka.gui.beans.EventConstraints
Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Filter
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.FlowByExpression
 
eventGeneratable(String) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Join
 
eventGeneratable(String) - Method in class weka.gui.beans.Loader
Returns true if the named event can be generated at this time
eventGeneratable(EventSetDescriptor) - Method in class weka.gui.beans.MetaBean
Returns true, if at the current time, the event described by the supplied event descriptor could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.MetaBean
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ModelPerformanceChart
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.PredictionAppender
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Sorter
Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.SubstringLabeler
Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.SubstringReplacer
Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.TestSetMaker
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.TextViewer
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.TrainingSetMaker
Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.TrainTestSplitMaker
Returns true, if at the current time, the named event could be generated.
EventValues - Class in weka.core.pmml.jaxbbindings
Java class for EventValues element declaration.
EventValues() - Constructor for class weka.core.pmml.jaxbbindings.EventValues
 
execute() - Method in class weka.classifiers.CheckSource
performs the comparison test
execute(String) - Method in class weka.experiment.DatabaseUtils
Executes a SQL query.
execute() - Method in class weka.experiment.RemoteExperimentSubTask
Run the experiment
execute() - Method in interface weka.experiment.Task
Execute this task.
execute() - Method in class weka.filters.CheckSource
performs the comparison test
execute() - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Perform the sub task
execute() - Method in class weka.gui.explorer.DataGeneratorPanel
generates the instances, returns TRUE if successful stores output as a string
execute(boolean) - Method in class weka.gui.explorer.DataGeneratorPanel
generates the instances, returns TRUE if successful
execute() - Method in class weka.gui.GenericPropertiesCreator
generates the props-file for the GenericObjectEditor and stores it
execute(boolean) - Method in class weka.gui.GenericPropertiesCreator
generates the props-file for the GenericObjectEditor
execute(boolean, boolean) - Method in class weka.gui.GenericPropertiesCreator
generates the props-file for the GenericObjectEditor and stores it only if the the param store is TRUE.
execute(String[]) - Method in class weka.gui.simplecli.AbstractCommand
Executes the command with the given parameters.
execute() - Method in class weka.gui.sql.QueryPanel
executes the current query.
executeFlow(boolean) - Method in class weka.gui.knowledgeflow.VisibleLayout
Execute the flow managed by this layout
ExecuteProcess - Class in weka.knowledgeflow.steps
Knowledge Flow step that can execute static system commands or commands that are dynamically defined by the values of attributes in incoming instance or environment connections.
ExecuteProcess() - Constructor for class weka.knowledgeflow.steps.ExecuteProcess
 
ExecuteProcessStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the ExecuteProcess step
ExecuteProcessStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ExecuteProcessStepEditorDialog
 
executeTask(Task) - Method in interface weka.experiment.Compute
Execute a task
executeTask(Task) - Method in class weka.experiment.RemoteEngine
Takes a task object and queues it for execution
EXECUTION_ENV - Static variable in class weka.gui.knowledgeflow.KnowledgeFlowApp.KnowledgeFlowGeneralDefaults
 
EXECUTION_ENV_KEY - Static variable in class weka.gui.knowledgeflow.KnowledgeFlowApp.KnowledgeFlowGeneralDefaults
 
ExecutionEnvironment - Interface in weka.knowledgeflow
Client (i.e.
executionFinished() - Method in interface weka.knowledgeflow.ExecutionFinishedCallback
Notification of the finish of execution
ExecutionFinishedCallback - Interface in weka.knowledgeflow
Callback interface for receiving notification of a flow finishing execution
ExecutionResult<T> - Class in weka.knowledgeflow
Stores the result generated by a StepTask.
ExecutionResult() - Constructor for class weka.knowledgeflow.ExecutionResult
 
executionSlotsTipText() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Get the tip text for this property.
exists(TechnicalInformation.Field) - Method in class weka.core.TechnicalInformation
returns TRUE if the field is stored and has a value different from the empty string.
Exit - Class in weka.gui.simplecli
Closes the Simple CLI window.
Exit() - Constructor for class weka.gui.simplecli.Exit
 
EXP_INDEX_TABLE - Static variable in class weka.experiment.DatabaseUtils
The name of the table containing the index to experiments.
EXP_RESULT_COL - Static variable in class weka.experiment.DatabaseUtils
The name of the column containing the results table name.
EXP_RESULT_PREFIX - Static variable in class weka.experiment.DatabaseUtils
The prefix for result table names.
EXP_SETUP_COL - Static variable in class weka.experiment.DatabaseUtils
The name of the column containing the experiment setup (parameters).
EXP_TYPE_COL - Static variable in class weka.experiment.DatabaseUtils
The name of the column containing the experiment type (ResultProducer).
expectedCosts(double[]) - Method in class weka.classifiers.CostMatrix
Calculates the expected misclassification cost for each possible class value, given class probability estimates.
expectedCosts(double[], Instance) - Method in class weka.classifiers.CostMatrix
Calculates the expected misclassification cost for each possible class value, given class probability estimates.
expectedResultsPerAverageTipText() - Method in class weka.experiment.AveragingResultProducer
Returns the tip text for this property
Experiment - Class in weka.experiment
Holds all the necessary configuration information for a standard type experiment.
Experiment() - Constructor for class weka.experiment.Experiment
 
Experimenter - Class in weka.gui.experiment
The main class for the experiment environment.
Experimenter() - Constructor for class weka.gui.experiment.Experimenter
Creates the experiment environment gui with no initial experiment
Experimenter(boolean) - Constructor for class weka.gui.experiment.Experimenter
Creates the experiment environment gui with no initial experiment
ExperimenterDefaults - Class in weka.gui.experiment
This class offers get methods for the default Experimenter settings in the props file weka/gui/experiment/Experimenter.props.
ExperimenterDefaults() - Constructor for class weka.gui.experiment.ExperimenterDefaults
 
experimentIndexExists() - Method in class weka.experiment.DatabaseUtils
Returns true if the experiment index exists.
ExplicitTestsetResultProducer - Class in weka.experiment
Loads the external test set and calls the appropriate SplitEvaluator to generate some results.
The filename of the test set is constructed as follows:
<dir> + / + <prefix> + <relation-name> + <suffix>
The relation-name can be modified by using the regular expression to replace the matching sub-string with a specified replacement string.
ExplicitTestsetResultProducer() - Constructor for class weka.experiment.ExplicitTestsetResultProducer
 
Explorer - Class in weka.gui.explorer
The main class for the Weka explorer.
Explorer() - Constructor for class weka.gui.explorer.Explorer
Creates the experiment environment gui with no initial experiment
Explorer.CapabilitiesFilterChangeEvent - Class in weka.gui.explorer
This event can be fired in case the capabilities filter got changed
Explorer.CapabilitiesFilterChangeListener - Interface in weka.gui.explorer
Interface for classes that listen for filter changes.
Explorer.ExplorerPanel - Interface in weka.gui.explorer
A common interface for panels to be displayed in the Explorer
Explorer.LogHandler - Interface in weka.gui.explorer
A common interface for panels in the explorer that can handle logs
ExplorerDefaults - Class in weka.gui.explorer
This class offers get methods for the default Explorer settings in the props file weka/gui/explorer/Explorer.props.
ExplorerDefaults() - Constructor for class weka.gui.explorer.ExplorerDefaults
 
ExponentialFormat - Class in weka.core.matrix
 
ExponentialFormat() - Constructor for class weka.core.matrix.ExponentialFormat
 
ExponentialFormat(int) - Constructor for class weka.core.matrix.ExponentialFormat
 
ExponentialFormat(int, boolean) - Constructor for class weka.core.matrix.ExponentialFormat
 
ExponentialFormat(int, int, boolean, boolean) - Constructor for class weka.core.matrix.ExponentialFormat
 
ExponentialSmoothing - Class in weka.core.pmml.jaxbbindings
Java class for ExponentialSmoothing element declaration.
ExponentialSmoothing() - Constructor for class weka.core.pmml.jaxbbindings.ExponentialSmoothing
 
exponentTipText() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Returns the tip text for this property
exponentTipText() - Method in class weka.classifiers.functions.VotedPerceptron
Returns the tip text for this property
Expression - Class in weka.core.pmml
 
Expression(FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.Expression
 
Expression - Class in weka.datagenerators.classifiers.regression
A data generator for generating y according to a given expression out of randomly generated x.
E.g., the mexican hat can be generated like this:
sin(abs(a1)) / abs(a1)
In addition to this function, the amplitude can be changed and gaussian noise can be added.
Expression() - Constructor for class weka.datagenerators.classifiers.regression.Expression
initializes the generator
ExpressionClause() - Constructor for class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
 
ExpressionClause(FlowByExpression.ExpressionClause.ExpressionType, String, String, boolean, boolean) - Constructor for class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Construct a new ExpressionClause
ExpressionNode() - Constructor for class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
 
expressionTipText() - Method in class weka.datagenerators.classifiers.regression.Expression
Returns the tip text for this property
expressionTipText() - Method in class weka.filters.unsupervised.attribute.AddExpression
Returns the tip text for this property
expressionTipText() - Method in class weka.filters.unsupervised.attribute.MathExpression
Returns the tip text for this property
expressionTipText() - Method in class weka.filters.unsupervised.attribute.RemoveByName
Returns the tip text for this property.
expressionTipText() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Returns the tip text for this property.
Extension - Class in weka.core.pmml.jaxbbindings
Java class for Extension element declaration.
Extension() - Constructor for class weka.core.pmml.jaxbbindings.Extension
 
EXTENSION - Static variable in class weka.knowledgeflow.JSONFlowLoader
The file exetension for JSON-based flows
EXTENSION - Static variable in class weka.knowledgeflow.LegacyFlowLoader
File extension for the format handled by this flow loader
ExtensionFileFilter - Class in weka.gui
Provides a file filter for FileChoosers that accepts or rejects files based on their extension.
ExtensionFileFilter(String, String) - Constructor for class weka.gui.ExtensionFileFilter
Creates the ExtensionFileFilter
ExtensionFileFilter(String[], String) - Constructor for class weka.gui.ExtensionFileFilter
Creates an ExtensionFileFilter that accepts files that have any of the extensions contained in the supplied array.
ExtensionFileFilterWithClass - Class in weka.gui
File filter that stores an associated class alongside name and extension(s).
ExtensionFileFilterWithClass(String, String, Class) - Constructor for class weka.gui.ExtensionFileFilterWithClass
Creates the ExtensionFileFilterWithClass
ExtensionFileFilterWithClass(String[], String, Class) - Constructor for class weka.gui.ExtensionFileFilterWithClass
Creates an ExtensionFileFilterWithClass that accepts files that have any of the extensions contained in the supplied array.
extraArcs(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
Count nr of exta arcs from other network compared to current network Note that an arc is not 'extra' if it is reversed.
extract(RevisionHandler) - Static method in class weka.core.RevisionUtils
Extracts the revision string returned by the RevisionHandler.
extract(String) - Static method in class weka.core.RevisionUtils
Extracts the revision string.
extractPackage(String) - Static method in class weka.core.ClassCache
Extracts the package name from the (clean) classname.
extremeValuesAsOutliersTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the tip text for this property
extremeValuesFactorTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the tip text for this property

F

FactorList - Class in weka.core.pmml.jaxbbindings
Java class for FactorList element declaration.
FactorList() - Constructor for class weka.core.pmml.jaxbbindings.FactorList
 
Factory() - Constructor for class weka.gui.WekaFileChooser.Factory
 
FAILED - Static variable in class weka.experiment.TaskStatusInfo
 
failed() - Method in class weka.gui.sql.event.ConnectionEvent
whether an exception happened and is stored
failed() - Method in class weka.gui.sql.event.QueryExecuteEvent
is TRUE in case the exception is not NULL, i.e.
FALLOUT_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: Fallout
False - Class in weka.core.pmml.jaxbbindings
Java class for False element declaration.
False() - Constructor for class weka.core.pmml.jaxbbindings.False
 
FALSE_NEG_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: False Negatives
FALSE_POS_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: False Positives
falseNegativeRate(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the false negative rate with respect to a particular class.
falseNegativeRate(int, double) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the false negative rate with respect to a particular class.
falseNegativeRate(int) - Method in class weka.classifiers.Evaluation
Calculate the false negative rate with respect to a particular class.
falsePositiveRate(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the false positive rate with respect to a particular class.
falsePositiveRate(int, double) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the false positive rate with respect to a particular class.
falsePositiveRate(int) - Method in class weka.classifiers.Evaluation
Calculate the false positive rate with respect to a particular class.
FARTHEST_FIRST - Static variable in class weka.clusterers.SimpleKMeans
 
FarthestFirst - Class in weka.clusterers
Cluster data using the FarthestFirst algorithm.

For more information see:

Hochbaum, Shmoys (1985).
FarthestFirst() - Constructor for class weka.clusterers.FarthestFirst
 
fastDistanceCalcTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
fastRegressionTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
FastVector<E> - Class in weka.core
Deprecated.
FastVector() - Constructor for class weka.core.FastVector
Deprecated.
Constructs an empty vector with initial capacity zero.
FastVector(int) - Constructor for class weka.core.FastVector
Deprecated.
Constructs a vector with the given capacity.
FieldColumnPair - Class in weka.core.pmml.jaxbbindings
Java class for FieldColumnPair element declaration.
FieldColumnPair() - Constructor for class weka.core.pmml.jaxbbindings.FieldColumnPair
 
FieldMetaInfo - Class in weka.core.pmml
Abstract superclass for various types of field meta data.
FieldMetaInfo(Element) - Constructor for class weka.core.pmml.FieldMetaInfo
Construct a new FieldMetaInfo.
FieldMetaInfo.Interval - Class in weka.core.pmml
Inner class for an Interval.
FieldMetaInfo.Interval.Closure - Enum in weka.core.pmml
Enumerated type for the closure.
FieldMetaInfo.Optype - Enum in weka.core.pmml
Enumerated type for the Optype
FieldMetaInfo.Value - Class in weka.core.pmml
Inner class for Values
FieldMetaInfo.Value.Property - Enum in weka.core.pmml
Enumerated type for the property.
FieldRef - Class in weka.core.pmml
Class encapsulating a FieldRef Expression.
FieldRef(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.FieldRef
 
FieldRef - Class in weka.core.pmml.jaxbbindings
Java class for FieldRef element declaration.
FieldRef() - Constructor for class weka.core.pmml.jaxbbindings.FieldRef
 
fields() - Method in class weka.core.TechnicalInformation
returns an enumeration over all the stored fields
fieldSeparatorTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
fieldSeparatorTipText() - Method in class weka.core.converters.CSVSaver
Returns the tip text for this property.
FIELDUSAGETYPE - Enum in weka.core.pmml.jaxbbindings
Java class for FIELD-USAGE-TYPE.
FieldValue - Class in weka.core.pmml.jaxbbindings
Java class for FieldValue element declaration.
FieldValue() - Constructor for class weka.core.pmml.jaxbbindings.FieldValue
 
FieldValueCount - Class in weka.core.pmml.jaxbbindings
Java class for FieldValueCount element declaration.
FieldValueCount() - Constructor for class weka.core.pmml.jaxbbindings.FieldValueCount
 
FILE_EXTENSION - Static variable in class weka.classifiers.CostMatrix
The deafult file extension for cost matrix files
FILE_EXTENSION - Static variable in class weka.core.converters.ArffLoader
the file extension
FILE_EXTENSION - Static variable in class weka.core.converters.C45Loader
the file extension
FILE_EXTENSION - Static variable in class weka.core.converters.CSVLoader
the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.JSONLoader
the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.LibSVMLoader
the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.LibSVMSaver
the file extension
FILE_EXTENSION - Static variable in class weka.core.converters.MatlabLoader
the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.MatlabSaver
the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.SerializedInstancesLoader
the file extension
FILE_EXTENSION - Static variable in class weka.core.converters.SVMLightLoader
the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.SVMLightSaver
the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.XRFFLoader
the file extension
FILE_EXTENSION - Static variable in class weka.core.Instances
The filename extension that should be used for arff files
FILE_EXTENSION - Static variable in class weka.core.xml.KOML
the extension for KOML files (including '.')
FILE_EXTENSION - Static variable in class weka.core.xml.XMLInstances
The filename extension that should be used for xrff files
FILE_EXTENSION - Static variable in class weka.core.xml.XStream
the extension for XStream files (including '.')
FILE_EXTENSION - Static variable in class weka.experiment.Experiment
The filename extension that should be used for experiment files
FILE_EXTENSION - Static variable in class weka.gui.beans.Classifier
the extension for serialized models (binary Java serialization)
FILE_EXTENSION - Static variable in class weka.gui.beans.KnowledgeFlowApp
the extension for the serialized setups (Java serialization)
FILE_EXTENSION - Static variable in class weka.gui.beans.SerializedModelSaver
the extension for serialized models (binary Java serialization)
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.AbstractFileLoader
the extension for compressed files
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.ArffLoader
 
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.JSONLoader
the extension for compressed files.
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.XRFFLoader
the extension for compressed files
FILE_EXTENSION_JSON - Static variable in class weka.gui.knowledgeflow.MainKFPerspective
File extension for undo point files
FILE_EXTENSION_XML - Static variable in class weka.gui.beans.KnowledgeFlowApp
the extension for the serialized setups (Java serialization)
FileChooserBookmarksPanel() - Constructor for class weka.gui.WekaFileChooser.FileChooserBookmarksPanel
 
FileEditor - Class in weka.gui
A PropertyEditor for File objects that lets the user select a file.
FileEditor() - Constructor for class weka.gui.FileEditor
 
FileEnvironmentField - Class in weka.gui.beans
Deprecated.
FileEnvironmentField() - Constructor for class weka.gui.beans.FileEnvironmentField
Deprecated.
Constructor
FileEnvironmentField(Environment) - Constructor for class weka.gui.beans.FileEnvironmentField
Deprecated.
Constructor
FileEnvironmentField(String, Environment) - Constructor for class weka.gui.beans.FileEnvironmentField
Deprecated.
 
FileEnvironmentField(String, Environment, int) - Constructor for class weka.gui.beans.FileEnvironmentField
Deprecated.
Constructor
FileEnvironmentField(String, Environment, int, boolean) - Constructor for class weka.gui.beans.FileEnvironmentField
Deprecated.
Constructor
FileEnvironmentField(String, int, boolean) - Constructor for class weka.gui.beans.FileEnvironmentField
Deprecated.
Constructor
FileEnvironmentField - Class in weka.gui
Widget that displays a label, editable combo box for selecting environment variables and a button for brining up a file browser.
FileEnvironmentField() - Constructor for class weka.gui.FileEnvironmentField
Constructor
FileEnvironmentField(Environment) - Constructor for class weka.gui.FileEnvironmentField
Constructor
FileEnvironmentField(String, Environment) - Constructor for class weka.gui.FileEnvironmentField
 
FileEnvironmentField(String, Environment, int) - Constructor for class weka.gui.FileEnvironmentField
Constructor
FileEnvironmentField(String, Environment, int, boolean) - Constructor for class weka.gui.FileEnvironmentField
Constructor
FileEnvironmentField(String, int, boolean) - Constructor for class weka.gui.FileEnvironmentField
Constructor
FileHelper - Class in weka.core
Wrapper class for File objects.
FileHelper(File) - Constructor for class weka.core.FileHelper
Constructor
FileHelper() - Constructor for class weka.core.FileHelper
No-op constructor for beans conformity
FileLogger - Class in weka.core.logging
A simple file logger, that just logs to a single file.
FileLogger() - Constructor for class weka.core.logging.FileLogger
 
filePrefix() - Method in class weka.core.converters.AbstractFileSaver
Gets the file name prefix
filePrefix() - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
filePrefix() - Method in interface weka.core.converters.Saver
Gets the file prefix This method is used in the KnowledgeFlow GUI.
FilePropertyMetadata - Annotation Type in weka.gui
Method annotation that can be used to provide some additional information for handling file properties in the GUI.
FileScriptingPanel - Class in weka.gui.scripting
Supports loading/saving of files.
FileScriptingPanel() - Constructor for class weka.gui.scripting.FileScriptingPanel
 
FileScriptingPanel.BasicAction - Class in weka.gui.scripting
A slightly extended action class.
FileSourcedConverter - Interface in weka.core.converters
Interface to a loader/saver that loads/saves from a file source.
fill(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
 
fill3DRect(int, int, int, int, boolean) - Method in class weka.gui.visualize.PostscriptGraphics
Draw a filled rectangle with 3D effect in current pen color.
fillArc(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
fillFrame(Component) - Method in interface weka.gui.MainMenuExtension
Fills the frame with life, like adding components, window listeners, setting size, location, etc.
fillIn(int[], boolean[][]) - Method in class weka.classifiers.bayes.net.MarginCalculator
Apply Tarjan and Yannakakis (1984) fill in algorithm for graph triangulation.
fillOval(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Draw a filled Oval in current pen color.
fillPolygon(int[], int[], int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
fillPolygon(Polygon) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
fillRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Draw a filled rectangle in current pen color.
fillRoundRect(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
fillWithMissingTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Returns the tip text for this property
Filter - Class in weka.filters
An abstract class for instance filters: objects that take instances as input, carry out some transformation on the instance and then output the instance.
Filter() - Constructor for class weka.filters.Filter
 
Filter - Class in weka.gui.beans
A wrapper bean for Weka filters
Filter() - Constructor for class weka.gui.beans.Filter
 
FILTER - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
Filter - Class in weka.knowledgeflow.steps
Step that wraps a Weka filter.
Filter() - Constructor for class weka.knowledgeflow.steps.Filter
 
FILTER_KEY - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
FILTER_NONE - Static variable in class weka.classifiers.functions.GaussianProcesses
no filter
FILTER_NONE - Static variable in class weka.classifiers.functions.SMO
filter: No normalization/standardization
FILTER_NONE - Static variable in class weka.classifiers.functions.SMOreg
The filter to apply to the training data: None
FILTER_NONE - Static variable in class weka.filters.unsupervised.attribute.StringToWordVector
normalization: No normalization.
FILTER_NORMALIZE - Static variable in class weka.classifiers.functions.GaussianProcesses
normalizes the data
FILTER_NORMALIZE - Static variable in class weka.classifiers.functions.SMO
filter: Normalize training data
FILTER_NORMALIZE - Static variable in class weka.classifiers.functions.SMOreg
The filter to apply to the training data: Normalzie
FILTER_NORMALIZE_ALL - Static variable in class weka.filters.unsupervised.attribute.StringToWordVector
normalization: Normalize all data.
FILTER_NORMALIZE_TEST_ONLY - Static variable in class weka.filters.unsupervised.attribute.StringToWordVector
normalization: Normalize test data only.
FILTER_STANDARDIZE - Static variable in class weka.classifiers.functions.GaussianProcesses
standardizes the data
FILTER_STANDARDIZE - Static variable in class weka.classifiers.functions.SMO
filter: Standardize training data
FILTER_STANDARDIZE - Static variable in class weka.classifiers.functions.SMOreg
The filter to apply to the training data: Standardize
filterAfterFirstBatchTipText() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Returns the tip text for this property.
FilterBeanInfo - Class in weka.gui.beans
Bean info class for the Filter bean
FilterBeanInfo() - Constructor for class weka.gui.beans.FilterBeanInfo
 
FilterCustomizer - Class in weka.gui.beans
GUI customizer for the filter bean
FilterCustomizer() - Constructor for class weka.gui.beans.FilterCustomizer
 
FilteredAssociationRules - Class in weka.associations
Class encapsulating a list of association rules and the preprocessing filter that was applied before they were generated.
FilteredAssociationRules(String, Filter, AssociationRules) - Constructor for class weka.associations.FilteredAssociationRules
Constructs a new FilteredAssociationRules.
FilteredAssociationRules(Object, Filter, AssociationRules) - Constructor for class weka.associations.FilteredAssociationRules
Constructs a new FilteredAssociationRules.
FilteredAssociationRules(Filter, AssociationRules) - Constructor for class weka.associations.FilteredAssociationRules
Constructs a new FilteredAssociationRules.
FilteredAssociator - Class in weka.associations
Class for running an arbitrary associator on data that has been passed through an arbitrary filter.
FilteredAssociator() - Constructor for class weka.associations.FilteredAssociator
Default constructor.
FilteredClassifier - Class in weka.classifiers.meta
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
FilteredClassifier() - Constructor for class weka.classifiers.meta.FilteredClassifier
Default constructor.
FilteredClusterer - Class in weka.clusterers
Class for running an arbitrary clusterer on data that has been passed through an arbitrary filter.
FilteredClusterer() - Constructor for class weka.clusterers.FilteredClusterer
Default constructor.
FilteredDistance - Class in weka.core
Applies the given filter before calling the given distance function.
FilteredDistance() - Constructor for class weka.core.FilteredDistance
Default constructor: need to set up Remove filter.
FilteredNeighbourSearch - Class in weka.core.neighboursearch
Applies the given filter before calling the given neighbour search method.
FilteredNeighbourSearch() - Constructor for class weka.core.neighboursearch.FilteredNeighbourSearch
 
filterFile(Filter, String[]) - Static method in class weka.filters.Filter
Method for testing filters.
filtersTipText() - Method in class weka.filters.MultiFilter
Returns the tip text for this property
filtersTipText() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Returns the tip text for this property.
filterTipText() - Method in class weka.associations.FilteredAssociator
Returns the tip text for this property
filterTipText() - Method in class weka.classifiers.meta.FilteredClassifier
Returns the tip text for this property
filterTipText() - Method in class weka.clusterers.FilteredClusterer
Returns the tip text for this property.
filterTipText() - Method in class weka.core.FilteredDistance
Returns the tip text for this property
filterTipText() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns the tip text for this property
filterTypeTipText() - Method in class weka.classifiers.functions.GaussianProcesses
Returns the tip text for this property
filterTypeTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
filterTypeTipText() - Method in class weka.classifiers.functions.SMOreg
Returns the tip text for this property
finalize() - Method in class weka.gui.sql.ResultSetTable
frees up the memory
finalize() - Method in class weka.gui.sql.ResultSetTableModel
frees up the memory.
finalize() - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
finalizeAggregation() - Method in class weka.classifiers.bayes.NaiveBayes
 
finalizeAggregation() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
 
finalizeAggregation() - Method in class weka.classifiers.evaluation.AggregateableEvaluation
 
finalizeAggregation() - Method in class weka.classifiers.functions.Logistic
Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.functions.SGD
Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.functions.SGDText
Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.meta.Bagging
Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.meta.Vote
Call to complete the aggregation process.
finalizeAggregation() - Method in interface weka.core.Aggregateable
Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.core.DictionaryBuilder
 
finalizeAggregation() - Method in class weka.estimators.DiscreteEstimator
 
finalizeAggregation() - Method in class weka.estimators.KernelEstimator
 
finalizeAggregation() - Method in class weka.estimators.NormalEstimator
 
finalizeDictionary() - Method in class weka.core.DictionaryBuilder
Performs final pruning and consolidation according to the number of words to keep property.
find(String) - Method in class weka.core.ClassCache
Find all classes that have the supplied matchText String in their suffix.
find(String, String[]) - Static method in class weka.core.ClassDiscovery
Checks the given packages for classes that inherited from the given class, in case it's a class, or implement this class, in case it's an interface.
find(String, String) - Static method in class weka.core.ClassDiscovery
Checks the given package for classes that inherited from the given class, in case it's a class, or implement this class, in case it's an interface.
find(Class<?>, String[]) - Static method in class weka.core.ClassDiscovery
Checks the given packages for classes that inherited from the given class, in case it's a class, or implement this class, in case it's an interface.
find(String) - Static method in class weka.core.ClassDiscovery
Find all classes that have the supplied matchText String in their suffix.
find(Class<?>, String) - Static method in class weka.core.ClassDiscovery
Checks the given package for classes that inherited from the given class, in case it's a class, or implement this class, in case it's an interface.
find() - Method in class weka.core.FindWithCapabilities
returns a list with all the classnames that fit the criteria.
find(Object, PropertyPath.Path) - Static method in class weka.core.PropertyPath
returns the property and object associated with the given path, null if a problem occurred.
find(String) - Method in class weka.core.Trie.TrieNode
returns the node with the given suffix
findAllRulesForSupportLevelTipText() - Method in class weka.associations.FPGrowth
Tip text for this property suitable for displaying in the GUI.
findArgmin(double[], double[][]) - Method in class weka.core.ConjugateGradientOptimization
Main algorithm.
findArgmin(double[], double[][]) - Method in class weka.core.Optimization
Main algorithm.
findBestLeaf(double[], RuleNode[]) - Method in class weka.classifiers.trees.m5.RuleNode
Find the leaf with greatest coverage
findCentralTendencies(double[]) - Method in class weka.classifiers.BVDecomposeSegCVSub
Finds the central tendency, given the classifications for an instance.
findClassloaderForResource(String) - Method in class weka.core.WekaPackageClassLoaderManager
Get the classloader that covers the jar that contains the named resource.
findInstance(String, Integer...) - Static method in class weka.gui.beans.BeanInstance
Search for a named bean in the indexed flow
findInstance(Point, Integer...) - Static method in class weka.gui.beans.BeanInstance
Looks for a bean (if any) whose bounds contain the supplied point
findInstances(Rectangle, Integer...) - Static method in class weka.gui.beans.BeanInstance
Looks for all beans (if any) located within the supplied bounding box.
findMinDistance(Instances, int) - Static method in class weka.estimators.EstimatorUtils
Find the minimum distance between values.
findNodes(String) - Method in class weka.core.xml.XMLDocument
Returns the nodes that the given xpath expression will find in the document.
findNumBinsTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
findNumBinsTipText() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Returns the tip text for this property
findPackages() - Static method in class weka.core.ClassDiscovery
Lists all packages it can find in the classpath.
findPotentialStartPoints() - Method in class weka.knowledgeflow.Flow
Get a list of potential start points in this Flow.
findReadMethod(Object, String) - Static method in class weka.core.xml.XMLSerializationMethodHandler
returns the method with the given name that has the same signature as readFromXML() of the XMLSerialiation class.
findResource(String) - Method in class weka.core.WekaPackageClassLoaderManager
Find a named resource.
findResources(String) - Method in class weka.core.WekaPackageClassLoaderManager
Find a named resource.
findSchemeMatch(Class<?>, String, boolean, boolean) - Static method in class weka.Run
Find a scheme that matches the supplied suffix
findSchemeMatch(String, boolean) - Static method in class weka.Run
Find a scheme that matches the supplied suffix
findStep(String) - Method in class weka.knowledgeflow.Flow
Find a Step by name
findStep(String, Class) - Method in class weka.knowledgeflow.StepInjectorFlowRunner
Find a step in the flow
findStepInFlow(String) - Method in interface weka.knowledgeflow.StepManager
Finds a named step in the current flow.
findStepInFlow(String) - Method in class weka.knowledgeflow.StepManagerImpl
Finds a named step in the current flow.
findTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the tip text for this property.
FindWithCapabilities - Class in weka.core
Locates all classes with certain capabilities.
FindWithCapabilities() - Constructor for class weka.core.FindWithCapabilities
 
findWriteMethod(Object, String) - Static method in class weka.core.xml.XMLSerializationMethodHandler
returns the method with the given name that has the same signature as writeToXML() of the XMLSerialiation class.
FINE - Static variable in class weka.core.Debug
the log level Fine
FINER - Static variable in class weka.core.Debug
the log level Finer
FINEST - Static variable in class weka.core.Debug
the log level Finest
finished() - Method in class weka.experiment.OutputZipper
Closes the zip file.
FINISHED - Static variable in class weka.experiment.TaskStatusInfo
 
finished(Logger) - Method in class weka.gui.beans.StreamThroughput
Register the end of measurement.
finished() - Method in class weka.gui.beans.StreamThroughput
Register the end of measurement.
finished() - Method in class weka.gui.visualize.PostscriptGraphics
Finalizes output file.
finished() - Method in interface weka.knowledgeflow.StepManager
Step implementations processing batch data should call this to indicate that they have finished all processing.
finished() - Method in class weka.knowledgeflow.StepManagerImpl
Finished all processing.
fireLayoutCompleteEvent(LayoutCompleteEvent) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
Fires a LayoutCompleteEvent.
fireLayoutCompleteEvent(LayoutCompleteEvent) - Method in interface weka.gui.graphvisualizer.LayoutEngine
This fires a LayoutCompleteEvent once a layout has been completed.
FIRST - Static variable in class weka.filters.unsupervised.attribute.ClassAssigner
use the first attribute as class.
firstElement() - Method in class weka.core.FastVector
Deprecated.
Returns the first element of the vector.
firstElement() - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Returns the first component of this list.
firstInstance() - Method in class weka.core.Instances
Returns the first instance in the set.
FirstOrder - Class in weka.filters.unsupervised.attribute
This instance filter takes a range of N numeric attributes and replaces them with N-1 numeric attributes, the values of which are the difference between consecutive attribute values from the original instance.
FirstOrder() - Constructor for class weka.filters.unsupervised.attribute.FirstOrder
 
firstValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
 
firstValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues
 
fitToScreen() - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
Fits the tree to the current screen size.
fitToScreen() - Method in class weka.gui.treevisualizer.TreeVisualizer
Fits the tree to the current screen size.
FixedDictionaryStringToWordVector - Class in weka.filters.unsupervised.attribute
Converts String attributes into a set of attributes representing word occurrence (depending on the tokenizer) information from the text contained in the strings.
FixedDictionaryStringToWordVector() - Constructor for class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
 
FlexibleDecimalFormat - Class in weka.core.matrix
 
FlexibleDecimalFormat() - Constructor for class weka.core.matrix.FlexibleDecimalFormat
 
FlexibleDecimalFormat(int) - Constructor for class weka.core.matrix.FlexibleDecimalFormat
 
FlexibleDecimalFormat(int, boolean) - Constructor for class weka.core.matrix.FlexibleDecimalFormat
 
FlexibleDecimalFormat(int, boolean, boolean, boolean) - Constructor for class weka.core.matrix.FlexibleDecimalFormat
 
FlexibleDecimalFormat(double) - Constructor for class weka.core.matrix.FlexibleDecimalFormat
 
FLOAT - Static variable in interface weka.core.expressionlanguage.parser.sym
 
FLOAT - Static variable in class weka.experiment.DatabaseUtils
Type mapping for FLOAT used for reading experiment results.
FloatingPointFormat - Class in weka.core.matrix
Class for the format of floating point numbers
FloatingPointFormat() - Constructor for class weka.core.matrix.FloatingPointFormat
Default constructor
FloatingPointFormat(int) - Constructor for class weka.core.matrix.FloatingPointFormat
 
FloatingPointFormat(int, int) - Constructor for class weka.core.matrix.FloatingPointFormat
 
FloatingPointFormat(int, int, boolean) - Constructor for class weka.core.matrix.FloatingPointFormat
 
FLOOR - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
FLOOR1 - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
Flow - Class in weka.knowledgeflow
Class that encapsulates the Steps involved in a Knowledge Flow process.
Flow() - Constructor for class weka.knowledgeflow.Flow
 
FLOW_DIRECTORY_KEY - Static variable in class weka.gui.knowledgeflow.KFGUIConsts
Flow file directory key
FLOW_FILE_EXTENSIONS - Static variable in class weka.knowledgeflow.Flow
Holds available file extensions for flow files handled
FLOW_NAME - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
FLOW_PARENT_DIRECTORY_VARIABLE_KEY - Static variable in class weka.gui.knowledgeflow.MainKFPerspective
Key for the environment variable that holds the parent directory of a loaded flow
flowBusy() - Method in class weka.knowledgeflow.FlowRunner
Checks to see if any step(s) are doing work
FlowByExpression - Class in weka.gui.beans
A bean that splits incoming instances (or instance streams) according to the evaluation of a logical expression.
FlowByExpression() - Constructor for class weka.gui.beans.FlowByExpression
Constructor
FlowByExpression - Class in weka.knowledgeflow.steps
A step that splits incoming instances (or instance streams) according to the evaluation of a logical expression.
FlowByExpression() - Constructor for class weka.knowledgeflow.steps.FlowByExpression
 
FlowByExpression.BracketNode - Class in weka.knowledgeflow.steps
An expression node that encloses other expression nodes in brackets
FlowByExpression.ExpressionClause - Class in weka.knowledgeflow.steps
An expression node that represents a clause of an expression
FlowByExpression.ExpressionClause.ExpressionType - Enum in weka.knowledgeflow.steps
 
FlowByExpression.ExpressionNode - Class in weka.knowledgeflow.steps
Abstract base class for parts of a boolean expression.
FlowByExpressionBeanInfo - Class in weka.gui.beans
BeanInfo class for FlowByExpression
FlowByExpressionBeanInfo() - Constructor for class weka.gui.beans.FlowByExpressionBeanInfo
 
FlowByExpressionCustomizer - Class in weka.gui.beans
Customizer for the FlowByExpression node
FlowByExpressionCustomizer() - Constructor for class weka.gui.beans.FlowByExpressionCustomizer
Constructor
FlowByExpressionStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the FlowByExpression step
FlowByExpressionStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.FlowByExpressionStepEditorDialog
 
FlowExecutor - Interface in weka.knowledgeflow
Interface to something that can execute a Knowledge Flow process
FlowLoader - Interface in weka.knowledgeflow
Interface to something that can load a Knowledge Flow
FlowRunner - Class in weka.gui.beans
Small utility class for executing KnowledgeFlow flows outside of the KnowledgeFlow application
FlowRunner() - Constructor for class weka.gui.beans.FlowRunner
Constructor
FlowRunner(boolean, boolean) - Constructor for class weka.gui.beans.FlowRunner
 
FlowRunner - Class in weka.knowledgeflow
A FlowExecutor that can launch start points in a flow in parallel or sequentially.
FlowRunner() - Constructor for class weka.knowledgeflow.FlowRunner
Constructor
FlowRunner(Settings) - Constructor for class weka.knowledgeflow.FlowRunner
Constructor
FlowRunner.SimpleLogger - Class in weka.gui.beans
 
FlowRunner.SimpleLogger - Class in weka.knowledgeflow
A simple logging implementation that writes to standard out
flowToJSON(Flow) - Static method in class weka.knowledgeflow.JSONFlowUtils
Utility routine to serialize a supplied flow to a JSON string
flush() - Method in class weka.core.logging.OutputLogger.OutputPrintStream
ignored.
flush() - Method in class weka.core.Tee
flushes all the printstreams.
fMeasure(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the F-Measure with respect to a particular class.
fMeasure(double, double) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the F-Measure with respect to a particular class.
fMeasure(int) - Method in class weka.classifiers.Evaluation
Calculate the F-Measure with respect to a particular class.
FMEASURE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: FMeasure
FOLD_FIELD_NAME - Static variable in class weka.experiment.CrossValidationResultProducer
The name of the key field containing the fold number
foldsTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns the tip text for this property
foldsTipText() - Method in class weka.attributeSelection.OneRAttributeEval
Returns a string for this option suitable for display in the gui as a tip text
foldsTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns the tip text for this property
foldsTipText() - Method in class weka.classifiers.rules.JRip
Returns the tip text for this property
foldsTipText() - Method in class weka.gui.beans.CrossValidationFoldMaker
Tip text for this property
foldTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Returns the tip text for this property
foldTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Returns the tip text for this property
FontHelper - Class in weka.core
Wrapper class for Font objects.
FontHelper(Font) - Constructor for class weka.core.FontHelper
Constructor
FontHelper() - Constructor for class weka.core.FontHelper
No-op constructor (for beans conformity)
forCapabilities(Capabilities) - Static method in class weka.core.TestInstances
returns a TestInstances instance setup already for the the given capabilities.
FORCE_RESAMPLE_WITH_WEIGHTS - Static variable in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
command-line option for resampling with weights.
forceResampleWithWeightsTipText() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Returns the tip text for this property
forInstances(Instances) - Static method in class weka.core.Capabilities
returns a Capabilities object specific for this data.
forInstances(Instances, boolean) - Static method in class weka.core.Capabilities
returns a Capabilities object specific for this data.
format(double, StringBuffer, FieldPosition) - Method in class weka.core.matrix.ExponentialFormat
 
format(double, StringBuffer, FieldPosition) - Method in class weka.core.matrix.FlexibleDecimalFormat
 
format(double, StringBuffer, FieldPosition) - Method in class weka.core.matrix.FloatingPointFormat
 
FORMAT_AVAILABLE - Static variable in class weka.gui.beans.InstanceEvent
 
FORMAT_AVAILABLE - Static variable in class weka.gui.streams.InstanceEvent
Specifies that the instance format is available
FORMAT_HHMMSS - Static variable in class weka.core.Debug.Clock
the output format in hours:minutes:seconds, with fraction of msecs
FORMAT_MILLISECONDS - Static variable in class weka.core.Debug.Clock
the output format in milli-seconds
FORMAT_SECONDS - Static variable in class weka.core.Debug.Clock
the output format in seconds, with fraction of msecs
formatDate(double) - Method in class weka.core.Attribute
Returns the given amount of milliseconds formatted according to the current Date format.
formatString(String) - Method in class weka.core.matrix.FlexibleDecimalFormat
 
formatTipText() - Method in class weka.datagenerators.DataGenerator
Returns the tip text for this property
forName(String, String[]) - Static method in class weka.associations.AbstractAssociator
Creates a new instance of a associator given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.attributeSelection.ASEvaluation
Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.attributeSelection.ASSearch
Creates a new instance of a search class given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.classifiers.AbstractClassifier
Creates a new instance of a classifier given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.classifiers.functions.supportVector.Kernel
Creates a new instance of a kernel given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.clusterers.AbstractClusterer
Creates a new instance of a clusterer given it's class name and (optional) arguments to pass to it's setOptions method.
forName(Class<?>, String, String[]) - Static method in class weka.core.ResourceUtils
Creates a new instance of an object given it's class name and (optional) arguments to pass to it's setOptions method.
forName(Class<?>, String, String[]) - Static method in class weka.core.Utils
Creates a new instance of an object given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String) - Static method in class weka.core.WekaPackageClassLoaderManager
Return the class object for the supplied class name.
forName(String, boolean) - Static method in class weka.core.WekaPackageClassLoaderManager
Return the class object for the supplied class name.
forName(String, String[]) - Static method in class weka.estimators.Estimator
Creates a new instance of a estimator given it's class name and (optional) arguments to pass to it's setOptions method.
foundUsefulAttribute() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns true if a usable attribute was found.
foundUsefulAttribute() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
Returns true if a usable attribute was found.
FP_RATE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: False Positive Rate"
FPGrowth - Class in weka.associations
Class implementing the FP-growth algorithm for finding large item sets without candidate generation.
FPGrowth() - Constructor for class weka.associations.FPGrowth
Construct a new FPGrowth object.
FProbability(double, int, int) - Static method in class weka.core.Statistics
Computes probability of F-ratio.
freeNotCoveredInstances() - Method in class weka.classifiers.trees.m5.Rule
Free up memory consumed by the set of instances not covered by this rule.
FREQ_ASCEND - Static variable in class weka.filters.supervised.attribute.ClassOrder
The class values are sorted in ascending order based on their frequencies
FREQ_DESCEND - Static variable in class weka.filters.supervised.attribute.ClassOrder
The class values are sorted in descending order based on their frequencies
fromCommandline(String) - Static method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns a fully configured object from the given commandline.
FromFile - Class in weka.classifiers.bayes.net.search.fixed
The FromFile reads the structure of a Bayes net from a file in BIFF format.
FromFile() - Constructor for class weka.classifiers.bayes.net.search.fixed.FromFile
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.CATSCORINGMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.COMPAREFUNCTION
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.DATATYPE
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.DELIMITER2
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.GAP
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.INTERPOLATIONMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.LINKFUNCTION
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.MININGFUNCTION
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.NNNORMALIZATIONMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.NOTRUECHILDSTRATEGY
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.OPTYPE
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.RESULTFEATURE
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.RULEFEATURE
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.SVMCLASSIFICATIONMETHOD
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.SVMREPRESENTATION
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMEANCHOR2
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMEEXCEPTIONTYPE
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESUSAGE
 
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.VALIDTIMESPEC
 
fromXML(Document) - Method in class weka.core.xml.XMLSerialization
returns the given DOM document as an instance of the specified class
fullValue() - Method in class weka.gui.HierarchyPropertyParser
The full value of the current node, i.e.
Function - Class in weka.core.pmml
Abstract superclass for PMML built-in and DefineFunctions.
Function() - Constructor for class weka.core.pmml.Function
 
FUNCTION_1 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 1
FUNCTION_10 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 10
FUNCTION_2 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 2
FUNCTION_3 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 3
FUNCTION_4 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 4
FUNCTION_5 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 5
FUNCTION_6 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 6
FUNCTION_7 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 7
FUNCTION_8 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 8
FUNCTION_9 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
function 9
FUNCTION_TAGS - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
the funtion tags
functionTipText() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Returns the tip text for this property

G

gainRatio() - Method in class weka.classifiers.trees.j48.BinC45Split
Returns (C4.5-type) gain ratio for the generated split.
gainRatio() - Method in class weka.classifiers.trees.j48.C45Split
Returns (C4.5-type) gain ratio for the generated split.
gainRatio(double[][]) - Static method in class weka.core.ContingencyTables
Computes gain ratio for contingency table (split on rows).
GainRatioAttributeEval - Class in weka.attributeSelection
GainRatioAttributeEval :

Evaluates the worth of an attribute by measuring the gain ratio with respect to the class.

GainR(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).

Valid options are:

GainRatioAttributeEval() - Constructor for class weka.attributeSelection.GainRatioAttributeEval
Constructor
GainRatioSplitCrit - Class in weka.classifiers.trees.j48
Class for computing the gain ratio for a given distribution.
GainRatioSplitCrit() - Constructor for class weka.classifiers.trees.j48.GainRatioSplitCrit
 
gamma(double) - Static method in class weka.core.Statistics
Returns the Gamma function of the argument.
gammaTipText() - Method in class weka.classifiers.functions.supportVector.RBFKernel
Returns the tip text for this property
GAP - Enum in weka.core.pmml.jaxbbindings
Java class for GAP.
GAUSS - Static variable in class weka.classifiers.lazy.LWL
 
GAUSSIAN - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
cluster type: gaussian
GAUSSIAN - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
distribution type: gaussian
GaussianConditionalSufficientStats - Class in weka.classifiers.trees.ht
Maintains sufficient stats for a Gaussian distribution for a numeric attribute
GaussianConditionalSufficientStats() - Constructor for class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
 
GaussianDistribution - Class in weka.core.pmml.jaxbbindings
Java class for GaussianDistribution element declaration.
GaussianDistribution() - Constructor for class weka.core.pmml.jaxbbindings.GaussianDistribution
 
GaussianProcesses - Class in weka.classifiers.functions
* Implements Gaussian processes for regression without hyperparameter-tuning.
GaussianProcesses() - Constructor for class weka.classifiers.functions.GaussianProcesses
 
GE - Static variable in interface weka.core.expressionlanguage.parser.sym
 
GeneralRegression - Class in weka.classifiers.pmml.consumer
Class implementing import of PMML General Regression model.
GeneralRegression(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.GeneralRegression
Constructs a GeneralRegression classifier.
GeneralRegressionModel - Class in weka.core.pmml.jaxbbindings
Java class for GeneralRegressionModel element declaration.
GeneralRegressionModel() - Constructor for class weka.core.pmml.jaxbbindings.GeneralRegressionModel
 
generate() - Method in class weka.core.Javadoc
generates either the plain Javadoc (if no filename specified) or the updated file (if a filename is specified).
generate() - Method in class weka.core.ListOptions
generates the options string.
generate() - Method in class weka.core.TestInstances
Generates a new dataset
generate(String) - Method in class weka.core.TestInstances
generates a new dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.LED24
Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.RDG1
Generate an example of the dataset dataset.
generateExample() - Method in class weka.datagenerators.classifiers.regression.Expression
Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Generate an example of the dataset.
generateExample() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Generate an example of the dataset.
generateExample() - Method in class weka.datagenerators.DataGenerator
Generates one example of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.LED24
Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.RDG1
Generate all examples of the dataset.
generateExamples(int, Random, Instances) - Method in class weka.datagenerators.classifiers.classification.RDG1
Generate all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.regression.Expression
Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Generate all examples of the dataset.
generateExamples(Random, Instances) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Generate all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Generate all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.DataGenerator
Generates all examples of the dataset.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.LED24
Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.RDG1
Compiles documentation about the data generation.
generateFinished() - Method in class weka.datagenerators.classifiers.regression.Expression
Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Compiles documentation about the data generation after the generation process
generateFinished() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Compiles documentation about the data generation after the generation process
generateFinished() - Method in class weka.datagenerators.DataGenerator
Generates a comment string that documentates the data generator.
generateHelp() - Method in class weka.core.Javadoc
generates a string to print as help on the console
generateHelp() - Method in class weka.core.ListOptions
generates a string to print as help on the console
generateInstances() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
GenerateInstances generates random instances sampling from the distribution represented by the Bayes network structure.
generateInstances(int[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
Generate an instance.
generateInstances(int[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
Generates a new instance using one kernel estimator.
generateInstances() - Method in class weka.gui.explorer.PreprocessPanel
sets Instances generated via DataGenerators (pops up a Dialog)
generateOutput() - Method in class weka.gui.visualize.BMPWriter
generates the actual output.
generateOutput() - Method in class weka.gui.visualize.JPEGWriter
generates the actual output.
generateOutput() - Method in class weka.gui.visualize.PNGWriter
generates the actual output.
generateOutput() - Method in class weka.gui.visualize.PostscriptWriter
generates the actual output
generatePartition(Instances) - Method in class weka.classifiers.meta.Bagging
Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.meta.RandomCommittee
Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.trees.J48
Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.trees.RandomTree
Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.trees.REPTree
Builds the classifier to generate a partition.
generatePartition(Instances) - Method in interface weka.core.PartitionGenerator
Builds the classifier to generate a partition.
generateRandomNetwork() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
Generate random connected Bayesian network with discrete nodes having all the same cardinality.
generateRandomNetworkStructure(int, int) - Method in class weka.classifiers.bayes.net.BayesNetGenerator
GenerateRandomNetworkStructure generate random connected Bayesian network
generateRankingTipText() - Method in class weka.attributeSelection.GreedyStepwise
Returns the tip text for this property
generateRankingTipText() - Method in class weka.attributeSelection.Ranker
Returns the tip text for this property
generateRules(double, ArrayList<Hashtable<ItemSet, Integer>>, int) - Method in class weka.associations.AprioriItemSet
Generates all rules for an item set.
generateRules(double, boolean) - Method in class weka.associations.LabeledItemSet
Generates rules out of item sets
generateRulesBruteForce(double, int, ArrayList<Hashtable<ItemSet, Integer>>, int, int, double) - Method in class weka.associations.AprioriItemSet
Generates all significant rules for an item set.
generateRulesBruteForce(FPGrowth.FrequentItemSets, DefaultAssociationRule.METRIC_TYPE, double, int, int, int) - Static method in class weka.associations.FPGrowth
Generate all association rules, from the supplied frequet item sets, that meet a given minimum metric threshold.
generateRulesTipText() - Method in class weka.classifiers.trees.m5.M5Base
Returns the tip text for this property
generatesOutput() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns whether regular output is generated or not.
generatesOutput() - Method in class weka.classifiers.evaluation.output.prediction.Null
Returns always false.
generateStart() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.classification.LED24
Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.classification.RDG1
Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.regression.Expression
Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Compiles documentation about the data generation before the generation process
generateStart() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Compiles documentation about the data generation before the generation process
generateStart() - Method in class weka.datagenerators.DataGenerator
Generates a comment string that documentates the data generator.
GeneratorPropertyIteratorPanel - Class in weka.gui.experiment
This panel controls setting a list of values for an arbitrary resultgenerator property for an experiment to iterate over.
GeneratorPropertyIteratorPanel() - Constructor for class weka.gui.experiment.GeneratorPropertyIteratorPanel
Creates the property iterator panel initially disabled.
GeneratorPropertyIteratorPanel(Experiment) - Constructor for class weka.gui.experiment.GeneratorPropertyIteratorPanel
Creates the property iterator panel and sets the experiment.
GenericArrayEditor - Class in weka.gui
A PropertyEditor for arrays of objects that themselves have property editors.
GenericArrayEditor() - Constructor for class weka.gui.GenericArrayEditor
 
GenericObjectEditor - Class in weka.gui
A PropertyEditor for objects.
GenericObjectEditor() - Constructor for class weka.gui.GenericObjectEditor
Default constructor.
GenericObjectEditor(boolean) - Constructor for class weka.gui.GenericObjectEditor
Constructor that allows specifying whether it is possible to change the class within the editor dialog.
GenericObjectEditor.CapabilitiesFilterDialog - Class in weka.gui
A dialog for selecting Capabilities to look for in the GOE tree.
GenericObjectEditor.GOEPanel - Class in weka.gui
Handles the GUI side of editing values.
GenericObjectEditor.GOETreeNode - Class in weka.gui
A specialized TreeNode for supporting filtering via Capabilities.
GenericObjectEditor.JTreePopupMenu - Class in weka.gui
Creates a popup menu containing a tree that is aware of the screen dimensions.
GenericObjectEditorHistory - Class in weka.gui
A helper class for maintaining a history of objects selected in the GOE.
GenericObjectEditorHistory() - Constructor for class weka.gui.GenericObjectEditorHistory
Initializes the history.
GenericObjectEditorHistory.HistorySelectionEvent - Class in weka.gui
Event that gets sent when a history item gets selected.
GenericObjectEditorHistory.HistorySelectionListener - Interface in weka.gui
Interface for classes that listen to selections of history items.
GenericPropertiesCreator - Class in weka.gui
This class can generate the properties object that is normally loaded from the GenericObjectEditor.props file (= PROPERTY_FILE).
GenericPropertiesCreator() - Constructor for class weka.gui.GenericPropertiesCreator
initializes the creator, locates the props file with the Utils class.
GenericPropertiesCreator(String) - Constructor for class weka.gui.GenericPropertiesCreator
initializes the creator, the given file overrides the props-file search of the Utils class
GeneticSearch - Class in weka.classifiers.bayes.net.search.global
This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
GeneticSearch() - Constructor for class weka.classifiers.bayes.net.search.global.GeneticSearch
 
GeneticSearch - Class in weka.classifiers.bayes.net.search.local
This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
GeneticSearch() - Constructor for class weka.classifiers.bayes.net.search.local.GeneticSearch
 
get(int) - Method in class weka.core.Instances
Returns the instance at the given position.
get(int) - Method in class weka.core.matrix.DoubleVector
Gets a single element.
get(int) - Method in class weka.core.matrix.IntVector
Gets the value of an element.
get(int, int) - Method in class weka.core.matrix.Matrix
Get a single element.
get(int) - Method in class weka.core.PropertyPath.Path
returns the element at the given index
get(int) - Method in class weka.core.Tee
returns the specified PrintStream from the list.
get(String) - Method in class weka.core.xml.MethodHandler
returns the stored method for the given property
get(Class<?>) - Method in class weka.core.xml.MethodHandler
returns the stored method for the given class
get(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Returns the element at the specified position in this list.
get(String, String) - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the value for the specified property, if non-existent then the default value.
get(String, String) - Static method in class weka.gui.explorer.ExplorerDefaults
returns the value for the specified property, if non-existent then the default value.
GET_PERSPECTIVE_NAMES_KEY - Static variable in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
Command ID
getAboutPanel() - Method in class weka.gui.PropertySheetPanel
Return the panel containing global info and help for the object being edited.
getAbsoluteValue() - Method in class weka.core.pmml.jaxbbindings.Coefficients
Gets the value of the absoluteValue property.
getAccu() - Method in class weka.classifiers.rules.JRip.Antd
 
getAccuRate() - Method in class weka.classifiers.rules.JRip.Antd
 
getActionListener(JFrame) - Method in interface weka.gui.MainMenuExtension
If the extension has a custom ActionListener for the menu item, then it must be returned here.
getActivationFunction() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Gets the value of the activationFunction property.
getActivationFunction() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the activationFunction property.
getActualIndex(int) - Method in class weka.core.AttributeLocator
returns actual index in the Instances object.
getActualRow(int) - Method in class weka.gui.SortedTableModel
Returns the actual underlying row the given visible one represents.
getActualT1() - Method in class weka.clusterers.Canopy
Get the actual value of T1 (which may be different from the initial value if the heuristic is used)
getActualT2() - Method in class weka.clusterers.Canopy
Get the actual value of T2 (which may be different from the initial value if the heuristic is used)
getAcuity() - Method in class weka.clusterers.Cobweb
get the acuity value
getAdditional() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
Returns the additional information.
getAddMatchingEndBlocks() - Method in class weka.gui.scripting.SyntaxDocument
Returns whether matching block ends are inserted or not.
getAddress() - Static method in class weka.core.Copyright
returns the address of the owner
getAdjRSquared() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the adjRSquared property.
getAdjustWeights() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns true if instance weights will be adjusted to maintain total weight per class.
getADTree() - Method in class weka.classifiers.bayes.BayesNet
get ADTree strucrture containing efficient representation of counts.
getAdvanceDataSetFirst() - Method in class weka.experiment.Experiment
Get the value of m_DataSetFirstFirst.
getAffinity() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the affinity property.
getAggregate() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the aggregate property.
getAggregate() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the aggregate property.
getAggregate() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the aggregate property.
getAIC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the aic property.
getAICc() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the aiCc property.
getAlgorithm() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the algorithm property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TextModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the value of the algorithmName property.
getAllDependenciesForPackage(Package, Map<String, List<Dependency>>) - Method in class weka.core.packageManagement.DefaultPackageManager
Gets a full list of packages (encapsulated in Dependency objects) that are required by directly and indirectly by the named target package.
getAllDependenciesForPackage(Package, Map<String, List<Dependency>>) - Method in class weka.core.packageManagement.PackageManager
Gets a full list of packages (encapsulated in Dependency objects) that are required by directly and indirectly by the named target package.
getAllDependenciesForPackage(Package, Map<String, List<Dependency>>) - Static method in class weka.core.WekaPackageManager
Get a list of dependencies for a given package
getAllEvaluationMetricNames() - Static method in class weka.classifiers.evaluation.Evaluation
Utility method to get a list of the names of all built-in and plugin evaluation metrics
getAllEvaluationMetricNames() - Static method in class weka.classifiers.Evaluation
Utility method to get a list of the names of all built-in and plugin evaluation metrics
getAllMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
Get a list of all available evaluation metric names
getAllowedIndices() - Method in class weka.core.AttributeLocator
returns the indices that are allowed to check for the attribute type
getAllowMultipleTabs() - Method in class weka.gui.beans.KnowledgeFlowApp
 
getAllowMultipleTabs() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Returns true if the perspective is allowing multiple tabs to be open
getAllowUnclassifiedInstances() - Method in class weka.classifiers.trees.RandomTree
Gets whether tree is allowed to abstain from making a prediction.
getAllPackages(PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
Get all packages that the system knows about (i.e.
getAllPackages(PrintStream...) - Method in class weka.core.packageManagement.PackageManager
Get all packages that the system knows about (i.e.
getAllPackages() - Static method in class weka.core.WekaPackageManager
Get a list of all packages
getAllTheRules() - Method in class weka.associations.Apriori
returns all the rules
getAlpha() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Get prior used in probability table estimation
getAlpha() - Method in class weka.core.pmml.jaxbbindings.Level
Gets the value of the alpha property.
getAlternate() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the alternate property.
getAlternateTargetCategory() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Gets the value of the alternateTargetCategory property.
getAltitude() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Gets the value of the altitude property.
getAltitude() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the altitude property.
getAltitude() - Method in class weka.core.pmml.jaxbbindings.Neuron
Gets the value of the altitude property.
getAmplitude() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Gets the amplitude multiplier.
getAnimatedIcon() - Method in class weka.gui.beans.BeanVisual
Returns the animated icon
getAnimatedIconPath() - Method in class weka.gui.beans.BeanVisual
returns the path for the animated icon
getAnnotation() - Method in class weka.core.pmml.jaxbbindings.Header
Gets the value of the annotation property.
getAnova() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Gets the value of the anova property.
getAnovaRow() - Method in class weka.core.pmml.jaxbbindings.Anova
Gets the value of the anovaRow property.
getAntds() - Method in class weka.classifiers.rules.JRip.RipperRule
Return the antecedents
getAntecedent() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the antecedent property.
getAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
Gets the value of the anyDistribution property.
getAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
Gets the value of the anyDistribution property.
getAppend() - Method in class weka.gui.beans.TextSaver
 
getAppend() - Method in class weka.knowledgeflow.steps.TextSaver
get whether the file should be appended to rather than overwritten
getAppendPredictedProbabilities() - Method in class weka.gui.beans.PredictionAppender
Return true if predicted probabilities are to be appended rather than class value
getAppendProbabilities() - Method in class weka.knowledgeflow.steps.PredictionAppender
Get whether to append probability distributions rather than predicted classes
getApplication() - Method in class weka.core.pmml.jaxbbindings.Header
Gets the value of the application property.
getApplicationDefaults() - Method in interface weka.gui.GUIApplication
Get the default values of settings for this application
getApplicationDefaults() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
Get the default settings for this application
getApplicationDefaults() - Method in class weka.gui.WorkbenchApp
Get the default settings for this application
getApplicationID() - Method in interface weka.gui.GUIApplication
Get the ID of this application - any string unique to this application can be used
getApplicationID() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
Get the ID of this application
getApplicationID() - Method in class weka.gui.WorkbenchApp
Get the ID of this application
getApplicationName() - Method in interface weka.gui.GUIApplication
Get the name of this application
getApplicationName() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
Get the name to display in title bar of the enclosing JFrame for the plugin
getApplicationName() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
Get the name of this application
getApplicationName() - Method in class weka.gui.WorkbenchApp
Get the name of this application
getApplicationSettings() - Method in class weka.gui.AbstractGUIApplication
Get the current settings for this application
getApplicationSettings() - Method in interface weka.gui.GUIApplication
Get the current settings for this application
getApplicationSettings() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
Get the settings for this application
getApply() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the apply property.
getApply() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the apply property.
getApply() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the apply property.
getArffFile() - Method in class weka.gui.streams.InstanceLoader
 
getArffFile() - Method in class weka.gui.streams.InstanceSavePanel
 
getArgs() - Method in class weka.gui.scripting.Script.ScriptThread
Returns the commandline args.
getArray() - Method in class weka.core.matrix.DoubleVector
Access the internal one-dimensional array.
getArray() - Method in class weka.core.matrix.IntVector
Access the internal one-dimensional array.
getArray() - Method in class weka.core.matrix.Matrix
Access the internal two-dimensional array.
getArray() - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.ClassLabels
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.Cluster
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.TimeException
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.XCoordinates
Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.YCoordinates
Gets the value of the array property.
getArrayClass(Class<?>) - Static method in class weka.core.Utils
Returns the basic class of an array class (handles multi-dimensional arrays).
getArrayCopy() - Method in class weka.core.matrix.DoubleVector
Returns a copy of the DoubleVector usng a double array.
getArrayCopy() - Method in class weka.core.matrix.IntVector
Returns a copy of the internal one-dimensional array.
getArrayCopy() - Method in class weka.core.matrix.Matrix
Copy the internal two-dimensional array.
getArrayDimensions(Class<?>) - Static method in class weka.core.Utils
Returns the dimensions of the given array.
getArrayDimensions(Object) - Static method in class weka.core.Utils
Returns the dimensions of the given array.
getASCrossvalidationFolds() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default number of folds of the CV in the attribute selection panel.
getASEvaluator() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default attribute evalautor (fully configured) for the attribute selection panel.
getAsInstance(Instances, Random) - Method in class weka.core.AlgVector
Gets the elements of the vector as an instance.
getASRandomSeed() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default random seed value in the attribute selection panel.
getASSearch() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default attribute selection search scheme (fully configured) for the attribute selection panel.
getAssignments() - Method in class weka.clusterers.SimpleKMeans
Gets the assignments for each instance.
getAssociatedConnections() - Method in class weka.gui.beans.MetaBean
 
getAssociationModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the associationModel property.
getAssociationModelOrBaselineModelOrClusteringModels() - Method in class weka.core.pmml.jaxbbindings.PMML
Gets the value of the associationModelOrBaselineModelOrClusteringModel property.
getAssociationRules() - Method in class weka.associations.Apriori
 
getAssociationRules() - Method in interface weka.associations.AssociationRulesProducer
Gets the list of mined association rules.
getAssociationRules() - Method in class weka.associations.FilteredAssociator
Gets the list of mined association rules.
getAssociationRules() - Method in class weka.associations.FPGrowth
Gets the list of mined association rules.
getAssociator() - Method in class weka.associations.CheckAssociator
Get the associator being tested
getAssociator() - Method in class weka.associations.SingleAssociatorEnhancer
Get the associator used as the base associator.
getAssociator() - Method in class weka.gui.beans.Associator
Get the associator currently set for this wrapper
getAssociator() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default associator (fully configured) for the associations panel.
getAssociator() - Method in class weka.knowledgeflow.steps.Associator
Get the associator to use.
getASTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default attribute selection test mode for the attribute selection panel.
getAsText() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
getAsText() - Method in class weka.gui.ColorEditor
Not representable as a string
getAsText() - Method in class weka.gui.CostMatrixEditor
Some objects can be represented as text, but a cost matrix cannot.
getAsText() - Method in class weka.gui.EnvironmentField
 
getAsText() - Method in class weka.gui.GenericArrayEditor
Returns null as we don't support getting/setting values as text.
getAsText() - Method in class weka.gui.GenericObjectEditor
Returns null as we don't support getting/setting values as text.
getAsText() - Method in class weka.gui.PasswordField
 
getAsText() - Method in class weka.gui.RangeEditor
Gets the current value as text.
getAsText() - Method in class weka.gui.SelectedTagEditor
Gets the current value as text.
getAsText() - Method in class weka.gui.SimpleDateFormatEditor
Returns the date format string.
getAttList_Irr() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the array that defines which of the attributes are seen to be irrelevant.
getAttr() - Method in class weka.classifiers.rules.JRip.Antd
 
getAttribute() - Method in class weka.associations.Item
Get the attribute that this item originates from.
getAttribute() - Method in class weka.core.pmml.jaxbbindings.Characteristic
Gets the value of the attribute property.
getAttribute() - Method in class weka.knowledgeflow.steps.Sorter.SortRule
Get the name or index of the attribute to sort on
getAttribute1() - Method in class weka.gui.visualize.VisualizePanelEvent
 
getAttribute2() - Method in class weka.gui.visualize.VisualizePanelEvent
 
getAttributeAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns the attribute at the given index, can be NULL if not an attribute column
getAttributeAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
returns the attribute at the given index, can be NULL if not an attribute column
getAttributeCapabilities() - Method in class weka.core.Capabilities
returns all attribute capabilities
getAttributeColumn(String) - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns the column of the given attribute name, -1 if not found
getAttributeColumn(String) - Method in class weka.gui.arffviewer.ArffTableModel
returns the column of the given attribute name, -1 if not found
getAttributeID() - Method in class weka.experiment.ClassifierSplitEvaluator
Get the index of Attibute Identifying the instances
getAttributeIndex() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns the index of the attribute used in the regression.
getAttributeIndex() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
Returns the index of the attribute used in the regression.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.Add
Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.AddNoise
Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.AddValues
Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Gets the index of the attribute converted.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Get the index of the attribute used.
getAttributeIndex(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
Returns the attribute index for the given column index.
getAttributeIndex(int) - Method in class weka.gui.arffviewer.ArffTableModel
Returns the attribute index for the given column index.
getAttributeIndexes() - Method in class weka.filters.unsupervised.attribute.NominalToString
Get the index of the attribute used.
getAttributeIndices() - Method in class weka.core.AttributeLocator
Returns the indices of the attributes.
getAttributeIndices() - Method in class weka.core.converters.DictionarySaver
Gets the current range selection.
getAttributeIndices() - Method in class weka.core.DictionaryBuilder
Gets the current range selection.
getAttributeIndices() - Method in interface weka.core.DistanceFunction
Gets the range of attributes used in the calculation of the distance.
getAttributeIndices() - Method in class weka.core.FilteredDistance
Gets the range of attributes used in the calculation of the distance.
getAttributeIndices() - Method in class weka.core.NormalizableDistance
Gets the range of attributes used in the calculation of the distance.
getAttributeIndices() - Method in class weka.filters.supervised.attribute.Discretize
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Get the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Copy
Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Discretize
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.FirstOrder
Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Gets the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Get the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Gets the selection of the columns, e.g., first-last or first-3,5-last
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Remove
Get the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Gets the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Reorder
Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.SortLabels
Gets the current selected attributes.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets the current range selection.
getAttributeName() - Method in class weka.filters.unsupervised.attribute.Add
Get the name of the attribute to be created.
getAttributeName() - Method in class weka.filters.unsupervised.attribute.AddID
Get the name of the attribute to be created
getAttributeNamePrefix() - Method in class weka.core.DictionaryBuilder
Get the attribute name prefix.
getAttributeNamePrefix() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Get the attribute name prefix.
getAttributeNamePrefix() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Get the attribute name prefix.
getAttributeRange() - Method in class weka.filters.unsupervised.attribute.StringToNominal
Get the range of indices of the attributes used.
getAttributes() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the range of attributes to output.
getAttributes() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
 
getAttributes() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Get the list of attributes to consider for replacing missing values
getAttributes() - Method in class weka.gui.arffviewer.ArffPanel
returns a list with the attributes
getAttributeSelectionMethod() - Method in class weka.classifiers.functions.LinearRegression
Gets the method used to select attributes for use in the linear regression.
getAttributeSpecs() - Method in class weka.filters.unsupervised.attribute.AddUserFields
Get the list of attribute specs to use to create the new attributes.
getAttributesToOperateOn() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Get the attributes to operate on
getAttributeType() - Method in class weka.filters.unsupervised.attribute.Add
Gets the type of attribute to generate.
getAttributeType() - Method in class weka.filters.unsupervised.attribute.RemoveType
Gets the attribute type to be deleted by the filter.
getAttrIndexRange() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
returns the attribute range(s).
getAttrValue() - Method in class weka.classifiers.rules.JRip.Antd
 
getAttsToApplyTo() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Get the attributes to apply the rule to
getAttsToApplyTo() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Get the attributes to apply the rule to
getAutoBuild() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getAutoKeyGeneration() - Method in class weka.core.converters.DatabaseSaver
Gets whether or not a primary key will be generated automatically.
getAvailableCompatiblePackages() - Static method in class weka.core.WekaPackageManager
Get a list of the most recent version of all available packages (i.e.
getAvailableLookAndFeelClasses() - Static method in class weka.gui.LookAndFeel
Get a list of fully qualified class names of available look and feels
getAvailablePackages() - Method in class weka.core.packageManagement.DefaultPackageManager
Get a list of packages that are not currently installed.
getAvailablePackages() - Method in class weka.core.packageManagement.PackageManager
Get a list of packages that are not currently installed.
getAvailablePackages() - Static method in class weka.core.WekaPackageManager
Get a list of all available packages (i.e.
getAverage(int) - Method in class weka.experiment.ResultMatrix
returns the average of the mean at the given position, if the position is valid, otherwise 0.
getAverageDocLength() - Method in class weka.core.DictionaryBuilder
Get the average document length to use when normalizing
getAverageInstancesPerSecond() - Method in class weka.gui.beans.StreamThroughput
Get the average instances per second
getAvgNumberOfItemsPerTA() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the avgNumberOfItemsPerTA property.
getAvgNumberOfItemsPerTransaction() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the avgNumberOfItemsPerTransaction property.
getAvgNumberOfTAsPerTAGroup() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the avgNumberOfTAsPerTAGroup property.
getBackground() - Method in class weka.gui.visualize.BMPWriter
returns the current background color.
getBackground() - Method in class weka.gui.visualize.JPEGWriter
returns the current background color.
getBackground() - Method in class weka.gui.visualize.PNGWriter
returns the current background color.
getBackground() - Method in class weka.gui.visualize.PostscriptGraphics
 
getBackgroundColor() - Method in class weka.gui.scripting.SyntaxDocument
Returns the background color.
getBackup() - Method in class weka.gui.GenericObjectEditor
Returns the backup object (may be null if there is no backup.
getBagSizePercent() - Method in class weka.classifiers.meta.Bagging
Gets the size of each bag, as a percentage of the training set size.
getBalanceClass() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Gets whether the class is balanced.
getBallSplitter() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Returns the BallSplitter algorithm set that would be used by the TopDown BallTree constructor.
getBallTreeConstructor() - Method in class weka.core.neighboursearch.BallTree
Returns the BallTreeConstructor currently in use.
getBase() - Method in class weka.core.neighboursearch.CoverTree
Returns the base in use for expansion constant.
getBaseExperiment() - Method in class weka.experiment.RemoteExperiment
Get the base experiment used by this remote experiment
getBaseForSampling() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the base for sampling
getBaseline() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the baseline property.
getBaselineCell() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
Gets the value of the baselineCell property.
getBaselineCell() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
Gets the value of the baselineCell property.
getBaselineMethod() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the baselineMethod property.
getBaselineModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the baselineModel property.
getBaselineScore() - Method in class weka.core.pmml.jaxbbindings.Characteristic
Gets the value of the baselineScore property.
getBaselineScore() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the baselineScore property.
getBaselineStrataVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the baselineStrataVariable property.
getBaselineStratum() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
Gets the value of the baselineStratum property.
getBaseSystemDependency() - Method in class weka.core.packageManagement.DefaultPackage
Gets the dependency on the base system that this package requires.
getBaseSystemDependency() - Method in class weka.core.packageManagement.Package
Gets the dependency on the base system that this package requires.
getBaseSystemName() - Method in class weka.core.packageManagement.PackageManager
Get the name of the main software system for which we manage packages.
getBaseSystemVersion() - Method in class weka.core.packageManagement.PackageManager
Get the current installed version of the main system for which we manage packages.
getBatchSize() - Method in class weka.classifiers.AbstractClassifier
Get the preferred batch size for batch prediction.
getBatchSize() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Gets the preferred batch size from the base learner if it implements BatchPredictor.
getBatchSize() - Method in class weka.classifiers.meta.Bagging
Gets the preferred batch size from the base learner if it implements BatchPredictor.
getBatchSize() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Gets the preferred batch size from the base learner if it implements BatchPredictor.
getBatchSize() - Method in class weka.classifiers.meta.FilteredClassifier
Gets the preferred batch size from the base learner if it implements BatchPredictor.
getBatchSize() - Method in class weka.classifiers.meta.RandomCommittee
Gets the preferred batch size from the base learner if it implements BatchPredictor.
getBatchSize() - Method in class weka.classifiers.meta.RandomSubSpace
Gets the preferred batch size from the base learner if it implements BatchPredictor.
getBatchSize() - Method in interface weka.core.BatchPredictor
Get the batch size to use.
getBayesInput() - Method in class weka.core.pmml.jaxbbindings.BayesInputs
Gets the value of the bayesInput property.
getBean() - Method in class weka.gui.beans.BeanInstance
Gets the bean encapsulated in this instance
getBeanContext() - Method in class weka.gui.beans.AbstractDataSource
Return the bean context (if any) that this bean is embedded in
getBeanContext() - Method in class weka.gui.beans.CostBenefitAnalysis
 
getBeanContext() - Method in class weka.gui.beans.DataVisualizer
Return the bean context (if any) that this bean is embedded in
getBeanContext() - Method in class weka.gui.beans.GraphViewer
Return the bean context (if any) that this bean is embedded in
getBeanContext() - Method in class weka.gui.beans.ModelPerformanceChart
Return the bean context (if any) that this bean is embedded in
getBeanContext() - Method in class weka.gui.beans.TextViewer
Return the bean context (if any) that this bean is embedded in
getBeanDescriptor() - Method in class weka.filters.unsupervised.attribute.AddUserFieldsBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.AssociatorBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.AttributeSummarizerBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ClassAssignerBeanInfo
 
getBeanDescriptor() - Method in class weka.gui.beans.ClassifierBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
 
getBeanDescriptor() - Method in class weka.gui.beans.ClustererBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.CrossValidationFoldMakerBeanInfo
Return the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.DataVisualizerBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.FilterBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.FlowByExpressionBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ImageSaverBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
Return the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.JoinBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.LoaderBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ModelPerformanceChartBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.NoteBeanInfo
 
getBeanDescriptor() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
Return the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SaverBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SerializedModelSaverBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SorterBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.StripChartBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SubstringLabelerBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SubstringReplacerBeanInfo
Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.TextSaverBeanInfo
Get BeanDescriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.TrainTestSplitMakerBeanInfo
Get the bean descriptor for this bean
getBeanInfoInputs() - Method in class weka.gui.beans.MetaBean
 
getBeanInfoOutputs() - Method in class weka.gui.beans.MetaBean
 
getBeanInfoSubFlow() - Method in class weka.gui.beans.MetaBean
 
getBeanInstances(Integer...) - Static method in class weka.gui.beans.BeanInstance
Return the list of displayed beans
getBeanLayout(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getBeansInInputs() - Method in class weka.gui.beans.MetaBean
Return all the beans in the inputs
getBeansInOutputs() - Method in class weka.gui.beans.MetaBean
Return all the beans in the outputs
getBeansInSubFlow() - Method in class weka.gui.beans.MetaBean
Return all the beans in the sub flow
getBestClassifierIndex() - Method in class weka.classifiers.meta.MultiScheme
Get the index of the classifier that was determined as best during cross-validation.
getBestClassifierOptions() - Method in class weka.classifiers.meta.CVParameterSelection
Returns (a copy of) the best options found for the classifier.
getBestFit() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Gets the value of the bestFit property.
getBeta() - Method in class weka.core.pmml.jaxbbindings.PCell
Gets the value of the beta property.
getBias() - Method in class weka.classifiers.BVDecompose
Get the calculated bias squared
getBias() - Method in class weka.core.pmml.jaxbbindings.Neuron
Gets the value of the bias property.
getBiasToUniformClass() - Method in class weka.filters.supervised.instance.Resample
Gets the bias towards a uniform class.
getBIC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the bic property.
getBIFFile() - Method in class weka.classifiers.bayes.BayesNet
Get name of network in BIF file to compare with
getBIFFile() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
Get name of network in BIF file to read structure from
getBIFHeader() - Method in class weka.classifiers.bayes.BayesNet
 
getBinarizeNumericAttributes() - Method in class weka.attributeSelection.InfoGainAttributeEval
get whether numeric attributes are just being binarized.
getBinaryAttributesNominal() - Method in class weka.filters.supervised.attribute.NominalToBinary
Gets if binary attributes are to be treated as nominal ones.
getBinaryAttributesNominal() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Gets if binary attributes are to be treated as nominal ones.
getBinarySimilarity() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the binarySimilarity property.
getBinarySplits() - Method in class weka.classifiers.rules.PART
Get the value of binarySplits.
getBinarySplits() - Method in class weka.classifiers.trees.J48
Get the value of binarySplits.
getBinRangePrecision() - Method in class weka.filters.supervised.attribute.Discretize
Get the precision for bin boundaries.
getBinRangePrecision() - Method in class weka.filters.unsupervised.attribute.Discretize
Get the precision for bin boundaries.
getBinRangesString(int) - Method in class weka.filters.supervised.attribute.Discretize
Gets the bin ranges string for an attribute
getBinRangesString(int) - Method in class weka.filters.unsupervised.attribute.Discretize
Gets the bin ranges string for an attribute
getBins() - Method in class weka.filters.unsupervised.attribute.Discretize
Gets the number of bins numeric attributes will be divided into
getBins() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Ignored
getBinValue() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
Gets the value of the binValue property.
getBlockEnd() - Method in class weka.gui.scripting.SyntaxDocument
Returns the end of a block.
getBlockOnLastFold() - Method in class weka.gui.beans.Classifier
Gets whether we are blocking on the last fold of the last run rather than rejecting any further data until all processing has been completed.
getBlockStart() - Method in class weka.gui.scripting.SyntaxDocument
Returns the start of a block.
getBooleanCols() - Method in class weka.datagenerators.clusterers.SubspaceCluster
returns the range of boolean attributes.
getBooleanOperator() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
Gets the value of the booleanOperator property.
getBooleanOperator() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
Gets the value of the booleanOperator property.
getBorderInsets(Component) - Method in class weka.gui.beans.ShadowBorder
Returns a new Insets instance where the top and left are 1, the bottom and right fields are the border width + 1.
getBorderInsets(Component, Insets) - Method in class weka.gui.beans.ShadowBorder
Reinitializes the insets parameter with this ShadowBorder's current Insets.
getBorderInsets(Component) - Method in class weka.gui.knowledgeflow.ShadowBorder
Returns a new Insets instance where the top and left are 1, the bottom and right fields are the border width + 1.
getBorderInsets(Component, Insets) - Method in class weka.gui.knowledgeflow.ShadowBorder
Reinitialies the insets parameter with this ShadowBorder's current Insets.
getBoundaryValueMeans() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Gets the value of the boundaryValueMeans property.
getBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Gets the value of the boundaryValues property.
getBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
Gets the value of the boundaryValues property.
getBreakTiesRandomly() - Method in class weka.classifiers.trees.RandomForest
Get whether to break ties randomly.
getBreakTiesRandomly() - Method in class weka.classifiers.trees.RandomTree
Get whether to break ties randomly.
getBuffer() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the current buffer.
getBufferSize() - Method in class weka.core.converters.CSVLoader
Get the buffer size to use - i.e.
getBufferSize() - Method in class weka.gui.beans.Sorter
Get the size of the in-memory buffer
getBufferSize() - Method in class weka.knowledgeflow.steps.Sorter
Get the size of the in-memory buffer
getBuildCalibrationModels() - Method in class weka.classifiers.functions.SMO
Get the value of buildCalibrationModels.
getBuilder() - Method in class weka.core.xml.XMLDocument
returns the DocumentBuilder.
getBuildRegressionTree() - Method in class weka.classifiers.trees.m5.M5Base
Get the value of regressionTree.
getBuiltInMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
Get a list of built-in metric names
getBuiltinTemplateDescriptions() - Method in class weka.gui.knowledgeflow.TemplateManager
Get descriptions for the built-in knowledge flow templates
getBuiltinTemplateFlow(String) - Method in class weka.gui.knowledgeflow.TemplateManager
Get the built-in template flow corresponding to the description
getBusinessProblem() - Method in class weka.core.pmml.jaxbbindings.Decisions
Gets the value of the businessProblem property.
getC() - Method in class weka.classifiers.functions.SMO
Get the value of C.
getC() - Method in class weka.classifiers.functions.SMOreg
Get the value of C.
getC00Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the c00Parameter property.
getC01Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the c01Parameter property.
getC10Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the c10Parameter property.
getC11Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the c11Parameter property.
getCacheHits() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
return the number of kernel cache hits
getCacheKeyName() - Method in class weka.experiment.DatabaseResultListener
Get the value of CacheKeyName.
getCacheSize() - Method in class weka.classifiers.functions.supportVector.CachedKernel
Gets the size of the cache
getCacheSize() - Method in class weka.classifiers.functions.supportVector.StringKernel
Gets the size of the cache
getCacheValues(double) - Method in class weka.classifiers.lazy.kstar.KStarCache
Returns the values in the cache mapped by the specified key
getCalcOutOfBag() - Method in class weka.classifiers.meta.Bagging
Get whether the out of bag error is calculated.
getCalculatedNumToSelect() - Method in class weka.attributeSelection.GreedyStepwise
Gets the calculated number of attributes to retain.
getCalculatedNumToSelect() - Method in interface weka.attributeSelection.RankedOutputSearch
Gets the calculated number of attributes to retain.
getCalculatedNumToSelect() - Method in class weka.attributeSelection.Ranker
Gets the calculated number to select.
getCalculateStdDevs() - Method in class weka.experiment.AveragingResultProducer
Get the value of CalculateStdDevs.
getCalibrator() - Method in class weka.classifiers.functions.SMO
Returns the calibrator to use
getCanChangeClassInDialog() - Method in class weka.gui.GenericObjectEditor
Returns whether the user can change the class in the dialog.
getCanopies() - Method in class weka.clusterers.Canopy
Get the canopies (cluster centers).
getCanopyMaxNumCanopiesToHoldInMemory() - Method in class weka.clusterers.SimpleKMeans
Get the maximum number of candidate canopies to retain in memory during training.
getCanopyMinimumCanopyDensity() - Method in class weka.clusterers.SimpleKMeans
Get the minimum T2-based density below which a canopy will be pruned during periodic pruning.
getCanopyPeriodicPruningRate() - Method in class weka.clusterers.SimpleKMeans
Get the how often to prune low density canopies during training (if using canopy clustering)
getCanopyT1() - Method in class weka.clusterers.SimpleKMeans
Get the t1 radius to use when canopy clustering is being used as start points and/or to reduce the number of distance calcs
getCanopyT2() - Method in class weka.clusterers.SimpleKMeans
Get the t2 radius to use when canopy clustering is being used as start points and/or to reduce the number of distance calcs
getCapabilities() - Method in class weka.associations.AbstractAssociator
Returns the Capabilities of this associator.
getCapabilities() - Method in class weka.associations.Apriori
Returns default capabilities of the classifier.
getCapabilities() - Method in interface weka.associations.Associator
Returns the Capabilities of this associator.
getCapabilities() - Method in class weka.associations.FilteredAssociator
Returns default capabilities of the associator.
getCapabilities() - Method in class weka.associations.FPGrowth
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.associations.SingleAssociatorEnhancer
Returns default capabilities of the base associator.
getCapabilities() - Method in class weka.attributeSelection.ASEvaluation
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.CfsSubsetEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.CorrelationAttributeEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.GainRatioAttributeEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.InfoGainAttributeEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.OneRAttributeEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.PrincipalComponents
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.classifiers.AbstractClassifier
Returns the Capabilities of this classifier.
getCapabilities() - Method in class weka.classifiers.bayes.BayesNet
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayes
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns default capabilities of the classifier.
getCapabilities() - Method in interface weka.classifiers.Classifier
Returns the Capabilities of this classifier.
getCapabilities() - Method in class weka.classifiers.functions.GaussianProcesses
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.LinearRegression
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.Logistic
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.MultilayerPerceptron
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SGD
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SGDText
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SimpleLogistic
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SMO
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SMOreg
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.Kernel
Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.Puk
Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.RBFKernel
Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.VotedPerceptron
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.lazy.IBk
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.lazy.KStar
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.lazy.LWL
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.AdaBoostM1
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.AdditiveRegression
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.ClassificationViaRegression
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.CVParameterSelection
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.FilteredClassifier
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns default capabilities of the base classifier.
getCapabilities() - Method in class weka.classifiers.meta.LogitBoost
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.MultiClassClassifier
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.Stacking
Returns combined capabilities of the base classifiers, i.e., the capabilities all of them have in common.
getCapabilities() - Method in class weka.classifiers.meta.Vote
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.misc.SerializedClassifier
Returns default capabilities of the base classifier.
getCapabilities() - Method in class weka.classifiers.MultipleClassifiersCombiner
Returns combined capabilities of the base classifiers, i.e., the capabilities all of them have in common.
getCapabilities() - Method in class weka.classifiers.rules.DecisionTable
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.JRip
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.OneR
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.PART
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.ZeroR
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.SingleClassifierEnhancer
Returns default capabilities of the base classifier.
getCapabilities() - Method in class weka.classifiers.trees.DecisionStump
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.HoeffdingTree
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns default capabilities of the classifier tree.
getCapabilities() - Method in class weka.classifiers.trees.J48
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.LMT
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.m5.M5Base
Returns default capabilities of the classifier, i.e., of LinearRegression.
getCapabilities() - Method in class weka.classifiers.trees.RandomForest
Returns default capabilities of the base classifier.
getCapabilities() - Method in class weka.classifiers.trees.RandomTree
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.REPTree
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.clusterers.AbstractClusterer
Returns the Capabilities of this clusterer.
getCapabilities() - Method in class weka.clusterers.Canopy
Returns default capabilities of the clusterer.
getCapabilities() - Method in interface weka.clusterers.Clusterer
Returns the Capabilities of this clusterer.
getCapabilities() - Method in class weka.clusterers.Cobweb
Returns default capabilities of the clusterer.
getCapabilities() - Method in class weka.clusterers.EM
Returns default capabilities of the clusterer (i.e., the ones of SimpleKMeans).
getCapabilities() - Method in class weka.clusterers.FarthestFirst
Returns default capabilities of the clusterer.
getCapabilities() - Method in class weka.clusterers.FilteredClusterer
Returns default capabilities of the clusterer.
getCapabilities() - Method in class weka.clusterers.HierarchicalClusterer
 
getCapabilities() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns default capabilities of the clusterer (i.e., of the wrapper clusterer).
getCapabilities() - Method in class weka.clusterers.SimpleKMeans
Returns default capabilities of the clusterer.
getCapabilities() - Method in class weka.clusterers.SingleClustererEnhancer
Returns default capabilities of the clusterer.
getCapabilities() - Method in interface weka.core.CapabilitiesHandler
Returns the capabilities of this object.
getCapabilities() - Method in class weka.core.converters.AbstractSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.ArffSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.C45Saver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.CSVSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.DatabaseSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.DictionarySaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.JSONSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.LibSVMSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.MatlabSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.SerializedInstancesSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.SVMLightSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.XRFFSaver
Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.FindWithCapabilities
The capabilities to search for.
getCapabilities() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.DiscreteEstimator
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.Estimator
Returns the Capabilities of this Estimator.
getCapabilities() - Method in class weka.estimators.KernelEstimator
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.MahalanobisEstimator
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.NormalEstimator
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.PoissonEstimator
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.filters.AllFilter
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.Filter
Returns the Capabilities of this filter.
getCapabilities(Instances) - Method in class weka.filters.Filter
Returns the Capabilities of this filter, customized based on the data.
getCapabilities() - Method in class weka.filters.MultiFilter
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.RenameRelation
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.AddClassification
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.AttributeSelection
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.ClassOrder
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.Discretize
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.NominalToBinary
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.PartitionMembership
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.instance.ClassBalancer
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.instance.Resample
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Add
Returns the Capabilities of this filter.
getCapabilities(Instances) - Method in class weka.filters.unsupervised.attribute.AddCluster
Returns the Capabilities of this filter, makes sure that the class is never set (for the clusterer).
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddCluster
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddExpression
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddID
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddNoise
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddUserFields
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Center
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Returns the Capabilities of this filter.
getCapabilities(Instances) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Returns the Capabilities of this filter, makes sure that the class is never set (for the clusterer).
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Copy
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.FirstOrder
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MathExpression
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NominalToString
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Normalize
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Obfuscate
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Remove
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveByName
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveType
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Reorder
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
 
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.SortLabels
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Standardize
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.StringToNominal
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.SwapValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Transpose
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.Randomize
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveRange
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.Resample
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
returns the currently selected capabilities.
getCapabilitiesFilter() - Method in class weka.gui.ConverterFileChooser
returns the capabilities filter for the savers, can be null if all are listed.
getCapabilitiesFilter() - Method in class weka.gui.GenericObjectEditor
Returns the current Capabilities filter, can be null.
getCar() - Method in class weka.associations.Apriori
Gets whether class association ruels are mined
getCardinality(int) - Method in class weka.classifiers.bayes.BayesNet
get number of values a node can take
getCardinality() - Method in class weka.core.pmml.jaxbbindings.Counts
Gets the value of the cardinality property.
getCardinality() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Gets the cardinality of the attributes (incl class attribute)
getCardinalityOfParents() - Method in class weka.classifiers.bayes.net.ParentSet
returns cardinality of parents
getCaseSensitive() - Method in class weka.gui.scripting.SyntaxDocument
Returns whether blanks are used instead of tabs.
getCastInteger() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the castInteger property.
getCategoricalPredictor() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
Gets the value of the categoricalPredictor property.
getCategoricalScoringMethod() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the categoricalScoringMethod property.
getCategories() - Method in class weka.core.pmml.jaxbbindings.Predictor
Gets the value of the categories property.
getCategory() - Method in class weka.core.pmml.jaxbbindings.Categories
Gets the value of the category property.
getCategory() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the category property.
getCell(int, int) - Method in class weka.classifiers.CostMatrix
Return the contents of a particular cell.
getCellEditor(int, int) - Method in class weka.gui.arffviewer.ArffTable
returns the cell editor for the given cell
getCells() - Method in class weka.gui.sql.ResultSetHelper
returns an 2-dimensional array with the content of the resultset, the first dimension is the row, the second the column (i.e., getCells()[y][x]).
getCenter() - Method in class weka.gui.treevisualizer.Node
Get the value of center.
getCenterData() - Method in class weka.attributeSelection.PrincipalComponents
Get whether to center (rather than standardize) the data.
getCenterData() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Get whether to center (rather than standardize) the data.
getChangeInWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
call this function to get the chnage in weights array.
getChar() - Method in class weka.core.Trie.TrieNode
returns the stored character
getCharacteristic() - Method in class weka.core.pmml.jaxbbindings.Characteristics
Gets the value of the characteristic property.
getCharSet() - Method in class weka.core.converters.TextDirectoryLoader
Get the character set to use when reading text files.
getChartingEvalWindowSize() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Get whether to compute evaluation for charting over a fixed sized window of the most recent instances (rather than the whole stream).
getChartingEvalWindowSize() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Get whether to compute evaluation for charting over a fixed sized window of the most recent instances (rather than the whole stream).
getChebychev() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the chebychev property.
getChecked(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
returns the checked state of the element at the given index
getChecked(int) - Method in class weka.gui.CheckBoxList
returns the checked state of the element at the given index
getCheckedIndices() - Method in class weka.gui.CheckBoxList
returns an array with the indices of all checked items
getCheckErrorRate() - Method in class weka.classifiers.rules.JRip
Gets whether to check for error rate is in stopping criterion
getChecksTurnedOff() - Method in class weka.classifiers.functions.SMO
Returns whether the checks are turned off or not.
getChecksTurnedOff() - Method in class weka.classifiers.functions.supportVector.Kernel
 
getChecksTurnedOff() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns whether the checks are turned off or not.
getChild(String) - Method in class weka.core.json.JSONNode
Returns the child with the given name.
getChild(Object, int) - Method in class weka.gui.knowledgeflow.InvisibleTreeModel
 
getChild(int) - Method in class weka.gui.treevisualizer.Node
Get the Edge for the child number 'i'.
getChildAt(int, boolean) - Method in class weka.gui.knowledgeflow.InvisibleNode
Get a child node
getChildCount(boolean) - Method in class weka.gui.knowledgeflow.InvisibleNode
Get the number of children nodes
getChildCount(Object) - Method in class weka.gui.knowledgeflow.InvisibleTreeModel
 
getChildField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
Gets the value of the childField property.
getChildParent() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
Gets the value of the childParent property.
getChildren(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
return list of children of a node
getChildTags(Node) - Static method in class weka.core.xml.XMLDocument
returns all non tag-children from the given node.
getChildTags(Node, String) - Static method in class weka.core.xml.XMLDocument
returns all non tag-children from the given node.
getChiSquareValue() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the chiSquareValue property.
getChooseClassPopupMenu() - Method in class weka.gui.GenericObjectEditor
Returns a popup menu that allows the user to change the class of object.
getCindex() - Method in class weka.gui.visualize.PlotData2D
Get the currently set colouring index of the data
getCIndex() - Method in class weka.gui.visualize.VisualizePanel
Get the index of the attribute selected for coloring
getCityBlock() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the cityBlock property.
getClassAttribute() - Method in class weka.gui.beans.ThresholdDataEvent
Return the class attribute for which the threshold data was generated for.
getClassCapabilities() - Method in class weka.core.Capabilities
returns all class capabilities
getClassColumn() - Method in class weka.gui.beans.ClassAssigner
 
getClassColumn() - Method in class weka.knowledgeflow.steps.ClassAssigner
Get the class column to use
getClassCounts() - Method in class weka.filters.supervised.attribute.ClassOrder
Get the class distribution of the sorted class values.
getClassEstimator() - Method in class weka.classifiers.bayes.NaiveBayes
Get the class estimator.
getClassesToClusters() - Method in class weka.clusterers.ClusterEvaluation
Return the array (ordered by cluster number) of minimum error class to cluster mappings
getClassFlag() - Method in class weka.datagenerators.ClusterGenerator
Gets the class flag.
getClassForIRStatistics() - Method in class weka.experiment.ClassifierSplitEvaluator
Get the value of ClassForIRStatistics.
getClassificationMethod() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Gets the value of the classificationMethod property.
getClassificationOutputFormatter() - Method in class weka.gui.explorer.ClassifierPanel
Get the formatter for classifcation output
getClassifier() - Method in class weka.attributeSelection.ClassifierAttributeEval
Get the classifier used as the base learner.
getClassifier() - Method in class weka.attributeSelection.ClassifierSubsetEval
Get the classifier used as the base learner.
getClassifier() - Method in class weka.attributeSelection.WrapperSubsetEval
Get the classifier used as the base learner.
getClassifier() - Method in class weka.classifiers.BVDecompose
Gets the name of the classifier being analysed
getClassifier() - Method in class weka.classifiers.BVDecomposeSegCVSub
Gets the name of the classifier being analysed
getClassifier() - Method in class weka.classifiers.CheckClassifier
Get the classifier used as the classifier
getClassifier() - Method in class weka.classifiers.CheckSource
Gets the classifier being used for the tests, can be null.
getClassifier(int) - Method in class weka.classifiers.meta.MultiScheme
Gets a single classifier from the set of available classifiers.
getClassifier(int) - Method in class weka.classifiers.MultipleClassifiersCombiner
Gets a single classifier from the set of available classifiers.
getClassifier() - Method in class weka.classifiers.SingleClassifierEnhancer
Get the classifier used as the base learner.
getClassifier() - Method in class weka.experiment.ClassifierSplitEvaluator
Get the value of Classifier.
getClassifier() - Method in class weka.experiment.RegressionSplitEvaluator
Get the value of Classifier.
getClassifier() - Method in class weka.filters.supervised.attribute.AddClassification
Gets the classifier used by the filter.
getClassifier() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Gets the classifier used by the filter.
getClassifier() - Method in class weka.gui.beans.BatchClassifierEvent
Get the classifier
getClassifier() - Method in class weka.gui.beans.Classifier
Get the currently trained classifier.
getClassifier() - Method in class weka.gui.beans.IncrementalClassifierEvent
Get the classifier
getClassifier() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Returns the currently set classifier.
getClassifier() - Method in class weka.gui.explorer.ClassifierPanel
Get the currently configured classifier from the GenericObjectEditor
getClassifier() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default classifier (fully configured) for the classify panel.
getClassifier() - Method in class weka.knowledgeflow.steps.Classifier
Get the classifier to train
getClassifierCollectPredictionsForEvaluation() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the predictions of the classifier are collected for calculating performance statistics such as AUROC.
getClassifierCostSensitiveEval() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the evaluation of the classifier is done cost-sensitively.
getClassifierCrossvalidationFolds() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default number of folds of the CV in the classify panel.
getClassifierErrorsMaximumPlotSizeNumeric() - Static method in class weka.gui.explorer.ExplorerDefaults
Returns the maximum size in pixels for plots of plotting classifier errors of numeric attributes.
getClassifierErrorsMinimumPlotSizeNumeric() - Static method in class weka.gui.explorer.ExplorerDefaults
Returns the minimum size in pixels for plots of plotting classifier errors of numeric attributes.
getClassifierErrorsPlotInstances() - Static method in class weka.gui.explorer.ExplorerDefaults
Returns an instance of the class used for generating plot instances for displaying the classifier errors.
getClassifierOutputAdditionalAttributes() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the string with the additional indices to output alongside the predictions.
getClassifierOutputConfusionMatrix() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the confusion matrix for the classifier is output.
getClassifierOutputEntropyEvalMeasures() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether entropy-based evaluation meastures of the classifier are output.
getClassifierOutputModel() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the built model is output.
getClassifierOutputModelsForTrainingSplits() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the models built for the training set are output
getClassifierOutputPerClassStats() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether additional per-class stats of the classifier are output.
getClassifierOutputPredictions() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the predictions of the classifier are output as well.
getClassifierOutputSourceCode() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the source of a sourcable Classifier is output in the classify tab.
getClassifierPercentageSplit() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default classifier test mode for the classify panel (0-99).
getClassifierPreserveOrder() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the order is preserved in case of the percentage split in the classify tab.
getClassifierRandomSeed() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default random seed value for the classifier for the classify panel.
getClassifiers() - Method in class weka.classifiers.meta.MultiScheme
Gets the list of possible classifers to choose from.
getClassifiers() - Method in class weka.classifiers.MultipleClassifiersCombiner
Gets the list of possible classifers to choose from.
getClassifierSourceCodeClass() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default classname for a sourcable Classifier in the classify tab.
getClassifierStoreTestDataAndPredictionsForVis() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the test data and the predictions of the classifier are stored for visualization.
getClassifierTemplate() - Method in class weka.gui.beans.Classifier
Return the classifier template currently in use.
getClassifierTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default classifier test mode for the classify panel.
getClassifyIterations() - Method in class weka.classifiers.BVDecomposeSegCVSub
Gets the number of times an instance is classified
getClassIndex() - Method in class weka.associations.Apriori
Gets the class index
getClassIndex() - Method in class weka.associations.FilteredAssociator
Gets the class index
getClassIndex() - Method in class weka.classifiers.BVDecompose
Get the index (starting from 1) of the attribute used as the class.
getClassIndex() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the index (starting from 1) of the attribute used as the class.
getClassIndex() - Method in class weka.classifiers.CheckSource
Gets the class index of the dataset.
getClassIndex() - Method in class weka.core.converters.JSONSaver
Get the index of the class attribute.
getClassIndex() - Method in class weka.core.converters.LibSVMSaver
Get the index of the class attribute.
getClassIndex() - Method in class weka.core.converters.SVMLightSaver
Get the index of the class attribute.
getClassIndex() - Method in class weka.core.converters.XRFFSaver
Get the index of the class attribute.
getClassIndex() - Method in class weka.core.FindWithCapabilities
returns the current current class index, -1 if no class attribute.
getClassIndex() - Method in class weka.core.TestInstances
returns the current class index (0-based), -1 is last attribute
getClassIndex() - Method in class weka.filters.CheckSource
Gets the class index of the dataset.
getClassIndex() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
returns the class index.
getClassIndex() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Gets the attribute on which misclassifications are based.
getClassIndex() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Returns the 0-based class index.
getClassIndex() - Method in class weka.gui.SetInstancesPanel
Returns the currently selected class index.
getClassLabels() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
Gets the value of the classLabels property.
getClassLoader() - Method in class weka.core.scripting.Groovy
returns the currently used Groovy classloader.
getClassMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
returns all the class/package matches with the partial search string.
getClassname() - Method in class weka.core.Javadoc
returns the current classname
getClassname() - Method in class weka.core.ListOptions
returns the current classname
getClassName() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Get the class containing the transformation method.
getClassname(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
returns the classname part of the partial classname.
getClassnames(String) - Method in class weka.core.ClassCache
Returns all the classes for the given package.
getClassOrder() - Method in class weka.filters.supervised.attribute.ClassOrder
Get the wanted class order
getClassPriors() - Method in class weka.classifiers.evaluation.Evaluation
Get the current weighted class counts.
getClassPriors() - Method in class weka.classifiers.Evaluation
Get the current weighted class counts.
getClassType() - Method in class weka.core.TestInstances
returns the current class type
getClassValue() - Method in class weka.gui.beans.ClassValuePicker
Gets the class value considered to be the "positive" class value.
getClassValue() - Method in class weka.knowledgeflow.steps.ClassValuePicker
Gets the class value considered to be the "positive" class value.
getClassValueIndex() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the class value index to use
getClassWeightedAverageStatistic(String) - Method in interface weka.classifiers.evaluation.InformationRetrievalEvaluationMetric
Get the weighted (by class) average for this statistic.
getClearEachDataset() - Method in class weka.gui.streams.InstanceViewer
 
getClip() - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
getClipBounds() - Method in class weka.gui.visualize.PostscriptGraphics
This returns the full current drawing area
getClipBounds(Rectangle) - Method in class weka.gui.visualize.PostscriptGraphics
This returns the full current drawing area
getClipRect() - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
getClock() - Method in class weka.core.Debug
returns the instance of the Clock that is internally used
getClosestConnections(Point, int, Integer...) - Static method in class weka.gui.beans.BeanConnection
Return a list of connections within some delta of a point
getClosestConnectorPoint(Point) - Method in class weka.gui.beans.BeanVisual
Returns the coordinates of the closest "connector" point to the supplied point.
getClosestConnectorPoint(Point) - Method in class weka.gui.knowledgeflow.StepVisual
Returns the coordinates of the closest "connector" point to the supplied point.
getCloseTo() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Get the "close to" number.
getCloseToDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Get the "close to" default.
getCloseToTolerance() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Get the "close to" Tolerance.
getClosure() - Method in class weka.core.pmml.jaxbbindings.Interval
Gets the value of the closure property.
getClusterAssignments() - Method in class weka.clusterers.ClusterEvaluation
Return an array of cluster assignments corresponding to the most recent set of instances clustered.
getClusterCanopyAssignments() - Method in class weka.clusterers.Canopy
Get the canopies that each canopy (cluster center) is within T1 distance of
getClusterCentroids() - Method in class weka.clusterers.FarthestFirst
Get the centroids found by FarthestFirst
getClusterCentroids() - Method in class weka.clusterers.SimpleKMeans
Gets the the cluster centroids.
getClusterDefinitions() - Method in class weka.datagenerators.clusterers.SubspaceCluster
returns the currently set clusters
getClusterer() - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
Get the clusterer
getClusterer() - Method in class weka.clusterers.CheckClusterer
Get the clusterer used as the clusterer
getClusterer() - Method in class weka.clusterers.MakeDensityBasedClusterer
Gets the clusterer being wrapped.
getClusterer() - Method in class weka.clusterers.SingleClustererEnhancer
Get the clusterer used as the base clusterer.
getClusterer() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Get the value of clusterer
getClusterer() - Method in class weka.filters.unsupervised.attribute.AddCluster
Gets the clusterer used by the filter.
getClusterer() - Method in class weka.gui.beans.BatchClustererEvent
Get the clusterer
getClusterer() - Method in class weka.gui.beans.Clusterer
Get the clusterer currently set for this wrapper
getClusterer() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
Returns the currently set clusterer.
getClusterer() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default clusterer (fully configured) for the clusterer panel.
getClusterer() - Method in class weka.knowledgeflow.steps.Clusterer
Get the clusterer to train
getClustererAssignmentsPlotInstances() - Static method in class weka.gui.explorer.ExplorerDefaults
Returns an instance of the class used for generating plot instances for displaying the cluster assignments.
getClustererStoreClustersForVis() - Static method in class weka.gui.explorer.ExplorerDefaults
returns whether the clusters are storeed for visualization purposes in the cluster panel.
getClustererTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default cluster test mode for the cluster panel.
getClusterEvaluation() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
Returns the cluster evaluation object in use.
getClusteringModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the clusteringModel property.
getClusteringModelQuality() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
Gets the value of the clusteringModelQuality property.
getClusterModelsNumericAtts() - Method in class weka.clusterers.EM
Return the normal distributions for the cluster models
getClusterNominalCounts() - Method in class weka.clusterers.SimpleKMeans
Returns for each cluster the weighted frequency counts for the values of each nominal attribute.
getClusterPriors() - Method in class weka.clusterers.EM
Return the priors for the clusters
getClusterSizes() - Method in class weka.clusterers.SimpleKMeans
Gets the sum of weights for all the instances in each cluster.
getClusterStandardDevs() - Method in class weka.clusterers.SimpleKMeans
Gets the standard deviations of the numeric attributes in each cluster.
getClusterSubType() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Gets the cluster sub type.
getClusterType() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Gets the cluster type.
getCoef0() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Gets the value of the coef0 property.
getCoef0() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
Gets the value of the coef0 property.
getCoefficient() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
Gets the value of the coefficient property.
getCoefficient() - Method in class weka.core.pmml.jaxbbindings.Coefficients
Gets the value of the coefficient property.
getCoefficient() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
Gets the value of the coefficient property.
getCoefficient() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
Gets the value of the coefficient property.
getCoefficients() - Method in class weka.core.matrix.LinearRegression
returns the calculated coefficients
getCoefficients() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Gets the value of the coefficients property.
getCol() - Method in class weka.core.pmml.jaxbbindings.MatCell
Gets the value of the col property.
getColCount() - Method in class weka.experiment.ResultMatrix
returns the number of columns.
getColHidden(int) - Method in class weka.experiment.ResultMatrix
returns the hidden status of the column, if the index is valid, otherwise false.
getCollapseTree() - Method in class weka.classifiers.trees.J48
Get the value of collapseTree.
getCollectPredictionsForVisAndAUC() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
getColName(int) - Method in class weka.experiment.ResultMatrix
returns the name of the row, if the index is valid, otherwise null.
getColNameWidth() - Method in class weka.experiment.ResultMatrix
returns the current width for the column names.
getColor() - Method in class weka.gui.ReaderToTextPane
Returns the color in use.
getColor() - Method in class weka.gui.treevisualizer.Node
Get the value of color.
getColor() - Method in class weka.gui.visualize.PostscriptGraphics
Get current pen color.
getColorBox() - Method in class weka.gui.AttributeVisualizationPanel
Returns the class selection combo box if the parent component wants to place it in itself or in some component other than this component.
getColOrder() - Method in class weka.experiment.ResultMatrix
returns the current order of the columns, null means the default order.
getColoringIndex() - Method in class weka.gui.AttributeVisualizationPanel
Get the coloring (class) index for the plot
getColoringIndex() - Method in class weka.gui.beans.AttributeSummarizer
Return the coloring index for the attribute summary plots
getColors() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Get the current vector of Color objects used for the classes
getColumn(int) - Method in class weka.core.Matrix
Deprecated.
Gets a column of the matrix and returns it as a double array.
getColumn() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
Gets the value of the column property.
getColumn() - Method in class weka.core.pmml.jaxbbindings.InstanceField
Gets the value of the column property.
getColumn() - Method in class weka.core.pmml.jaxbbindings.VerificationField
Gets the value of the column property.
getColumn() - Static method in class weka.gui.experiment.ExperimenterDefaults
the comma-separated list of attribute names that identify a column.
getColumnClass(int) - Method in class weka.gui.arffviewer.ArffTableModel
returns the most specific superclass for all the cell values in the column (always String)
getColumnClass(int) - Method in class weka.gui.InteractiveTableModel
 
getColumnClass(int) - Method in class weka.gui.SortedTableModel
Returns the most specific superclass for all the cell values in the column.
getColumnClass(int) - Method in class weka.gui.sql.ResultSetTableModel
returns the most specific superclass for all the cell values in the column (always String).
getColumnClasses() - Method in class weka.gui.sql.ResultSetHelper
returns the classes for the columns.
getColumnCount() - Method in class weka.gui.arffviewer.ArffTableModel
returns the number of columns in the model
getColumnCount() - Method in class weka.gui.InteractiveTableModel
 
getColumnCount() - Method in class weka.gui.SortedTableModel
Returns the number of columns in the model
getColumnCount() - Method in class weka.gui.sql.ResultSetHelper
returns the number of columns in the resultset.
getColumnCount() - Method in class weka.gui.sql.ResultSetTableModel
returns the number of columns in the model.
getColumnDimension() - Method in class weka.core.matrix.Matrix
Get column dimension.
getColumnName(int) - Method in class weka.gui.arffviewer.ArffTableModel
returns the name of the column at columnIndex
getColumnName(int) - Method in class weka.gui.InteractiveTableModel
 
getColumnName(int) - Method in class weka.gui.SortedTableModel
Returns the name of the column at columnIndex
getColumnName(int) - Method in class weka.gui.sql.ResultSetTableModel
returns the name of the column at columnIndex.
getColumnNames() - Method in class weka.gui.sql.ResultSetHelper
returns an array with the names of the columns in the resultset.
getColumnPackedCopy() - Method in class weka.core.matrix.Matrix
Make a one-dimensional column packed copy of the internal array.
getCombinationRule() - Method in class weka.classifiers.meta.Vote
Gets the combination rule used
getCommand(String) - Static method in class weka.gui.simplecli.AbstractCommand
Locates the command for the given name.
getCommand() - Method in class weka.gui.treevisualizer.TreeDisplayEvent
 
getCommandDescription() - Method in class weka.gui.knowledgeflow.AbstractGraphicalCommand
Get a description of this command
getCommandDescription() - Method in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
Get the description of this command
getCommandDescription() - Method in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
Get the description of this command
getCommandHistory() - Method in class weka.gui.SimpleCLIPanel
Returns the command history.
getCommandName() - Method in class weka.gui.knowledgeflow.AbstractGraphicalCommand
Get the name of this command
getCommandName() - Method in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
Get the name of the command
getCommandName() - Method in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
Get the name of the command
getCommands() - Static method in class weka.gui.simplecli.AbstractCommand
Returns all available commands.
getComment() - Method in enum weka.core.TechnicalInformation.Field
returns the comment string
getComment() - Method in enum weka.core.TechnicalInformation.Type
returns the comment string
getCommonPrefix() - Method in class weka.core.Trie
returns the common prefix for all the nodes
getCommonPrefix() - Method in class weka.core.Trie.TrieNode
returns the common prefix for all the nodes starting with this node.
getCommonPrefix(String) - Method in class weka.core.Trie.TrieNode
returns the common prefix for all the nodes starting with the node for the specified prefix.
getCommonPrefix(Vector<String>) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
returns the common prefix for all the items in the list.
getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Gets the value of the compareFunction property.
getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the compareFunction property.
getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.KNNInput
Gets the value of the compareFunction property.
getComparison() - Method in class weka.associations.NumericItem
Gets the comparison operator for this item.
getComparisonAsString() - Method in class weka.associations.Item
Get this item's comparison operator as a String.
getComparisonAsString() - Method in class weka.associations.NominalItem
Get this item's comparison operator as a String.
getComparisonAsString() - Method in class weka.associations.NumericItem
Get this item's comparison operator as a String.
getComparisonField() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the name of the field used for comparison.
getComparisons() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Gets the value of the comparisons property.
getCompatibilityState() - Method in class weka.experiment.AveragingResultProducer
Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.CrossValidationResultProducer
Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.DatabaseResultProducer
Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.LearningRateResultProducer
Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.RandomSplitResultProducer
Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in interface weka.experiment.ResultProducer
Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getComponent() - Method in class weka.gui.visualize.JComponentWriter
returns the component that is stored in the output format
getComponent() - Method in class weka.gui.visualize.PrintableComponent
returns the GUI component this print dialog is part of.
getComposite() - Method in class weka.gui.visualize.PostscriptGraphics
 
getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
Gets the value of the compoundPredicate property.
getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Gets the value of the compoundPredicate property.
getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the compoundPredicate property.
getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the compoundPredicate property.
getCompressOutput() - Method in class weka.core.converters.ArffSaver
Gets whether the output data is compressed.
getCompressOutput() - Method in class weka.core.converters.JSONSaver
Gets whether the output data is compressed.
getCompressOutput() - Method in class weka.core.converters.XRFFSaver
Gets whether the output data is compressed.
getComputeAttributeImportance() - Method in class weka.classifiers.trees.RandomForest
Get whether to compute and output attribute importance scores
getComputeImpurityDecreases() - Method in class weka.classifiers.trees.RandomTree
Get whether to compute/store impurity decreases for variable importance in RandomForest
getComputeMaxRowsInParallel() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the maximum number of threads to use when computing image rows
getCon() - Method in class weka.core.pmml.jaxbbindings.Neuron
Gets the value of the con property.
getConditionalEstimators() - Method in class weka.classifiers.bayes.NaiveBayes
Get all the conditional estimators.
getConfidence() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the confidence property.
getConfidence() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Gets the value of the confidence property.
getConfidence() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Gets the value of the confidence property.
getConfidence() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the confidence property.
getConfidenceFactor() - Method in class weka.classifiers.rules.PART
Get the value of CF.
getConfidenceFactor() - Method in class weka.classifiers.trees.J48
Get the value of CF.
getConfidenceLevel() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the confidenceLevel property.
getConfidenceLowerBound() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the confidenceLowerBound property.
getConfidenceUpperBound() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the confidenceUpperBound property.
getConfirmExit() - Method in class weka.gui.arffviewer.ArffViewer
returns the setting of whether to display a confirm messagebox or not on exit
getConfirmExit() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the setting of whether to display a confirm messagebox or not on exit
getConfusionMatrix() - Method in class weka.classifiers.evaluation.TwoClassStats
Generates a ConfusionMatrix representing the current two-class statistics, using class names "negative" and "positive".
getConfusionMatrix() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the confusionMatrix property.
getConnectedFormat() - Method in class weka.gui.beans.ClassAssigner
Returns the structure of the incoming instances (if any)
getConnectedFormat() - Method in class weka.gui.beans.ClassValuePicker
Returns the structure of the incoming instances (if any)
getConnectedFormat() - Method in class weka.gui.beans.FlowByExpression
Returns the structure of the incoming instances (if any)
getConnectedFormat() - Method in class weka.gui.beans.Sorter
Returns the structure of the incoming instances (if any)
getConnectedInputNames() - Method in class weka.knowledgeflow.steps.Join
Get the names of the connected steps as a list
getConnection() - Method in class weka.gui.sql.DbUtils
returns the current database connection.
getConnectionName() - Method in class weka.knowledgeflow.Data
Get the connection name associated with this Data object
getConnections(Integer...) - Static method in class weka.gui.beans.BeanConnection
Returns the list of connections
getConnectorPoint(int) - Method in class weka.gui.beans.BeanVisual
Returns the coordinates of the connector point given a compass point
getConsequence() - Method in class weka.associations.AssociationRule
Get the consequence of this rule.
getConsequence() - Method in class weka.associations.DefaultAssociationRule
 
getConsequenceSupport() - Method in class weka.associations.AssociationRule
Get the support for the consequence.
getConsequenceSupport() - Method in class weka.associations.DefaultAssociationRule
 
getConsequent() - Method in class weka.classifiers.rules.JRip.RipperRule
Gets the internal representation of the class label to be predicted
getConsequent() - Method in class weka.classifiers.rules.Rule
Get the consequent of this rule, i.e.
getConsequent() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the consequent property.
getConservativeForwardSelection() - Method in class weka.attributeSelection.GreedyStepwise
Gets whether conservative selection has been enabled
getConstant() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the constant property.
getConstant() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the constant property.
getConstant() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the constant property.
getConsumeNonMatching() - Method in class weka.gui.beans.SubstringLabeler
Get whether instances that do not match any of the rules should be "consumed" rather than output with a missing value set for the new attribute.
getConsumeNonMatching() - Method in class weka.gui.beans.SubstringLabelerRules
Get whether to consume non matching instances.
getConsumeNonMatching() - Method in class weka.knowledgeflow.steps.SubstringLabeler
Get whether instances that do not match any of the rules should be "consumed" rather than output with a missing value set for the new attribute.
getContainChildBalls() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Gets whether if a parent ball should completely enclose its two child balls.
getContent(Element) - Method in class weka.classifiers.bayes.net.BIFReader
Returns all TEXT children of the given node in one string.
getContent(Element) - Method in class weka.classifiers.bayes.net.EditableBayesNet
XML helper function.
getContent() - Method in class weka.core.pmml.jaxbbindings.Annotation
Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.ArrayType
Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Extension
Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.MiningModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Node
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Row
Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.TextModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Timestamp
Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the rest of the content model.
getContent(Element) - Static method in class weka.core.xml.XMLDocument
returns the text between the opening and closing tag of a node (performs a trim() on the result).
getContent() - Method in class weka.gui.scripting.Script
Returns the content.
getContinuousScoringMethod() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the continuousScoringMethod property.
getContrastMatrixType() - Method in class weka.core.pmml.jaxbbindings.Predictor
Gets the value of the contrastMatrixType property.
getControlPanel() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
This method returns a handle to the extra controls panel, so that the visualizing class can add it to some of it's own gui panel.
getControlPanel() - Method in interface weka.gui.graphvisualizer.LayoutEngine
This method returns the extra controls panel for the LayoutEngine, if there is any.
getContStats() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Gets the value of the contStats property.
getConvertNominal() - Method in class weka.classifiers.trees.LMT
Get the value of convertNominal.
getCoord1() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
Gets the value of the coord1 property.
getCoord2() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
Gets the value of the coord2 property.
getCoord3() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
Gets the value of the coord3 property.
getCopyOfInputFormat() - Method in class weka.filters.Filter
Gets a copy of just the structure of the input format instances.
getCopyright() - Method in class weka.core.pmml.jaxbbindings.Header
Gets the value of the copyright property.
getCoreConvertersOnly() - Method in class weka.gui.ConverterFileChooser
Returns whether only the hardcoded core converters are displayed.
getCorrelationFields() - Method in class weka.core.pmml.jaxbbindings.Correlations
Gets the value of the correlationFields property.
getCorrelationMatrix() - Method in class weka.attributeSelection.PrincipalComponents
Return the correlation/covariance matrix
getCorrelationMethods() - Method in class weka.core.pmml.jaxbbindings.Correlations
Gets the value of the correlationMethods property.
getCorrelations() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
Gets the value of the correlations property.
getCorrelationValues() - Method in class weka.core.pmml.jaxbbindings.Correlations
Gets the value of the correlationValues property.
getCostMatrix() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Gets the misclassification cost matrix.
getCostMatrix() - Method in class weka.gui.explorer.ClassifierPanel
Get the cost matrix (if any)
getCostMatrixSource() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Gets the source location method of the cost matrix.
getCostMatrixString() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Get the cost matrix to use as a string
getCount(double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Get a counts for a value
getCount() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
Gets the value of the count property.
getCount() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
Gets the value of the count property.
getCount() - Method in class weka.core.pmml.jaxbbindings.TimeException
Gets the value of the count property.
getCount(double) - Method in class weka.estimators.DiscreteEstimator
Get the count for a value
getCount(int) - Method in class weka.experiment.ResultMatrix
returns the count for the row.
getCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
Recursively finds the number of visible nodes there are (this may accidentally count some of the invis nodes).
getCounts(int[], int[], int[], int, int, boolean) - Method in class weka.classifiers.bayes.net.ADNode
get counts for specific instantiation of a set of nodes
getCounts(int[], int[], int[], int, int, ADNode, boolean) - Method in class weka.classifiers.bayes.net.VaryNode
get counts for specific instantiation of a set of nodes
getCounts() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Gets the value of the counts property.
getCounts() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Gets the value of the counts property.
getCountTable() - Method in class weka.core.pmml.jaxbbindings.Baseline
Gets the value of the countTable property.
getCountWidth() - Method in class weka.experiment.ResultMatrix
returns the current width for the counts.
getCovariances() - Method in class weka.core.pmml.jaxbbindings.Cluster
Gets the value of the covariances property.
getCover() - Method in class weka.classifiers.rules.JRip.Antd
 
getCreatorApplication() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Get the name of the application that created this model
getCreatorApplication() - Method in interface weka.core.pmml.PMMLModel
Get the name of the application that created this model.
getCriterion() - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
Gets the value of the criterion property.
getCrossVal() - Method in class weka.classifiers.rules.DecisionTable
Gets the number of folds for cross validation
getCrossValidate() - Method in class weka.classifiers.lazy.IBk
Gets whether hold-one-out cross-validation will be used to select the best k value.
getCumHazard() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
Gets the value of the cumHazard property.
getCumulativeLink() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the cumulativeLink property.
getCurrent() - Method in class weka.core.Memory
returns the currently used size of the JVM heap, obtains a fresh MemoryUsage object to do so.
getCurrentBeanLayout() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getCurrentDatasetNumber() - Method in class weka.experiment.Experiment
When an experiment is running, this returns the current dataset number.
getCurrentDir() - Static method in class weka.core.Debug
returns the current working directory of the user
getCurrentFilename() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the filename of the current tab
getCurrentImage() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the currently rendering image
getCurrentIndex() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the currently selected tab index
getCurrentInstance() - Method in class weka.gui.beans.IncrementalClassifierEvent
Get the current instance
getCurrentLayout() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the flow layout for the current (visible) tab
getCurrentLogPanel() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getCurrentModel() - Method in class weka.classifiers.misc.SerializedClassifier
Gets the currently loaded model (can be null).
getCurrentPanel() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the currently selected panel
getCurrentPropertyNumber() - Method in class weka.experiment.Experiment
When an experiment is running, this returns the index of the current custom property value.
getCurrentRunNumber() - Method in class weka.experiment.Experiment
When an experiment is running, this returns the current run number.
getCurrentTabIndex() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getCurrentTabIndex() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the index of the current (visible) tab
getCurrentZoomSetting() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.CostCurve
Calculates the performance stats for the default class and return results as a set of Instances.
getCurve(ArrayList<Prediction>, int) - Method in class weka.classifiers.evaluation.CostCurve
Calculates the performance stats for the desired class and return results as a set of Instances.
getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.MarginCurve
Calculates the cumulative margin distribution for the set of predictions, returning the result as a set of Instances.
getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.ThresholdCurve
Calculates the performance stats for the default class and return results as a set of Instances.
getCurve(ArrayList<Prediction>, int) - Method in class weka.classifiers.evaluation.ThresholdCurve
Calculates the performance stats for the desired class and return results as a set of Instances.
getCustomEditor() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
getCustomEditor() - Method in class weka.gui.ColorEditor
Returns our JColorChooser object
getCustomEditor() - Method in class weka.gui.CostMatrixEditor
Gets a GUI component with which the user can edit the cost matrix.
getCustomEditor() - Method in class weka.gui.EnvironmentField
 
getCustomEditor() - Method in class weka.gui.FileEditor
Gets the custom editor component.
getCustomEditor() - Method in class weka.gui.GenericArrayEditor
Returns the array editing component.
getCustomEditor() - Method in class weka.gui.GenericObjectEditor
Returns the array editing component.
getCustomEditor() - Method in class weka.gui.PasswordField
 
getCustomEditor() - Method in class weka.gui.SimpleDateFormatEditor
Gets a GUI component with which the user can edit the date format.
getCustomEditorForStep() - Method in class weka.gui.knowledgeflow.StepVisual
Get the fully qualified name of the custom editor (if any) for the step wrapped in this visual
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ASEvaluator
Get the class name of the custom editor for this step
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Get the fully qualified class name of the custom editor for this step
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.BaseStep
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Block
Get the fully qualified class name of the custom editor for this step
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ClassAssigner
Get the custom editor for this step
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ClassValuePicker
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.DataGrid
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.DataVisualizer
 
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get the name of the editor dialog for this step
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.FlowByExpression
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Job
Get the custom editor for this step
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Join
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Loader
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Note
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Saver
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.SetVariables
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Sorter
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in interface weka.knowledgeflow.steps.Step
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.SubstringLabeler
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.SubstringReplacer
Return the fully qualified name of a custom editor component (JComponent) to use for editing the properties of the step.
getCustomHeight() - Method in class weka.gui.visualize.JComponentWriter
gets the custom height currently used
getCustomName() - Method in class weka.gui.beans.Appender
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Associator
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in interface weka.gui.beans.BeanCommon
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ClassAssigner
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Classifier
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ClassValuePicker
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Clusterer
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.CostBenefitAnalysis
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.CrossValidationFoldMaker
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.DataVisualizer
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Filter
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.FlowByExpression
 
getCustomName() - Method in class weka.gui.beans.ImageSaver
 
getCustomName() - Method in class weka.gui.beans.ImageViewer
 
getCustomName() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Join
Get the custom name of this step
getCustomName() - Method in class weka.gui.beans.Loader
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.MetaBean
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ModelPerformanceChart
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.PredictionAppender
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Saver
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.SerializedModelSaver
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Sorter
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.StripChart
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.SubstringLabeler
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.SubstringReplacer
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.TestSetMaker
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.TextSaver
 
getCustomName() - Method in class weka.gui.beans.TextViewer
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.TrainingSetMaker
Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.TrainTestSplitMaker
Get the custom (descriptive) name for this bean (if one has been set)
getCustomPanel() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
getCustomPanel() - Method in interface weka.gui.CustomPanelSupplier
Gets the custom panel for the object.
getCustomPanel() - Method in class weka.gui.EnvironmentField
 
getCustomPanel() - Method in class weka.gui.GenericObjectEditor
Gets the custom panel used for editing the object.
getCustomPanel() - Method in class weka.gui.PasswordField
 
getCustomPropsFile() - Method in class weka.core.converters.DatabaseLoader
Returns the custom properties file in use, if any.
getCustomPropsFile() - Method in class weka.core.converters.DatabaseSaver
Returns the custom properties file in use, if any.
getCustomPropsFile() - Method in class weka.experiment.InstanceQuery
Returns the custom properties file in use, if any.
getCustomWidth() - Method in class weka.gui.visualize.JComponentWriter
gets the custom width currently used
getCutoff() - Method in class weka.clusterers.Cobweb
get the cutoff
getCutPoints(int) - Method in class weka.filters.supervised.attribute.Discretize
Gets the cut points for an attribute
getCutPoints(int) - Method in class weka.filters.unsupervised.attribute.Discretize
Gets the cut points for an attribute
getCVisible() - Method in class weka.gui.treevisualizer.Node
Get If this node's childs are visible.
getCVParameter(int) - Method in class weka.classifiers.meta.CVParameterSelection
Gets the scheme paramter with the given index.
getCVParameters() - Method in class weka.classifiers.meta.CVParameterSelection
Get method for CVParameters.
getCVPredictions(Classifier, Instances, int) - Method in class weka.classifiers.evaluation.EvaluationUtils
Generate a bunch of predictions ready for processing, by performing a cross-validation on the supplied dataset.
getCVType() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
get cross validation strategy to be used in searching for networks.
getD() - Method in class weka.core.matrix.EigenvalueDecomposition
Return the block diagonal eigenvalue matrix
getD00Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the d00Parameter property.
getD01Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the d01Parameter property.
getD10Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the d10Parameter property.
getD11Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the d11Parameter property.
getData() - Method in class weka.attributeSelection.BestFirst.Link2
Get a group
getData() - Method in class weka.classifiers.rules.RuleStats
Get the data of the stats
getData() - Method in class weka.core.AttributeLocator
returns the underlying data
getData() - Method in class weka.core.converters.ArffLoader.ArffReader
Returns the data that was read
getData() - Method in class weka.core.TestInstances
returns the current dataset, can be null
getData() - Method in class weka.knowledgeflow.steps.DataGrid
Get the data to be output by this DataGrid in textual ARFF format
getDatabaseURL() - Method in class weka.experiment.DatabaseUtils
Get the value of DatabaseURL.
getDataDictionary() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Get the data dictionary.
getDataDictionary() - Method in class weka.core.pmml.jaxbbindings.PMML
Gets the value of the dataDictionary property.
getDataFields() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
Gets the value of the dataField property.
getDataFileName() - Method in class weka.classifiers.BVDecompose
Get the name of the data file used for the decomposition
getDataFileName() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the name of the data file used for the decomposition
GetDataFromResult - Class in weka.knowledgeflow.steps
Step that outputs data stored in the job environment
GetDataFromResult() - Constructor for class weka.knowledgeflow.steps.GetDataFromResult
 
getDataGenerator() - Method in class weka.knowledgeflow.steps.DataGenerator
get the data generator
getDataName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
Gets the value of the dataName property.
getDataName() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the dataName property.
getDataPoint() - Method in class weka.gui.beans.ChartEvent
Get the data point
getDataset() - Method in class weka.classifiers.CheckSource
Gets the dataset to use for testing, can be null.
getDataSet() - Method in class weka.core.converters.AbstractLoader
 
getDataSet() - Method in class weka.core.converters.ArffLoader
Return the full data set.
getDataSet() - Method in class weka.core.converters.C45Loader
Return the full data set.
getDataSet() - Method in class weka.core.converters.ConverterUtils.DataSource
returns the full dataset, can be null in case of an error.
getDataSet(int) - Method in class weka.core.converters.ConverterUtils.DataSource
returns the full dataset with the specified class index set, can be null in case of an error.
getDataSet() - Method in class weka.core.converters.CSVLoader
 
getDataSet() - Method in class weka.core.converters.DatabaseLoader
Return the full data set in batch mode (header and all intances at once).
getDataSet() - Method in class weka.core.converters.JSONLoader
Return the full data set.
getDataSet() - Method in class weka.core.converters.LibSVMLoader
Return the full data set.
getDataSet() - Method in interface weka.core.converters.Loader
Return the full data set.
getDataSet() - Method in class weka.core.converters.MatlabLoader
Return the full data set.
getDataSet() - Method in class weka.core.converters.SerializedInstancesLoader
Return the full data set.
getDataSet() - Method in class weka.core.converters.SVMLightLoader
Return the full data set.
getDataSet() - Method in class weka.core.converters.TextDirectoryLoader
Return the full data set.
getDataSet() - Method in class weka.core.converters.XRFFLoader
Return the full data set.
getDataset() - Method in class weka.filters.CheckSource
Gets the dataset to use for testing, can be null.
getDataSet() - Method in class weka.gui.beans.DataSetEvent
Return the instances of the data set
getDataSet() - Method in class weka.gui.beans.ThresholdDataEvent
Return the instances of the data set
getDataSet() - Method in class weka.gui.beans.VisualizableErrorEvent
Return the instances of the data set
getDatasetFormat() - Method in class weka.datagenerators.DataGenerator
Gets the format of the dataset that is to be generated.
getDatasetKeyColumns() - Method in class weka.experiment.PairedTTester
Get the value of DatasetKeyColumns.
getDatasetKeyColumns() - Method in interface weka.experiment.Tester
Get the value of DatasetKeyColumns.
getDatasets() - Method in class weka.experiment.Experiment
Gets the datasets in the experiment.
getDatasets() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
Get the datasets seen so far
getDatasetsFirst() - Static method in class weka.gui.experiment.ExperimenterDefaults
whether datasets or algorithms are iterated first.
getDataType() - Method in class weka.core.pmml.jaxbbindings.Constant
Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.Discretize
Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.MapValues
Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.ParameterField
Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.ResultField
Gets the value of the dataType property.
getDataType() - Method in class weka.gui.beans.xml.XMLBeans
returns the type of data that is to be read/written
getDataUsage() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the dataUsage property.
getDateAttributes() - Method in class weka.core.converters.CSVLoader
Returns the current attribute range to be forced to type date.
getDateFormat() - Method in class weka.core.Attribute
Returns the Date format pattern in case this attribute is of type DATE, otherwise an empty string.
getDateFormat() - Method in class weka.core.converters.CSVLoader
Get the format to use for parsing date values.
getDateFormat() - Method in class weka.filters.unsupervised.attribute.Add
Get the date format, complying to ISO-8601.
getDateFormat() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the date formatting string (if any)
getDateFormat() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Get the date format used in output.
getDateFormat() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Get the date format used in output.
getDateFormat() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Get the date format to use for parsing the date replacement constant
getDateReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Get the date replacement value
getDateValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the value of the attribute as a date or null if the attribute isn't of type date.
getDbUtils() - Method in class weka.gui.sql.event.ConnectionEvent
returns the DbUtils instance that is responsible for the connect/disconnect.
getDbUtils() - Method in class weka.gui.sql.event.QueryExecuteEvent
returns the DbUtils instance that was executed the query
getDebug() - Method in class weka.attributeSelection.CfsSubsetEval
Set whether to output debugging info
getDebug() - Method in class weka.classifiers.AbstractClassifier
Get whether debugging is turned on.
getDebug() - Method in class weka.classifiers.BVDecompose
Gets whether debugging is turned on
getDebug() - Method in class weka.classifiers.BVDecomposeSegCVSub
Gets whether debugging is turned on
getDebug() - Method in class weka.classifiers.functions.Logistic
Gets whether debugging output will be printed.
getDebug() - Method in class weka.classifiers.functions.supportVector.Kernel
Gets whether debugging output is turned on or not.
getDebug() - Method in class weka.classifiers.meta.MultiScheme
Get whether debugging is turned on
getDebug() - Method in class weka.classifiers.rules.JRip
Gets whether debug information is output to the console
getDebug() - Method in class weka.clusterers.AbstractClusterer
Get whether debugging is turned on.
getDebug() - Method in class weka.clusterers.EM
Get debug mode
getDebug() - Method in class weka.core.Check
Get whether debugging is turned on
getDebug() - Method in class weka.core.converters.TextDirectoryLoader
Gets whether additional debug information is printed.
getDebug() - Method in class weka.core.Debug.Random
returns whether to print the generated random values or not
getDebug() - Method in class weka.core.stopwords.AbstractStopwords
Get whether debugging is turned on.
getDebug() - Method in class weka.datagenerators.DataGenerator
Gets the debug flag.
getDebug() - Method in class weka.estimators.CheckEstimator
Get whether debugging is turned on
getDebug() - Method in class weka.estimators.Estimator
Get whether debugging is turned on.
getDebug() - Method in class weka.experiment.DatabaseUtils
Gets whether there should be printed some debugging output to stderr or not.
getDebug() - Method in interface weka.experiment.InstanceQueryAdapter
Gets whether there should be printed some debugging output to stderr or not.
getDebug() - Method in class weka.filters.Filter
Get whether debugging is turned on.
getDebug() - Method in class weka.filters.unsupervised.attribute.AddExpression
Gets whether debug is set
getDebug() - Method in class weka.gui.DatabaseConnectionDialog
Returns the debug flag
getDebug() - Method in class weka.gui.knowledgeflow.MainKFPerspective
 
getDebug() - Method in class weka.gui.scripting.ScriptingPanel
Returns whether debugging mode is on.
getDebug() - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
returns whether debug mode is on.
getDebug() - Method in class weka.gui.streams.InstanceCounter
 
getDebug() - Method in class weka.gui.streams.InstanceJoiner
 
getDebug() - Method in class weka.gui.streams.InstanceLoader
 
getDebug() - Method in class weka.gui.streams.InstanceSavePanel
 
getDebug() - Method in class weka.gui.streams.InstanceTable
 
getDebug() - Method in class weka.gui.streams.InstanceViewer
 
getDebuggingOutput() - Method in class weka.attributeSelection.GreedyStepwise
Get whether to output debugging info to the console
getDecay() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getDecimals() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Get the number of decimals to round to.
getDecision() - Method in class weka.core.pmml.jaxbbindings.Decisions
Gets the value of the decision property.
getDecisions() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the decisions property.
getDefault() - Method in class weka.core.Tee
returns the default printstrean, can be NULL.
getDefaultChild() - Method in class weka.core.pmml.jaxbbindings.Node
Gets the value of the defaultChild property.
getDefaultColNameWidth() - Method in class weka.experiment.ResultMatrix
returns the default width for the column names.
getDefaultColNameWidth() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the default width for the column names.
getDefaultConfidence() - Method in class weka.core.pmml.jaxbbindings.RuleSet
Gets the value of the defaultConfidence property.
getDefaultCountWidth() - Method in class weka.experiment.ResultMatrix
returns the default width for the counts.
getDefaultCountWidth() - Method in class weka.experiment.ResultMatrixPlainText
returns the default width for the counts.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrix
returns the default of whether column names are prefixed with the index.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixCSV
returns the default of whether column names are prefixed with the index.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the default of whether column names are prefixed with the index.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixHTML
returns the default of whether column names are prefixed with the index.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixLatex
returns the default of whether column names are prefixed with the index.
getDefaultEnumerateRowNames() - Method in class weka.experiment.ResultMatrix
returns theh default of whether row names are prefixed with the index.
getDefaultEnumerateRowNames() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the default of whether row names are prefixed with the index.
getDefaultExtension() - Method in class weka.gui.scripting.GroovyScript
Returns the default extension.
getDefaultExtension() - Method in class weka.gui.scripting.JythonScript
Returns the default extension.
getDefaultExtension() - Method in class weka.gui.scripting.Script
Returns the default extension.
getDefaultFlowExecutor() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Gets a new instance of the default flow executor suitable for use with this execution environment
getDefaultIconPath() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
Get the default icon for this type of wrapped algorithm (i.e.
getDefaultMeanPrec() - Method in class weka.experiment.ResultMatrix
returns the default precision for the means.
getDefaultMeanWidth() - Method in class weka.experiment.ResultMatrix
returns the default width for the mean.
getDefaultNumDecimals() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the default number of digits to output after the decimal point.
getDefaultPackageLevelIconPath() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
Get the default icon at the package level for this type of wrapped algorithm - e.g.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrix
returns the default of whether column names or numbers instead are printed.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixCSV
returns the default of whether column names or numbers instead are printed.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixHTML
returns the default of whether column names or numbers instead are printed.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixLatex
returns the default of whether column names or numbers instead are printed.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixSignificance
returns the default of whether column names or numbers instead are printed.
getDefaultPrintRowNames() - Method in class weka.experiment.ResultMatrix
returns the default of whether row names or numbers instead are printed.
getDefaultRemoveFilterName() - Method in class weka.experiment.ResultMatrix
returns the default of whether the filter classname is removed from the dataset name.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrix
returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixCSV
returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixHTML
returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixPlainText
returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixSignificance
returns the default width for the row names.
getDefaults() - Method in class weka.core.Defaults
Get the map of default settings
getDefaultScore() - Method in class weka.core.pmml.jaxbbindings.RuleSet
Gets the value of the defaultScore property.
getDefaultSettings() - Method in class weka.core.packageManagement.DefaultPackageManager
Get the default settings for the default package manager
getDefaultSettings() - Method in class weka.core.packageManagement.PackageManager
Get the default settings of this package manager.
getDefaultSettings() - Method in class weka.gui.AbstractPerspective
Get the default settings for this perspective (or null if there are none)
getDefaultSettings() - Method in class weka.gui.explorer.AssociationsPanel
 
getDefaultSettings() - Method in class weka.gui.explorer.AttributeSelectionPanel
 
getDefaultSettings() - Method in class weka.gui.explorer.ClassifierPanel
 
getDefaultSettings() - Method in class weka.gui.explorer.ClustererPanel
 
getDefaultSettings() - Method in class weka.gui.explorer.PreprocessPanel
 
getDefaultSettings() - Method in class weka.gui.explorer.VisualizePanel
Default settings for the scatter plot
getDefaultSettings() - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
Get the default settings for this perspective
getDefaultSettings() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Get default settings for the viewer.
getDefaultSettings() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the default settings for this perspective (or null if there are none)
getDefaultSettings() - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
Get default settings
getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
Get the default settings for this viewer
getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.DataVisualizerInteractiveView
Get default settings for this viewer
getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.ModelPerformanceChartInteractiveView
Get default settings for this viewer
getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
Get the default settings of this viewer
getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
Get the default settings for this viewer
getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
Get the default settings of this viewer
getDefaultSettings() - Method in interface weka.gui.Perspective
Get the default settings for this perspective (or null if there are none)
getDefaultSettings() - Method in class weka.gui.SimpleCLIPanel
 
getDefaultSettings() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Get default settings for the base execution environment
getDefaultSettings() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Get default settings for this ExecutionEnvironment.
getDefaultSettings() - Method in class weka.knowledgeflow.steps.BaseStep
Get default settings for the step (if any).
getDefaultSettings() - Method in class weka.knowledgeflow.steps.ImageSaver
Get default settings for the step.
getDefaultSettings() - Method in interface weka.knowledgeflow.steps.Step
Get default settings for the step (if any).
getDefaultSettings() - Method in class weka.knowledgeflow.steps.TextSaver
Get default settings for the step (if any).
getDefaultShowAverage() - Method in class weka.experiment.ResultMatrix
returns the default of whether average per column is displayed or not.
getDefaultShowStdDev() - Method in class weka.experiment.ResultMatrix
returns the default of whether std deviations are displayed or not.
getDefaultShowStdDev() - Method in class weka.experiment.ResultMatrixSignificance
returns the default of whether std deviations are displayed or not.
getDefaultSignificanceWidth() - Method in class weka.experiment.ResultMatrix
returns the default width for the significance.
getDefaultStdDevPrec() - Method in class weka.experiment.ResultMatrix
returns the default standard deviation precision.
getDefaultStdDevWidth() - Method in class weka.experiment.ResultMatrix
returns the default width for the std dev.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.Discretize
Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.MapValues
Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.TargetMetaInfo
Get the default value (numeric target)
getDefineFunction() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
Gets the value of the defineFunction property.
getDegree() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Gets the value of the degree property.
getDegreesOfFreedom() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Gets the value of the degreesOfFreedom property.
getDegreesOfFreedom() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the degreesOfFreedom property.
getDegreesOfFreedom() - Method in class weka.experiment.PairedStats
Gets the degrees of freedom.
getDeleteEmptyBins() - Method in class weka.classifiers.meta.RegressionByDiscretization
Gets whether empty bins are deleted.
getDelimiter() - Method in class weka.core.pmml.jaxbbindings.Delimiter
Gets the value of the delimiter property.
getDelimiters() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
Get the value of delimiters (not backquoted).
getDelimiters() - Method in class weka.gui.scripting.SyntaxDocument
Returns the delimiter characters to use.
getDelta() - Method in class weka.associations.Apriori
Get the value of delta.
getDelta() - Method in class weka.associations.FPGrowth
Get the value of delta.
getDelta() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
getDelta() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
getDelta() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Gets the value of the delta property.
getDensityBasedClusterer() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Get the clusterer used by this filter
getDependencies() - Method in class weka.core.packageManagement.DefaultPackage
Get the list of packages that this package depends on.
getDependencies() - Method in class weka.core.packageManagement.Package
Get the list of packages that this package depends on.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.BayesInput
Gets the value of the derivedField property.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
Gets the value of the derivedField property.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
Gets the value of the derivedField property.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
Gets the value of the derivedField property.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
Gets the value of the derivedField property.
getDerivedFields() - Method in class weka.core.pmml.MiningSchema
 
getDerivedValue(double[]) - Method in class weka.core.pmml.DerivedFieldMetaInfo
Get the derived field value for the given incoming vector of values.
getDescendantPopulationSize() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
getDescendantPopulationSize() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
getDescending() - Method in class weka.knowledgeflow.steps.Sorter.SortRule
Return true if the sort is descending
getDescription() - Method in class weka.core.pmml.jaxbbindings.Decision
Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.Decisions
Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.Header
Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
Gets the value of the description property.
getDescription() - Method in class weka.core.Settings.SettingKey
Get the description (display name) of this setting
getDescription() - Method in class weka.gui.ExtensionFileFilter
Gets the description of accepted files.
getDescription() - Method in class weka.gui.visualize.BMPWriter
returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.gui.visualize.JComponentWriter
returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.gui.visualize.JPEGWriter
returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.gui.visualize.PNGWriter
returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.gui.visualize.PostscriptWriter
returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Get a description of this execution environment
getDescription() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Get a description of this execution environment
getDesignVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
Get the specific version of Weka the class is designed for.
getDesignVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
Get the specific version of Weka the class is designed for.
getDesignVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
Get the specific version of Weka the class is designed for.
getDesignVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
Get the specific version of Weka the class is designed for.
getDesiredWeightOfInstancesPerInterval() - Method in class weka.filters.unsupervised.attribute.Discretize
Get the DesiredWeightOfInstancesPerInterval value.
getDestination() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the default destination.
getDetectionPerAttribute() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Gets whether an Outlier/ExtremeValue attribute pair is generated for each numeric attribute ("true") or just one pair for all numeric attributes together ("false").
getDeviceConfiguration() - Method in class weka.gui.visualize.PostscriptGraphics
 
getDF() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the df property.
getDf() - Method in class weka.core.pmml.jaxbbindings.PCell
Gets the value of the df property.
getDiagDefault() - Method in class weka.core.pmml.jaxbbindings.Matrix
Gets the value of the diagDefault property.
getDictionaries(boolean) - Method in class weka.core.DictionaryBuilder
Get the current dictionary(s) (one per class for nominal class, if set).
getDictionary() - Method in class weka.classifiers.functions.SGDText
Get this model's dictionary (including term weights).
getDictionaryFile() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Get the dictionary file to read from
getDictionaryFileToSaveTo() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Set the dictionary file to save the dictionary to.
getDictionaryHandler() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Get the dictionary builder used to manage the dictionary and perform the actual vectorization
getDictionaryIsBinary() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
 
getDictionarySize() - Method in class weka.classifiers.functions.SGDText
Return the size of the dictionary (minus any low frequency terms that are below the threshold but haven't been pruned yet).
getDir() - Method in class weka.core.Javadoc
returns the current dir containing the class to update.
getDir() - Method in class weka.gui.Loader
returns the dir prefix
getDirection() - Method in class weka.attributeSelection.BestFirst
Get the search direction
getDirectory() - Method in class weka.core.converters.TextDirectoryLoader
get the Dir specified as the source
getDirectory() - Method in class weka.gui.beans.SerializedModelSaver
Get the directory that the model(s) will be saved into
getDiscardPredictions() - Method in class weka.classifiers.evaluation.Evaluation
Returns whether predictions are not recorded at all, in order to conserve memory.
getDiscardPredictions() - Method in class weka.classifiers.Evaluation
Returns whether predictions are not recorded at all, in order to conserve memory.
getDiscretize() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the discretize property.
getDiscretize() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the discretize property.
getDiscretize() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the discretize property.
getDiscretizeBin() - Method in class weka.core.pmml.jaxbbindings.Discretize
Gets the value of the discretizeBin property.
getDiscretizer() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Return the discretizer used at this node
getDiscrStats() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Gets the value of the discrStats property.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.CSV
Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.HTML
Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.InMemory
Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.Null
Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.PlainText
Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.XML
Returns a short display text, to be used in comboboxes.
getDisplay() - Method in enum weka.core.TechnicalInformation.Field
returns the display string
getDisplay() - Method in enum weka.core.TechnicalInformation.Type
returns the display string
getDisplayCol(int) - Method in class weka.experiment.ResultMatrix
returns the displayed index of the given col, depending on the order of columns, returns -1 if index out of bounds.
getDisplayedResultsets() - Method in class weka.experiment.PairedTTester
Gets the indices of the the datasets that are displayed (if null then all are displayed).
getDisplayedResultsets() - Method in interface weka.experiment.Tester
Gets the indices of the the datasets that are displayed (if null then all are displayed).
getDisplayModelInOldFormat() - Method in class weka.classifiers.bayes.NaiveBayes
Get whether to display model output in the old, original format.
getDisplayModelInOldFormat() - Method in class weka.clusterers.EM
Get whether to display model output in the old, original format.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.ResultField
Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
Gets the value of the displayName property.
getDisplayName() - Method in class weka.experiment.PairedCorrectedTTester
returns the name of the tester
getDisplayName() - Method in class weka.experiment.PairedTTester
returns the name of the tester
getDisplayName() - Method in class weka.experiment.ResultMatrix
returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixCSV
returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixHTML
returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixLatex
returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixPlainText
returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixSignificance
returns the name of the output format.
getDisplayName() - Method in interface weka.experiment.Tester
returns the name of the testing algorithm
getDisplayRow(int) - Method in class weka.experiment.ResultMatrix
returns the displayed index of the given row, depending on the order of rows, returns -1 if index out of bounds.
getDisplayRules() - Method in class weka.classifiers.rules.DecisionTable
Gets whether rules are being printed
getDisplayStdDevs() - Method in class weka.clusterers.SimpleKMeans
Gets whether standard deviations and nominal count.
getDisplayStepLabel() - Method in class weka.gui.knowledgeflow.NoteVisual
 
getDisplayStepLabel() - Method in class weka.gui.knowledgeflow.StepVisual
Returns true if the step label is to be displayed.
getDisplayValue() - Method in class weka.core.pmml.FieldMetaInfo.Value
 
getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.Decision
Gets the value of the displayValue property.
getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
Gets the value of the displayValue property.
getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.Value
Gets the value of the displayValue property.
getDistance() - Method in class weka.core.FilteredDistance
Gets the distance used.
getDistanceFunction() - Method in class weka.clusterers.HierarchicalClusterer
 
getDistanceFunction() - Method in class weka.clusterers.SimpleKMeans
returns the distance function currently in use.
getDistanceFunction() - Method in class weka.core.neighboursearch.KDTree
returns the distance function currently in use.
getDistanceFunction() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
returns the distance function currently in use.
getDistanceIsBranchLength() - Method in class weka.clusterers.HierarchicalClusterer
 
getDistances() - Method in class weka.core.neighboursearch.BallTree
Returns the distances of the k nearest neighbours.
getDistances() - Method in class weka.core.neighboursearch.CoverTree
Returns the distances of the (k)-NN(s) found earlier by kNearestNeighbours()/nearestNeighbour().
getDistances() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns the distances for the nearest neighbours in the FILTERED space
getDistances() - Method in class weka.core.neighboursearch.KDTree
Returns the distances to the kNearest or 1 nearest neighbour currently found with either the kNearestNeighbours or the nearestNeighbour method.
getDistances() - Method in class weka.core.neighboursearch.LinearNNSearch
Returns the distances of the k nearest neighbours.
getDistances() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns the distances of the k nearest neighbours.
getDistanceWeighting() - Method in class weka.classifiers.lazy.IBk
Gets the distance weighting method used.
getDistMult() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the distance multiplier.
getDistParameter() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the distParameter property.
getDistribution(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
returns distribution of a node in matrix form with matrix representing distribution with P[i][j] = P(node = j | parent configuration = i)
getDistribution(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
returns distribution of a node in matrix form with matrix representing distribution with P[i][j] = P(node = j | parent configuration = i)
getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.HNode
Return a class probability distribution computed from the frequency counts at this node
getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.NBNode
 
getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.NBNodeAdaptive
 
getDistribution() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the distribution property.
getDistribution() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns the current distribution that'll be used for calculating the random matrix
getDistributions() - Method in class weka.classifiers.bayes.BayesNet
Get full set of estimators.
getDistributions(int) - Method in class weka.classifiers.rules.RuleStats
Get the class distribution predicted by the rule in given position
getDistributionSpread() - Method in class weka.filters.supervised.instance.SpreadSubsample
Gets the value for the distribution spread
getDocType() - Method in class weka.core.xml.XMLDocument
returns the current DOCTYPE, can be null.
getDocument() - Method in class weka.core.xml.XMLDocument
returns the parsed DOM document.
getDocument() - Method in class weka.core.xml.XMLOptions
returns the parsed DOM document.
getDocument() - Method in class weka.gui.DocumentPrinting
Returns the document to print.
getDocumentNormalization() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
Gets the value of the documentNormalization property.
getDoNotCheckCapabilities() - Method in class weka.associations.AbstractAssociator
Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.attributeSelection.ASEvaluation
Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.classifiers.AbstractClassifier
Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.classifiers.functions.supportVector.Kernel
 
getDoNotCheckCapabilities() - Method in class weka.clusterers.AbstractClusterer
Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in interface weka.core.CapabilitiesIgnorer
Returns true if we do not actually want to check capabilities to conserver runtime.
getDoNotCheckCapabilities() - Method in class weka.core.converters.AbstractSaver
Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.core.FindWithCapabilities
Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.estimators.Estimator
Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.filters.Filter
Get whether capabilities checking is turned off.
getDoNotCheckForModifiedClassAttribute() - Method in class weka.classifiers.meta.FilteredClassifier
Returns true if classifier checks whether class attribute has been modified by filter.
getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.rules.PART
Gets the value of doNotMakeSplitPointActualValue.
getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.trees.J48
Gets the value of doNotMakeSplitPointActualValue.
getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.trees.LMT
Gets the value of doNotMakeSplitPointActualValue.
getDoNotOperateOnPerClassBasis() - Method in class weka.core.converters.DictionarySaver
Get the DoNotOperateOnPerClassBasis value.
getDoNotOperateOnPerClassBasis() - Method in class weka.core.DictionaryBuilder
Get the DoNotOperateOnPerClassBasis value.
getDoNotOperateOnPerClassBasis() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Get the DoNotOperateOnPerClassBasis value.
getDoNotPrintModels() - Method in class weka.classifiers.meta.Vote
Get whether to print the individual ensemble models in the output
getDoNotStandardizeAttributes() - Method in class weka.classifiers.functions.Logistic
Gets whether not to standardize attributes.
getDontFilterAfterFirstBatch() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Get whether to apply the filter to instances that arrive once the first (training) batch has been seen.
getDontNormalize() - Method in class weka.classifiers.functions.SGD
Get whether normalization has been turned off.
getDontNormalize() - Method in class weka.core.NormalizableDistance
Gets whether if the attribute values are to be normazlied in distance calculation.
getDontReplaceMissing() - Method in class weka.classifiers.functions.SGD
Get whether global replacement of missing values has been disabled.
getDontReplaceMissingValues() - Method in class weka.clusterers.Canopy
Gets whether missing values are to be replaced.
getDontReplaceMissingValues() - Method in class weka.clusterers.SimpleKMeans
Gets whether missing values are to be replaced.
getDontShowDialog(String) - Static method in class weka.core.Utils
For a named dialog, returns true if the user has opted not to view it again in the future.
getDontShowDialogResponse(String) - Static method in class weka.core.Utils
For a named dialog, if the user has opted not to view it again, returns the answer the answer the user supplied when they closed the dialog.
getDoublePivot() - Method in class weka.core.matrix.LUDecomposition
Return pivot permutation vector as a one-dimensional double array
getDownstreamStepNames() - Method in class weka.knowledgeflow.steps.FlowByExpression
Get a list of the names of connected downstream steps
getDynamicArgsField() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get the name of the attribute in the incoming instance structure that contains the arguments to the command to execute
getDynamicCmdField() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get the name of the attribute in the incoming instance structure that contains the command to execute
getDynamicVarsInternalRep() - Method in class weka.knowledgeflow.steps.SetVariables
 
getDynamicWorkingDirField() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get the name of the attribute in the incoming instance structure that containst the working directory for the command to execute
getEdited() - Method in class weka.gui.knowledgeflow.VisibleLayout
Get whether this flow has been altered since the last save operation
getEditedStatus() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
Get the edited status of the currently selected tab.
getEditedStatus(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
Get the edited status of the tab at the supplied index.
getEditor() - Method in class weka.gui.PropertyDialog
Gets the current property editor.
getEditorActive() - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
Returns true if the editor is currently in an active status---that is the array is active and able to be edited.
getEigenValues() - Method in class weka.attributeSelection.PrincipalComponents
Return the eigenvalues corresponding to the eigenvectors
getElement(int, int) - Method in class weka.classifiers.CostMatrix
Return the value of a cell as a double (for legacy code)
getElement(int, int, Instance) - Method in class weka.classifiers.CostMatrix
Return the value of a cell as a double.
getElement(int) - Method in class weka.core.AlgVector
Returns the value of a cell in the matrix.
getElement(int, int) - Method in class weka.core.Matrix
Deprecated.
Returns the value of a cell in the matrix.
getElementAt(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Returns the component at the specified index.
getElements() - Method in class weka.core.AlgVector
Gets the elements of the vector and returns them as double array.
getEliminateColinearAttributes() - Method in class weka.classifiers.functions.LinearRegression
Get the value of EliminateColinearAttributes.
getEmpty() - Method in class weka.core.TestOptions
 
getEnabled() - Method in class weka.core.Debug
returns whether the logging is enabled
getEnclosureCharacters() - Method in class weka.core.converters.CSVLoader
Get the character(s) to use/recognize as string enclosures
getEndTime() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Gets the value of the endTime property.
getEndTimeVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the endTimeVariable property.
getEntropicAutoBlend() - Method in class weka.classifiers.lazy.KStar
Get whether entropic blending being used
getEntry(double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Returns the table entry to which the specified key is mapped in this hashtable.
getEntry(String, String, Class<?>) - Method in interface weka.core.metastore.MetaStore
Get a named entry from the store
getEntry(String, String, Class<?>) - Method in class weka.core.metastore.XMLFileBasedMetaStore
 
getEnumClass() - Method in class weka.core.EnumHelper
Get the fully qualified enum class name
getEnumerateColNames() - Method in class weka.experiment.ResultMatrix
returns whether column names are prefixed with the index.
getEnumerateRowNames() - Method in class weka.experiment.ResultMatrix
returns whether row names or prefixed with the index.
getEnvironment() - Method in class weka.gui.beans.FlowRunner
Get the environment variables that are in use.
getEnvironment() - Method in class weka.gui.knowledgeflow.StepEditorDialog
Get environment variables
getEnvironment() - Method in class weka.gui.knowledgeflow.VisibleLayout
Get the environment variables being used by this layout
getEnvironmentSettings() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getEnvironmentSettings(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getEnvironmentVariables() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Get environment variables for this execution environment
getEnvironmentVariables() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Get environment variables for this execution environment
getEpilogue() - Method in class weka.datagenerators.DataGenerator
Gets the epilogue string.
getEpochs() - Method in class weka.classifiers.functions.SGD
Get current number of epochs
getEpochs() - Method in class weka.classifiers.functions.SGDText
Get current number of epochs
getEpsilon() - Method in class weka.classifiers.functions.SGD
Get the epsilon threshold on the error for epsilon insensitive and Huber loss functions
getEpsilon() - Method in class weka.classifiers.functions.SMO
Get the value of epsilon.
getEpsilon() - Method in class weka.classifiers.functions.supportVector.RegSMO
Get the value of epsilon.
getEpsilonParameter() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Get the value of epsilon parameter of the epsilon insensitive loss function.
getError() - Method in class weka.classifiers.BVDecompose
Get the calculated error rate
getError() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the calculated error rate
getError() - Method in class weka.knowledgeflow.ExecutionResult
Get the Exception generated during processing of a StepTask, or null if the task completed successfully.
getErrorOnProbabilities() - Method in class weka.classifiers.functions.SimpleLogistic
Get the value of errorOnProbabilities.
getErrorOnProbabilities() - Method in class weka.classifiers.trees.LMT
Get the value of errorOnProbabilities.
getErrorPlotPointSizeProportionalToMargin() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Get whether the point size on classification error plots should be proportional to the prediction margin.
getErrorPlotPointSizeProportionalToMargin() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Get whether the size of plot data points will be proportional to the prediction margin
getErrors() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Return the errors made by the naive bayes model at this node
getErrors() - Method in class weka.classifiers.trees.j48.NBTreeSplit
Return the errors made by the naive bayes models arising from this split.
getEstimatedErrorsForLeaf() - Method in class weka.classifiers.rules.part.C45PruneableDecList
Computes estimated errors for leaf.
getEstimator() - Method in class weka.classifiers.bayes.BayesNet
Get the BayesNetEstimator used for calculating the CPTs
getEstimator() - Method in class weka.classifiers.meta.RegressionByDiscretization
Get the estimator
getEstimator() - Method in class weka.estimators.CheckEstimator
Get the estimator used as the estimator
getEstimator(double) - Method in interface weka.estimators.ConditionalEstimator
Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.DDConditionalEstimator
Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.DKConditionalEstimator
Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.DNConditionalEstimator
Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.KDConditionalEstimator
Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.KKConditionalEstimator
Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.NDConditionalEstimator
Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.NNConditionalEstimator
Get a probability estimator for a value
getEstimator() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Get the naive Bayes estimator in use
getEuclidean() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the euclidean property.
getEvaluateWithRespectToCosts() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Get whether to evaluate with respoect to costs
getEvaluation() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Returns the Evaluation object in use.
getEvaluationMeasure() - Method in class weka.attributeSelection.ClassifierAttributeEval
Gets the currently set performance evaluation measure used for selecting attributes for the decision table
getEvaluationMeasure() - Method in class weka.attributeSelection.ClassifierSubsetEval
Gets the currently set performance evaluation measure used for selecting attributes for the decision table
getEvaluationMeasure() - Method in class weka.attributeSelection.WrapperSubsetEval
Gets the currently set performance evaluation measure used for selecting attributes for the decision table
getEvaluationMeasure() - Method in class weka.classifiers.rules.DecisionTable
Gets the currently set performance evaluation measure used for selecting attributes for the decision table
getEvaluationMetric() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the evaluation metric to use
getEvaluationMetricsToOutput() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Get the evaluation metrics to output (as a comma-separated list).
getEvaluationMetricsToOutput() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Get the evaluation metrics to output (as a comma-separated list).
getEvaluator() - Method in class weka.attributeSelection.CheckAttributeSelection
Get the current evaluator
getEvaluator() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Gets the attribute evaluator used
getEvaluator() - Method in class weka.filters.supervised.attribute.AttributeSelection
Get the name of the attribute/subset evaluator
getEvaluator() - Method in class weka.knowledgeflow.steps.ASEvaluator
Get the evaluator wrapped by this step
getEvalUsingTrainingData() - Method in class weka.attributeSelection.OneRAttributeEval
Returns true if the training data is to be used for evaluation
getEventName() - Method in class weka.gui.beans.BeanConnection
Returns the name of the event for this conncetion
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractDataSinkBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractDataSourceBeanInfo
Get the event set descriptors pertinent to data sources
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTestSetProducerBeanInfo
 
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo
 
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTrainingSetProducerBeanInfo
Returns event set descriptors for this type of bean
getEventSetDescriptors() - Method in class weka.gui.beans.AppenderBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.AssociatorBeanInfo
 
getEventSetDescriptors() - Method in class weka.gui.beans.AttributeSummarizerBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.ClassAssignerBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.ClassifierBeanInfo
 
getEventSetDescriptors() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
 
getEventSetDescriptors() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.ClustererBeanInfo
 
getEventSetDescriptors() - Method in class weka.gui.beans.ClustererPerformanceEvaluatorBeanInfo
 
getEventSetDescriptors() - Method in class weka.gui.beans.CostBenefitAnalysisBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.DataVisualizerBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.FilterBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.FlowByExpressionBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.GraphViewerBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.ImageSaverBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.ImageViewerBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.InstanceStreamToBatchMakerBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.JoinBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.ModelPerformanceChartBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.NoteBeanInfo
 
getEventSetDescriptors() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
Get the event set descriptors pertinent to data sources
getEventSetDescriptors() - Method in class weka.gui.beans.ScatterPlotMatrixBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.SerializedModelSaverBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.SorterBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.StripChartBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.SubstringLabelerBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.SubstringReplacerBeanInfo
Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.TextSaverBeanInfo
Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.TextViewerBeanInfo
Get the event set descriptors for this bean
getEvidence(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
get evidence state of a node.
getException() - Method in class weka.gui.sql.event.ConnectionEvent
returns the stored exception, if any (can be NULL)
getException() - Method in class weka.gui.sql.event.QueryExecuteEvent
returns the exception, if one happened, otherwise NULL
getExcludeNominalAttributes() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Get whether nominal attributes are to be excluded from the transformation
getExcludeNumericAttributes() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Get whether numeric attributes are being excluded from the transformation
getExecuting() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getExecuting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getExecutionEnvironment() - Method in interface weka.knowledgeflow.FlowExecutor
Return the execution environment object for this flow executor
getExecutionEnvironment() - Method in class weka.knowledgeflow.FlowRunner
 
getExecutionEnvironment() - Method in interface weka.knowledgeflow.StepManager
Get the executing environment.
getExecutionEnvironment() - Method in class weka.knowledgeflow.StepManagerImpl
Get the execution environment the managed step is running in
getExecutionSlots() - Method in class weka.gui.beans.Classifier
Get the number of execution slots (threads) used to train models.
getExecutionSlots() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Get the number of execution slots to use.
getExecutionStatus() - Method in class weka.experiment.TaskStatusInfo
Get the execution status of this Task.
getExecutionThread() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getExecutionThread(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getExitIfNoWindowsOpen() - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Gets whether System.exit gets called after the last window gets closed
getExitOnClose() - Method in class weka.gui.arffviewer.ArffViewer
returns TRUE if a System.exit(0) is done on a close
getExitOnClose() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns TRUE if a System.exit(0) is done on a close
getExpectedResultsPerAverage() - Method in class weka.experiment.AveragingResultProducer
Get the value of ExpectedResultsPerAverage.
getExperiment() - Method in class weka.experiment.RemoteExperimentSubTask
Get the experiment for this sub task
getExperiment() - Method in class weka.gui.experiment.AbstractSetupPanel
Gets the currently configured experiment.
getExperiment() - Method in class weka.gui.experiment.SetupModePanel
Gets the currently configured experiment.
getExperiment() - Method in class weka.gui.experiment.SetupPanel
Gets the currently configured experiment.
getExperiment() - Method in class weka.gui.experiment.SimpleSetupPanel
Gets the currently configured experiment.
getExperimentType() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the default experiment type.
getExplicitPropsFile() - Method in class weka.gui.GenericPropertiesCreator
returns TRUE, if a file is loaded and not the Utils class used for locating the props file.
getExplorer() - Method in class weka.gui.explorer.AssociationsPanel
returns the parent Explorer frame
getExplorer() - Method in class weka.gui.explorer.AttributeSelectionPanel
returns the parent Explorer frame
getExplorer() - Method in class weka.gui.explorer.ClassifierPanel
returns the parent Explorer frame.
getExplorer() - Method in class weka.gui.explorer.ClustererPanel
returns the parent Explorer frame
getExplorer() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
returns the parent Explorer frame
getExplorer() - Method in class weka.gui.explorer.PreprocessPanel
returns the parent Explorer frame
getExplorer() - Method in class weka.gui.explorer.VisualizePanel
returns the parent Explorer frame
getExponent() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Gets the exponent value.
getExponent() - Method in class weka.classifiers.functions.VotedPerceptron
Get the value of exponent.
getExponent() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the exponent property.
getExponent() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
Gets the value of the exponent property.
getExpression(Node, FieldMetaInfo.Optype, ArrayList<Attribute>, TransformationDictionary) - Static method in class weka.core.pmml.Expression
Static factory method that returns a subclass of Expression that encapsulates the type of expression contained in the Element supplied.
getExpression(String, Node, FieldMetaInfo.Optype, ArrayList<Attribute>, TransformationDictionary) - Static method in class weka.core.pmml.Expression
Static factory method that returns a subclass of Expression that encapsulates the type of expression supplied as an argument.
getEXPRESSION() - Method in class weka.core.pmml.jaxbbindings.Apply
Gets the value of the expression property.
getExpression() - Method in class weka.datagenerators.classifiers.regression.Expression
Gets the mathematical expression for generating y out of x
getExpression() - Method in class weka.filters.unsupervised.attribute.AddExpression
Get the expression
getExpression() - Method in class weka.filters.unsupervised.attribute.MathExpression
Get the expression
getExpression() - Method in class weka.filters.unsupervised.attribute.RemoveByName
Returns the regular expression in use.
getExpression() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Returns the expression used for filtering.
getExpressionString() - Method in class weka.gui.beans.FlowByExpression
Get the current expression (in internal format)
getExpressionString() - Method in class weka.knowledgeflow.steps.FlowByExpression
Get the current expression (in internal format)
getExtender() - Method in class weka.core.pmml.jaxbbindings.Extension
Gets the value of the extender property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Aggregate
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Alternate
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Anova
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Application
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Apply
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Attribute
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Baseline
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesInput
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesInputs
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Categories
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Category
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Characteristic
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Characteristics
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Chebychev
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ChildParent
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CityBlock
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ClassLabels
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Cluster
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Coefficient
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Coefficients
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Comparisons
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Con1
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ContStats
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Correlations
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Counts
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Covariances
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CovariateList
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Decision
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Decisions
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Delimiter
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Discretize
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Euclidean
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.EventValues
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FactorList
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.False
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldRef
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldValue
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Header
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.InlineTable
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.InstanceField
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.InstanceFields
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Interval
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Item
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ItemRef
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Itemset
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Jaccard
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.KNNInput
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.KNNInputs
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LiftData
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MapValues
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningBuildTask
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningSchema
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Minkowski
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelStats
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Neuron
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Output
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PairCounts
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Parameter
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ParameterList
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Partition
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PCell
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PCovCell
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PMML
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PPCell
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PPMatrix
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Predictor
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Quantile
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ResultField
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ROC
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RuleSet
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Segmentation
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Sequence
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SequenceReference
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SetReference
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleMatching
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SquaredEuclidean
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVector
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TableLocator
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Tanimoto
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Targets
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValue
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValueCounts
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextCorpus
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextDocument
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Time
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.True
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Value
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorFields
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VerificationField
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VerificationFields
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.XCoordinates
Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.YCoordinates
Gets the value of the extension property.
getExtension() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the default experiment extension.
getExtension() - Method in class weka.gui.visualize.BMPWriter
returns the extension (incl.
getExtension() - Method in class weka.gui.visualize.JComponentWriter
returns the extension (incl.
getExtension() - Method in class weka.gui.visualize.JPEGWriter
returns the extension (incl.
getExtension() - Method in class weka.gui.visualize.PNGWriter
returns the extension (incl.
getExtension() - Method in class weka.gui.visualize.PostscriptWriter
returns the extension (incl.
getExtensionAndDelimiterAndTime() - Method in class weka.core.pmml.jaxbbindings.Sequence
Gets the value of the extensionAndDelimiterAndTime property.
getExtensions() - Method in class weka.gui.ExtensionFileFilter
Returns a copy of the acceptable extensions.
getExtremeValuesAsOutliers() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Get whether extreme values are also tagged as outliers.
getExtremeValuesFactor() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Gets the factor for determining the thresholds for extreme values.
getFactory() - Method in class weka.core.xml.XMLDocument
returns the DocumentBuilderFactory.
getFailReason() - Method in class weka.core.Capabilities
returns the reason why the tests failed, is null if tests succeeded
getFallout() - Method in class weka.classifiers.evaluation.TwoClassStats
Calculate the fallout.
getFalse() - Method in class weka.core.pmml.jaxbbindings.Attribute
Gets the value of the false property.
getFalse() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Gets the value of the false property.
getFalse() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the false property.
getFalse() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the false property.
getFalseNegative() - Method in class weka.classifiers.evaluation.TwoClassStats
Gets the number of positive instances predicted as negative
getFalsePositive() - Method in class weka.classifiers.evaluation.TwoClassStats
Gets the number of negative instances predicted as positive
getFalsePositiveRate() - Method in class weka.classifiers.evaluation.TwoClassStats
Calculate the false positive rate.
getFalseStepName() - Method in class weka.gui.beans.FlowByExpression
Get the name of the connected step to send "false" instances to
getFalseStepName() - Method in class weka.knowledgeflow.steps.FlowByExpression
Get the name of the connected step to send "false" instances to
getFastDistanceCalc() - Method in class weka.clusterers.SimpleKMeans
Gets whether to use faster distance calculation.
getFastRegression() - Method in class weka.classifiers.trees.LMT
Get the value of fastRegression.
getFeature() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the feature property.
getFeature() - Method in class weka.core.pmml.jaxbbindings.ResultField
Gets the value of the feature property.
getField() - Method in class weka.core.pmml.jaxbbindings.Aggregate
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.Discretize
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.FieldRef
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.FieldValue
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.InstanceField
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.KNNInput
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.VerificationField
Gets the value of the field property.
getFieldAsAttribute() - Method in class weka.core.pmml.DerivedFieldMetaInfo
Get this derived field as an Attribute.
getFieldAsAttribute() - Method in class weka.core.pmml.FieldMetaInfo
Return this field as an Attribute.
getFieldAsAttribute() - Method in class weka.core.pmml.MiningFieldMetaInfo
Return this mining field as an Attribute.
getFieldAsAttribute() - Method in class weka.core.pmml.TargetMetaInfo
Return this field as an Attribute.
getFieldColumnPair() - Method in class weka.core.pmml.jaxbbindings.MapValues
Gets the value of the fieldColumnPair property.
getFieldCount() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Gets the value of the fieldCount property.
getFieldCount() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Gets the value of the fieldCount property.
getFieldDef(String) - Method in class weka.core.pmml.Expression
Return the named attribute from the list of reference fields.
getFieldDefIndex(String) - Method in class weka.core.pmml.Expression
 
getFieldName() - Method in class weka.core.pmml.FieldMetaInfo
Get the name of this field.
getFieldName() - Method in class weka.core.pmml.jaxbbindings.BayesInput
Gets the value of the fieldName property.
getFieldName() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
Gets the value of the fieldName property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.Baseline
Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.VectorFields
Gets the value of the fieldRef property.
getFieldsAsInstances() - Method in class weka.core.pmml.MiningSchema
Get the all the fields (both mining schema and derived) as Instances.
getFieldSeparator() - Method in class weka.core.converters.CSVLoader
Returns the character used as column separator.
getFieldSeparator() - Method in class weka.core.converters.CSVSaver
Returns the character used as column separator.
getFieldsMappingString() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Get a textual description of the mapping between mining schema fields and incoming data fields.
getFieldsMappingString() - Method in class weka.core.pmml.MappingInfo
Get a textual description of them mapping between mining schema fields and incoming data fields.
getFieldValue() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
Gets the value of the fieldValue property.
getFieldValue() - Method in class weka.core.pmml.jaxbbindings.FieldValue
Gets the value of the fieldValue property.
getFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
Gets the value of the fieldValueCount property.
getFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.FieldValue
Gets the value of the fieldValueCount property.
getFieldWeight() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Gets the value of the fieldWeight property.
getFieldWeight() - Method in class weka.core.pmml.jaxbbindings.KNNInput
Gets the value of the fieldWeight property.
getFile() - Method in class weka.core.FileHelper
Get the file wrapped in this instance
getFile() - Method in class weka.core.pmml.jaxbbindings.TextDocument
Gets the value of the file property.
getFile() - Method in class weka.gui.visualize.JComponentWriter
returns the file being used for storing the output
getFile() - Method in class weka.knowledgeflow.steps.ImageSaver
Get the file to save to
getFile() - Method in class weka.knowledgeflow.steps.TextSaver
Get the file to save to
getFileDescription() - Method in class weka.core.converters.AbstractFileSaver
to be pverridden
getFileDescription() - Method in class weka.core.converters.ArffLoader
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.ArffSaver
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.C45Loader
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.C45Saver
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.CSVLoader
 
getFileDescription() - Method in class weka.core.converters.CSVSaver
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.DictionarySaver
 
getFileDescription() - Method in interface weka.core.converters.FileSourcedConverter
Get a one line description of the type of file
getFileDescription() - Method in class weka.core.converters.JSONLoader
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.JSONSaver
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.LibSVMLoader
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.LibSVMSaver
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.MatlabLoader
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.MatlabSaver
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.SerializedInstancesLoader
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.SerializedInstancesSaver
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.SVMLightLoader
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.SVMLightSaver
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.TextDirectoryLoader
Returns a description of the file type, actually it's directories.
getFileDescription() - Method in class weka.core.converters.XRFFLoader
Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.XRFFSaver
Returns a description of the file type.
getFileExtension() - Method in class weka.core.converters.AbstractFileSaver
Gets ihe file extension.
getFileExtension() - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
getFileExtension() - Method in class weka.core.converters.ArffLoader
Get the file extension used for arff files
getFileExtension() - Method in class weka.core.converters.C45Loader
Get the file extension used for arff files
getFileExtension() - Method in class weka.core.converters.CSVLoader
 
getFileExtension() - Method in interface weka.core.converters.FileSourcedConverter
Get the file extension used for this type of file
getFileExtension() - Method in class weka.core.converters.JSONLoader
Get the file extension used for JSON files.
getFileExtension() - Method in class weka.core.converters.LibSVMLoader
Get the file extension used for libsvm files.
getFileExtension() - Method in class weka.core.converters.MatlabLoader
Get the file extension used for libsvm files.
getFileExtension() - Method in interface weka.core.converters.Saver
Gets the file extension
getFileExtension() - Method in class weka.core.converters.SerializedInstancesLoader
Get the file extension used for arff files
getFileExtension() - Method in class weka.core.converters.SVMLightLoader
Get the file extension used for svm light files.
getFileExtension() - Method in class weka.core.converters.XRFFLoader
Get the file extension used for libsvm files
getFileExtensions() - Method in class weka.core.converters.AbstractFileSaver
Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.ArffLoader
Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.ArffSaver
Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.C45Loader
Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.CSVLoader
 
getFileExtensions() - Method in interface weka.core.converters.FileSourcedConverter
Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.JSONLoader
Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.JSONSaver
Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.LibSVMLoader
Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.MatlabLoader
Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.SerializedInstancesLoader
Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.SVMLightLoader
Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.XRFFLoader
Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.XRFFSaver
Gets all the file extensions used for this type of file
getFileFormat() - Method in class weka.gui.beans.SerializedModelSaver
Get the file format to use for saving.
getFileLoaders() - Static method in class weka.core.converters.ConverterResources
Returns the file loaders.
getFileLoaders() - Static method in class weka.core.converters.ConverterUtils
returns a vector with the classnames of all the file loaders.
getFileMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
returns all the file/dir matches with the partial search string.
getFileMustExist() - Method in class weka.gui.ConverterFileChooser
Returns whether the selected file must exist (only open dialog).
getFileName() - Method in class weka.classifiers.bayes.net.BIFReader
returns the current filename
getFilename() - Method in class weka.core.Debug.Log
returns the filename of the log, can be null
getFilename() - Method in class weka.core.Debug.SimpleLog
returns the filename of the log, can be null
getFilename() - Method in class weka.core.FindWithCapabilities
returns the current filename for the dataset to base the capabilities on.
getFilename() - Method in class weka.gui.arffviewer.ArffPanel
returns the filename
getFilename(int) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the filename of the specified panel
getFilename() - Method in class weka.gui.beans.ImageSaver
Get the filename to save to
getFilename() - Method in class weka.gui.beans.TextSaver
Get the filename to save to
getFilename() - Method in class weka.gui.scripting.Script
Returns the current filename.
getFilenamePrefix() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Get the text to prepend to the filename
getFilePath() - Method in class weka.core.FileHelper
Get the file path
getFilePath() - Method in class weka.gui.knowledgeflow.VisibleLayout
Get the current path (if any) of the flow being edited in this layout
getFileSavers() - Static method in class weka.core.converters.ConverterResources
Returns the file savers.
getFileSavers() - Static method in class weka.core.converters.ConverterUtils
returns a vector with the classnames of all the file savers.
getFillWithMissing() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Gets whether missing values should be used rather than removing instances where the translated value is not known (due to border effects).
getFilter() - Method in class weka.associations.FilteredAssociator
Gets the filter used.
getFilter() - Method in class weka.classifiers.meta.FilteredClassifier
Gets the filter used.
getFilter() - Method in class weka.clusterers.FilteredClusterer
Gets the filter used.
getFilter() - Method in class weka.core.FilteredDistance
Gets the filter used.
getFilter() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Gets the filter used.
getFilter() - Method in class weka.filters.CheckSource
Gets the filter being used for the tests, can be null.
getFilter(int) - Method in class weka.filters.MultiFilter
Gets a single filter from the set of available filters.
getFilter(int) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Gets a single filter from the set of available filters.
getFilter() - Method in class weka.gui.beans.Filter
 
getFilter() - Method in class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent
returns the associated Capabilities filter
getFilter() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the default filter (fully configured) for the preprocess panel.
getFilter() - Method in class weka.knowledgeflow.steps.Filter
Get the filter.
getFilterAfterFirstBatch() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Get whether to apply the filter to instances that arrive once the first (training) batch has been seen.
getFilterClass() - Method in class weka.gui.ExtensionFileFilterWithClass
Returns the underlying class.
getFiltered(int) - Method in class weka.classifiers.rules.RuleStats
Get the data after filtering the given rule
getFilteredInputFormat() - Method in class weka.attributeSelection.PrincipalComponents
Return the header of the training data after all filtering - i.e missing values and nominal to binary.
getFilters() - Method in class weka.filters.MultiFilter
Gets the list of possible filters to choose from.
getFilters() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Gets the list of possible filters to choose from.
getFilters() - Method in class weka.gui.scripting.GroovyScript
Returns the extension filters for this type of script.
getFilters() - Method in class weka.gui.scripting.JythonScript
Returns the extension filters for this type of script.
getFilters() - Method in class weka.gui.scripting.Script
Returns the extension filters for this type of script.
getFilterType() - Method in class weka.classifiers.functions.GaussianProcesses
Gets how the training data will be transformed.
getFilterType() - Method in class weka.classifiers.functions.SMO
Gets how the training data will be transformed.
getFilterType() - Method in class weka.classifiers.functions.SMOreg
Gets how the training data will be transformed.
getFind() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the current regular expression for .
getFindAllRulesForSupportLevel() - Method in class weka.associations.FPGrowth
Get whether all rules meeting the lower bound on min support and the minimum metric threshold are to be found.
getFindNumBins() - Method in class weka.filters.unsupervised.attribute.Discretize
Get the value of FindNumBins.
getFindNumBins() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Get the value of FindNumBins.
getFirstInputStructure() - Method in class weka.knowledgeflow.steps.Join
Get the Instances structure being produced by the first input
getFirstToken(StreamTokenizer) - Static method in class weka.core.converters.ConverterUtils
Gets token, skipping empty lines.
getFirstToken(StreamTokenizer) - Static method in class weka.core.converters.StreamTokenizerUtils
Gets token, skipping empty lines.
getFirstValueIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Get the index of the first value used.
getFirstValueIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
Get the index of the first value used.
getFlag(char, String[]) - Static method in class weka.core.Utils
Checks if the given array contains the flag "-Char".
getFlag(String, String[]) - Static method in class weka.core.Utils
Checks if the given array contains the flag "-String".
getFlow() - Method in class weka.gui.beans.KnowledgeFlowApp
Gets the current flow being edited.
getFlow() - Method in class weka.gui.knowledgeflow.VisibleLayout
Get the flow being edited by this layout
getFlow() - Method in interface weka.knowledgeflow.FlowExecutor
Get the flow to be executed
getFlow() - Method in class weka.knowledgeflow.FlowRunner
Get the flow to execute
getFlowExecutor() - Method in class weka.gui.knowledgeflow.VisibleLayout
Get the FlowExecutor being used for execution of this flow
getFlowExecutor() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Get the executor that will actually be responsible for running the flow.
getFlowFile() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getFlowFile(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getFlowFile() - Method in class weka.knowledgeflow.steps.Job
 
getFlowFileExtension() - Method in interface weka.knowledgeflow.FlowLoader
Get the extension of the Knowledge Flow file format handled by this loader
getFlowFileExtension() - Method in class weka.knowledgeflow.JSONFlowLoader
Get the file extension handled by this loader
getFlowFileExtension() - Method in class weka.knowledgeflow.LegacyFlowLoader
Get the flow file extension of the file format handled by this flow loader
getFlowFileExtensionDescription() - Method in interface weka.knowledgeflow.FlowLoader
Get a description of the flow file format handled by this loader
getFlowFileExtensionDescription() - Method in class weka.knowledgeflow.JSONFlowLoader
Get the description of the file format handled by this loader
getFlowFileExtensionDescription() - Method in class weka.knowledgeflow.LegacyFlowLoader
Get the description of the file format handled by this flow loader
getFlowID() - Method in class weka.knowledgeflow.Flow
Get an ID string for this flow.
getFlowLoader(String, Logger) - Static method in class weka.knowledgeflow.Flow
Utility method to get a FlowLoader implementation suitable for loading a flow with the supplied file extension.
getFlowName() - Method in class weka.knowledgeflow.Flow
Get the name of this Flow
getFlows() - Method in class weka.gui.beans.FlowRunner
Get the vector holding the flow(s)
getFlowXML() - Method in class weka.gui.beans.KnowledgeFlowApp
Returns the current flow being edited in XML format.
getFMeasure() - Method in class weka.classifiers.evaluation.TwoClassStats
Calculate the F-Measure.
getFold() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Gets the fold which is selected.
getFold() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Gets the fold which is selected.
getFoldColumn() - Method in class weka.experiment.PairedTTester
Get the value of FoldColumn.
getFoldColumn() - Method in interface weka.experiment.Tester
Get the value of FoldColumn.
getFolds() - Method in class weka.attributeSelection.ClassifierAttributeEval
Get the number of folds used for accuracy estimation
getFolds() - Method in class weka.attributeSelection.OneRAttributeEval
Get the number of folds used for cross validation
getFolds() - Method in class weka.attributeSelection.WrapperSubsetEval
Get the number of folds used for accuracy estimation
getFolds() - Method in class weka.classifiers.rules.JRip
Gets the number of folds
getFolds() - Method in class weka.gui.beans.CrossValidationFoldMaker
Get the currently set number of folds
getFolds() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the number of folds used for cross-validation.
getFont() - Method in class weka.core.FontHelper
Get the Font wrapped by this instance
getFont() - Method in class weka.gui.visualize.PostscriptGraphics
Get current font.
getFontMetrics(Font) - Method in class weka.gui.visualize.PostscriptGraphics
Get Font metrics
getFontName() - Method in class weka.core.FontHelper
Get the font name
getFontName() - Method in class weka.gui.scripting.SyntaxDocument
gets the current font family.
getFontRenderContext() - Method in class weka.gui.visualize.PostscriptGraphics
START overridden Graphics2D methods
getFontSize() - Method in class weka.core.FontHelper
Get the font size
getFontSize() - Method in class weka.gui.scripting.SyntaxDocument
gets the current font size.
getFontSizeAdjust() - Method in class weka.gui.beans.Note
Get the font size adjustment
getFontSizeAdjust() - Method in class weka.gui.knowledgeflow.NoteVisual
Get the font size adjustment
getFontStyle() - Method in class weka.core.FontHelper
Get the font style (see constants in Font class)
getForceResampleWithWeights() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Gets the size of each subSpace, as a percentage of the training set size.
getFormat() - Method in class weka.core.Debug.Timestamp
returns the current timestamp format
getFormat() - Method in class weka.knowledgeflow.steps.ImageSaver
Get the format of the image to save
getFrameLocation() - Method in class weka.gui.MemoryUsagePanel
Returns the default position for the dialog.
getFrameTitle() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the title (incl.
getFrequency() - Method in class weka.associations.Item
Get the frequency of this item.
getFreshCardinalityOfParents(Instances) - Method in class weka.classifiers.bayes.net.ParentSet
returns cardinality of parents after recalculation
getFrom() - Method in class weka.core.pmml.jaxbbindings.Con1
Gets the value of the from property.
getFromYear() - Static method in class weka.core.Copyright
returns the start year of the copyright
getFStatistic() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the fStatistic property.
getFStatistic() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the fStatistic property.
getFunction(String) - Static method in class weka.core.pmml.Function
Get a built-in PMML Function.
getFunction(String, TransformationDictionary) - Static method in class weka.core.pmml.Function
Get either a function.
getFunction() - Method in class weka.core.pmml.jaxbbindings.Aggregate
Gets the value of the function property.
getFunction() - Method in class weka.core.pmml.jaxbbindings.Apply
Gets the value of the function property.
getFunction() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Gets the function for generating the data.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TextModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the value of the functionName property.
getFValue() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Gets the value of the fValue property.
getGamma() - Method in class weka.classifiers.functions.supportVector.RBFKernel
Gets the gamma value.
getGamma() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Gets the value of the gamma property.
getGamma() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
Gets the value of the gamma property.
getGamma() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
Gets the value of the gamma property.
getGamma() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Gets the value of the gamma property.
getGap() - Method in class weka.core.pmml.jaxbbindings.Delimiter
Gets the value of the gap property.
getGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
Gets the value of the gaussianDistribution property.
getGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
Gets the value of the gaussianDistribution property.
getGCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
Recursively finds the number of visible groups of siblings there are.
getGeneralRegressionModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the generalRegressionModel property.
getGenerateRanking() - Method in class weka.attributeSelection.GreedyStepwise
Gets whether ranking has been requested.
getGenerateRanking() - Method in interface weka.attributeSelection.RankedOutputSearch
Gets whether the user has opted to see a ranked list of attributes rather than the normal result of the search
getGenerateRanking() - Method in class weka.attributeSelection.Ranker
This is a dummy method.
getGenerateSparseData() - Method in class weka.gui.sql.SqlViewerDialog
Returns whether sparse data is generated.
getGenerator() - Method in class weka.gui.explorer.DataGeneratorPanel
returns the currently selected DataGenerator
getGeneratorSamplesBase() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Get the base used for computing the number of samples to obtain from each generator
getGlobalBlend() - Method in class weka.classifiers.lazy.KStar
Get the value of the global blend parameter
getGlobalInfo(Object, boolean) - Static method in class weka.core.Utils
Utility method for grabbing the global info help (if it exists) from an arbitrary object.
getGlobalInfo(Object) - Static method in class weka.gui.beans.KnowledgeFlowApp
Utility method for grabbing the global info help (if it exists) from an arbitrary object
getGlobalInputProperties() - Static method in class weka.gui.GenericPropertiesCreator
Get the global input properties
getGlobalModel() - Method in class weka.classifiers.trees.j48.NBTreeSplit
Return the global naive bayes model for this node
getGlobalOutputProperties() - Static method in class weka.gui.GenericPropertiesCreator
Get the global output properties
getGlobalTermWeights() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
Gets the value of the globalTermWeights property.
getGracePeriod() - Method in class weka.classifiers.trees.HoeffdingTree
Get the number of instances (or total weight of instances) a leaf should observe between split attempts
getGraphicalEnvironmentCommandHandler() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Get the environment for performing commands at the application-level in a graphical environment.
getGraphicalEnvironmentCommandHandler() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Get the environment for performing commands at the application-level in a graphical environment.
getGraphString() - Method in class weka.gui.beans.GraphEvent
Return the dot string for the graph
getGraphTitle() - Method in class weka.gui.beans.GraphEvent
Return the graph title
getGraphType() - Method in class weka.gui.beans.GraphEvent
Return the graph type
getGridWidth() - Method in class weka.gui.beans.AttributeSummarizer
Get the width of the grid of plots
getGroupField() - Method in class weka.core.pmml.jaxbbindings.Aggregate
Gets the value of the groupField property.
getGroupIdentifier() - Method in class weka.gui.beans.BatchClassifierEvent
 
getGUI() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getGUIType() - Method in class weka.gui.Main
Gets the currently set type of GUI to display.
getH() - Method in class weka.core.matrix.QRDecomposition
Return the Householder vectors
getHandler() - Method in class weka.core.FindWithCapabilities
returns the current set CapabilitiesHandler to generate the dataset for, can be null.
getHandler() - Method in class weka.core.TestInstances
returns the current set CapabilitiesHandler to generate the dataset for, can be null
getHashtable(ArrayList<Object>, int) - Static method in class weka.associations.ItemSet
Return a hashtable filled with the given item sets.
getHashtable(ArrayList<Object>, int) - Static method in class weka.associations.LabeledItemSet
Return a hashtable filled with the given item sets.
getHeader() - Method in class weka.classifiers.bayes.NaiveBayes
Return the header that this classifier was trained with
getHeader() - Method in class weka.classifiers.evaluation.Evaluation
Returns the header of the underlying dataset.
getHeader() - Method in class weka.classifiers.Evaluation
Returns the header of the underlying dataset.
getHeader() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the header of the dataset.
getHeader() - Method in class weka.core.pmml.jaxbbindings.PMML
Gets the value of the header property.
getHeader(String) - Method in class weka.experiment.ResultMatrix
returns the value associated with the given key, null if if cannot be found.
getHeight() - Method in class weka.gui.beans.BeanInstance
Gets the height of this bean
getHeight(Node, int) - Static method in class weka.gui.treevisualizer.Node
Recursively finds the number of visible levels there are.
getHelp() - Method in class weka.gui.simplecli.AbstractCommand
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Capabilities
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Cls
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Echo
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Exit
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Help
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.History
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Java
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Kill
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Script
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Set
Returns the help string (no indentation).
getHelp() - Method in class weka.gui.simplecli.Unset
Returns the help string (no indentation).
getHeuristicStop() - Method in class weka.classifiers.functions.SimpleLogistic
Get the value of heuristicStop.
getHiddenLayers() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getHighValue() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the highValue property.
getHistory() - Method in class weka.gui.GenericObjectEditor
Returns the history of the used setups.
getHistory() - Method in class weka.gui.GenericObjectEditorHistory
Returns the current history.
getHistory() - Method in class weka.gui.sql.ConnectionPanel
returns the history.
getHistory() - Method in class weka.gui.sql.event.HistoryChangedEvent
returns the history model
getHistory() - Method in class weka.gui.sql.QueryPanel
returns the history.
getHistoryItem() - Method in class weka.gui.GenericObjectEditorHistory.HistorySelectionEvent
Returns the selected history item.
getHistoryName() - Method in class weka.gui.sql.event.HistoryChangedEvent
returns the name of the history
getHoeffdingTieThreshold() - Method in class weka.classifiers.trees.HoeffdingTree
Get the threshold below which a split will be forced to break ties
getHoldOutFile() - Method in class weka.attributeSelection.ClassifierSubsetEval
Gets the file that holds hold out/test instances.
getHomeDir() - Static method in class weka.core.Debug
returns the home directory of the user
getIcon(double) - Method in class weka.gui.knowledgeflow.StepVisual
Get the icon for this visual at the given scale factor
getIcon() - Method in class weka.gui.scripting.GroovyPanel
Returns an icon to be used in a frame.
getIcon() - Method in class weka.gui.scripting.JythonPanel
Returns an icon to be used in a frame.
getIcon() - Method in class weka.gui.scripting.ScriptingPanel
Returns an icon to be used in a frame.
getIcon() - Method in class weka.gui.SimpleCLIPanel
Returns an icon to be used in a frame.
getIconPath() - Method in class weka.gui.beans.BeanVisual
returns the path for the icon
getIconPath() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
Get the path to the icon for this wrapped algorithm
getId() - Method in class weka.classifiers.functions.neural.NeuralConnection
 
getID() - Method in class weka.core.Debug.Random
returns the unique ID of this number generator
getID() - Method in class weka.core.Defaults
Get the ID of this set of defaults
getId() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Cluster
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Item
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Itemset
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Neuron
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Node
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Sequence
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.TextDocument
Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
Gets the value of the id property.
getID() - Method in class weka.core.pmml.VectorInstance
Get the ID of this vector instance
getID() - Method in class weka.core.Settings
Get the ID used for these settings
getID() - Method in class weka.core.Tag
Gets the numeric ID of the Tag.
getID() - Method in class weka.core.TechnicalInformation
returns the unique ID (either the one used in creating this instance or the automatically generated one)
getID() - Method in class weka.gui.streams.InstanceEvent
Get the event type
getID() - Method in class weka.gui.treevisualizer.TreeDisplayEvent
 
getIDFTransform() - Method in class weka.core.DictionaryBuilder
Sets whether if the word frequencies in a document should be transformed into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
getIDFTransform() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets whether if the word frequencies in a document should be transformed into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
getIDFTransform() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets whether if the word frequencies in a document should be transformed into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
getIDIndex() - Method in class weka.filters.unsupervised.attribute.AddID
Get the index of the attribute used.
getIDStr() - Method in class weka.core.Tag
Gets the string ID of the Tag.
getIgnoreCase() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
 
getIgnoreCase() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Get whether to ignore case when matching
getIgnoreCase() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Get whether to ignore case when matching
getIgnoreCaseForNames() - Method in class weka.classifiers.misc.InputMappedClassifier
Get whether to ignore case when matching attribute names and nominal values.
getIgnoreClass() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
Gets the IgnoreClass value.
getIgnoreClass() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Gets the IgnoreClass value.
getIgnoredAttributeIndices() - Method in class weka.filters.unsupervised.attribute.AddCluster
Gets ranges of attributes to be ignored.
getIgnoredAttributeIndices() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Gets ranges of attributes to be ignored.
getIgnoredProperties() - Method in class weka.core.CheckGOE
Get the ignored properties used in checkToolTips() as comma-separated list (sorted).
getIgnoreRange() - Method in class weka.filters.unsupervised.attribute.MathExpression
Get the current range selection.
getImage() - Method in class weka.gui.beans.ImageEvent
Get the encapsulated image
getImage(String, String) - Static method in class weka.gui.ComponentHelper
returns the Image for a given directory and filename, NULL if not successful
getImage(String) - Static method in class weka.gui.ComponentHelper
returns the Image for a given filename, NULL if not successful
getImageHeight() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the image height (in pixels)
getImageIcon(String, String) - Static method in class weka.gui.ComponentHelper
returns the ImageIcon for a given filename and directory, NULL if not successful
getImageIcon(String) - Static method in class weka.gui.ComponentHelper
returns the ImageIcon for a given filename, NULL if not successful
getImagEigenvalues() - Method in class weka.core.matrix.EigenvalueDecomposition
Return the imaginary parts of the eigenvalues
getImageName() - Method in class weka.gui.beans.ImageEvent
Get the name of the image
getImages() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the completed images
getImages() - Method in class weka.knowledgeflow.steps.ImageViewer
Get a map of named images that this step has collected
getImageWidth() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the image width (in pixels)
getImportance() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the importance property.
getImportance() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the importance property.
getImpurityDecreases() - Method in class weka.classifiers.trees.RandomTree
Get the array of impurity decrease/gain sums
getIncludeClass() - Method in class weka.core.InstanceComparator
Returns whether the class is included in the comparison.
getIncludeClass() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Gets whether the class is included in the cleaning process or always skipped.
getIncludeRelationName() - Method in class weka.gui.beans.SerializedModelSaver
Get whether the relation name of the training data used to create the model is to be included in the filename of the serialized model.
getIncludeRelationNameInFilename() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Get whether to include the relation name as part of the filename
getIncomingConnectedStepsOfConnectionType(String) - Method in interface weka.knowledgeflow.StepManager
Get a list of steps that are the source of incoming connections of the given type
getIncomingConnectedStepsOfConnectionType(String) - Method in class weka.knowledgeflow.StepManagerImpl
Get a list of steps providing incoming connections of the specified type
getIncomingConnectedStepWithName(String) - Method in interface weka.knowledgeflow.StepManager
Get the named step that is connected with an incoming connection.
getIncomingConnectedStepWithName(String) - Method in class weka.knowledgeflow.StepManagerImpl
Get a named step connected to this step with an incoming connection
getIncomingConnections() - Method in interface weka.knowledgeflow.StepManager
Get a Map of all incoming connections.
getIncomingConnections() - Method in class weka.knowledgeflow.StepManagerImpl
Get the man of upstream (incoming connections) connected steps
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.AlterRelationName
Get the list of acceptable incoming connection types
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Appender
Get the incoming connection types accepted by this step at this time
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ASEvaluator
Get incoming connections accepted given the current state of the step
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
Get a list of incoming connections that this step accepts.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Associator
Get a list of incoming connection types that this step can accept at this time
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
Get a list of incoming connection types that this step can accept at this time
getIncomingConnectionTypes() - Method in interface weka.knowledgeflow.steps.BaseStepExtender
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Block
Get a list of incoming connection types that this step can accept at this time
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassAssigner
Get the incoming connections that this step can accept at this time
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Classifier
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassValuePicker
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Clusterer
Get a list of connection types that could be made to this Step at this point in time
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.CostBenefitAnalysis
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataGenerator
Get acceptable incoming connection types.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataGrid
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataVisualizer
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Dummy
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get the acceptable incoming connection types at this point in time
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Filter
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.FlowByExpression
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.GetDataFromResult
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.GraphViewer
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ImageSaver
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ImageViewer
Get a list of acceptable incoming connections - only StepManager.CON_IMAGE in this case
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Job
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Join
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Loader
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Note
Get incoming connections accepted - none in the case of a note :-)
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.PredictionAppender
Get the incoming connection types that this step accepts
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Saver
Get a list of incoming connection types that this step can receive at this time
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SendToPerspective
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SetPropertiesFromEnvironment
Get a list of acceptable incoming connection types
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SetVariables
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Sorter
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in interface weka.knowledgeflow.steps.Step
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.StripChart
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SubstringLabeler
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SubstringReplacer
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TestSetMaker
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TextSaver
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TextViewer
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TrainingSetMaker
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Get a list of incoming connection types that this step can accept.
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.WriteDataToResult
 
getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.WriteWekaLog
Get a list of acceptable incoming connection types (at this point in time)
getIncomingStructureForConnectionType(String) - Method in interface weka.knowledgeflow.StepManager
Attempt to retrieve the structure (as a header-only set of instances) for the named incoming connection type.
getIncomingStructureForConnectionType(String, Environment) - Method in interface weka.knowledgeflow.StepManager
Attempt to retrieve the structure (as a header-only set of instances) for the named incoming connection type.
getIncomingStructureForConnectionType(String) - Method in class weka.knowledgeflow.StepManagerImpl
Attempt to get the incoming structure (as a header-only set of instances) for the named incoming connection type.
getIncomingStructureForConnectionType(String, Environment) - Method in class weka.knowledgeflow.StepManagerImpl
Attempt to retrieve the structure (as a header-only set of instances) for the named incoming connection type.
getIncomingStructureFromStep(StepManager, String) - Method in interface weka.knowledgeflow.StepManager
Attempt to get the incoming structure (as a header-only set of instances) from the given managed step for the given connection type.
getIncomingStructureFromStep(StepManager, String) - Method in class weka.knowledgeflow.StepManagerImpl
Attempt to get the incoming structure (as a header-only set of instances) from the given managed step for the given connection type.
getIncompatibleDependencies(List<Package>) - Method in class weka.core.packageManagement.DefaultPackage
Gets those packages from the supplied list that this package depends on and are currently incompatible with this package.
getIncompatibleDependencies() - Method in class weka.core.packageManagement.DefaultPackage
Gets a list of installed packages that this package depends on that are currently incompatible with this package.
getIncompatibleDependencies() - Method in class weka.core.packageManagement.Package
Gets a list of installed packages that this package depends on that are currently incompatible with this package.
getIncompatibleDependencies(List<Package>) - Method in class weka.core.packageManagement.Package
Gets those packages from the supplied list that this package depends on and are currently incompatible with this package.
getIncrementalLoggingFrequency() - Method in class weka.knowledgeflow.steps.WriteWekaLog
Get how frequently to write an incremental data point to the log
getIncrementalSaveSchedule() - Method in class weka.gui.beans.SerializedModelSaver
Get how often to save incremental models.
getIncrementalSaveSchedule() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Get how frequently to save an incremental model
getIndentationSize() - Method in class weka.gui.scripting.SyntaxDocument
Returns the number of blanks used for indentation.
getIndex() - Method in class weka.core.pmml.jaxbbindings.TimeValue
Gets the value of the index property.
getIndex() - Method in class weka.core.PropertyPath.PathElement
returns the index of the property, -1 if the property is not an index-based one
getIndex() - Method in class weka.core.SingleIndex
Gets the selected index.
getIndex() - Method in class weka.gui.SortedTableModel.SortContainer
Returns the original index of the item.
getIndexedPrimaryResult(int) - Method in class weka.knowledgeflow.steps.PairedDataHelper
Retrieve the primary result corresponding to a given set number
getIndexedValueFromNamedStore(String, Integer) - Method in class weka.knowledgeflow.steps.PairedDataHelper
Gets an indexed value from a named store
getIndices() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
Gets the value of the indices property.
getIndices() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
Gets the value of the indices property.
getInfoData() - Method in interface weka.gui.visualize.InstanceInfo
Returns the underlying data.
getInfoData() - Method in class weka.gui.visualize.InstanceInfoFrame
Returns the underlying data.
getInfoStep(Class) - Method in interface weka.knowledgeflow.StepManager
Returns a reference to the step being managed if it has one or more outgoing CON_INFO connections and the managed step is of the supplied class
getInfoStep() - Method in interface weka.knowledgeflow.StepManager
Returns a reference to the step being managed if it has one or more outgoing CON_INFO connections.
getInfoStep(Class) - Method in class weka.knowledgeflow.StepManagerImpl
Returns a reference to the step being managed if it has one or more outgoing CON_INFO connections and the managed step is of the supplied class
getInfoStep() - Method in class weka.knowledgeflow.StepManagerImpl
Returns a reference to the step being managed if it has one or more outgoing CON_INFO connections.
getInfoText() - Method in interface weka.gui.visualize.InstanceInfo
Returns the currently displayed info text.
getInfoText() - Method in class weka.gui.visualize.InstanceInfoFrame
Returns the currently displayed info text.
getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
Gets whether to init as naive bayes
getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.global.K2
Gets whether to init as naive bayes
getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
Gets whether to init as naive bayes
getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.local.K2
Gets whether to init as naive bayes
getInitFile() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Gets the file to initialize the filter with, can be null.
getInitFileClassIndex() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Gets the class index of the file to initialize the filter with.
getInitGenericObjectEditorFilter() - Static method in class weka.gui.explorer.ExplorerDefaults
returns if the GOEs in the Explorer will be initialized based on the data that is loaded into the Explorer.
getInitial() - Method in class weka.core.Memory
returns the initial size of the JVM heap, obtains a fresh MemoryUsage object to do so.
getInitialCount() - Method in class weka.classifiers.trees.REPTree
Get the value of InitialCount.
getInitialDatasetsDirectory() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the initial directory for the datasets (if empty, it returns the user's home directory).
getInitialDirectory() - Static method in class weka.gui.explorer.ExplorerDefaults
Returns the initial directory for the file chooser used for opening datasets.
getInitializationMethod() - Method in class weka.clusterers.SimpleKMeans
Get the initialization method to use
getInitializer() - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
Returns an object to initialize the declared variables
getInitialScore() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the initialScore property.
getInlineTable() - Method in class weka.core.pmml.jaxbbindings.ChildParent
Gets the value of the inlineTable property.
getInlineTable() - Method in class weka.core.pmml.jaxbbindings.MapValues
Gets the value of the inlineTable property.
getInlineTable() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Gets the value of the inlineTable property.
getInlineTable() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Gets the value of the inlineTable property.
getInputFilename() - Method in class weka.gui.GenericPropertiesCreator
returns the name of the input file
getInputFormat() - Method in class weka.core.DictionaryBuilder
Gets the currently set input format
getInputNums() - Method in class weka.classifiers.functions.neural.NeuralConnection
Use this to get easy access to the input numbers.
getInputOrder() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the input order.
getInputProperties() - Method in class weka.gui.GenericPropertiesCreator
returns the input properties object (template containing the packages)
getInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
Use this to get easy access to the inputs.
getInputs() - Method in class weka.gui.beans.MetaBean
 
getInputStream(String, String) - Static method in class weka.gui.Loader
returns an InputStream for the given dir and filename, can be NULL if it fails
getInputStream(String) - Method in class weka.gui.Loader
returns an InputStream for the given filename, can be NULL if it fails
getInputStructure() - Method in class weka.gui.beans.SubstringLabelerRules
Get the input structure
getInstalledLookAndFeels() - Static method in class weka.gui.LookAndFeel
returns an array with the classnames of all the installed LnFs
getInstalledPackageInfo(String) - Method in class weka.core.packageManagement.DefaultPackageManager
Get package information on the named installed package.
getInstalledPackageInfo(String) - Method in class weka.core.packageManagement.PackageManager
Get package information on the named installed package.
getInstalledPackageInfo(String) - Static method in class weka.core.WekaPackageManager
Get meta data for an installed package
getInstalledPackages() - Method in class weka.core.packageManagement.DefaultPackageManager
Get a list of installed packages.
getInstalledPackages() - Method in class weka.core.packageManagement.PackageManager
Get a list of installed packages.
getInstalledPackages() - Static method in class weka.core.WekaPackageManager
Get a list of installed packages
getInstance() - Method in class weka.gui.beans.InstanceEvent
Get the instance
getInstanceField() - Method in class weka.core.pmml.jaxbbindings.InstanceFields
Gets the value of the instanceField property.
getInstanceFields() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Gets the value of the instanceFields property.
getInstanceIdVariable() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the instanceIdVariable property.
getInstanceRange() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Gets the number of instances forward to translate values between.
getInstances() - Method in class weka.core.converters.AbstractSaver
Gets instances that should be stored.
getInstances() - Method in interface weka.core.DistanceFunction
returns the instances currently set.
getInstances() - Method in class weka.core.FilteredDistance
returns the instances currently set.
getInstances() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
returns the instances currently set.
getInstances() - Method in class weka.core.NormalizableDistance
returns the instances currently set.
getInstances() - Method in class weka.core.xml.XMLInstances
returns the current instances, either the ones that were set or the ones that were generated from the XML structure.
getInstances() - Method in class weka.experiment.PairedTTester
Get the value of Instances.
getInstances() - Method in interface weka.experiment.Tester
Get the value of Instances.
getInstances() - Method in class weka.gui.arffviewer.ArffPanel
returns the instances of the panel, if none then NULL
getInstances() - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns the data
getInstances() - Method in class weka.gui.arffviewer.ArffTableModel
returns the data
getInstances() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Get the training instances
getInstances() - Method in class weka.gui.explorer.AbstractPlotInstances
Returns the training data.
getInstances() - Method in class weka.gui.explorer.ClassifierPanel
Get the current set of instances
getInstances() - Method in class weka.gui.explorer.DataGeneratorPanel
returns the generated instances, null if the process was cancelled.
getInstances() - Method in class weka.gui.explorer.PreprocessPanel
Gets the working set of instances.
getInstances() - Method in class weka.gui.SetInstancesPanel
Gets the set of instances currently held by the panel.
getInstances() - Method in class weka.gui.treevisualizer.Node
This will return the Instances object related to this node.
getInstances() - Method in class weka.gui.ViewerDialog
returns the currently displayed instances
getInstances() - Method in class weka.gui.visualize.VisualizePanel
Get the master plot's instances
getInstances() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
Get the data to output from this step
getInstances1() - Method in class weka.gui.visualize.VisualizePanelEvent
 
getInstances2() - Method in class weka.gui.visualize.VisualizePanelEvent
 
getInstancesFromClass(Instances, int, int, double, Instances) - Static method in class weka.estimators.EstimatorUtils
Returns a dataset that contains all instances of a certain class value.
getInstancesFromClass(Instances, int, double) - Static method in class weka.estimators.EstimatorUtils
Returns a dataset that contains of all instances of a certain class value.
getInstancesFromValue(Instances, int, double) - Static method in class weka.estimators.EstimatorUtils
Returns a dataset that contains of all instances of a certain value for the given attribute.
getInstancesIndices() - Method in class weka.filters.unsupervised.instance.RemoveRange
Gets ranges of instances selected.
getInstancesNoClass() - Method in class weka.associations.Apriori
Gets the instances without the class atrribute.
getInstancesNoClass() - Method in interface weka.associations.CARuleMiner
Gets the instances without the class attribute
getInstancesOnlyClass() - Method in class weka.associations.Apriori
Gets only the class attribute of the instances.
getInstancesOnlyClass() - Method in interface weka.associations.CARuleMiner
Gets the class attribute and its values for all instances
getInstancesValueAt(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns the double value of the underlying Instances object at the given position, -1 if out of bounds
getInstancesValueAt(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
returns the double value of the underlying Instances object at the given position, -1 if out of bounds
getINTEntries() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
Gets the value of the intEntries property.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Get a map of popup viewers that can be used with this step
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.BaseStep
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.CostBenefitAnalysis
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.DataVisualizer
 
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.GraphViewer
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.ImageViewer
Gets a list of classes of viewers that can be popped up in the GUI Knowledge Flow from this step, given that we have received and stored some image data.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.ScatterPlotMatrix
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewers() - Method in interface weka.knowledgeflow.steps.Step
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.StripChart
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewers() - Method in class weka.knowledgeflow.steps.TextViewer
When running in a graphical execution environment a step can make one or more popup Viewer components available.
getInteractiveViewersImpls() - Method in class weka.knowledgeflow.steps.BaseStep
An alternative to getStepInteractiveViewers that returns a Map of instantiated StepInteractiveViewer objects.
getInteractiveViewersImpls() - Method in interface weka.knowledgeflow.steps.Step
An alternative to getStepInteractiveViewers that returns a Map of instantiated StepInteractiveViewer objects.
getIntercept() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns the intercept of the function.
getIntercept() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
Returns the intercept of the function.
getIntercept() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
Gets the value of the intercept property.
getInternalCacheSize() - Method in class weka.classifiers.functions.supportVector.StringKernel
Gets the size of the internal cache
getInterpolationMethod() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Gets the value of the interpolationMethod property.
getInterpreter() - Method in class weka.core.scripting.Jython
returns the currently used Python Interpreter
getInterQuartileRange() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Gets the value of the interQuartileRange property.
getInterval() - Method in class weka.core.pmml.jaxbbindings.ContStats
Gets the value of the interval property.
getInterval() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the interval property.
getInterval() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
Gets the value of the interval property.
getInterval() - Method in class weka.core.pmml.jaxbbindings.EventValues
Gets the value of the interval property.
getInvalidFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
Gets the value of the invalidFreq property.
getInvalidValueTreatment() - Method in class weka.core.pmml.jaxbbindings.Apply
Gets the value of the invalidValueTreatment property.
getInvalidValueTreatment() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the invalidValueTreatment property.
getInvert() - Method in class weka.core.InstanceComparator
Returns whether the matching sense of the attribute range is inverted.
getInvert() - Method in class weka.core.Range
Gets whether the range sense is inverted, i.e.
getInvert() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Get whether selection is inverted.
getInvertSelection() - Method in class weka.core.converters.DictionarySaver
Gets whether the supplied columns are to be processed or skipped.
getInvertSelection() - Method in class weka.core.DictionaryBuilder
Gets whether the supplied columns are to be processed or skipped.
getInvertSelection() - Method in interface weka.core.DistanceFunction
Gets whether the matching sense of attribute indices is inverted or not.
getInvertSelection() - Method in class weka.core.FilteredDistance
Gets whether the matching sense of attribute indices is inverted or not.
getInvertSelection() - Method in class weka.core.NormalizableDistance
Gets whether the matching sense of attribute indices is inverted or not.
getInvertSelection() - Method in class weka.filters.supervised.attribute.Discretize
Gets whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Get whether the supplied attributes are to be acted on or all other attributes.
getInvertSelection() - Method in class weka.filters.supervised.instance.Resample
Gets whether selection is inverted (only if instances are drawn WIHTOUT replacement).
getInvertSelection() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Gets if selection is to be inverted.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Copy
Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Gets whether the supplied columns are to be worked on or the others.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Discretize
Gets whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Gets whether the supplied columns are to be processed or skipped.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.MathExpression
Get whether the supplied columns are to be select or unselect
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Get whether the supplied attributes are to be acted on or all other attributes.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Gets whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Gets whether the selection of the columns is inverted
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Gets whether the supplied columns are to be worked on or the others.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Gets whether the supplied columns are to be worked on or the others.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Gets whether the supplied columns are to be worked on or the others.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Get whether the supplied columns are to be transformed or not
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Get whether to invert the selection - i.e.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Remove
Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RemoveByName
Get whether the supplied columns are to be removed or kept.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RemoveType
Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Gets whether to invert the selection of the attributes.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Gets whether the supplied columns are to be worked on or the others.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.SortLabels
Gets whether the supplied columns are to be processed or skipped.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets whether the supplied columns are to be processed or skipped.
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Gets if selection is to be inverted.
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Gets if selection is to be inverted.
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveRange
Gets if selection is to be inverted.
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.instance.Resample
Gets whether selection is inverted (only if instances are drawn WIHTOUT replacement).
getIRClassValue() - Method in class weka.attributeSelection.ClassifierAttributeEval
Get the class value (label or index) to use with IR metric evaluation of subsets.
getIRClassValue() - Method in class weka.attributeSelection.ClassifierSubsetEval
Get the class value (label or index) to use with IR metric evaluation of subsets.
getIRClassValue() - Method in class weka.attributeSelection.WrapperSubsetEval
Get the class value (label or index) to use with IR metric evaluation of subsets.
getIsCenterField() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Gets the value of the isCenterField property.
getIsCyclic() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the isCyclic property.
getIsMultiValued() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the isMultiValued property.
getIsRecursive() - Method in class weka.core.pmml.jaxbbindings.ChildParent
Gets the value of the isRecursive property.
getItemRef() - Method in class weka.core.pmml.jaxbbindings.ItemRef
Gets the value of the itemRef property.
getItemRef() - Method in class weka.core.pmml.jaxbbindings.Itemset
Gets the value of the itemRef property.
getItems() - Method in class weka.associations.ItemSet
Get the item array
getItemValueAsString() - Method in class weka.associations.Item
Get this item's value as a String.
getItemValueAsString() - Method in class weka.associations.NominalItem
Get this item's value as a String.
getItemValueAsString() - Method in class weka.associations.NumericItem
Get this item's value as a String.
getIterativeClassifier() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the classifier used as the base learner.
getJaccard() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the jaccard property.
getJavaInitializationString() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
getJavaInitializationString() - Method in class weka.gui.ColorEditor
Don't really need this
getJavaInitializationString() - Method in class weka.gui.CostMatrixEditor
Returns the Java code that generates an object the same as the one being edited.
getJavaInitializationString() - Method in class weka.gui.EnvironmentField
 
getJavaInitializationString() - Method in class weka.gui.FileEditor
Returns a representation of the current property value as java source.
getJavaInitializationString() - Method in class weka.gui.GenericArrayEditor
Supposedly returns an initialization string to create a classifier identical to the current one, including it's state, but this doesn't appear possible given that the initialization string isn't supposed to contain multiple statements.
getJavaInitializationString() - Method in class weka.gui.GenericObjectEditor
Supposedly returns an initialization string to create a Object identical to the current one, including it's state, but this doesn't appear possible given that the initialization string isn't supposed to contain multiple statements.
getJavaInitializationString() - Method in class weka.gui.PasswordField
 
getJavaInitializationString() - Method in class weka.gui.RangeEditor
Returns a description of the property value as java source.
getJavaInitializationString() - Method in class weka.gui.SelectedTagEditor
Returns a description of the property value as java source.
getJavaInitializationString() - Method in class weka.gui.SimpleDateFormatEditor
Returns the Java code that generates an object the same as the one being edited.
getJTable() - Method in class weka.gui.JTableHelper
returns the JTable
getKeepDictionarySorted() - Method in class weka.core.converters.DictionarySaver
Get whether to keep the dictionary sorted alphabetically or not
getKernel() - Method in class weka.classifiers.functions.GaussianProcesses
Gets the kernel to use.
getKernel() - Method in class weka.classifiers.functions.SMO.BinarySMO
Returns the kernel to use
getKernel() - Method in class weka.classifiers.functions.SMO
Returns the kernel to use
getKernel() - Method in class weka.classifiers.functions.SMOreg
Returns the kernel to use
getKernel() - Method in class weka.classifiers.functions.supportVector.CheckKernel
Get the kernel being tested
getKernel() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Gets the kernel to use.
getKernelBandwidth() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
Get the kernel bandwidth
getKernelBandwidth() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the kernel bandwidth
getKernelEvaluations() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
returns the number of kernel evaluations
getKernelFactorExpression() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Gets the expression for the kernel.
getKernelMatrixFile() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Gets the file containing the kernel matrix.
getKey() - Method in class weka.core.Settings.SettingKey
Get the key of this setting
getKey() - Method in class weka.experiment.ClassifierSplitEvaluator
Gets the key describing the current SplitEvaluator.
getKey() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Gets the key describing the current SplitEvaluator.
getKey() - Method in class weka.experiment.RegressionSplitEvaluator
Gets the key describing the current SplitEvaluator.
getKey() - Method in interface weka.experiment.SplitEvaluator
Gets the key describing the current SplitEvaluator.
getKeyFieldName() - Method in class weka.experiment.AveragingResultProducer
Get the value of KeyFieldName.
getKeyNames() - Method in class weka.experiment.AveragingResultProducer
Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.ClassifierSplitEvaluator
Gets the names of each of the key columns produced for a single run.
getKeyNames() - Method in class weka.experiment.CrossValidationResultProducer
Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.DatabaseResultProducer
Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Gets the names of each of the key columns produced for a single run.
getKeyNames() - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.LearningRateResultProducer
Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.RandomSplitResultProducer
Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.RegressionSplitEvaluator
Gets the names of each of the key columns produced for a single run.
getKeyNames() - Method in interface weka.experiment.ResultProducer
Gets the names of each of the key columns produced for a single run.
getKeyNames() - Method in interface weka.experiment.SplitEvaluator
Gets the names of each of the key columns produced for a single run.
getKeys() - Method in class weka.core.converters.DatabaseLoader
Gets the key columns' name
getKeySpec() - Method in class weka.gui.beans.Join
Get the key specification (in internal format - k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
getKeySpec() - Method in class weka.knowledgeflow.steps.Join
Get the key specification (in internal format - k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
getKeyTypes() - Method in class weka.experiment.AveragingResultProducer
Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.ClassifierSplitEvaluator
Gets the data types of each of the key columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.CrossValidationResultProducer
Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.DatabaseResultProducer
Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Gets the data types of each of the key columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.LearningRateResultProducer
Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.RandomSplitResultProducer
Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.RegressionSplitEvaluator
Gets the data types of each of the key columns produced for a single run.
getKeyTypes() - Method in interface weka.experiment.ResultProducer
Gets the data types of each of the key columns produced for a single run.
getKeyTypes() - Method in interface weka.experiment.SplitEvaluator
Gets the data types of each of the key columns produced for a single run.
getKeywordFormatting(String) - Method in class weka.gui.scripting.SyntaxDocument
Gets the formatting for a keyword.
getKeywords() - Method in class weka.experiment.DatabaseUtils
Returns the currently stored keywords (as comma-separated list).
getKeywordsMaskChar() - Method in class weka.experiment.DatabaseUtils
Returns the currently set mask character.
getKind() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the kind property.
getKind() - Method in class weka.core.pmml.jaxbbindings.Matrix
Gets the value of the kind property.
getKNN() - Method in class weka.classifiers.lazy.IBk
Gets the number of neighbours the learner will use.
getKNN() - Method in class weka.classifiers.lazy.LWL
Gets the number of neighbours used for kernel bandwidth setting.
getKNNInput() - Method in class weka.core.pmml.jaxbbindings.KNNInputs
Gets the value of the knnInput property.
getKohonenMap() - Method in class weka.core.pmml.jaxbbindings.Cluster
Gets the value of the kohonenMap property.
getKValue() - Method in class weka.classifiers.trees.RandomTree
Get the value of K.
getKWBias() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the calculated bias squared according to the Kohavi and Wolpert definition
getKWSigma() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the calculated sigma according to the Kohavi and Wolpert definition
getKWVariance() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the calculated variance according to the Kohavi and Wolpert definition
getL() - Method in class weka.core.matrix.CholeskyDecomposition
Return triangular factor.
getL() - Method in class weka.core.Matrix
Deprecated.
Returns the L part of the matrix.
getL() - Method in class weka.core.matrix.LUDecomposition
Return lower triangular factor
getLabel() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
Gets the value of the label property.
getLabel() - Method in class weka.core.pmml.jaxbbindings.Parameter
Gets the value of the label property.
getLabel() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Get the label for the new merged class.
getLabel() - Method in class weka.gui.beans.BatchClassifierEvent
Get the label for this event
getLabel() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Get the label to assign if this rule matches, or empty string if binary flag attribute is being created.
getLabel() - Method in class weka.gui.treevisualizer.Edge
Get the value of label.
getLabel() - Method in class weka.gui.treevisualizer.Node
Get the value of label.
getLabels() - Method in class weka.filters.unsupervised.attribute.AddValues
Get the comma-separated list of labels that are added.
getLambda() - Method in class weka.classifiers.functions.SGD
Get the current value of lambda
getLambda() - Method in class weka.classifiers.functions.SGDText
Get the current value of lambda
getLambda() - Method in class weka.classifiers.functions.supportVector.StringKernel
Gets the lambda constant used in the string kernel
getLatestCompatibleVersion(String) - Static method in class weka.core.WekaPackageManager
Get the latest version of the named package that is compatible with the base version of Weka being used.
getLaunchCommand() - Method in interface weka.gui.explorer.ClassifierPanelLaunchHandlerPlugin
Get the name of the launch command (to appear as the button text or in the popup menu)
getLaunchCommand() - Method in interface weka.gui.explorer.ClustererPanelLaunchHandlerPlugin
Get the name of the launch command (to appear as the button text or in the popup menu)
getLaunchStartPointsSequentially() - Method in class weka.knowledgeflow.FlowRunner
Get whether to launch start points sequentially
getLayoutAt(int) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the flow layout at the supplied index
getLeafPredictionStrategy() - Method in class weka.classifiers.trees.HoeffdingTree
Get the leaf prediction strategy to use (majority class, naive Bayes or naive Bayes adaptive)
getLearningRate() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getLearningRate() - Method in class weka.classifiers.functions.SGD
Get the learning rate.
getLearningRate() - Method in class weka.classifiers.functions.SGDText
Get the learning rate.
getLeaveOneAttributeOut() - Method in class weka.attributeSelection.ClassifierAttributeEval
Get whether to evaluate the merit of an attribute based on the impact of leaving it out from the full set instead of considering its worth in isolation
getLeftMargin() - Method in class weka.core.pmml.jaxbbindings.Interval
Gets the value of the leftMargin property.
getLegendText() - Method in class weka.gui.beans.ChartEvent
Get the legend text vector
getLength() - Method in class weka.core.pmml.jaxbbindings.TextDocument
Gets the value of the length property.
getLength() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
Gets the value of the length property.
getLengthLimit() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the lengthLimit property.
getLevel() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Gets the value of the level property.
getLevel() - Method in class weka.gui.HierarchyPropertyParser
Get the level of current node.
getLeverage() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the leverage property.
getLHSAttName() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Get the lhs attribute name
getLift() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the lift property.
getLift() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Gets the value of the lift property.
getLiftData() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the liftData property.
getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
Gets the value of the liftGraph property.
getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
Gets the value of the liftGraph property.
getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
Gets the value of the liftGraph property.
getLikelihoodThreshold() - Method in class weka.classifiers.meta.LogitBoost
Get the value of Precision.
getLine(int) - Method in class weka.gui.treevisualizer.Edge
Returns line number n
getLine(int) - Method in class weka.gui.treevisualizer.Node
Returns the text String for the specfied line.
getLinearNorm() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
Gets the value of the linearNorm property.
getLineNo() - Method in class weka.core.converters.ArffLoader.ArffReader
returns the current line number
getLinkAt(int) - Method in class weka.attributeSelection.BestFirst.LinkedList2
returns the element (Link) at a specific index from the list.
getLinkFunction() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the linkFunction property.
getLinkParameter() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the linkParameter property.
getLinkType() - Method in class weka.clusterers.HierarchicalClusterer
 
getList() - Method in class weka.gui.ResultHistoryPanel
Gets the JList used by the results list
getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.CheckBoxList.CheckBoxListRenderer
Return a component that has been configured to display the specified value.
getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer
Return a component that has been configured to display the specified value.
getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.sql.InfoPanelCellRenderer
Return a component that has been configured to display the specified value.
getLNorm() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Get the L Norm used.
getLNorm() - Method in class weka.classifiers.functions.SGDText
Get the L Norm used.
getLoadClassifierFileName() - Method in class weka.gui.beans.Classifier
Get the name of the classifier to load at execution time.
getLoadClassifierFileName() - Method in class weka.knowledgeflow.steps.Classifier
Get the name of the classifier to load at execution time.
getLoadClustererFileName() - Method in class weka.knowledgeflow.steps.Clusterer
Get the name of the clusterer to load at execution time.
getLoadedPerspectives() - Method in class weka.gui.PerspectiveManager
Get a list of all loaded perspectives.
getLoader() - Method in class weka.core.converters.ConverterUtils.DataSource
returns the determined loader, null if the DataSource was initialized with data alone and not a file/URL.
getLoader() - Method in class weka.gui.beans.Loader
Get the loader
getLoader() - Method in class weka.gui.ConverterFileChooser
returns the loader that was chosen by the user, can be null in case the user aborted the dialog or the save dialog was shown.
getLoader() - Method in class weka.gui.SetInstancesPanel
Gets the currently used Loader.
getLoader() - Method in class weka.knowledgeflow.steps.Loader
Convenience method - calls getWrappedAlgorithm()
getLoaderForClass(String) - Method in class weka.core.WekaPackageClassLoaderManager
Attempts to locate a classloader for the named class.
getLoaderForExtension(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the loader to use for this kind of extension, returns null if none can be found.
getLoaderForFile(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the loader to use for this kind of file, returns null if none can be found.
getLoaderForFile(File) - Static method in class weka.core.converters.ConverterUtils
tries to determine the loader to use for this kind of file, returns null if none can be found.
getLoadersForExtension(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the loader to use for this kind of extension, returns null if none can be found.
getLoadersForFile(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the loaders to use for this kind of file.
getLoadersForFile(File) - Static method in class weka.core.converters.ConverterUtils
tries to determine the loaders to use for this kind of file.
getLocallyPredictive() - Method in class weka.attributeSelection.CfsSubsetEval
Return true if including locally predictive attributes
getLocalModel() - Method in class weka.classifiers.trees.j48.ClassifierTree
 
getLocalTermWeights() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
Gets the value of the localTermWeights property.
getLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the localTransformations property.
getLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the localTransformations property.
getLocator(int) - Method in class weka.core.AttributeLocator
Returns the AttributeLocator at the given index.
getLocatorIndices() - Method in class weka.core.AttributeLocator
Returns the indices of the AttributeLocator objects.
getLog() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Get the logger.
getLog() - Method in class weka.core.Debug.Random
the currently used log, if null then stdout is used for outputting the debugging information
getLog() - Method in interface weka.core.LogHandler
Get the log in use
getLog() - Method in interface weka.core.pmml.PMMLModel
Get the logger.
getLog() - Method in class weka.gui.explorer.ClassifierPanel
Get the log
getLog() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Get the log in use
getLog() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Get the log in use
getLog() - Method in class weka.knowledgeflow.LogManager
Get the wrapped log
getLog() - Method in interface weka.knowledgeflow.StepManager
Get the log
getLog() - Method in class weka.knowledgeflow.StepManagerImpl
Get the log to use
getLogger() - Method in interface weka.knowledgeflow.FlowExecutor
Get the log in use
getLogger() - Method in class weka.knowledgeflow.FlowRunner
Get the log to use
getLoggingLevel() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Get the logging level in use
getLoggingLevel() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Get the logging level in use
getLoggingLevel() - Method in interface weka.knowledgeflow.FlowExecutor
Get the logging level to log at
getLoggingLevel() - Method in class weka.knowledgeflow.FlowRunner
Get the logging level to use
getLoggingLevel() - Method in class weka.knowledgeflow.LogManager
Get the logging level in use
getLoggingLevel() - Method in interface weka.knowledgeflow.StepManager
Get the currently set logging level
getLoggingLevel() - Method in class weka.knowledgeflow.StepManagerImpl
Get the logging level in use
getLoggingLevel() - Method in class weka.knowledgeflow.steps.WriteWekaLog
Get the logging level to use
getLogLikelihood() - Method in class weka.clusterers.ClusterEvaluation
Return the log likelihood corresponding to the most recent set of instances clustered.
getLogLossDecoding() - Method in class weka.classifiers.meta.MultiClassClassifier
Whether log loss decoding is used for random or exhaustive codes.
getLogPanel(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getLogPanel() - Method in class weka.gui.knowledgeflow.VisibleLayout
Get the log panel in use by this layout
getLookAheadIterations() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the value of LookAheadIterations.
getLookupCacheSize() - Method in class weka.attributeSelection.BestFirst
Return the maximum size of the evaluated subset cache (expressed as a multiplier for the number of attributes in a data set.
getLossFunction() - Method in class weka.classifiers.functions.SGD
Get the current loss function.
getLossFunction() - Method in class weka.classifiers.functions.SGDText
Get the current loss function.
getLower() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
Gets the value of the lower property.
getLower() - Method in class weka.gui.experiment.RunNumberPanel
Gets the current lower run number.
getLowerBound() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
Get the lower bound of this range
getLowerBoundMinSupport() - Method in class weka.associations.Apriori
Get the value of lowerBoundMinSupport.
getLowerBoundMinSupport() - Method in class weka.associations.FPGrowth
Get the value of lowerBoundMinSupport.
getLowercaseTokens() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Get whether to convert all tokens to lowercase
getLowercaseTokens() - Method in class weka.classifiers.functions.SGDText
Get whether to convert all tokens to lowercase
getLowerCaseTokens() - Method in class weka.core.converters.DictionarySaver
Gets whether if the tokens are to be downcased or not.
getLowerCaseTokens() - Method in class weka.core.DictionaryBuilder
Gets whether if the tokens are to be downcased or not.
getLowerCaseTokens() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Gets whether if the tokens are to be downcased or not.
getLowerCaseTokens() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets whether if the tokens are to be downcased or not.
getLowerComparison() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
Get the lower comparison
getLowerNumericBound() - Method in class weka.core.Attribute
Returns the lower bound of a numeric attribute.
getLowerSize() - Method in class weka.experiment.LearningRateResultProducer
Get the value of LowerSize.
getLowValue() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the lowValue property.
getM5RootNode() - Method in class weka.classifiers.trees.m5.M5Base
 
getM5RootNode() - Method in class weka.classifiers.trees.m5.Rule
 
getMacro(String) - Method in class weka.core.expressionlanguage.common.IfElseMacro
Tries to fetch the macro
getMacro(String) - Method in class weka.core.expressionlanguage.common.JavaMacro
 
getMacro(String) - Method in class weka.core.expressionlanguage.common.MacroDeclarationsCompositor
Tries to fetch a macro from one of the combined declarations.
getMacro(String) - Method in class weka.core.expressionlanguage.common.MathFunctions
Tries to fetch the macro
getMacro(String) - Method in class weka.core.expressionlanguage.common.NoMacros
Tries to fetch a macro.
getMacro(String) - Method in interface weka.core.expressionlanguage.core.MacroDeclarations
Tries to fetch the macro
getMacro(String) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
Tries to fetch a macro
getMainApplication() - Method in class weka.gui.AbstractPerspective
Get the main application that this perspective belongs to
getMainApplication() - Method in interface weka.gui.Perspective
Get the main application that this perspective belongs to
getMainApplication() - Method in class weka.gui.SimpleCLIPanel
 
getMainKFPerspective() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Get the main knowledge flow perspective.
getMainKFPerspective() - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
Get the main knowledge flow perspective.
getMainPanel() - Method in class weka.gui.arffviewer.ArffViewer
returns the main panel
getMainPerspective() - Method in class weka.gui.beans.KnowledgeFlowApp
Gets the main knowledge flow perspective
getMainPerspective() - Method in interface weka.gui.GUIApplication
Get the main Perspective of this application - i.e.
getMainPerspective() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
Get the main perspective of this application
getMainPerspective() - Method in class weka.gui.PerspectiveManager
Get the main application perspective.
getMainPerspective() - Method in class weka.gui.WorkbenchApp
Get the main perspective of this application.
getMainToolBar() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the main toolbar
getMakeBinary() - Method in class weka.filters.supervised.attribute.Discretize
Gets whether binary attributes should be made for discretized ones.
getMakeBinary() - Method in class weka.filters.unsupervised.attribute.Discretize
Gets whether binary attributes should be made for discretized ones.
getMakeResourceIntensive() - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
Get whether downstream steps are to be made resource intensive
getManagedStep() - Method in interface weka.knowledgeflow.StepManager
Get the actual step managed by this step manager
getManagedStep() - Method in class weka.knowledgeflow.StepManagerImpl
Get the step managed by this manager
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.Apply
Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.Discretize
Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.FieldRef
Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.MapValues
Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Gets the value of the mapMissingTo property.
getMappedClassIndex() - Method in class weka.classifiers.misc.InputMappedClassifier
 
getMappedValue() - Method in class weka.core.pmml.jaxbbindings.Item
Gets the value of the mappedValue property.
getMapValues() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the mapValues property.
getMapValues() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the mapValues property.
getMapValues() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the mapValues property.
getMargin(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
return marginal distibution for a node
getMargin(int) - Method in class weka.classifiers.bayes.net.MarginCalculator
 
getMarkovBlanketClassifier() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
 
getMarkovBlanketClassifier() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
 
getMasterPlot() - Method in class weka.gui.CostBenefitAnalysisPanel
Get the master threshold plot data
getMasterPlot() - Method in class weka.gui.visualize.Plot2D
Get the master plot
getMatCell() - Method in class weka.core.pmml.jaxbbindings.Matrix
Gets the value of the matCell property.
getMatch() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Get the string/regex to use for matching
getMatch() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Get the string/regex to use for matching
getMatchAttributeName() - Method in class weka.gui.beans.SubstringLabeler
 
getMatchAttributeName() - Method in class weka.knowledgeflow.steps.SubstringLabeler
Get the name of the new attribute that is created to indicate the match
getMatchDetails() - Method in class weka.gui.beans.SubstringLabeler
Get the internally encoded list of match rules
getMatchDetails() - Method in class weka.knowledgeflow.steps.SubstringLabeler
Get the internally encoded list of match rules
getMatches() - Method in class weka.core.FindWithCapabilities
returns the matches from the last find call.
getMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
returns all the matches with the partial search string, files or classes.
getMatchMissingValues() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Gets whether missing values are counted as a match.
getMatchReplaceDetails() - Method in class weka.gui.beans.SubstringReplacer
Get the internally encoded list of match-replace rules
getMatchReplaceDetails() - Method in class weka.knowledgeflow.steps.SubstringReplacer
Get the internally encoded list of match-replace rules
getMatrix(int, int, int, int) - Method in class weka.core.matrix.Matrix
Get a submatrix.
getMatrix(int[], int[]) - Method in class weka.core.matrix.Matrix
Get a submatrix.
getMatrix(int, int, int[]) - Method in class weka.core.matrix.Matrix
Get a submatrix.
getMatrix(int[], int, int) - Method in class weka.core.matrix.Matrix
Get a submatrix.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.Comparisons
Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.Covariances
Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.Predictor
Gets the value of the matrix property.
getMax() - Method in class weka.core.Memory
returns the maximum size of the JVM heap, obtains a fresh MemoryUsage object to do so.
getMax() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the max property.
getMax() - Method in class weka.core.pmml.jaxbbindings.Time
Gets the value of the max property.
getMax() - Method in class weka.gui.beans.ChartEvent
Get the max y value
getMaxArray() - Method in class weka.filters.unsupervised.attribute.Normalize
Returns the calculated maximum values for the attributes in the data.
getMaxBoostingIterations() - Method in class weka.classifiers.functions.SimpleLogistic
Get the value of maxBoostingIterations.
getMaxC() - Method in class weka.gui.visualize.Plot2D
Return the current max value of the colouring attribute
getMaxCardinality() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
returns the max cardinality
getMaxCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the maximum of coords per point.
getMaxCost(int) - Method in class weka.classifiers.CostMatrix
Gets the maximum cost for a particular class value.
getMaxCost(int, Instance) - Method in class weka.classifiers.CostMatrix
Gets the maximum cost for a particular class value.
getMaxCount() - Method in class weka.filters.supervised.instance.SpreadSubsample
Gets the value for the max count
getMaxDecimalPlaces() - Method in class weka.core.converters.ArffSaver
Get the maximum number of decimal places to print
getMaxDecimalPlaces() - Method in class weka.core.converters.CSVSaver
Get the maximum number of decimal places to print
getMaxDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Get the maximum default.
getMaxDepth() - Method in class weka.classifiers.trees.RandomForest
Get the maximum depth of trh tree, 0 for unlimited.
getMaxDepth() - Method in class weka.classifiers.trees.RandomTree
Get the maximum depth of trh tree, 0 for unlimited.
getMaxDepth() - Method in class weka.classifiers.trees.REPTree
Get the value of MaxDepth.
getMaxDepth() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the depth of the built tree.
getMaximum() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the maximum property.
getMaximum() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Gets the value of the maximum property.
getMaximumAntConsSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the maximumAntConsSeparationTime property.
getMaximumAttributeNames() - Method in class weka.attributeSelection.PrincipalComponents
Gets maximum number of attributes to include in transformed attribute names.
getMaximumAttributeNames() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Gets maximum number of attributes to include in transformed attribute names.
getMaximumAttributes() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Gets maximum number of PC attributes to retain.
getMaximumItemsetSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the maximumItemsetSeparationTime property.
getMaximumNumberOfAntecedentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the maximumNumberOfAntecedentItems property.
getMaximumNumberOfClusters() - Method in class weka.clusterers.EM
Get the maximum number of clusters to consider when cross-validating
getMaximumNumberOfConsequentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the maximumNumberOfConsequentItems property.
getMaximumNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the maximumNumberOfItems property.
getMaximumTotalSequenceTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the maximumTotalSequenceTime property.
getMaximumVariancePercentageAllowed() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Gets the maximum variance attributes are allowed to have before they are deleted by the filter.
getMaxInfoGain() - Method in class weka.classifiers.rules.JRip.Antd
 
getMaxInstancesInLeaf() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the maximum number of instances allowed in a leaf.
getMaxInstInLeaf() - Method in class weka.core.neighboursearch.KDTree
Get the maximum number of instances in a leaf.
getMaxInstNum() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the upper boundary for instances per cluster.
getMaxInstNum() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Gets the upper boundary for instances per cluster.
getMaxIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
returns the maximum of internal nodes visited.
getMaxIterations() - Method in class weka.classifiers.trees.lmt.LogisticBase
Returns the maxIterations parameter.
getMaxIterations() - Method in class weka.clusterers.EM
Get the maximum number of iterations
getMaxIterations() - Method in class weka.clusterers.SimpleKMeans
gets the number of maximum iterations to be executed.
getMaxIterations() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Gets the maximum number of cleansing iterations performed
getMaxIts() - Method in class weka.classifiers.functions.Logistic
Get the value of MaxIts.
getMaxK() - Method in class weka.classifiers.functions.VotedPerceptron
Get the value of maxK.
getMaxLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the maximum number of leaves visited.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
Gets the max number of parents.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.global.K2
Gets the max number of parents.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
Gets the max number of parents.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.K2
Gets the max number of parents.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Gets the max number of parents.
getMaxNumberOfItems() - Method in class weka.associations.FPGrowth
Gets the maximum number of items to be included in large item sets.
getMaxNumberOfItemsPerTA() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the maxNumberOfItemsPerTA property.
getMaxNumberOfItemsPerTransaction() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the maxNumberOfItemsPerTransaction property.
getMaxNumberOfTAsPerTAGroup() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the maxNumberOfTAsPerTAGroup property.
getMaxNumCandidateCanopiesToHoldInMemory() - Method in class weka.clusterers.Canopy
Get the maximum number of candidate canopies to retain in memory during training.
getMaxNumComponents() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the number of components to use.
getMaxPlots() - Method in class weka.gui.beans.AttributeSummarizer
Get the number of plots to display
getMaxPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the maximum of points visited.
getMaxRadius() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the upper boundary for the radiuses of the clusters.
getMaxRange() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Gets the upper boundary for the range of x
getMaxRelativeLeafRadius() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the maximum relative radius of a leaf node.
getMaxRows() - Method in class weka.gui.sql.event.QueryExecuteEvent
returns the maximum number of rows to retrieve.
getMaxRows() - Method in class weka.gui.sql.QueryPanel
returns the current value for the maximum number of rows.
getMaxRows() - Method in class weka.gui.sql.ResultSetHelper
the maximum number of rows to retrieve, less than 1 means unlimited.
getMaxRuleSize() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the maximum number of tests in rules.
getMaxRunNumber() - Method in class weka.gui.beans.BatchClassifierEvent
Get the maximum run number
getMaxRunNumber() - Method in class weka.gui.beans.TestSetEvent
Get the maximum number of runs.
getMaxRunNumber() - Method in class weka.gui.beans.TrainingSetEvent
Get the maximum number of runs.
getMaxSetNumber() - Method in class weka.gui.beans.BatchClassifierEvent
Get the maximum set number (ie the total number of training and testing sets in the series).
getMaxSetNumber() - Method in class weka.gui.beans.BatchClustererEvent
Get the maximum set number (ie the total number of training and testing sets in the series).
getMaxSetNumber() - Method in class weka.gui.beans.TestSetEvent
Get the maximum set number
getMaxSetNumber() - Method in class weka.gui.beans.TrainingSetEvent
Get the maximum set number
getMaxSubsequenceLength() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the maximum length of the subsequence
getMaxThreshold() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Get the maximum threshold.
getMaxTime() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
Gets the value of the maxTime property.
getMaxTime() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
Gets the value of the maxTime property.
getMaxValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
 
getMaxVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxX() - Method in class weka.gui.visualize.Plot2D
Return the current max value of the attribute plotted on the x axis
getMaxXBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Gets the maximum x-coordinate bound, in training-instance units (not mouse coordinates).
getMaxY() - Method in class weka.gui.visualize.Plot2D
Return the current max value of the attribute plotted on the y axis
getMaxYBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Gets the maximum x-coordinate bound, in training-instance units (not mouse coordinates).
getMean() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
Gets the value of the mean property.
getMean() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
Gets the value of the mean property.
getMean() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Gets the value of the mean property.
getMean() - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
Gets the value of the mean property.
getMean() - Method in class weka.core.pmml.jaxbbindings.Time
Gets the value of the mean property.
getMean() - Method in class weka.estimators.MultivariateGaussianEstimator
Returns the mean vector.
getMean() - Method in class weka.estimators.NormalEstimator
Return the value of the mean of this normal estimator.
getMean(int, int) - Method in class weka.experiment.ResultMatrix
returns the mean at the given position, if the position is valid, otherwise 0.
getMeanAbsoluteError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the meanAbsoluteError property.
getMeanCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the mean of coords per point.
getMeanError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the meanError property.
getMeanIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the mean of internal nodes visited.
getMeanLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the mean of number of leaves visited.
getMeanOfSquares() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Gets the value of the meanOfSquares property.
getMeanPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the mean of points visited.
getMeanPrec() - Method in class weka.experiment.ResultMatrix
returns the current precision for the means.
getMeanPrecision() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the default precision for the mean.
getMeans() - Method in class weka.estimators.KernelEstimator
Return the means of the kernels.
getMeanSquared() - Method in class weka.classifiers.lazy.IBk
Gets whether the mean squared error is used rather than mean absolute error when doing cross-validation.
getMeanSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the meanSquaredError property.
getMeanValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
 
getMeanWidth() - Method in class weka.experiment.ResultMatrix
returns the current width for the mean.
getMeasure(String) - Method in class weka.classifiers.bayes.BayesNet
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.functions.SimpleLogistic
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.functions.SMOreg
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.lazy.IBk
Returns the value of the named measure from the neighbour search algorithm, plus the chosen K in case cross-validation is enabled.
getMeasure(String) - Method in class weka.classifiers.lazy.LWL
Returns the value of the named measure from the neighbour search algorithm.
getMeasure(String) - Method in class weka.classifiers.meta.AdditiveRegression
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.meta.Bagging
Returns the value of the named measure.
getMeasure(String) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.misc.InputMappedClassifier
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.rules.DecisionTable
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.rules.JRip
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.rules.PART
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.trees.J48
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.trees.LMT
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.trees.m5.M5Base
Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.trees.REPTree
Returns the value of the named measure.
getMeasure(String) - Method in interface weka.core.AdditionalMeasureProducer
Returns the value of the named measure
getMeasure(String) - Method in class weka.core.neighboursearch.BallTree
Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.CoverTree
Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.KDTree
Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.PerformanceStats
Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the value of the named measure.
getMeasure(String) - Method in class weka.experiment.AveragingResultProducer
Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.ClassifierSplitEvaluator
Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.CrossValidationResultProducer
Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.DatabaseResultProducer
Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the value of the named measure.
getMeasure(String) - Method in class weka.experiment.LearningRateResultProducer
Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.RandomSplitResultProducer
Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.RegressionSplitEvaluator
Returns the value of the named measure
getMeasurePerformance() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Gets whether performance statistics are being calculated or not.
getMedian() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Gets the value of the median property.
getMembershipValues(Instance) - Method in class weka.classifiers.meta.Bagging
Computes an array that indicates leaf membership
getMembershipValues(Instance) - Method in class weka.classifiers.meta.FilteredClassifier
Computes an array that has a value for each element in the partition.
getMembershipValues(Instance) - Method in class weka.classifiers.meta.RandomCommittee
Computes an array that indicates leaf membership
getMembershipValues(Instance) - Method in class weka.classifiers.trees.j48.ClassifierTree
Computes a list that indicates node membership
getMembershipValues(Instance) - Method in class weka.classifiers.trees.J48
Computes an array that indicates node membership.
getMembershipValues(Instance) - Method in class weka.classifiers.trees.RandomTree
Computes array that indicates node membership.
getMembershipValues(Instance) - Method in class weka.classifiers.trees.REPTree
Computes array that indicates node membership.
getMembershipValues(Instance) - Method in interface weka.core.PartitionGenerator
Computes an array that has a value for each element in the partition.
getMenu() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the menu bar to be added in a frame
getMenuBar() - Method in class weka.classifiers.bayes.net.GUI
Get the menu bar for this application.
getMenuBar() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
Return the menu bar for this plugin
getMenuBar() - Method in class weka.gui.scripting.FileScriptingPanel
Returns the menu bar to to be displayed in the frame.
getMenuBar() - Method in class weka.gui.scripting.ScriptingPanel
Returns the menu bar to to be displayed in the frame.
getMenuBar() - Method in class weka.gui.SimpleCLIPanel
Not supported.
getMenuEntryText() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
Get the text entry to appear in the menu
getMenuItem(String) - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
 
getMenus() - Method in class weka.gui.AbstractPerspective
Get an ordered list of menus to appear in the main menu bar.
getMenus() - Method in class weka.gui.explorer.PreprocessPanel
 
getMenus() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get an ordered list of menus to appear in the main menu bar.
getMenus() - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
Get the list of menus
getMenus() - Method in interface weka.gui.Perspective
Get an ordered list of menus to appear in the main menu bar.
getMenus() - Method in class weka.gui.SimpleCLIPanel
 
getMenuTitle() - Method in interface weka.gui.MainMenuExtension
Returns the name of the menu item.
getMenuToDisplayIn() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
Get the menu that the plugin is to be listed in
getMergeValueRange() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Get the range of the merge values used.
getMetaClassifier() - Method in class weka.classifiers.meta.Stacking
Gets the meta classifier.
getMetadata() - Method in class weka.core.Attribute
Returns the properties supplied for this attribute.
getMetaData() - Method in class weka.core.converters.DatabaseConnection
Gets meta data for the database connection object.
getMetadata() - Method in class weka.core.Settings.SettingKey
Get the metadata for this setting
getMetadataElement(String) - Method in class weka.core.Settings.SettingKey
Get a piece of metadata for this setting
getMetadataElement(String, String) - Method in class weka.core.Settings.SettingKey
Get a peice of metadata for this setting
getMetaStore() - Static method in class weka.gui.beans.BeansProperties
Get the metastore
getMethod() - Method in class weka.classifiers.functions.neural.NeuralNode
 
getMethod() - Method in class weka.classifiers.meta.MultiClassClassifier
Gets the method used.
getMethod() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Gets the value of the method property.
getMethodName() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Get the transformation method.
getMetricDescription() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
Get a short description of this metric (algorithm, forumulas etc.).
getMetricName() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
Get the name of this metric
getMetricNamesForRule() - Method in class weka.associations.AssociationRule
Return the names of the metrics available for this rule.
getMetricNamesForRule() - Method in class weka.associations.DefaultAssociationRule
 
getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.GiniSplitMetric
 
getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.InfoGainSplitMetric
 
getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.SplitMetric
Get the range of the splitting metric
getMetricsToDisplay() - Method in class weka.classifiers.evaluation.Evaluation
Get a list of the names of metrics to have appear in the output The default is to display all built in metrics and plugin metrics that haven't been globally disabled.
getMetricsToDisplay() - Method in class weka.classifiers.Evaluation
Get a list of the names of metrics to have appear in the output The default is to display all built in metrics and plugin metrics that haven't been globally disabled.
getMetricType() - Method in class weka.associations.Apriori
Get the metric type
getMetricType() - Method in class weka.associations.FPGrowth
Get the metric type to use.
getMetricValuesForRule() - Method in class weka.associations.AssociationRule
Get all the available metric values for this rule.
getMetricValuesForRule() - Method in class weka.associations.DefaultAssociationRule
 
getMiddle(double[]) - Method in class weka.core.EuclideanDistance
Returns value in the middle of the two parameter values.
getMin() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the min property.
getMin() - Method in class weka.core.pmml.jaxbbindings.Time
Gets the value of the min property.
getMin() - Method in class weka.gui.beans.ChartEvent
Get the min y value
getMinAbsoluteCoefficientValue() - Method in class weka.classifiers.functions.SGDText
Get the minimum absolute magnitude for model coefficients.
getMinArray() - Method in class weka.filters.unsupervised.attribute.Normalize
Returns the calculated minimum values for the attributes in the data.
getMinBoxRelWidth() - Method in class weka.core.neighboursearch.KDTree
Gets the minimum relative box width.
getMinBucketSize() - Method in class weka.classifiers.rules.OneR
Get the value of minBucketSize.
getMinC() - Method in class weka.gui.visualize.Plot2D
Return the current min value of the colouring attribute
getMinCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the minimum of coords per point.
getMinDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Get the minimum default.
getMinFunction() - Method in class weka.core.Optimization
Get the minimal function value
getMinimal() - Method in class weka.classifiers.functions.LinearRegression
Returns whether to be more memory conservative or being able to output the model as string.
getMinimizeAbsoluteError() - Method in class weka.classifiers.meta.AdditiveRegression
Gets whether absolute error is to be minimized.
getMinimizeAbsoluteError() - Method in class weka.classifiers.meta.RegressionByDiscretization
Gets whether to min.
getMinimizeExpectedCost() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Gets the value of MinimizeExpectedCost.
getMinimum() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the minimum property.
getMinimum() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Gets the value of the minimum property.
getMinimumAntConsSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumAntConsSeparationTime property.
getMinimumBucketSize() - Method in class weka.attributeSelection.OneRAttributeEval
Get the minimum bucket size used by oneR
getMinimumCanopyDensity() - Method in class weka.clusterers.Canopy
Get the minimum T2-based density below which a canopy will be pruned during periodic pruning.
getMinimumConfidence() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the minimumConfidence property.
getMinimumConfidence() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumConfidence property.
getMinimumFractionOfWeightInfoGain() - Method in class weka.classifiers.trees.HoeffdingTree
Get the minimum fraction of weight required down at least two branches for info gain splitting
getMinimumFrequency() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Gets the minimum frequency.
getMinimumItemsetSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumItemsetSeparationTime property.
getMinimumLift() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumLift property.
getMinimumNumberInstances() - Method in class weka.core.Capabilities
returns the minimum number of instances that have to be in the dataset
getMinimumNumberOfAntecedentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumNumberOfAntecedentItems property.
getMinimumNumberOfConsequentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumNumberOfConsequentItems property.
getMinimumNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumNumberOfItems property.
getMinimumSupport() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the minimumSupport property.
getMinimumSupport() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumSupport property.
getMinimumTotalSequenceTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
Gets the value of the minimumTotalSequenceTime property.
getMiningBuildTask() - Method in class weka.core.pmml.jaxbbindings.PMML
Gets the value of the miningBuildTask property.
getMiningFields() - Method in class weka.core.pmml.jaxbbindings.MiningSchema
Gets the value of the miningField property.
getMiningFields() - Method in class weka.core.pmml.MiningSchema
 
getMiningModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the miningModel property.
getMiningSchema() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Get the mining schema for this model.
getMiningSchema() - Method in interface weka.core.pmml.PMMLModel
Get the mining schema.
getMiningSchemaAsInstances() - Method in class weka.core.pmml.MiningSchema
Get the mining schema fields as an Instances object.
getMinInstNum() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the lower boundary for instances per cluster.
getMinInstNum() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Gets the lower boundary for instances per cluster.
getMinIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the minimum of internal nodes visited.
getMinkowski() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the minkowski property.
getMinLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the minimum number of leaves visited.
getMinLevel() - Method in class weka.core.logging.Logger
Returns the minimum level log messages must have in order to appear in the log.
getMinLogLikelihoodImprovementCV() - Method in class weka.clusterers.EM
Get the minimum improvement in cross-validated log likelihood required to consider increasing the number of clusters when cross-validating to find the best number of clusters
getMinLogLikelihoodImprovementIterating() - Method in class weka.clusterers.EM
Get the minimum improvement in log likelihood necessary to perform another iteration of the E and M steps.
getMinMax(Instances, int, double[]) - Static method in class weka.estimators.CheckEstimator
Find the minimum and the maximum of the attribute and return it in the last parameter..
getMinMax(Instances, int, double[]) - Static method in class weka.estimators.EstimatorUtils
Find the minimum and the maximum of the attribute and return it in the last parameter.
getMinMetric() - Method in class weka.associations.Apriori
Get the value of minConfidence.
getMinMetric() - Method in class weka.associations.FPGrowth
Get the value of minConfidence.
getMinNo() - Method in class weka.classifiers.rules.JRip
Gets the minimum total weight of the instances in a rule
getMinNum() - Method in class weka.classifiers.trees.RandomTree
Get the value of MinNum.
getMinNum() - Method in class weka.classifiers.trees.REPTree
Get the value of MinNum.
getMinNumInstances() - Method in class weka.classifiers.trees.LMT
Get the value of minNumInstances.
getMinNumInstances() - Method in class weka.classifiers.trees.m5.M5Base
Get the minimum number of instances to allow at a leaf node
getMinNumInstances() - Method in class weka.classifiers.trees.m5.Rule
Get the minimum number of instances to allow at a leaf node
getMinNumInstances() - Method in class weka.classifiers.trees.m5.RuleNode
Get the minimum number of instances to allow at a leaf node
getMinNumObj() - Method in class weka.classifiers.rules.PART
Get the value of minNumObj.
getMinNumObj() - Method in class weka.classifiers.trees.J48
Get the value of minNumObj.
getMinPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the minimum of points visited.
getMinRadius() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the lower boundary for the radiuses of the clusters.
getMinRange() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Gets the lower boundary for the range of x
getMinRuleSize() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the minimum number of tests in rules.
getMinStdDev() - Method in class weka.clusterers.EM
Get the minimum allowable standard deviation.
getMinStdDev() - Method in class weka.clusterers.MakeDensityBasedClusterer
Get the minimum allowable standard deviation.
getMinTermFreq() - Method in class weka.core.converters.DictionarySaver
Get the MinTermFreq value.
getMinTermFreq() - Method in class weka.core.DictionaryBuilder
Get the MinTermFreq value.
getMinTermFreq() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Get the MinTermFreq value.
getMinThreshold() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Get the minimum threshold.
getMinValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
 
getMinVarianceProp() - Method in class weka.classifiers.trees.RandomTree
Get the value of MinVarianceProp.
getMinVarianceProp() - Method in class weka.classifiers.trees.REPTree
Get the value of MinVarianceProp.
getMinVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinWordFrequency() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Get the minimum word frequency.
getMinWordFrequency() - Method in class weka.classifiers.functions.SGDText
Get the minimum word frequency.
getMinX() - Method in class weka.gui.visualize.Plot2D
Return the current min value of the attribute plotted on the x axis
getMinXBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Gets the minimum x-coordinate bound, in training-instance units (not mouse coordinates).
getMinY() - Method in class weka.gui.visualize.Plot2D
Return the current min value of the attribute plotted on the y axis
getMinYBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Gets the minimum y-coordinate bound, in training-instance units (not mouse coordinates).
getMisses() - Method in class weka.core.FindWithCapabilities
returns the misses from the last find call.
getMissingDependencies(List<Package>) - Method in class weka.core.packageManagement.DefaultPackage
Gets a list of packages that this package depends on that are not in the supplied list of packages.
getMissingDependencies() - Method in class weka.core.packageManagement.DefaultPackage
Gets a list of packages that this package depends on that are not currently installed.
getMissingDependencies() - Method in class weka.core.packageManagement.Package
Gets a list of packages that this package depends on that are not currently installed.
getMissingDependencies(List<Package>) - Method in class weka.core.packageManagement.Package
Gets a list of packages that this package depends on that are not in the supplied list of packages.
getMissingFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
Gets the value of the missingFreq property.
getMissingMerge() - Method in class weka.attributeSelection.GainRatioAttributeEval
get whether missing values are being distributed or not
getMissingMerge() - Method in class weka.attributeSelection.InfoGainAttributeEval
get whether missing values are being distributed or not
getMissingMerge() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
get whether missing values are being distributed or not
getMissingMode() - Method in class weka.classifiers.lazy.KStar
Gets the method to use for handling missing values.
getMissingSeparate() - Method in class weka.attributeSelection.CfsSubsetEval
Return true is missing is treated as a separate value
getMissingValue() - Method in class weka.core.converters.CSVLoader
Returns the current placeholder for missing values.
getMissingValue() - Method in class weka.core.converters.CSVSaver
Returns the current placeholder for missing values.
getMissingValuePenalty() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the missingValuePenalty property.
getMissingValuePenalty() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the value of the missingValuePenalty property.
getMissingValueReplacement() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the missingValueReplacement property.
getMissingValueStrategy() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the missingValueStrategy property.
getMissingValueStrategy() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the value of the missingValueStrategy property.
getMissingValueTreatment() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the missingValueTreatment property.
getMissingValueTreatmentMethod() - Method in class weka.core.pmml.MiningFieldMetaInfo
Get the missing value treatment method for this field.
getModalValue() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
Gets the value of the modalValue property.
getModel() - Method in class weka.classifiers.trees.m5.RuleNode
Get the linear model at this node
getModel() - Method in class weka.gui.SortedTableModel
returns the current model, can be null
getModelClass() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Gets the value of the modelClass property.
getModelDF() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the modelDF property.
getModelFile() - Method in class weka.classifiers.misc.SerializedClassifier
Gets the file containing the serialized model.
getModelHeader(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
Return the instance structure that the encapsulated model was built with.
getModelLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
Gets the value of the modelLiftGraph property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.TextModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the value of the modelName property.
getModelParameters() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns a string describing the number of LogitBoost iterations performed at this node, the total number of LogitBoost iterations performed (including iterations at higher levels in the tree), and the number of training examples at this node.
getModelPath() - Method in class weka.classifiers.misc.InputMappedClassifier
Get the path used for loading a model.
getModelStats() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the modelStats property.
getModelStats() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the modelStats property.
getModelType() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the modelType property.
getModelType() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Gets the value of the modelType property.
getModelValueAt(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns the value at the given position
getModificationText() - Method in class weka.filters.RenameRelation
Get the modification text to apply
getModificationText() - Method in class weka.knowledgeflow.steps.AlterRelationName
Get the modification text to apply
getModifyHeader() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Gets whether the header will be modified when selecting on nominal attributes.
getModifyHeader() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Gets whether the header will be modified when selecting on nominal attributes.
getModType() - Method in class weka.filters.RenameRelation
Get the modification type to apply
getModType() - Method in class weka.knowledgeflow.steps.AlterRelationName
Get the modification type to apply
getMomentum() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getMultiInstance() - Method in class weka.core.TestInstances
Gets whether multi-instance data (with a fixed structure) is generated
getMultiInstanceCapabilities() - Method in interface weka.core.MultiInstanceCapabilitiesHandler
Returns the capabilities of this multi-instance classifier for the relational data (i.e., the bags).
getMultiLineComment() - Method in class weka.gui.scripting.SyntaxDocument
Returns whether multi-line comments are enabled.
getMultiLineCommentEnd() - Method in class weka.gui.scripting.SyntaxDocument
Returns the end of a multi-line comment.
getMultiLineCommentStart() - Method in class weka.gui.scripting.SyntaxDocument
Returns the string that is the start of a multi-line comment.
getMultipleModelMethod() - Method in class weka.core.pmml.jaxbbindings.Segmentation
Gets the value of the multipleModelMethod property.
getMultivariateStat() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
Gets the value of the multivariateStat property.
getMultivariateStats() - Method in class weka.core.pmml.jaxbbindings.ModelStats
Gets the value of the multivariateStats property.
getMustRunSingleThreaded() - Method in class weka.knowledgeflow.StepTask
Get whether this StepTask must run single threaded - i.e.
getN() - Method in class weka.core.pmml.jaxbbindings.ArrayType
Gets the value of the n property.
getN() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
Gets the value of the n property.
getN() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
Gets the value of the n property.
getNaiveBayesModel() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Get the naive bayes model at this node
getNaiveBayesModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the naiveBayesModel property.
getNaiveBayesPredictionThreshold() - Method in class weka.classifiers.trees.HoeffdingTree
Get the number of instances (weight) a leaf should observe before allowing naive Bayes to make predictions
getName() - Method in class weka.classifiers.bayes.BayesNet
get name of the Bayes network
getName() - Method in class weka.core.expressionlanguage.common.Primitives.BooleanVariable
 
getName() - Method in class weka.core.expressionlanguage.common.Primitives.DoubleVariable
 
getName() - Method in class weka.core.expressionlanguage.common.Primitives.StringVariable
 
getName() - Method in class weka.core.json.JSONNode
Returns the name of the node.
getName() - Method in class weka.core.packageManagement.DefaultPackage
Convenience method to return the name of this package.
getName() - Method in class weka.core.packageManagement.Package
Convenience method to return the name of this package.
getName() - Method in class weka.core.pmml.Function
 
getName() - Method in class weka.core.pmml.jaxbbindings.Application
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Characteristic
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Cluster
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Extension
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Parameter
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.ParameterField
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Partition
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Predictor
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.ResultField
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.TextDocument
Gets the value of the name property.
getName() - Method in class weka.core.pmml.MiningFieldMetaInfo
Get the name of this field.
getName() - Method in class weka.core.PropertyPath.PathElement
returns the name of the property
getName() - Method in class weka.filters.unsupervised.attribute.AddExpression
Returns the name of the new attribute
getName() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the name of the new attribute
getName() - Method in class weka.gui.experiment.AbstractSetupPanel
Returns the name of the panel.
getName() - Method in class weka.gui.experiment.SetupPanel
Returns the name of the panel.
getName() - Method in class weka.gui.experiment.SimpleSetupPanel
Returns the name of the panel.
getName() - Method in class weka.gui.simplecli.AbstractCommand
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Capabilities
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Cls
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Echo
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Exit
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Help
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.History
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Java
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Kill
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Script
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Set
Returns the name of the command.
getName() - Method in class weka.gui.simplecli.Unset
Returns the name of the command.
getName() - Method in class weka.gui.visualize.VisualizePanel
Returns the name associated with this plot.
getName() - Method in interface weka.knowledgeflow.StepManager
Get the name of the step managed by this StepManager
getName() - Method in class weka.knowledgeflow.StepManagerImpl
Get the name of the Step being managed
getName() - Method in class weka.knowledgeflow.steps.BaseStep
Get the name of this step
getName() - Method in interface weka.knowledgeflow.steps.Step
Get the name of this step
getNameAndValueFromUnsupervisedNominalToBinaryDerivedAttribute(Instances, Attribute) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
Extracts the original attribute name and value from the name of a binary indicator attribute created by unsupervised NominalToBinary.
getNameAtIndex(int) - Method in class weka.gui.ResultHistoryPanel
Gets the name of theitem in the list at the specified index
getNamedBuffer(String) - Method in class weka.gui.ResultHistoryPanel
Gets the named buffer
getNamedMetric(String, int...) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
Gets the value of a named metric.
getNamedMetricThresholds(String) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
Gets the thresholds produced by the metric, if the metric implements ThresholdProducingMetric.
getNamedMetricValue(String) - Method in class weka.associations.AssociationRule
Get the value of the named metric for this rule
getNamedMetricValue(String) - Method in class weka.associations.DefaultAssociationRule
 
getNamedObject(String) - Method in class weka.gui.ResultHistoryPanel
Get the named object from the list
getNbCols() - Method in class weka.core.pmml.jaxbbindings.Matrix
Gets the value of the nbCols property.
getNbCorrect() - Method in class weka.core.pmml.jaxbbindings.RuleSet
Gets the value of the nbCorrect property.
getNbCorrect() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the nbCorrect property.
getNbRows() - Method in class weka.core.pmml.jaxbbindings.Matrix
Gets the value of the nbRows property.
getNearestNeighborModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the nearestNeighborModel property.
getNearestNeighbourSearchAlgorithm() - Method in class weka.classifiers.lazy.IBk
Returns the current nearestNeighbourSearch algorithm in use.
getNearestNeighbourSearchAlgorithm() - Method in class weka.classifiers.lazy.LWL
Returns the current nearestNeighbourSearch algorithm in use.
getNegativeTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.ROC
Gets the value of the negativeTargetFieldDisplayValue property.
getNegativeTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.ROC
Gets the value of the negativeTargetFieldValue property.
getNeuralInput() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
Gets the value of the neuralInput property.
getNeuralNetwork() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the neuralNetwork property.
getNeuralOutput() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
Gets the value of the neuralOutput property.
getNeuron() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Gets the value of the neuron property.
getNewAttributeName() - Method in class weka.gui.beans.SubstringLabelerRules
Get the name to use for the new attribute that is added
getNewLine() - Method in class weka.gui.scripting.Script
Returns the new line string in use.
getNext(int) - Method in class weka.classifiers.functions.supportVector.SMOset
Gets the next element in the set.
getNextInstance(Instances) - Method in class weka.core.converters.AbstractLoader
 
getNextInstance(Instances) - Method in class weka.core.converters.ArffLoader
Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.C45Loader
Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.CSVLoader
 
getNextInstance(Instances) - Method in class weka.core.converters.DatabaseLoader
Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.JSONLoader
JSONLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in class weka.core.converters.LibSVMLoader
LibSVmLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in interface weka.core.converters.Loader
Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.MatlabLoader
MatlabLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in class weka.core.converters.SerializedInstancesLoader
Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.SVMLightLoader
SVMLightLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in class weka.core.converters.TextDirectoryLoader
Process input directories/files incrementally.
getNextInstance(Instances) - Method in class weka.core.converters.XRFFLoader
XRFFLoader is unable to process a data set incrementally.
getNGramMaxSize() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Gets the max N of the NGram.
getNGramMaxSize() - Method in class weka.core.tokenizers.NGramTokenizer
Gets the max N of the NGram.
getNGramMinSize() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Gets the min N of the NGram.
getNGramMinSize() - Method in class weka.core.tokenizers.NGramTokenizer
Gets the min N of the NGram.
getNoClass() - Method in class weka.core.TestInstances
whether no class attribute is generated
getNode(String) - Method in class weka.classifiers.bayes.net.BIFReader
getNode finds the index of the node with name sNodeName and throws an exception if no such node can be found.
getNode(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
returns index of node with given name.
getNode(String) - Method in class weka.classifiers.bayes.net.MarginCalculator
 
getNode() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the node property.
getNode(String) - Method in class weka.core.xml.XMLDocument
Returns the node represented by the XPath expression.
getNode2(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
returns index of node with given name, or -1 if no such node exists
getNodeName(int) - Method in class weka.classifiers.bayes.BayesNet
get name of a node in the Bayes network
getNodes() - Method in class weka.classifiers.trees.lmt.LMTNode
Return a list of all inner nodes in the tree
getNodes(Vector<LMTNode>) - Method in class weka.classifiers.trees.lmt.LMTNode
Fills a list with all inner nodes in the tree
getNodes() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
give access to set of graph nodes
getNodes() - Method in interface weka.gui.graphvisualizer.LayoutEngine
give access to set of graph nodes
getNodeSplitter() - Method in class weka.core.neighboursearch.KDTree
Returns the splitting method currently in use to split the nodes of the KDTree.
getNodeType() - Method in class weka.core.json.JSONNode
Returns the type of the container.
getNodeValue(int, int) - Method in class weka.classifiers.bayes.BayesNet
get name of a particular value of a node
getNoHeaderRow() - Method in class weka.core.converters.CSVSaver
Get whether to not write the header row
getNoHeaderRowPresent() - Method in class weka.core.converters.CSVLoader
Get whether there is no header row in the data.
getNoise() - Method in class weka.classifiers.functions.GaussianProcesses
Get the value of noise.
getNoisePercent() - Method in class weka.datagenerators.classifiers.classification.LED24
Gets the noise percentage.
getNoiseRate() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Gets the gaussian noise rate.
getNoiseVariance() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Gets the noise variance
getNominalAttributes() - Method in class weka.core.converters.CSVLoader
Returns the current attribute range to be forced to type nominal.
getNominalBinary() - Method in class weka.gui.beans.SubstringLabeler
Get whether the new attribute created should be a nominal binary attribute rather than a numeric binary attribute.
getNominalBinary() - Method in class weka.gui.beans.SubstringLabelerRules
Get whether to create a nominal binary attribute in the case when the user has not supplied an explicit label to use for each rule.
getNominalBinary() - Method in class weka.knowledgeflow.steps.SubstringLabeler
Get whether the new attribute created should be a nominal binary attribute rather than a numeric binary attribute.
getNominalCols() - Method in class weka.datagenerators.clusterers.SubspaceCluster
returns the range of nominal attributes
getNominalConversionThreshold() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Get the minimum number of values a nominal attribute must have in order to be transformed.
getNominalIndices() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Get the set of nominal value indices that will be used for selection
getNominalLabels() - Method in class weka.filters.unsupervised.attribute.Add
Get the list of labels for nominal attribute creation.
getNominalLabelSpecs() - Method in class weka.core.converters.CSVLoader
Get label specifications for nominal attributes.
getNominalOrStringValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the value of the attribute as a string (nominal and string attribute) or null if the attribute is not nominal or string
getNominalStringReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Get the nominal/string replacement value
getNominalToBinaryFilter() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getNonEmpty() - Method in class weka.core.TestOptions
 
getNoPruning() - Method in class weka.classifiers.trees.REPTree
Get the value of NoPruning.
getNoReplacement() - Method in class weka.filters.supervised.instance.Resample
Gets whether instances are drawn with or without replacement.
getNoReplacement() - Method in class weka.filters.unsupervised.instance.Resample
Gets whether instances are drawn with or without replacement.
getNorm() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Get the instance's Norm.
getNorm() - Method in class weka.classifiers.functions.SGDText
Get the instance's Norm.
getNorm() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
Gets the value of the norm property.
getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Gets the value of the normalizationMethod property.
getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the normalizationMethod property.
getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the normalizationMethod property.
getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Gets the value of the normalizationMethod property.
getNormalizationScheme() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the normalizationScheme property.
getNormalize() - Method in class weka.core.DictionaryBuilder
Get whether word frequencies for a document should be normalized
getNormalizeAttributes() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getNormalizedCountTable() - Method in class weka.core.pmml.jaxbbindings.Baseline
Gets the value of the normalizedCountTable property.
getNormalizeDimWidths() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Whether we are normalizing the widths(ranges) of the dimensions (attributes) or not.
getNormalizeDocLength() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Get whether to normalize the length of each document
getNormalizeDocLength() - Method in class weka.classifiers.functions.SGDText
Get whether to normalize the length of each document
getNormalizeDocLength() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Gets whether if the word frequencies for a document (instance) should be normalized or not.
getNormalizeDocLength() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets whether if the word frequencies for a document (instance) should be normalized or not.
getNormalizeNodeWidth() - Method in class weka.core.neighboursearch.KDTree
Gets the normalize flag.
getNormalizeNumericClass() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the normContinuous property.
getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the normContinuous property.
getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the normContinuous property.
getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the normDiscrete property.
getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the normDiscrete property.
getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the normDiscrete property.
getNoSizeDetermination() - Method in class weka.experiment.ClassifierSplitEvaluator
Returns whether the size determination (train/test/classifer) is skipped.
getNoSizeDetermination() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns whether the size determination (train/test/clusterer) is skipped.
getNoSizeDetermination() - Method in class weka.experiment.RegressionSplitEvaluator
Returns whether the size determination (train/test/classifer) is skipped.
getNot() - Method in class weka.datagenerators.Test
Negates the test.
getNotCapabilities() - Method in class weka.core.FindWithCapabilities
The "not to have" capabilities to search for.
getNotes() - Method in class weka.experiment.Experiment
Get the user notes.
getNoteText() - Method in class weka.gui.beans.Note
Get the note text
getNoteText() - Method in class weka.knowledgeflow.steps.Note
Get the text of the note
getNoTrueChildStrategy() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the noTrueChildStrategy property.
getNoTrueChildStrategy() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the value of the noTrueChildStrategy property.
getNPointPrecision(Instances, int) - Static method in class weka.classifiers.evaluation.ThresholdCurve
Calculates the n point precision result, which is the precision averaged over n evenly spaced (w.r.t recall) samples of the curve.
getNrOfGoodOperations() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Gets the number of "good operations"
getNrOfLookAheadSteps() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Gets the number of look-ahead steps
getNrOfNodes() - Method in class weka.classifiers.bayes.BayesNet
get number of nodes in the Bayes network
getNrOfParents(int) - Method in class weka.classifiers.bayes.BayesNet
get number of parents of a node in the network structure
getNrOfParents() - Method in class weka.classifiers.bayes.net.ParentSet
returns number of parents
getNumArcs() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Gets the number of arcs for the bayesian net
getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.ContStats
Gets the value of the numarray property.
getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.Matrix
Gets the value of the numarray property.
getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Gets the value of the numarray property.
getNumAttributes() - Method in class weka.core.TestInstances
returns the overall number of attributes (incl.
getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Gets the number of attributes that should be produced.
getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Gets the number of attributes that should be produced.
getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the number of attributes that should be produced.
getNumAttributes() - Method in class weka.datagenerators.ClusterGenerator
Gets the number of attributes that should be produced.
getNumAttributes() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Get the number of attributes (< 1 percentage, >= 1 absolute number).
getNumberOfAttributes() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
Gets the value of the numberOfAttributes property.
getNumberOfAttributes() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Gets the current number of attributes (dimensionality) to which the data will be reduced to.
getNumberOfClusters() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Gets the value of the numberOfClusters property.
getNumberOfCoefficients() - Method in class weka.core.pmml.jaxbbindings.Coefficients
Gets the value of the numberOfCoefficients property.
getNumberOfDocuments() - Method in class weka.core.pmml.jaxbbindings.TextModel
Gets the value of the numberOfDocuments property.
getNumberOfFields() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
Gets the value of the numberOfFields property.
getNumberOfFields() - Method in class weka.core.pmml.jaxbbindings.VectorFields
Gets the value of the numberOfFields property.
getNumberOfInputs() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
Gets the value of the numberOfInputs property.
getNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the numberOfItems property.
getNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Itemset
Gets the value of the numberOfItems property.
getNumberOfItemsets() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the numberOfItemsets property.
getNumberOfLayers() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the numberOfLayers property.
getNumberOfMetricsForRule() - Method in class weka.associations.AssociationRule
Gets the number of metrics available for this rule.
getNumberOfMetricsForRule() - Method in class weka.associations.DefaultAssociationRule
 
getNumberOfNeighbors() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the numberOfNeighbors property.
getNumberOfNeurons() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Gets the value of the numberOfNeurons property.
getNumberOfOutputs() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
Gets the value of the numberOfOutputs property.
getNumberOfRules() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the numberOfRules property.
getNumberOfSets() - Method in class weka.core.pmml.jaxbbindings.Sequence
Gets the value of the numberOfSets property.
getNumberOfSets() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Gets the value of the numberOfSets property.
getNumberOfSupportVectors() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
Gets the value of the numberOfSupportVectors property.
getNumberOfTerms() - Method in class weka.core.pmml.jaxbbindings.TextModel
Gets the value of the numberOfTerms property.
getNumberOfTransactionGroups() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the numberOfTransactionGroups property.
getNumberOfTransactions() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the numberOfTransactions property.
getNumberOfTransactions() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the numberOfTransactions property.
getNumberOfVectors() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
Gets the value of the numberOfVectors property.
getNumBins() - Method in class weka.classifiers.meta.RegressionByDiscretization
Gets the number of bins numeric attributes will be divided into
getNumBins() - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
 
getNumBins() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Gets the number of bins
getNumBoostingIterations() - Method in class weka.classifiers.functions.SimpleLogistic
Get the value of numBoostingIterations.
getNumBoostingIterations() - Method in class weka.classifiers.trees.LMT
Get the value of numBoostingIterations.
getNumBootstrapRuns() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the number of Bootstrap runs.
getNumCentroids() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Gets the number of centroids.
getNumClasses() - Method in class weka.core.TestInstances
returns the current number of classes
getNumClasses() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Gets the number of classes the dataset should have.
getNumClasses() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the number of classes the dataset should have.
getNumClusters() - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
Return the number of clusters used by the subset evaluator
getNumClusters() - Method in class weka.clusterers.Canopy
Get the number of clusters to generate
getNumClusters() - Method in class weka.clusterers.ClusterEvaluation
Return the number of clusters found for the most recent call to evaluateClusterer
getNumClusters() - Method in class weka.clusterers.EM
Get the number of clusters
getNumClusters() - Method in class weka.clusterers.FarthestFirst
gets the number of clusters to generate
getNumClusters() - Method in class weka.clusterers.HierarchicalClusterer
 
getNumClusters() - Method in class weka.clusterers.SimpleKMeans
gets the number of clusters to generate.
getNumClusters() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the number of clusters the dataset should have.
getNumComponents() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the number of components to use.
getNumCVFolds() - Method in class weka.gui.explorer.ClassifierPanel
Get the number of cross-validation folds to use
getNumCycles() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the number of cycles.
getNumDatasets() - Method in class weka.experiment.PairedTTester
Gets the number of datasets in the resultsets
getNumDatasets() - Method in interface weka.experiment.Tester
Gets the number of datasets in the resultsets
getNumDate() - Method in class weka.core.CheckScheme
returns the current number of date attributes
getNumDate() - Method in class weka.core.TestInstances
returns the current number of date attributes
getNumDecimalPlaces() - Method in class weka.classifiers.AbstractClassifier
Get the number of decimal places.
getNumDecimalPlaces() - Method in class weka.classifiers.trees.m5.Rule
Get the number of decimal places.
getNumDecimals() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the number of digits to output after the decimal point.
getNumeric() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Check if new attribute is to be numeric.
getNumericAttributes() - Method in class weka.core.converters.CSVLoader
Gets the attribute range to be forced to type numeric
getNumericColumns() - Method in class weka.gui.sql.ResultSetHelper
returns an array that indicates whether a column is numeric or nor.
getNumericInfo() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Gets the value of the numericInfo property.
getNumericInfo() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Gets the value of the numericInfo property.
getNumericPredictors() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
Gets the value of the numericPredictor property.
getNumericReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Get the numeric replacement value
getNumericValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the value of the attribute as a number or Utils.missingValue() if the attribute is not numeric.
getNumExamples() - Method in class weka.datagenerators.ClassificationGenerator
Gets the number of examples, given by option.
getNumExamples() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Gets the number of examples, given by option.
getNumExamples() - Method in class weka.datagenerators.RegressionGenerator
Gets the number of examples, given by option.
getNumExamplesAct() - Method in class weka.datagenerators.DataGenerator
Gets the number of examples the dataset should have.
getNumExecutionSlots() - Method in class weka.attributeSelection.GreedyStepwise
Gets the number of threads.
getNumExecutionSlots() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
Get the number of execution slots (threads) to use for building the members of the ensemble.
getNumExecutionSlots() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
Get the number of execution slots (threads) to use for building the members of the ensemble.
getNumExecutionSlots() - Method in class weka.clusterers.EM
Get the degree of parallelism to use.
getNumExecutionSlots() - Method in class weka.clusterers.SimpleKMeans
Get the degree of parallelism to use.
getNumFeatures() - Method in class weka.classifiers.trees.RandomForest
Get the number of features used in random selection.
getNumFiles() - Method in class weka.core.Debug.Log
returns the number of files being used
getNumFolds() - Method in class weka.classifiers.functions.SMO
Get the value of numFolds.
getNumFolds() - Method in class weka.classifiers.meta.CVParameterSelection
Gets the number of folds for the cross-validation.
getNumFolds() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the value of NumFolds.
getNumFolds() - Method in class weka.classifiers.meta.MultiScheme
Gets the number of folds for cross-validation.
getNumFolds() - Method in class weka.classifiers.meta.Stacking
Gets the number of folds for the cross-validation.
getNumFolds() - Method in class weka.classifiers.rules.PART
Get the value of numFolds.
getNumFolds() - Method in class weka.classifiers.trees.J48
Get the value of numFolds.
getNumFolds() - Method in class weka.classifiers.trees.RandomTree
Get the value of NumFolds.
getNumFolds() - Method in class weka.classifiers.trees.REPTree
Get the value of NumFolds.
getNumFolds() - Method in class weka.clusterers.EM
Get the number of folds to use when cross-validating to find the best number of clusters.
getNumFolds() - Method in class weka.experiment.CrossValidationResultProducer
Get the value of NumFolds.
getNumFolds() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Gets the number of folds in which dataset is to be split into.
getNumFolds() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Gets the number of folds in which dataset is to be split into.
getNumFolds() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Gets the number of cross-validation folds used by the filter.
getNumFolds() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Get the number of folds to create
getNumGeneratingModels() - Method in interface weka.gui.boundaryvisualizer.DataGenerator
Returns the number of generating models used by this DataGenerator
getNumGeneratingModels() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
Return the number of kernels (there is one per training instance)
getNumInnerNodes() - Method in class weka.classifiers.trees.lmt.LMTNode
Method to count the number of inner nodes in the tree
getNumInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
 
getNumInstances() - Method in class weka.classifiers.bayes.BayesNet
Returns the number of instances the model was built from.
getNumInstances() - Method in class weka.classifiers.trees.m5.RuleNode
Return the number of instances that reach this node.
getNumInstances() - Method in class weka.core.CheckScheme
Gets the current number of instances to use for the datasets.
getNumInstances() - Method in class weka.core.TestInstances
returns the current number of instances to produce
getNumInstances() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
 
getNumInstances() - Method in class weka.estimators.CheckEstimator
Gets the current number of instances to use for the datasets.
getNumInstancesRelational() - Method in class weka.core.CheckScheme
returns the current number of instances in relational/bag attributes to produce
getNumInstancesRelational() - Method in class weka.core.TestInstances
returns the current number of instances in relational/bag attributes to produce
getNumIntervals() - Method in class weka.filters.supervised.instance.ClassBalancer
Gets the number of discretization intervals to use when the class is numeric.
getNumIrrelevant() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the number of irrelevant attributes.
getNumIterations() - Method in class weka.classifiers.functions.VotedPerceptron
Get the value of NumIterations.
getNumIterations() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
Gets the number of bagging iterations
getNumKernels() - Method in class weka.estimators.KernelEstimator
Return the number of kernels in this kernel estimator
getNumKMeansRuns() - Method in class weka.clusterers.EM
Returns the number of runs of k-means to perform.
getNumLeaves() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns the number of leaves in the tree.
getNumLeaves() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the number of leaves in the built tree.
getNumLocationsPerPixel() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the number of locations/samples per pixel
getNumNeighbours() - Method in class weka.attributeSelection.ReliefFAttributeEval
Get the number of nearest neighbours
getNumNodes() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the number of nodes (internal + leaf) in the built tree.
getNumNominal() - Method in class weka.core.CheckScheme
returns the current number of nominal attributes
getNumNominal() - Method in class weka.core.TestInstances
returns the current number of nominal attributes
getNumNominalValues() - Method in class weka.core.TestInstances
returns the current number of values for nominal attributes
getNumNumeric() - Method in class weka.core.CheckScheme
returns the current number of numeric attributes
getNumNumeric() - Method in class weka.core.TestInstances
returns the current number of numeric attributes
getNumNumeric() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the number of numerical attributes.
getNumOfPredictors() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the numOfPredictors property.
getNumOfRecords() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the numOfRecords property.
getNumOfRecordsWeighted() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the numOfRecordsWeighted property.
getNumOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
 
getNumQueries() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the number of queries.
getNumRegressions() - Method in class weka.classifiers.functions.SimpleLogistic
Get the number of LogitBoost iterations performed (= the number of regression functions fit by LogitBoost).
getNumRegressions() - Method in class weka.classifiers.trees.lmt.LogisticBase
The number of LogitBoost iterations performed (= the number of simple regression functions fit).
getNumRelational() - Method in class weka.core.CheckScheme
returns the current number of relational attributes
getNumRelational() - Method in class weka.core.TestInstances
returns the current number of relational attributes
getNumRelationalDate() - Method in class weka.core.TestInstances
returns the current number of date attributes in a relational attribute
getNumRelationalNominal() - Method in class weka.core.TestInstances
returns the current number of nominal attributes in a relational attribute
getNumRelationalNominalValues() - Method in class weka.core.TestInstances
returns the current number of values for nominal attributes in a relational attribute
getNumRelationalNumeric() - Method in class weka.core.TestInstances
returns the current number of numeric attributes in a relational attribute
getNumRelationalString() - Method in class weka.core.TestInstances
returns the current number of string attributes in a relational attribute
getNumResultsets() - Method in class weka.experiment.PairedTTester
Gets the number of resultsets in the data.
getNumResultsets() - Method in interface weka.experiment.Tester
Gets the number of resultsets in the data.
getNumRules() - Method in class weka.associations.Apriori
Get the value of numRules.
getNumRules() - Method in class weka.associations.AssociationRules
Get the number of rules.
getNumRules() - Method in class weka.associations.FilteredAssociationRules
Get the number of rules.
getNumRulesToFind() - Method in class weka.associations.FPGrowth
Get the number of rules to find.
getNumRuns() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the value of NumRuns.
getNumSamplesPerRegion() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Get the number of points to sample from a region (fixed dimensions).
getNumString() - Method in class weka.core.CheckScheme
returns the current number of string attributes
getNumString() - Method in class weka.core.TestInstances
returns the current number of string attributes
getNumSymbols() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Gets the number of symbols this estimator operates with
getNumSymbols() - Method in class weka.estimators.DiscreteEstimator
Gets the number of symbols this estimator operates with
getNumTabs() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getNumTabs() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the number of open tabs
getNumThreads() - Method in class weka.attributeSelection.CfsSubsetEval
Gets the number of threads.
getNumThreads() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Gets the number of threads.
getNumThreads() - Method in class weka.classifiers.meta.LogitBoost
Gets the number of threads.
getNumToEvaluateInParallel() - Method in class weka.attributeSelection.ClassifierAttributeEval
Get the number of attributes to evaluate in parallel
getNumToSelect() - Method in class weka.attributeSelection.GreedyStepwise
Gets the number of attributes to be retained.
getNumToSelect() - Method in interface weka.attributeSelection.RankedOutputSearch
Gets the user specified number of attributes to be retained.
getNumToSelect() - Method in class weka.attributeSelection.Ranker
Gets the number of attributes to be retained.
getNumTraining() - Method in class weka.classifiers.lazy.IBk
Get the number of training instances the classifier is currently using.
getNumValues() - Method in class weka.datagenerators.clusterers.SubspaceCluster
returns array that stores the number of values for a nominal attribute.
getNumValues() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Gets how many values are retained
getObject() - Method in class weka.core.CheckGOE
Get the object used in the tests.
getObject() - Method in class weka.core.SerializedObject
Returns a serialized object.
getObjectInputStream(InputStream) - Static method in class weka.core.SerializationHelper
Get a (Weka package classloader aware) ObjectInputStream instance for reading objects from the supplied input stream
getOccurrence() - Method in class weka.core.pmml.jaxbbindings.Sequence
Gets the value of the occurrence property.
getOccurrence() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Gets the value of the occurrence property.
getOffDiagDefault() - Method in class weka.core.pmml.jaxbbindings.Matrix
Gets the value of the offDiagDefault property.
getOffscreenAdditionalOpts() - Method in class weka.gui.beans.DataVisualizer
Get the additional options for the offscreen renderer
getOffscreenAdditionalOpts() - Method in class weka.gui.beans.ModelPerformanceChart
Get the additional options for the offscreen renderer
getOffscreenAdditionalOpts() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Get the additional options for the offscreen renderer
getOffscreenAdditionalOpts() - Method in class weka.knowledgeflow.steps.DataVisualizer
Get the additional options for the offscreen renderer
getOffscreenAdditionalOpts() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get the additional options for the offscreen renderer
getOffscreenHeight() - Method in class weka.gui.beans.DataVisualizer
Get the height (in pixels) of the offscreen image to generate
getOffscreenHeight() - Method in class weka.gui.beans.ModelPerformanceChart
Get the height (in pixels) of the offscreen image to generate
getOffscreenHeight() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Get the height (in pixels) of the offscreen image to generate
getOffscreenHeight() - Method in class weka.knowledgeflow.steps.DataVisualizer
Get the height (in pixels) of the offscreen image to generate
getOffscreenHeight() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get the height (in pixels) of the offscreen image to generate
getOffscreenRendererName() - Method in class weka.gui.beans.DataVisualizer
Get the name of the renderer to use for offscreen chart rendering operations
getOffscreenRendererName() - Method in class weka.gui.beans.ModelPerformanceChart
Get the name of the renderer to use for offscreen chart rendering operations
getOffscreenRendererName() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Get the name of the renderer to use for offscreen chart rendering operations
getOffscreenRendererName() - Method in class weka.knowledgeflow.steps.DataVisualizer
Get the name of the renderer to use for offscreen chart rendering operations
getOffscreenRendererName() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get the name of the renderer to use for offscreen chart rendering operations
getOffscreenWidth() - Method in class weka.gui.beans.DataVisualizer
Get the width (in pixels) of the offscreen image to generate.
getOffscreenWidth() - Method in class weka.gui.beans.ModelPerformanceChart
Get the width (in pixels) of the offscreen image to generate.
getOffscreenWidth() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Get the width (in pixels) of the offscreen image to generate.
getOffscreenWidth() - Method in class weka.knowledgeflow.steps.DataVisualizer
Get the width (in pixels) of the offscreen image to generate.
getOffscreenWidth() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get the width (in pixels) of the offscreen image to generate.
getOffscreenXAxis() - Method in class weka.gui.beans.DataVisualizer
Get the name of the attribute for the x-axis in offscreen plots
getOffscreenXAxis() - Method in class weka.gui.beans.ModelPerformanceChart
Get the name of the attribute for the x-axis in offscreen plots
getOffscreenXAxis() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Get the name of the attribute for the x-axis in offscreen plots
getOffscreenXAxis() - Method in class weka.knowledgeflow.steps.DataVisualizer
Get the name of the attribute for the x-axis in offscreen plots
getOffscreenXAxis() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get the name of the attribute for the x-axis in offscreen plots
getOffscreenYAxis() - Method in class weka.gui.beans.DataVisualizer
Get the name of the attribute for the y-axix of offscreen plots.
getOffscreenYAxis() - Method in class weka.gui.beans.ModelPerformanceChart
Get the name of the attribute for the y-axix of offscreen plots.
getOffscreenYAxis() - Method in class weka.knowledgeflow.steps.DataVisualizer
Get the name of the attribute for the y-axix of offscreen plots.
getOffscreenYAxis() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get the name of the attribute for the y-axix of offscreen plots.
getOffset() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Gets the value of the offset property.
getOffsetValue() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the offsetValue property.
getOffsetVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the offsetVariable property.
getOmega() - Method in class weka.classifiers.functions.supportVector.Puk
Gets the omega value.
getOnDemandDirectory() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Returns the directory that will be searched for cost files when loading on demand.
getOnDemandDirectory() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Returns the directory that will be searched for cost files when loading on demand.
getOperator() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Gets the value of the operator property.
getOperator() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
Gets the value of the operator property.
getOperator() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Get the operator
getOptimizations() - Method in class weka.classifiers.rules.JRip
Gets the the number of optimization runs
getOptimumLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
Gets the value of the optimumLiftGraph property.
getOption(char, String[]) - Static method in class weka.core.Utils
Gets an option indicated by a flag "-Char" from the given array of strings.
getOption(String, String[]) - Static method in class weka.core.Utils
Gets an option indicated by a flag "-String" from the given array of strings.
getOptionHandler() - Method in class weka.core.CheckOptionHandler
Get the OptionHandler used in the tests.
getOptionPos(char, String[]) - Static method in class weka.core.Utils
Gets the index of an option or flag indicated by a flag "-Char" from the given array of strings.
getOptionPos(String, String[]) - Static method in class weka.core.Utils
Gets the index of an option or flag indicated by a flag "-String" from the given array of strings.
getOptions() - Method in class weka.associations.AbstractAssociator
Gets the current settings of the associator
getOptions() - Method in class weka.associations.Apriori
Gets the current settings of the Apriori object.
getOptions() - Method in class weka.associations.CheckAssociator
Gets the current settings of the CheckAssociator.
getOptions() - Method in class weka.associations.FilteredAssociator
Gets the current settings of the Associator.
getOptions() - Method in class weka.associations.FPGrowth
Gets the current settings of the classifier.
getOptions() - Method in class weka.associations.SingleAssociatorEnhancer
Gets the current settings of the associator.
getOptions() - Method in class weka.attributeSelection.ASEvaluation
Gets the current settings of the evaluator.
getOptions() - Method in class weka.attributeSelection.ASSearch
Gets the current settings of the search.
getOptions() - Method in class weka.attributeSelection.BestFirst
Gets the current settings of BestFirst.
getOptions() - Method in class weka.attributeSelection.CfsSubsetEval
Gets the current settings of CfsSubsetEval
getOptions() - Method in class weka.attributeSelection.CheckAttributeSelection
Gets the current settings of the CheckAttributeSelection.
getOptions() - Method in class weka.attributeSelection.ClassifierAttributeEval
returns the current setup.
getOptions() - Method in class weka.attributeSelection.ClassifierSubsetEval
Gets the current settings of ClassifierSubsetEval
getOptions() - Method in class weka.attributeSelection.CorrelationAttributeEval
Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.attributeSelection.GainRatioAttributeEval
Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.attributeSelection.GreedyStepwise
Gets the current settings of ReliefFAttributeEval.
getOptions() - Method in class weka.attributeSelection.InfoGainAttributeEval
Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.attributeSelection.OneRAttributeEval
returns the current setup.
getOptions() - Method in class weka.attributeSelection.PrincipalComponents
Gets the current settings of PrincipalComponents
getOptions() - Method in class weka.attributeSelection.Ranker
Gets the current settings of ReliefFAttributeEval.
getOptions() - Method in class weka.attributeSelection.ReliefFAttributeEval
Gets the current settings of ReliefFAttributeEval.
getOptions() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.attributeSelection.WrapperSubsetEval
Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.classifiers.AbstractClassifier
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.bayes.BayesNet
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.NaiveBayes
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.K2
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.TAN
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.K2
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.TAN
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.BVDecompose
Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.classifiers.BVDecomposeSegCVSub
Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.classifiers.CheckClassifier
Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.classifiers.CheckSource
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.classifiers.evaluation.output.prediction.CSV
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.classifiers.functions.GaussianProcesses
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.LinearRegression
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.Logistic
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.MultilayerPerceptron
Gets the current settings of NeuralNet.
getOptions() - Method in class weka.classifiers.functions.SGD
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.SGDText
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.SimpleLinearRegression
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.SimpleLogistic
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.functions.SMO
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.SMOreg
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.supportVector.CachedKernel
Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.CheckKernel
Gets the current settings of the CheckKernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.Kernel
Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.Puk
Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.supportVector.RegSMO
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Gets the current settings of the object.
getOptions() - Method in class weka.classifiers.functions.supportVector.StringKernel
Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.VotedPerceptron
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.lazy.IBk
Gets the current settings of IBk.
getOptions() - Method in class weka.classifiers.lazy.KStar
Gets the current settings of K*.
getOptions() - Method in class weka.classifiers.lazy.LWL
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.meta.AdaBoostM1
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.AdditiveRegression
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.Bagging
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.CVParameterSelection
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.FilteredClassifier
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.LogitBoost
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.MultiClassClassifier
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.MultiScheme
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.RandomSubSpace
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.RegressionByDiscretization
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.Stacking
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.Vote
Gets the current settings of Vote.
getOptions() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.misc.InputMappedClassifier
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.misc.SerializedClassifier
returns the options of the current setup
getOptions() - Method in class weka.classifiers.MultipleClassifiersCombiner
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableClassifier
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.rules.DecisionTable
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.rules.JRip
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.rules.OneR
Gets the current settings of the OneR classifier.
getOptions() - Method in class weka.classifiers.rules.PART
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.SingleClassifierEnhancer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.trees.HoeffdingTree
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.trees.J48
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.trees.LMT
Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.trees.m5.M5Base
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.trees.M5P
Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.trees.RandomForest
Gets the current settings of the forest.
getOptions() - Method in class weka.classifiers.trees.RandomTree
Gets options from this classifier.
getOptions() - Method in class weka.classifiers.trees.REPTree
Gets options from this classifier.
getOptions() - Method in class weka.clusterers.AbstractClusterer
Gets the current settings of the clusterer.
getOptions() - Method in class weka.clusterers.Canopy
Gets the current settings of Canopy.
getOptions() - Method in class weka.clusterers.CheckClusterer
Gets the current settings of the CheckClusterer.
getOptions() - Method in class weka.clusterers.Cobweb
Gets the current settings of Cobweb.
getOptions() - Method in class weka.clusterers.EM
Gets the current settings of EM.
getOptions() - Method in class weka.clusterers.FarthestFirst
Gets the current settings of FarthestFirst
getOptions() - Method in class weka.clusterers.FilteredClusterer
Gets the current settings of the clusterer.
getOptions() - Method in class weka.clusterers.HierarchicalClusterer
Gets the current settings of the clusterer.
getOptions() - Method in class weka.clusterers.MakeDensityBasedClusterer
Gets the current settings of the clusterer.
getOptions() - Method in class weka.clusterers.RandomizableClusterer
Gets the current settings of the classifier.
getOptions() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
Gets the current settings of the classifier.
getOptions() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
Gets the current settings of the classifier.
getOptions() - Method in class weka.clusterers.SimpleKMeans
Gets the current settings of SimpleKMeans.
getOptions() - Method in class weka.clusterers.SingleClustererEnhancer
Gets the current settings of the clusterer.
getOptions() - Method in class weka.core.Check
Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.core.CheckGOE
Gets the current settings of the object.
getOptions() - Method in class weka.core.CheckOptionHandler
Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.core.CheckScheme
Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.core.converters.AbstractFileSaver
Gets the current settings of the Saver object.
getOptions() - Method in class weka.core.converters.ArffSaver
returns the options of the current setup
getOptions() - Method in class weka.core.converters.C45Saver
Gets the current settings of the C45Saver object.
getOptions() - Method in class weka.core.converters.CSVLoader
 
getOptions() - Method in class weka.core.converters.CSVSaver
Gets the current settings of the Classifier.
getOptions() - Method in class weka.core.converters.DatabaseLoader
Gets the setting
getOptions() - Method in class weka.core.converters.DatabaseSaver
Gets the setting.
getOptions() - Method in class weka.core.converters.JSONSaver
returns the options of the current setup.
getOptions() - Method in class weka.core.converters.LibSVMSaver
returns the options of the current setup
getOptions() - Method in class weka.core.converters.MatlabSaver
returns the options of the current setup.
getOptions() - Method in class weka.core.converters.SVMLightSaver
returns the options of the current setup.
getOptions() - Method in class weka.core.converters.TextDirectoryLoader
Gets the setting
getOptions() - Method in class weka.core.converters.XRFFSaver
returns the options of the current setup
getOptions() - Method in class weka.core.DictionaryBuilder
Gets the current settings of the DictionaryBuilder
getOptions() - Method in class weka.core.FilteredDistance
Gets the current settings.
getOptions() - Method in class weka.core.FindWithCapabilities
Gets the current settings of this object.
getOptions() - Method in class weka.core.Javadoc
Gets the current settings of this object.
getOptions() - Method in class weka.core.ListOptions
Gets the current settings of this object.
getOptions() - Method in class weka.core.MinkowskiDistance
Gets the current settings of this object.
getOptions() - Method in class weka.core.neighboursearch.BallTree
Gets the current settings of KDtree.
getOptions() - Method in class weka.core.neighboursearch.balltrees.BallSplitter
Gets the current settings of the object.
getOptions() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Gets the current settings.
getOptions() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Gets the current settings of the object.
getOptions() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Gets the current settings.
getOptions() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Gets the current settings of this BallTree MiddleOutConstructor.
getOptions() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Gets the current settings of KDtree.
getOptions() - Method in class weka.core.neighboursearch.CoverTree
Gets the current settings of KDtree.
getOptions() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Gets the current settings.
getOptions() - Method in class weka.core.neighboursearch.KDTree
Gets the current settings of KDtree.
getOptions() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Gets the current settings of the object.
getOptions() - Method in class weka.core.neighboursearch.LinearNNSearch
Gets the current settings.
getOptions() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Gets the current settings.
getOptions() - Method in class weka.core.NormalizableDistance
Gets the current settings.
getOptions(Object, Class<?>) - Static method in class weka.core.Option
Get the settings of the supplied object.
getOptions() - Method in interface weka.core.OptionHandler
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.core.OptionHandlerJavadoc
Gets the current settings of this object.
getOptions() - Method in class weka.core.stemmers.SnowballStemmer
Gets the current settings of the classifier.
getOptions() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
Gets the current settings of the Classifier.
getOptions() - Method in class weka.core.stopwords.AbstractStopwords
Gets the current settings of the Classifier.
getOptions() - Method in class weka.core.stopwords.MultiStopwords
Gets the current settings of the Classifier.
getOptions() - Method in class weka.core.TechnicalInformationHandlerJavadoc
Gets the current settings of this object.
getOptions() - Method in class weka.core.TestInstances
Gets the current settings of this object.
getOptions() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.core.tokenizers.NGramTokenizer
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.core.tokenizers.Tokenizer
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.datagenerators.ClassificationGenerator
Gets the current settings of the classifier.
getOptions() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.classifiers.classification.LED24
Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the current settings of the datagenerator RDG1.
getOptions() - Method in class weka.datagenerators.classifiers.regression.Expression
Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.ClusterGenerator
Gets the current settings of the classifier.
getOptions() - Method in class weka.datagenerators.DataGenerator
Gets the current settings of the datagenerator RDG1.
getOptions() - Method in class weka.datagenerators.RegressionGenerator
Gets the current settings of the classifier.
getOptions() - Method in class weka.estimators.CheckEstimator
Gets the current settings of the CheckEstimator.
getOptions() - Method in class weka.estimators.Estimator
Gets the current settings of the Estimator.
getOptions() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the current set of options.
getOptions() - Method in class weka.experiment.AveragingResultProducer
Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.ClassifierSplitEvaluator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.CrossValidationResultProducer
Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.CSVResultListener
Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.DatabaseResultProducer
Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.Experiment
Gets the current settings of the experiment iterator.
getOptions() - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.InstanceQuery
Gets the current settings of InstanceQuery
getOptions() - Method in class weka.experiment.LearningRateResultProducer
Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.PairedTTester
Gets current settings of the PairedTTester.
getOptions() - Method in class weka.experiment.RandomSplitResultProducer
Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.RegressionSplitEvaluator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.ResultMatrix
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.filters.CheckSource
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.Filter
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.MultiFilter
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.AddClassification
Gets the current settings of the classifier.
getOptions() - Method in class weka.filters.supervised.attribute.AttributeSelection
Gets the current settings for the attribute selection (search, evaluator) etc.
getOptions() - Method in class weka.filters.supervised.attribute.ClassOrder
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.Discretize
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.NominalToBinary
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.PartitionMembership
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.instance.Resample
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.instance.SpreadSubsample
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Add
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddCluster
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddExpression
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddID
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddNoise
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddUserFields
Gets the current settings of the filter
getOptions() - Method in class weka.filters.unsupervised.attribute.AddValues
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Copy
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Discretize
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.FirstOrder
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MathExpression
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NominalToString
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Normalize
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
 
getOptions() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Remove
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveByName
returns the options of the current setup.
getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveType
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
 
getOptions() - Method in class weka.filters.unsupervised.attribute.Reorder
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
 
getOptions() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.SortLabels
Gets the current settings of the classifier.
getOptions() - Method in class weka.filters.unsupervised.attribute.StringToNominal
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.SwapValues
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
 
getOptions() - Method in class weka.filters.unsupervised.instance.Randomize
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveRange
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.Resample
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Gets the current settings of the filter.
getOptions() - Method in class weka.gui.explorer.AbstractPlotInstances
Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.gui.Main
returns the options of the current setup.
getOptions() - Method in class weka.gui.scripting.Script
Gets the current settings of the script.
getOptionsForHierarchy(Object, Class<?>) - Static method in class weka.core.Option
Get the settings of the supplied object.
getOPTYPE(int) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
Returns an OPTYPE for a weka attribute type.
getOptype() - Method in class weka.core.pmml.Expression
Get the optype of the result of applying this Expression.
getOptype() - Method in class weka.core.pmml.FieldMetaInfo
Get the optype.
getOptype() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.ParameterField
Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.ResultField
Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the optype property.
getOrder() - Method in enum weka.core.logging.Logger.Level
Returns the order of this level.
getOrder() - Method in class weka.core.MinkowskiDistance
Gets the order.
getOrderedFlag() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the ordered flag (option O).
getOrig() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
Gets the value of the orig property.
getOriginalCoords() - Method in class weka.gui.beans.MetaBean
returns the vector containing the original coordinates (instances of class Point) for the inputs
getOtherCapabilities() - Method in class weka.core.Capabilities
returns all other capabilities, besides class and attribute related ones
getOutgoingConnectedStepsOfConnectionType(String) - Method in interface weka.knowledgeflow.StepManager
Get a list of downstream steps connected to this step with the given connection type.
getOutgoingConnectedStepsOfConnectionType(String) - Method in class weka.knowledgeflow.StepManagerImpl
 
getOutgoingConnectedStepWithName(String) - Method in interface weka.knowledgeflow.StepManager
Get a named step connected to this step with an outgoing connection
getOutgoingConnectedStepWithName(String) - Method in class weka.knowledgeflow.StepManagerImpl
Get a named step connected to this step with an outgoing connection
getOutgoingConnections() - Method in interface weka.knowledgeflow.StepManager
Get a Map of all outgoing connections.
getOutgoingConnections() - Method in class weka.knowledgeflow.StepManagerImpl
Get the map of downstream (outgoing connections) connected steps
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.AlterRelationName
Get the list of outgoing connection types that can be made given the current state of incoming connections
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Appender
Get a list of outgoing connection types that this step can produce at this time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ASEvaluator
Get a list of output connections that can be produced given the current state of the step
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
Get a list of outgoing connections from this step.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Associator
Get a list of outgoing connections that this step can produce at this time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Get a list of outgoing connections that this step can produce at this time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
Get a list of outgoing connection types that this step can produce at this time.
getOutgoingConnectionTypes() - Method in interface weka.knowledgeflow.steps.BaseStepExtender
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Block
Get a list of outgoing connection types that this step can produce at this time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassAssigner
Get the outgoing connection types that this step can produce at this time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Classifier
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassValuePicker
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Clusterer
Get a list of outgoing connections that could be made from this step at this point in time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataGenerator
Get a list of outgoing connection types
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataGrid
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataVisualizer
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Dummy
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get a list of possible outgoing connection types at this point in time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Filter
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.FlowByExpression
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.GetDataFromResult
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.GraphViewer
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ImageSaver
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ImageViewer
Get a list of outgoing connections that can be generated given the current state of the step - will produce StepManager.CON_IMAGE data if we have at least one incoming image connection connection
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Job
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Join
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Loader
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Note
Get outgoing connections produced - none in the case of a note :-)
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.PredictionAppender
Get a list of outgoing connection types that this step can produce at this time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Saver
Get a list of outgoing connection types that this step can produce at this time
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SendToPerspective
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SetPropertiesFromEnvironment
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SetVariables
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Sorter
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in interface weka.knowledgeflow.steps.Step
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.StripChart
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SubstringLabeler
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SubstringReplacer
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TestSetMaker
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TextSaver
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TextViewer
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TrainingSetMaker
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Get a list of outgoing connection types that this step can produce.
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.WriteDataToResult
 
getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.WriteWekaLog
Get currently generatable outgoing connection types
getOutlierFactor() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Gets the factor for determining the thresholds for outliers.
getOutliers() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the outliers property.
getOutliers() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
Gets the value of the outliers property.
getOutlierTreatmentMethod() - Method in class weka.core.pmml.MiningFieldMetaInfo
Get the outlier treatment method used for this field.
getOutOfBagEvaluationObject() - Method in class weka.classifiers.meta.Bagging
Returns the out-of-bag evaluation object.
getOutput() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the output property.
getOutput() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the output property.
getOutput() - Method in class weka.datagenerators.DataGenerator
Gets the print writer.
getOutput() - Method in class weka.gui.explorer.DataGeneratorPanel
returns the generated output as text
getOutput() - Method in class weka.gui.scripting.FileScriptingPanel
Returns the text area that is used for displaying output on stdout and stderr.
getOutput() - Method in class weka.gui.scripting.ScriptingPanel
Returns the text area that is used for displaying output on stdout and stderr.
getOutput() - Method in class weka.gui.SimpleCLIPanel
Returns the text area that is used for displaying output on stdout and stderr.
getOutputAdditionalStats() - Method in class weka.classifiers.functions.LinearRegression
Get whether to output additional statistics (such as std.
getOutputAdditionalStats() - Method in class weka.classifiers.functions.SimpleLinearRegression
Get whether to output additional statistics (such as std.
getOutputArea() - Method in class weka.gui.SimpleCLIPanel
The output area.
getOutputClassification() - Method in class weka.filters.supervised.attribute.AddClassification
Get whether the classifiction of the classifier is output.
getOutputColumn() - Method in class weka.core.pmml.jaxbbindings.MapValues
Gets the value of the outputColumn property.
getOutputConfusionMatrix() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
getOutputDef() - Method in class weka.core.pmml.BuiltInArithmetic
Get the structure of the result produced by this function.
getOutputDef() - Method in class weka.core.pmml.BuiltInMath
Get the structure of the result produced by this function.
getOutputDef() - Method in class weka.core.pmml.BuiltInString
Get the structure of the result produced by this function.
getOutputDef() - Method in class weka.core.pmml.DefineFunction
Get the structure of the result produced by this function.
getOutputDef() - Method in class weka.core.pmml.FieldRef
Return the structure of the result of applying this Expression as an Attribute.
getOutputDef() - Method in class weka.core.pmml.Function
Get the structure of the result produced by this function.
getOutputDetailedInfo() - Method in class weka.attributeSelection.CorrelationAttributeEval
Get whether to output per-value correlation for nominal attributes
getOutputDirectory() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Get the directory to save to
getOutputDistribution() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns whether to output the class distribution as well.
getOutputDistribution() - Method in class weka.filters.supervised.attribute.AddClassification
Get whether the classifiction of the classifier is output.
getOutputEntropyMetrics() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
getOutputErrorFlag() - Method in class weka.filters.supervised.attribute.AddClassification
Get whether the classifiction of the classifier is output.
getOutputFields() - Method in class weka.core.pmml.jaxbbindings.Output
Gets the value of the outputField property.
getOutputFile() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the output file to write to.
getOutputFile() - Method in class weka.experiment.CrossValidationResultProducer
Get the value of OutputFile.
getOutputFile() - Method in class weka.experiment.CSVResultListener
Get the value of OutputFile.
getOutputFile() - Method in class weka.experiment.ExplicitTestsetResultProducer
Get the value of OutputFile.
getOutputFile() - Method in class weka.experiment.RandomSplitResultProducer
Get the value of OutputFile.
getOutputFilename() - Method in class weka.core.converters.TextDirectoryLoader
Gets whether the filename will be stored as an extra attribute.
getOutputFilename() - Method in class weka.gui.GenericPropertiesCreator
returns the name of the output file
getOutputFormat() - Method in class weka.core.Debug.Clock
returns the output format
getOutputFormat() - Method in class weka.filters.Filter
Gets the format of the output instances.
getOutputFormat() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
Gets the format of the output instances.
getOutputFormat() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the classname (and optional options) of the ResultMatrix class, responsible for the output format.
getOutputItemSets() - Method in class weka.associations.Apriori
Gets whether itemsets are output as well
getOutputNeuron() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
Gets the value of the outputNeuron property.
getOutputNums() - Method in class weka.classifiers.functions.neural.NeuralConnection
Use this to get easy access to the output numbers.
getOutputOffsetMultiplier() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Gets whether an additional attribute "Offset" is generated per Outlier/ExtremeValue attribute pair that lists the multiplier the value is off the median: value = median + 'multiplier' * IQR.
getOutputOutOfBagComplexityStatistics() - Method in class weka.classifiers.meta.Bagging
Gets whether complexity statistics are output when OOB estimation is performed.
getOutputPerClassInfoRetrievalStats() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Get whether per-class information retrieval stats are to be output.
getOutputPerClassInfoRetrievalStats() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Get whether per-class information retrieval stats are to be output.
getOutputPerClassStats() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
getOutputProbsForSVM() - Method in class weka.classifiers.functions.SGDText
Get whether to fit a logistic regression (itself trained using SGD) to the outputs of the SVM (if an SVM is being learned).
getOutputProperties() - Method in class weka.gui.GenericPropertiesCreator
returns the output properties object (structure like the template, but filled with classes instead of packages)
getOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
Use this to get easy access to the outputs.
getOutputs() - Method in class weka.gui.beans.MetaBean
 
getOutputStructure() - Method in class weka.gui.beans.SubstringLabelerRules
Get the output structure
getOutputTypes() - Method in class weka.core.Debug.DBO
Gets the current output type selection
getOutputWordCounts() - Method in class weka.core.DictionaryBuilder
Gets whether output instances contain 0 or 1 indicating word presence, or word counts.
getOutputWordCounts() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Gets whether output instances contain 0 or 1 indicating word presence, or word counts.
getOutputWordCounts() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets whether output instances contain 0 or 1 indicating word presence, or word counts.
getOverwriteWarning() - Method in class weka.gui.ConverterFileChooser
Returns whether a popup appears with a warning that the file already exists (only save dialog).
getOwner() - Method in class weka.core.Capabilities
returns the owner of this capabilities object
getOwner() - Static method in class weka.core.Copyright
returns the entity owning the copyright
getOwner() - Method in class weka.gui.scripting.Script.ScriptThread
Returns the owner.
getOwner() - Method in class weka.gui.simplecli.AbstractCommand
Returns the owner.
getP() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the proportion of instances that are common between two training sets.
getPackage() - Method in class weka.core.packageManagement.PackageConstraint
Get the package that this constraint applies to.
getPackage(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
returns the packages part of the partial classname.
getPackageArchiveInfo(String) - Method in class weka.core.packageManagement.DefaultPackageManager
Get package information from the supplied package archive file.
getPackageArchiveInfo(String) - Method in class weka.core.packageManagement.PackageManager
Get package information from the supplied package archive file.
getPackageArchiveInfo(String) - Static method in class weka.core.WekaPackageManager
Extract meta data from a package archive
getPackageClassLoader(String) - Method in class weka.core.WekaPackageClassLoaderManager
Get the classloader for the named package
getPackageClassLoadersForDependencies() - Method in class weka.core.WekaPackageLibIsolatingClassLoader
Gets a list of class loaders for the packages that this one depends on
getPackageHome() - Method in class weka.core.packageManagement.PackageManager
Get the location (directory) of installed packages
getPackageHome() - Static method in class weka.core.WekaPackageManager
 
getPackageJarEntries() - Method in class weka.core.WekaPackageLibIsolatingClassLoader
Get a Set of the names of all classes contained within top-level jar files in this package
getPackageJarFileClasses() - Method in class weka.core.WekaPackageClassLoaderManager
Get a set of all classes contained in all top-level jar files from Weka packages.
getPackageList(boolean) - Static method in class weka.core.WekaPackageManager
Just get a list of the package names.
getPackageMetaData() - Method in class weka.core.packageManagement.Package
Get the meta data for this package.
getPackageMetaDataElement(Object) - Method in class weka.core.packageManagement.Package
Gets the package meta data element associated with the supplied key.
getPackageName() - Method in class weka.core.WekaPackageLibIsolatingClassLoader
Return the name of the package that this classloader loads classes for
getPackageRepositoryURL() - Method in class weka.core.packageManagement.PackageManager
Get the URL to the repository of package meta data.
getPackageRepositoryURL() - Static method in class weka.core.WekaPackageManager
Get the package repository URL
getPackageURL() - Method in class weka.core.packageManagement.DefaultPackage
Convenience method that returns the URL to the package (i.e the provider's URL).
getPackageURL() - Method in class weka.core.packageManagement.Package
Convenience method that returns the URL to the package (i.e the provider's URL).
getPaint() - Method in class weka.gui.visualize.PostscriptGraphics
 
getPairCounts() - Method in class weka.core.pmml.jaxbbindings.BayesInput
Gets the value of the pairCounts property.
getPalleteSelectedStep() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Return the currently selected step in the design palette
getPanel(int) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the specified panel, null if index is out of bounds
getPanel() - Method in class weka.gui.scripting.event.TitleUpdatedEvent
Returns the scripting panel that triggered the event.
getPanelCount() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the number of panels currently open
getPanels() - Static method in class weka.gui.experiment.AbstractSetupPanel
Returns a list of all available setup panels.
getPanels() - Method in class weka.gui.explorer.Explorer
returns all the panels, apart from the PreprocessPanel
getParameter() - Method in class weka.core.pmml.jaxbbindings.ParameterList
Gets the value of the parameter property.
getParameterField() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Gets the value of the parameterField property.
getParameterHelp() - Method in class weka.gui.simplecli.AbstractCommand
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Capabilities
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Cls
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Echo
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Exit
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Help
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.History
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Java
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Kill
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Script
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Set
Returns the one-liner help string for the parameters.
getParameterHelp() - Method in class weka.gui.simplecli.Unset
Returns the one-liner help string for the parameters.
getParameterName() - Method in class weka.core.pmml.jaxbbindings.PCell
Gets the value of the parameterName property.
getParameterName() - Method in class weka.core.pmml.jaxbbindings.PPCell
Gets the value of the parameterName property.
getParameterNames() - Method in class weka.core.pmml.BuiltInArithmetic
Returns an array of the names of the parameters expected as input by this function
getParameterNames() - Method in class weka.core.pmml.BuiltInMath
Returns an array of the names of the parameters expected as input by this function.
getParameterNames() - Method in class weka.core.pmml.BuiltInString
Returns an array of the names of the parameters expected as input by this function.
getParameterNames() - Method in class weka.core.pmml.DefineFunction
Returns an array of the names of the parameters expected as input by this function.
getParameterNames() - Method in class weka.core.pmml.Function
Returns an array of the names of the parameters expected as input by this function.
getParent(int, int) - Method in class weka.classifiers.bayes.BayesNet
get node index of a parent of a node in the network structure
getParent(int) - Method in class weka.classifiers.bayes.net.ParentSet
returns index parent of parent specified by index
getParent() - Method in class weka.datagenerators.ClusterDefinition
returns the parent datagenerator this cluster belongs to
getParent(int) - Method in class weka.gui.treevisualizer.Node
Get the parent edge.
getParentCardinality(int) - Method in class weka.classifiers.bayes.BayesNet
get number of values the collection of parents of a node can take
getParentDialog(Container) - Static method in class weka.gui.PropertyDialog
Tries to determine the dialog this panel is part of.
getParentField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
Gets the value of the parentField property.
getParentFrame() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the parent frame, if it's a JFrame, otherwise null
getParentFrame() - Method in class weka.gui.GUIChooserApp.ChildFrameSDI
returns the parent frame, can be null.
getParentFrame() - Method in class weka.gui.Main.ChildFrameMDI
returns the parent frame, can be null.
getParentFrame() - Method in class weka.gui.Main.ChildFrameSDI
returns the parent frame, can be null.
getParentFrame(Container) - Static method in class weka.gui.PropertyDialog
Tries to determine the frame this panel is part of.
getParentFrame() - Method in class weka.gui.SetInstancesPanel
Returns the current frame the panel knows of, that it resides in.
getParentInternalFrame() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the parent frame, if it's a JInternalFrame, otherwise null
getParentInternalFrame(Container) - Static method in class weka.gui.PropertyDialog
Tries to determine the internal frame this panel is part of.
getParentLevelField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
Gets the value of the parentLevelField property.
getParents() - Method in class weka.classifiers.bayes.net.ParentSet
 
getParentSet(int) - Method in class weka.classifiers.bayes.BayesNet
get the parent set of a node
getParentSets() - Method in class weka.classifiers.bayes.BayesNet
Get full set of parent sets.
getPartialScore() - Method in class weka.core.pmml.jaxbbindings.Attribute
Gets the value of the partialScore property.
getPartition() - Method in class weka.core.pmml.jaxbbindings.Cluster
Gets the value of the partition property.
getPartition() - Method in class weka.core.pmml.jaxbbindings.TargetValue
Gets the value of the partition property.
getPartitionFieldStats() - Method in class weka.core.pmml.jaxbbindings.Partition
Gets the value of the partitionFieldStats property.
getPartitionGenerator() - Method in class weka.filters.supervised.attribute.PartitionMembership
Get the generator used by this filter
getPassword() - Method in class weka.core.converters.DatabaseLoader
Returns the database password
getPassword() - Method in class weka.core.converters.DatabaseSaver
Returns the database password.
getPassword() - Method in class weka.experiment.DatabaseUtils
Get the database password.
getPassword() - Method in class weka.gui.DatabaseConnectionDialog
Returns password from dialog
getPassword() - Method in class weka.gui.sql.ConnectionPanel
returns the current Password.
getPassword() - Method in class weka.gui.sql.event.ResultChangedEvent
returns the password that produced the table model
getPassword() - Method in class weka.gui.sql.ResultSetTable
returns the password that produced the table model
getPassword() - Method in class weka.gui.sql.SqlViewer
returns the password from the currently active tab in the ResultPanel, otherwise an empty string.
getPassword() - Method in class weka.gui.sql.SqlViewerDialog
returns the chosen password, if any.
getPasteBuffer() - Method in class weka.gui.beans.KnowledgeFlowApp
Get the contents of the paste buffer
getPasteBuffer() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the contents of the paste buffer
getPath() - Method in class weka.gui.PropertySelectorDialog
Gets the path of property nodes to the selected property.
getPathToWekaJarFile() - Method in class weka.core.WekaPackageClassLoaderManager
Return the path to the weka.jar file (if found) on the classpath.
getPattern() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the pattern type.
getPayloadElement(String) - Method in class weka.knowledgeflow.Data
Get a payload element from this Data object.
getPayloadElement(String, T) - Method in class weka.knowledgeflow.Data
Get a payload element from this Data object.
getPCell() - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
Gets the value of the pCell property.
getPCol() - Method in class weka.core.pmml.jaxbbindings.PCovCell
Gets the value of the pCol property.
getPCovCell() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
Gets the value of the pCovCell property.
getPercent() - Method in class weka.filters.unsupervised.attribute.AddNoise
Gets the size of noise data as a percentage of the original set.
getPercent() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Gets the percent the attributes (dimensions) of the data will be reduced to
getPercentage() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Gets the percentage of instances to select.
getPercentageSplit() - Method in class weka.gui.explorer.ClassifierPanel
Get the percentage to use for percentage split evaluation
getPercentCompleted() - Method in class weka.gui.boundaryvisualizer.RemoteResult
Return the progress for this row
getPerformanceStats() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Gets the class object that contains the performance statistics of the search method.
getPeriod() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Gets the value of the period property.
getPeriodicPruning() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Get how often to prune the dictionary
getPeriodicPruning() - Method in class weka.classifiers.functions.SGDText
Get how often to prune the dictionary
getPeriodicPruning() - Method in class weka.core.converters.DictionarySaver
Gets the rate at which the dictionary is periodically pruned, as a percentage of the dataset size.
getPeriodicPruning() - Method in class weka.core.DictionaryBuilder
Gets the rate (number of instances) at which the dictionary is periodically pruned.
getPeriodicPruning() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets the rate at which the dictionary is periodically pruned, as a percentage of the dataset size.
getPeriodicPruningRate() - Method in class weka.clusterers.Canopy
Get the how often to prune low density canopies during training
getPerspective(String) - Method in class weka.gui.PerspectiveManager
Get the perspective with the given ID
getPerspectiveIcon() - Method in class weka.gui.AbstractPerspective
Get the icon for this perspective
getPerspectiveIcon() - Method in class weka.gui.beans.AttributeSummarizer
Get the icon for this perspective.
getPerspectiveIcon() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
Get the icon for this perspective.
getPerspectiveIcon() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
Get the icon for this perspective
getPerspectiveIcon() - Method in class weka.gui.beans.ScatterPlotMatrix
Get the icon for this perspective.
getPerspectiveIcon() - Method in class weka.gui.beans.SQLViewerPerspective
Get the icon for this perspective.
getPerspectiveIcon() - Method in interface weka.gui.Perspective
Get the icon for this perspective
getPerspectiveIcon() - Method in class weka.gui.SimpleCLIPanel
 
getPerspectiveID() - Method in class weka.gui.AbstractPerspective
Get the ID of this perspective
getPerspectiveID() - Method in interface weka.gui.Perspective
Get the ID of this perspective
getPerspectiveID() - Method in class weka.gui.SimpleCLIPanel
 
getPerspectiveManager() - Method in class weka.gui.AbstractGUIApplication
Get the PerspectiveManager in use by this application
getPerspectiveManager() - Method in interface weka.gui.GUIApplication
Get the PerspectiveManager in use by this application
getPerspectiveManager() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
Get the PerspectiveManager used by this application
getPerspectiveName() - Method in class weka.knowledgeflow.steps.SendToPerspective
 
GetPerspectiveNamesGraphicalCommand - Class in weka.gui.knowledgeflow
Class implementing a command for getting the names of all visible perspectives
GetPerspectiveNamesGraphicalCommand() - Constructor for class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
 
getPerspectivesToolbarAlwaysHidden() - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
Get whether the perspectives toolbar should always be hidden
getPerspectivesToolbarVisibleOnStartup() - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
Get whether the perspectives toolbar should be visible in the GUI at application startup
getPerspectiveTipText() - Method in class weka.gui.AbstractPerspective
Get the tool tip text for this perspective
getPerspectiveTipText() - Method in class weka.gui.beans.AttributeSummarizer
Get the tool tip text for this perspective.
getPerspectiveTipText() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
Get the tool tip text for this perspective.
getPerspectiveTipText() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
Get the tool tip text for this perspective
getPerspectiveTipText() - Method in class weka.gui.beans.ScatterPlotMatrix
Get the tool tip text for this perspective.
getPerspectiveTipText() - Method in class weka.gui.beans.SQLViewerPerspective
Get the tool tip text for this perspective.
getPerspectiveTipText() - Method in interface weka.gui.Perspective
Get the tool tip text for this perspective
getPerspectiveTipText() - Method in class weka.gui.SimpleCLIPanel
 
getPerspectiveTitle() - Method in class weka.gui.AbstractPerspective
Get the title of this perspective
getPerspectiveTitle() - Method in class weka.gui.beans.AttributeSummarizer
Get the title of this perspective
getPerspectiveTitle() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
Get the title of this perspective
getPerspectiveTitle() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
Get the title of this perspective
getPerspectiveTitle() - Method in class weka.gui.beans.ScatterPlotMatrix
Get the title of this perspective
getPerspectiveTitle() - Method in class weka.gui.beans.SQLViewerPerspective
Get the title of this perspective
getPerspectiveTitle() - Method in interface weka.gui.Perspective
Get the title of this perspective
getPerspectiveTitle() - Method in class weka.gui.SimpleCLIPanel
 
getPerspectiveToolBar() - Method in class weka.gui.PerspectiveManager
Get the panel that contains the perspectives toolbar
getPerturbationFraction() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Gets the perturbation fraction.
getPhase() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Gets the value of the phase property.
getPhi() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Gets the value of the phi property.
getPickList() - Method in class weka.core.Settings.SettingKey
Get the optional pick list for the setting
getPivot() - Method in class weka.core.matrix.LUDecomposition
Return pivot permutation vector
getPivot() - Method in class weka.core.neighboursearch.balltrees.BallNode
Returns the pivot/centre of the node's ball.
getPlainColumnName(int) - Method in class weka.gui.arffviewer.ArffTable
returns the basically the attribute name of the column and not the HTML column name via getColumnName(int)
getPlainTitle() - Method in class weka.gui.scripting.FileScriptingPanel
Returns the title (without the filename).
getPlainTitle() - Method in class weka.gui.scripting.GroovyPanel
Returns the title (without the filename).
getPlainTitle() - Method in class weka.gui.scripting.JythonPanel
Returns the title (without the filename).
getPlotData(String) - Method in class weka.gui.explorer.AbstractPlotInstances
Assembles and returns the plot.
getPlotInstances() - Method in class weka.gui.explorer.AbstractPlotInstances
Returns the generated plot instances.
getPlotInstances() - Method in class weka.gui.visualize.PlotData2D
Returns the instances for this plot
getPlotName() - Method in class weka.gui.visualize.PlotData2D
Get the name of this plot
getPlotNameHTML() - Method in class weka.gui.visualize.PlotData2D
Get the name of the plot for use in a tool tip text.
getPlotPanel() - Method in class weka.gui.visualize.VisualizePanel
Returns the underlying plot panel.
getPlots() - Method in class weka.gui.visualize.Plot2D
Return the list of plots
getPlots() - Method in class weka.knowledgeflow.steps.DataVisualizer
 
getPlots() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Get the plots currently stored in this step
getPlotShapes() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Get the vector of plot shapes (see weka.gui.visualize.Plot2D).
getPlotSizes() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Get the vector of plot sizes (see weka.gui.visualize.Plot2D).
getPlotTrainingData() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Returns true if training data is to be superimposed
getPlotTrainingData() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get whether to superimpose the training data points on the plot or not
getPluginInstance(String, String) - Static method in class weka.core.PluginManager
Get an instance of a concrete implementation of a plugin type
getPluginInstance(String, String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Get an instance of a concrete implementation of a plugin type
getPluginMetric(String) - Method in class weka.classifiers.evaluation.Evaluation
Get the named plugin evaluation metric
getPluginMetric(String) - Method in class weka.classifiers.Evaluation
Get the named plugin evaluation metric
getPluginMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
Get a list of plugin metric names
getPluginMetrics() - Static method in class weka.classifiers.evaluation.AbstractEvaluationMetric
Gets a list of freshly instantiated concrete implementations of available plugin metrics or null if there are no plugin metrics available
getPluginMetrics() - Method in class weka.classifiers.evaluation.Evaluation
Returns the list of plugin metrics in use (or null if there are none)
getPluginMetrics() - Method in class weka.classifiers.Evaluation
Returns the list of plugin metrics in use (or null if there are none)
getPluginNamesOfType(String) - Static method in class weka.core.PluginManager
Get a set of names of plugins that implement the supplied interface.
getPluginNamesOfType(String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Get a set of names of plugins that implement the supplied interface.
getPluginNamesOfTypeList(String) - Static method in class weka.core.PluginManager
Get a sorted list of names of plugins that implement the supplied interface.
getPluginResourceAsStream(String, String) - Static method in class weka.core.PluginManager
Get an input stream for a named resource under a given resource group ID.
getPluginResourceAsStream(String, String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Get an input stream for a named resource under a given resource group ID.
getPluginTemplateDescriptions() - Method in class weka.gui.knowledgeflow.TemplateManager
Get descriptions for plugin knowledge flow templates
getPluginTemplateFlow(String) - Method in class weka.gui.knowledgeflow.TemplateManager
Get the plugin template flow corresponding to the description
getPMMLModel(String) - Static method in class weka.core.pmml.PMMLFactory
Read and return a PMML model.
getPMMLModel(File) - Static method in class weka.core.pmml.PMMLFactory
Read and return a PMML model.
getPMMLModel(InputStream) - Static method in class weka.core.pmml.PMMLFactory
Read and return a PMML model.
getPMMLModel(String, Logger) - Static method in class weka.core.pmml.PMMLFactory
Read and return a PMML model.
getPMMLModel(File, Logger) - Static method in class weka.core.pmml.PMMLFactory
Read and return a PMML model.
getPMMLModel(InputStream, Logger) - Static method in class weka.core.pmml.PMMLFactory
Read and return a PMML model.
getPMMLVersion() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Get the PMML version used for this model.
getPMMLVersion() - Method in interface weka.core.pmml.PMMLModel
Get the version of PMML used to encode this model.
getPointSizeProportionalToMargin() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Get whether the point size should be proportional to the prediction margin (classification only).
getPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
Gets the value of the poissonDistribution property.
getPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
Gets the value of the poissonDistribution property.
getPoolSize() - Method in class weka.attributeSelection.CfsSubsetEval
Gets the number of threads.
getPoolSize() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Gets the number of threads.
getPoolSize() - Method in class weka.classifiers.meta.LogitBoost
Gets the number of threads.
getPopulationSize() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
getPopulationSize() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
getPopup() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
returns the currently set JPopupMenu.
getPositionX(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
get x position of a node
getPositionY(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
get y position of a node
getPositiveIndex() - Method in class weka.associations.FPGrowth
Get the index of the attribute value to consider as positive for binary attributes in normal dense instances.
getPositiveTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.ROC
Gets the value of the positiveTargetFieldDisplayValue property.
getPositiveTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.ROC
Gets the value of the positiveTargetFieldValue property.
getPossibleSplits(SplitMetric) - Method in class weka.classifiers.trees.ht.ActiveHNode
Returns a list of split candidates
getPostProcessor() - Method in class weka.core.CheckScheme
returns the current PostProcessor, can be null
getPostProcessor() - Method in class weka.estimators.CheckEstimator
returns the current PostProcessor, can be null
getPParameter() - Method in class weka.core.pmml.jaxbbindings.Minkowski
Gets the value of the pParameter property.
getPPCell() - Method in class weka.core.pmml.jaxbbindings.PPMatrix
Gets the value of the ppCell property.
getPRCArea(Instances) - Static method in class weka.classifiers.evaluation.ThresholdCurve
Calculates the area under the precision-recall curve (AUPRC).
getPreBuiltClassifiers() - Method in class weka.classifiers.meta.Vote
Get the paths to pre-built serialized classifiers to load and include in the ensemble
getPrecision() - Method in class weka.classifiers.evaluation.TwoClassStats
Calculate the precision.
getPrecision() - Method in class weka.core.pmml.jaxbbindings.VerificationField
Gets the value of the precision property.
getPrecision() - Method in class weka.estimators.KernelEstimator
Return the precision of this kernel estimator.
getPrecision() - Method in class weka.estimators.NormalEstimator
Return the value of the precision of this normal estimator.
getPrecludedPackages(List<Package>) - Method in class weka.core.packageManagement.DefaultPackage
Compares this package's precluded list (if any) against the list of supplied packages.
getPrecludedPackages(List<Package>) - Method in class weka.core.packageManagement.Package
Compares this package's precluded list (if any) against the list of supplied packages.
getPreComputeCorrelationMatrix() - Method in class weka.attributeSelection.CfsSubsetEval
Get whether to pre-compute the full correlation matrix at the outset, rather than computing individual correlations lazily (as needed) during the search.
getPrediction(Classifier, Instance) - Method in class weka.classifiers.evaluation.EvaluationUtils
Generate a single prediction for a test instance given the pre-trained classifier.
getPredictions() - Method in class weka.classifiers.evaluation.output.prediction.InMemory
Returns the collected predictions.
getPredictiveModelQuality() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
Gets the value of the predictiveModelQuality property.
getPredictor() - Method in class weka.core.pmml.jaxbbindings.CovariateList
Gets the value of the predictor property.
getPredictor() - Method in class weka.core.pmml.jaxbbindings.FactorList
Gets the value of the predictor property.
getPredictorName() - Method in class weka.core.pmml.jaxbbindings.PPCell
Gets the value of the predictorName property.
getPredictorTerm() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
Gets the value of the predictorTerm property.
getPredTargetColumn() - Method in class weka.experiment.ClassifierSplitEvaluator
 
getPreferredScrollableViewportSize() - Method in class weka.gui.AttributeSelectionPanel
 
getPrefix() - Method in class weka.gui.beans.SerializedModelSaver
Get the prefix to prepend to the model file names.
getPremise() - Method in class weka.associations.AssociationRule
Get the premise of this rule.
getPremise() - Method in class weka.associations.DefaultAssociationRule
 
getPremiseSupport() - Method in class weka.associations.AssociationRule
Get the support for the premise.
getPremiseSupport() - Method in class weka.associations.DefaultAssociationRule
 
getPreprocessing() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Gets the filter used for preprocessing
getPreprocessPanel() - Method in class weka.gui.explorer.Explorer
returns the instance of the PreprocessPanel being used in this instance of the Explorer
getPreserveInstancesOrder() - Method in class weka.clusterers.SimpleKMeans
Gets whether order of instances must be preserved.
getPreserveOrder() - Method in class weka.gui.beans.CrossValidationFoldMaker
Returns true if the order of the incoming instances is to be preserved under cross-validation (no randomization or stratification is done in this case).
getPreserveOrder() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Get whether to preserve the order of the input instances when creatinbg the folds
getPreserveOrder() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Get whether to preserve the order of the instances or not
getPreserveOrderInPercentageSplitEvaluation() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the value of PreserveOrderInPercentageSplitEvaluation.
getPrimaryMetricName() - Method in class weka.associations.AssociationRule
Get the name of the primary metric of this rule (e.g.
getPrimaryMetricName() - Method in class weka.associations.DefaultAssociationRule
 
getPrimaryMetricValue() - Method in class weka.associations.AssociationRule
Get the value of the metric for this rule.
getPrimaryMetricValue() - Method in class weka.associations.DefaultAssociationRule
 
getPrimaryPayload() - Method in class weka.knowledgeflow.Data
Get the primary payload of this data object (i.e.
getPrintClassifiers() - Method in class weka.classifiers.meta.Bagging
Get whether to print the individual ensemble classifiers in the output
getPrintColNames() - Method in class weka.experiment.ResultMatrix
returns whether column names or numbers instead are printed.
getPrintLeafModels() - Method in class weka.classifiers.trees.HoeffdingTree
 
getPrintNewick() - Method in class weka.clusterers.HierarchicalClusterer
 
getPrintRowNames() - Method in class weka.experiment.ResultMatrix
returns whether row names or numbers instead are printed.
getPriorProbability() - Method in class weka.core.pmml.jaxbbindings.TargetValue
Gets the value of the priorProbability property.
getPriorProbability(String) - Method in class weka.core.pmml.TargetMetaInfo
Get the prior probability for the supplied value.
getProbabilities() - Method in class weka.gui.boundaryvisualizer.RemoteResult
Return the probability distributions for this row in the visualization
getProbability(int, int, int) - Method in class weka.classifiers.bayes.BayesNet
get particular probability of the conditional probability distribtion of a node given its parents.
getProbability(double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Get a probability estimate for a value
getProbability() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Gets the value of the probability property.
getProbability(double, double) - Method in interface weka.estimators.ConditionalEstimator
Get a probability for a value conditional on another value
getProbability(double, double) - Method in class weka.estimators.DDConditionalEstimator
Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.DiscreteEstimator
Get a probability estimate for a value
getProbability(double, double) - Method in class weka.estimators.DKConditionalEstimator
Get a probability estimate for a value
getProbability(double, double) - Method in class weka.estimators.DNConditionalEstimator
Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.Estimator
Get a probability estimate for a value.
getProbability(double, double) - Method in class weka.estimators.KDConditionalEstimator
Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.KernelEstimator
Get a probability estimate for a value.
getProbability(double, double) - Method in class weka.estimators.KKConditionalEstimator
Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.MahalanobisEstimator
Get a probability estimate for a value
getProbability(double, double) - Method in class weka.estimators.NDConditionalEstimator
Get a probability estimate for a value
getProbability(double, double) - Method in class weka.estimators.NNConditionalEstimator
Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.NormalEstimator
Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.PoissonEstimator
Get a probability estimate for a value
getProbability() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Get the probability.
getProducer() - Method in class weka.associations.AssociationRules
Get a string describing the scheme that produced these rules.
getProgressBar() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
Returns a handle to the progressBar of this LayoutEngine.
getProgressBar() - Method in interface weka.gui.graphvisualizer.LayoutEngine
This method returns the progress bar for the LayoutEngine, which shows the progress of the layout process, if it takes a while to layout the graph
getProlog() - Method in class weka.core.OptionHandlerJavadoc
whether "Valid options are..." prolog is included in the Javadoc
getProlog() - Method in class weka.core.TechnicalInformationHandlerJavadoc
whether "Valid options are..." prolog is included in the Javadoc
getPrologue() - Method in class weka.datagenerators.DataGenerator
Gets the prologue string.
getProperties() - Method in class weka.core.converters.DatabaseConnection
Returns the underlying properties object.
getProperties() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the associated properties file.
getProperties() - Static method in class weka.gui.explorer.ExplorerDefaults
returns the associated properties file.
getProperty(String) - Method in class weka.core.EnvironmentProperties
 
getProperty() - Method in class weka.core.pmml.FieldMetaInfo.Value
 
getProperty() - Method in class weka.core.pmml.jaxbbindings.Value
Gets the value of the property property.
getPropertyArray() - Method in class weka.experiment.Experiment
Gets the array of values to set the custom property to.
getPropertyArrayLength() - Method in class weka.experiment.Experiment
Gets the number of custom iterator values that have been defined for the experiment.
getPropertyArrayValue(int) - Method in class weka.experiment.Experiment
Gets a specified value from the custom property iterator array.
getPropertyDescriptor(Object, PropertyPath.Path) - Static method in class weka.core.PropertyPath
returns the property associated with the given path, null if a problem occurred.
getPropertyDescriptor(Object, String) - Static method in class weka.core.PropertyPath
returns the property associated with the given path
getPropertyDescriptors() - Method in class weka.classifiers.misc.InputMappedClassifierBeanInfo
Get an array of PropertyDescriptors for the InputMappedClassifier's public properties.
getPropertyDescriptors() - Method in class weka.gui.beans.ClassAssignerBeanInfo
Returns the property descriptors
getPropertyDescriptors() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
Get the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
Returns the property descriptors
getPropertyDescriptors() - Method in class weka.gui.beans.CrossValidationFoldMakerBeanInfo
Return the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
Return the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
Return the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.StripChartBeanInfo
Get the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.TrainTestSplitMakerBeanInfo
Get the property descriptors for this bean
getPropertyGroupingCategory() - Method in class weka.gui.PropertySheetPanel
 
getPropertyPath() - Method in class weka.experiment.Experiment
Gets the path of properties taken to get to the custom property to iterate over.
getPropsInternalRep() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
getPRow() - Method in class weka.core.pmml.jaxbbindings.PCovCell
Gets the value of the pRow property.
getProxy() - Method in class weka.core.packageManagement.PackageManager
Get the proxy in use.
getPruningMethod() - Method in class weka.classifiers.functions.supportVector.StringKernel
Gets the method used for pruning.
getPValue() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Gets the value of the pValue property.
getPValueAlpha() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the pValueAlpha property.
getPValueFinal() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the pValueFinal property.
getPValueInitial() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the pValueInitial property.
getQ() - Method in class weka.core.matrix.QRDecomposition
Generate and return the (economy-sized) orthogonal factor
getQuality() - Method in class weka.gui.visualize.JPEGWriter
returns the quality the JPEG will be stored in.
getQuantile() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Gets the value of the quantile property.
getQuantileLimit() - Method in class weka.core.pmml.jaxbbindings.Quantile
Gets the value of the quantileLimit property.
getQuantileValue() - Method in class weka.core.pmml.jaxbbindings.Quantile
Gets the value of the quantileValue property.
getQuery() - Method in class weka.core.converters.DatabaseLoader
Gets the query to execute against the database
getQuery() - Method in class weka.experiment.InstanceQuery
Get the query to execute against the database
getQuery() - Method in class weka.gui.sql.event.QueryExecuteEvent
returns the query that was executed
getQuery() - Method in class weka.gui.sql.event.ResultChangedEvent
returns the query that was executed
getQuery() - Method in class weka.gui.sql.QueryPanel
returns the currently displayed query.
getQuery() - Method in class weka.gui.sql.ResultSetTable
returns the query that produced the table model
getQuery() - Method in class weka.gui.sql.SqlViewer
returns the query from the currently active tab in the ResultPanel, otherwise an empty string.
getQuery() - Method in class weka.gui.sql.SqlViewerDialog
returns the chosen query, if any.
getQueryPanel() - Method in class weka.gui.sql.ResultPanel
returns the currently set QueryPanel, can be NULL
getQuoteDelimiters() - Method in class weka.gui.scripting.SyntaxDocument
Returns the quote delimiter characters to use.
getQuoteEscape() - Method in class weka.gui.scripting.SyntaxDocument
Returns the character for escaping a quote delimiter.
getR() - Method in class weka.core.matrix.QRDecomposition
Return the upper triangular factor
getRadius() - Method in class weka.core.neighboursearch.balltrees.BallNode
Returns the radius of the node's ball.
getRaiseExceptionOnCommandFailure() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get to raise an exception when a command fails completely (i.e.
getRandom() - Method in class weka.datagenerators.DataGenerator
Gets the random generator.
getRandomizeData() - Method in class weka.experiment.ExplicitTestsetResultProducer
Get if dataset is to be randomized.
getRandomizeData() - Method in class weka.experiment.RandomSplitResultProducer
Get if dataset is to be randomized
getRandomLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
Gets the value of the randomLiftGraph property.
getRandomNumberGenerator(long) - Method in class weka.core.Instances
Returns a random number generator.
getRandomOrder() - Method in class weka.classifiers.bayes.net.search.global.K2
Get random order flag
getRandomOrder() - Method in class weka.classifiers.bayes.net.search.local.K2
Get random order flag
getRandomSeed() - Method in class weka.classifiers.functions.SMO
Get the value of randomSeed.
getRandomSeed() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Returns the seed value of random number generator.
getRandomSeed() - Method in class weka.filters.supervised.instance.Resample
Gets the random number seed.
getRandomSeed() - Method in class weka.filters.supervised.instance.SpreadSubsample
Gets the random number seed.
getRandomSeed() - Method in class weka.filters.unsupervised.attribute.AddNoise
Gets the random number seed.
getRandomSeed() - Method in class weka.filters.unsupervised.instance.Randomize
Get the random number generator seed value.
getRandomSeed() - Method in class weka.filters.unsupervised.instance.Resample
Gets the random number seed.
getRandomSeed() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Gets the random number seed.
getRandomSeed() - Method in class weka.gui.explorer.ClassifierPanel
Get the random seed
getRandomWidthFactor() - Method in class weka.classifiers.meta.MultiClassClassifier
Gets the multiplier when generating random codes.
getRange() - Method in class weka.core.InstanceComparator
Returns the attribute range to use in the comparison.
getRange(int) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Gets a single Range from the set of available Ranges.
getRanges() - Method in class weka.core.NormalizableDistance
Method to get the ranges.
getRanges() - Method in class weka.core.Range
Gets the string representing the selected range of values.
getRanges() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Gets the list of possible Ranges to choose from.
getRank() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the rank property.
getRankBasis() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the rankBasis property.
getRankingQuality() - Method in class weka.core.pmml.jaxbbindings.LiftData
Gets the value of the rankingQuality property.
getRankOrder() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the rankOrder property.
getRawOutput() - Method in class weka.experiment.CrossValidationResultProducer
Get if raw split evaluator output is to be saved
getRawOutput() - Method in class weka.experiment.ExplicitTestsetResultProducer
Get if raw split evaluator output is to be saved.
getRawOutput() - Method in class weka.experiment.RandomSplitResultProducer
Get if raw split evaluator output is to be saved
getRawResultOutput() - Method in class weka.experiment.ClassifierSplitEvaluator
Gets the raw output from the classifier
getRawResultOutput() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Gets the raw output from the classifier
getRawResultOutput() - Method in class weka.experiment.RegressionSplitEvaluator
Gets the raw output from the classifier
getRawResultOutput() - Method in interface weka.experiment.SplitEvaluator
Returns the raw output for the most recent call to getResult.
getReadable() - Method in class weka.core.Tag
Gets the string description of the Tag.
getReader(String, String) - Static method in class weka.gui.Loader
returns a Reader for the given filename and dir, can be NULL if it fails
getReader(String) - Method in class weka.gui.Loader
returns a Reader for the given filename, can be NULL if it fails
getReadIncrementally() - Method in class weka.gui.SetInstancesPanel
Gets whether instances are to be read incrementally or not.
getRealEigenvalues() - Method in class weka.core.matrix.EigenvalueDecomposition
Return the real parts of the eigenvalues
getREALEntries() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
Gets the value of the realEntries property.
getREALSparseArray() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
Gets the value of the realSparseArray property.
getReasonCode() - Method in class weka.core.pmml.jaxbbindings.Attribute
Gets the value of the reasonCode property.
getReasonCode() - Method in class weka.core.pmml.jaxbbindings.Characteristic
Gets the value of the reasonCode property.
getReasonCodeAlgorithm() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the reasonCodeAlgorithm property.
getRecall() - Method in class weka.classifiers.evaluation.TwoClassStats
Calculate the recall.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.Node
Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.RuleSet
Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Gets the value of the recordCount property.
getReducedErrorPruning() - Method in class weka.classifiers.rules.PART
Get the value of reducedErrorPruning.
getReducedErrorPruning() - Method in class weka.classifiers.trees.J48
Get the value of reducedErrorPruning.
getReduceNumberOfDistanceCalcsViaCanopies() - Method in class weka.clusterers.SimpleKMeans
Get whether to use canopies to reduce the number of distance computations required
getRefer() - Method in class weka.gui.treevisualizer.Node
Get the value of refer.
getReferencePoint() - Method in class weka.core.pmml.jaxbbindings.Parameter
Gets the value of the referencePoint property.
getRefreshFreq() - Method in class weka.gui.beans.StripChart
Get the refresh frequency
getRefreshFreq() - Method in class weka.knowledgeflow.steps.StripChart
Get the refresh frequency
getRefreshWidth() - Method in class weka.gui.beans.StripChart
Get how many pixels to shift the plot by every time a point is plotted
getRefreshWidth() - Method in class weka.knowledgeflow.steps.StripChart
Get how many pixels to shift the plot by every time a point is plotted
getRegex() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Get whether this is a regular expression match or not
getRegex() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Get whether this is a regular expression match or not
getRegexMatch() - Method in class weka.filters.RenameRelation
Get the match string for regex modifications
getRegexMatch() - Method in class weka.knowledgeflow.steps.AlterRelationName
Get the match string for regex modifications
getRegOptimizer() - Method in class weka.classifiers.functions.SMOreg
returns the learning algorithm
getRegressionModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the regressionModel property.
getRegressionTable() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the regressionTable property.
getRegressionTree() - Method in class weka.classifiers.trees.m5.Rule
Get the value of regressionTree.
getRegressionTree() - Method in class weka.classifiers.trees.m5.RuleNode
Get the value of regressionTree.
getRelation() - Method in class weka.core.TestInstances
returns the current name of the relation
getRelationalClassFormat() - Method in class weka.core.TestInstances
returns the current strcuture of the relational class attribute, can be null
getRelationalFormat(int) - Method in class weka.core.TestInstances
returns the format for the specified relational attribute, can be null
getRelationFind() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the currently set regular expression to use on the relation name.
getRelationForTableName() - Method in class weka.core.converters.DatabaseSaver
Gets whether or not the relation name is used as name of the table.
getRelationName() - Method in class weka.datagenerators.DataGenerator
Gets the relation name the dataset should have.
getRelationNameForFilename() - Method in class weka.gui.beans.Saver
Get whether the relation name is the primary part of the filename.
getRelationNameForFilename() - Method in class weka.knowledgeflow.steps.Saver
Get whether the relation name is the primary part of the filename.
getRelationReplace() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the currently set replacement string to use on the relation name.
getRemoteHosts() - Method in class weka.experiment.RemoteExperiment
Get the list of remote host names
getRemoveAllMissingCols() - Method in class weka.associations.Apriori
Returns whether columns containing all missing values are to be removed
getRemoveClassColumn() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Get whether the class column is to be removed.
getRemoveFilter() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Get the remove filter in use
getRemoveFilterClassnames() - Static method in class weka.gui.experiment.ExperimenterDefaults
whether the filter classnames in the dataset names are removed by default.
getRemoveFilterName() - Method in class weka.experiment.ResultMatrix
returns whether the filter classname is removed from the dataset name.
getRemoveOldClass() - Method in class weka.filters.supervised.attribute.AddClassification
Get whether the old class attribute is removed.
getRemoveUnused() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Gets whether unused attributes (ones that are not covered by any of the ranges) are removed from the output.
getRenderingHint(RenderingHints.Key) - Method in class weka.gui.visualize.PostscriptGraphics
 
getRenderingHints() - Method in class weka.gui.visualize.PostscriptGraphics
 
getRepetitions() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the number of repetitions to use.
getReplace() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the regular expression to replace matching attribute names with.
getReplace() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Get the replace string
getReplaceAll() - Method in class weka.filters.RenameRelation
Get whether to replace all regular expression matches, or just the first.
getReplaceAll() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns whether all occurrences are replaced or just the first one.
getReplaceAll() - Method in class weka.knowledgeflow.steps.AlterRelationName
Get whether to replace all regular expression matches, or just the first.
getReplaceMissingValues() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Gets the current setting for using ReplaceMissingValues filter
getRepositoryPackageInfo(String) - Method in class weka.core.packageManagement.DefaultPackageManager
Get package information on the named package from the repository.
getRepositoryPackageInfo(String, Object) - Method in class weka.core.packageManagement.DefaultPackageManager
Get package information on the named package from the repository.
getRepositoryPackageInfo(String) - Method in class weka.core.packageManagement.PackageManager
Get package information on the named package from the repository.
getRepositoryPackageInfo(String, Object) - Method in class weka.core.packageManagement.PackageManager
Get package information on the named package from the repository.
getRepositoryPackageInfo(String) - Static method in class weka.core.WekaPackageManager
Get meta data for the latest version of a package from the repository
getRepositoryPackageInfo(String, String) - Static method in class weka.core.WekaPackageManager
Get meta data for a specific version of a package from the repository
getRepositoryPackageMetaDataOnlyAsZip(PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
Gets an array of bytes containing a zip of all the repository meta data and supporting files.
getRepositoryPackageMetaDataOnlyAsZip(PrintStream...) - Method in class weka.core.packageManagement.PackageManager
Gets an array of bytes containing a zip of all the repository meta data and supporting files.
getRepositoryPackageMetaDataOnlyAsZipLegacy(PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
Gets an array of bytes containing a zip of all the repository meta data and supporting files using the legacy approach.
getRepositoryPackageVersions(String) - Method in class weka.core.packageManagement.DefaultPackageManager
Get a list of available versions of the named package.
getRepositoryPackageVersions(String) - Method in class weka.core.packageManagement.PackageManager
Get a list of available versions of the named package.
getRepositoryPackageVersions(String) - Static method in class weka.core.WekaPackageManager
Get the versions of the supplied package available on the server
getRepresentCopiesUsingWeights() - Method in class weka.classifiers.meta.Bagging
Get whether copies of instances are represented using weights rather than explicitly.
getRescaleConstant() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the rescaleConstant property.
getRescaleFactor() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the rescaleFactor property.
getReset() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getReset() - Method in class weka.gui.beans.ChartEvent
get the value of the reset flag
getResetIncrementalClassifier() - Method in class weka.gui.beans.Classifier
Get whether to reset (by calling buildClassifier()) an incremental classifier, and thus discarding any previously learned model, before processing the first instance in the incoming stream.
getResetIncrementalClassifier() - Method in class weka.knowledgeflow.steps.Classifier
Get whether to reset an incremental classifier at the start of an incoming instance stream
getResetValue() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the resetValue property.
getResolvedName() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the name of the attribute after substituting any environment variables
getResolvedType() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the type of the attribute after substituting any environment variables
getResolvedValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the value of the attribute after substituting any environment variables
getResource(String) - Method in class weka.core.WekaPackageLibIsolatingClassLoader
Find a named resource.
getResources(String) - Method in class weka.core.WekaPackageLibIsolatingClassLoader
Find an enumeration of resources matching the supplied name.
getResourcesWithGroupID(String) - Static method in class weka.core.PluginManager
Get a map of resources (description,path) registered under a given resource group ID.
getResourcesWithGroupID(String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Get a map of resources (description,path) registered under a given resource group ID.
getResult() - Method in class weka.core.json.Parser
Returns the JSON data structure.
getResult(double[]) - Method in class weka.core.pmml.BuiltInArithmetic
Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.BuiltInMath
Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.BuiltInString
Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.Constant
Get the result of evaluating the expression.
getResult(double[]) - Method in class weka.core.pmml.DefineFunction
Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.Discretize
Get the result of evaluating the expression.
getResult(double[]) - Method in class weka.core.pmml.Expression
Get the result of evaluating the expression.
getResult(double[]) - Method in class weka.core.pmml.FieldRef
 
getResult(double[]) - Method in class weka.core.pmml.Function
Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.NormContinuous
Get the result of evaluating the expression.
getResult(double[]) - Method in class weka.core.pmml.NormDiscrete
Get the result of evaluating the expression.
getResult(Instances, Instances) - Method in class weka.experiment.ClassifierSplitEvaluator
Gets the results for the supplied train and test datasets.
getResult(Instances, Instances) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Gets the results for the supplied train and test datasets.
getResult(Instances, Instances) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Gets the results for the supplied train and test datasets.
getResult(Instances, Instances) - Method in class weka.experiment.RegressionSplitEvaluator
Gets the results for the supplied train and test datasets.
getResult(Instances, Instances) - Method in interface weka.experiment.SplitEvaluator
Gets the results for the supplied train and test datasets.
getResult() - Method in class weka.gui.experiment.OutputFormatDialog
the result from the last display of the dialog, the same is returned from showDialog.
getResult() - Method in class weka.knowledgeflow.ExecutionResult
Get the result generated by the StepTask
getResultCategorical(double[]) - Method in class weka.core.pmml.Constant
Gets the result of evaluating the expression when the optype is categorical or ordinal as the actual String value.
getResultCategorical(double[]) - Method in class weka.core.pmml.Discretize
Gets the result of evaluating the expression when the optype is categorical or ordinal as the actual String value.
getResultCategorical(double[]) - Method in class weka.core.pmml.Expression
Gets the result of evaluating the expression when the optype is categorical or ordinal as the actual String value.
getResultCategorical(double[]) - Method in class weka.core.pmml.FieldRef
 
getResultCategorical(double[]) - Method in class weka.core.pmml.NormContinuous
Always throws an Exception since the result of NormContinuous must be continuous.
getResultCategorical(double[]) - Method in class weka.core.pmml.NormDiscrete
Always throws an Exception since the result of NormDiscrete must be continuous.
getResultContinuous(double[]) - Method in class weka.core.pmml.Expression
Get the result of evaluating the expression for continuous optype.
getResultData() - Method in class weka.knowledgeflow.JobEnvironment
Get a map of all the result data objects
getResultDataOfType(String) - Method in class weka.knowledgeflow.JobEnvironment
Get a list of any result data objects of the supplied connection type
getResultField() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the resultField property.
getResultField() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the resultField property.
getResultFromTable(String, ResultProducer, Object[]) - Method in class weka.experiment.DatabaseUtils
Executes a database query to extract a result for the supplied key from the database.
getResultHistory() - Method in class weka.gui.explorer.ClassifierPanel
Get the result history panel
getResultInverse(double[]) - Method in class weka.core.pmml.NormContinuous
Compute the inverse of the normalization (i.e.
getResultListener() - Method in class weka.experiment.Experiment
Gets the result listener where results will be sent.
getResultMatrix() - Method in class weka.experiment.PairedTTester
Gets the instance that produces the output.
getResultMatrix() - Method in interface weka.experiment.Tester
Gets the instance that produces the output.
getResultMatrix() - Method in class weka.gui.experiment.OutputFormatDialog
Gets the currently selected output format result matrix.
getResultNames() - Method in class weka.experiment.AveragingResultProducer
Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.ClassifierSplitEvaluator
Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in class weka.experiment.CrossValidationResultProducer
Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.DatabaseResultProducer
Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.LearningRateResultProducer
Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.RandomSplitResultProducer
Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.RegressionSplitEvaluator
Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in interface weka.experiment.ResultProducer
Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in interface weka.experiment.SplitEvaluator
Gets the names of each of the result columns produced for a single run.
getResultProducer() - Method in class weka.experiment.AveragingResultProducer
Get the ResultProducer.
getResultProducer() - Method in class weka.experiment.DatabaseResultProducer
Get the ResultProducer.
getResultProducer() - Method in class weka.experiment.Experiment
Get the result producer used for the current experiment.
getResultProducer() - Method in class weka.experiment.LearningRateResultProducer
Get the ResultProducer.
getResults() - Method in class weka.knowledgeflow.steps.TextViewer
Get the textual results stored in this step
getResultSet() - Method in class weka.experiment.DatabaseUtils
Gets the results generated by a previous query.
getResultSet() - Method in class weka.gui.sql.event.QueryExecuteEvent
returns the resultset that was produced, can be null in case the query failed
getResultSet() - Method in class weka.gui.sql.ResultSetHelper
the underlying resultset.
getResultsetKeyColumns() - Method in class weka.experiment.PairedTTester
Get the value of ResultsetKeyColumns.
getResultsetKeyColumns() - Method in interface weka.experiment.Tester
Get the value of ResultsetKeyColumns.
getResultsetName(int) - Method in class weka.experiment.PairedTTester
Gets a string descriptive of the specified resultset.
getResultsetName(int) - Method in interface weka.experiment.Tester
Gets a string descriptive of the specified resultset.
getResultsTableName(ResultProducer) - Method in class weka.experiment.DatabaseUtils
Gets the name of the experiment table that stores results from a particular ResultProducer.
getResultTypes() - Method in class weka.experiment.AveragingResultProducer
Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.ClassifierSplitEvaluator
Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in class weka.experiment.CrossValidationResultProducer
Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.DatabaseResultProducer
Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.LearningRateResultProducer
Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.RandomSplitResultProducer
Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.RegressionSplitEvaluator
Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in interface weka.experiment.ResultProducer
Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in interface weka.experiment.SplitEvaluator
Gets the data types of each of the result columns produced for a single run.
getResume() - Method in class weka.classifiers.functions.MultilayerPerceptron
Returns true if the model is to be finalized (or has been finalized) after training.
getResume() - Method in interface weka.classifiers.IterativeClassifier
Returns true if the classifier will be able to be trained further (with more iterations) at a later date.
getResume() - Method in class weka.classifiers.meta.AdaBoostM1
Returns true if the model is to be finalized (or has been finalized) after training.
getResume() - Method in class weka.classifiers.meta.AdditiveRegression
Returns true if the model is to be finalized (or has been finalized) after training.
getResume() - Method in class weka.classifiers.meta.FilteredClassifier
Returns true if the model is to be finalized (or has been finalized) after training.
getResume() - Method in class weka.classifiers.meta.LogitBoost
Returns true if the model is to be finalized (or has been finalized) after training.
getRetainStringVals() - Method in class weka.core.converters.ArffLoader
Get whether to retain the values of string attributes in memory (in the header) when reading incrementally.
getRetainStringValues() - Method in class weka.core.converters.ArffLoader.ArffReader
Get whether to retain the values of string attributes in memory (in the header) when reading incrementally.
getReturnValue() - Method in class weka.gui.DatabaseConnectionDialog
Returns which of OK or cancel was clicked from dialog
getReturnValue() - Method in class weka.gui.sql.SqlViewerDialog
returns whether the user clicked OK (JOptionPane.OK_OPTION) or whether he cancelled the dialog (JOptionPane.CANCEL_OPTION).
getRevision() - Method in class weka.associations.AbstractAssociator
Returns the revision string.
getRevision() - Method in class weka.associations.Apriori
Returns the revision string.
getRevision() - Method in class weka.associations.AprioriItemSet
Returns the revision string.
getRevision() - Method in class weka.associations.AssociatorEvaluation
Returns the revision string.
getRevision() - Method in class weka.associations.CheckAssociator
Returns the revision string.
getRevision() - Method in class weka.associations.FilteredAssociator
Returns the revision string.
getRevision() - Method in class weka.associations.FPGrowth
Returns the revision string.
getRevision() - Method in class weka.associations.ItemSet
Returns the revision string.
getRevision() - Method in class weka.associations.LabeledItemSet
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.ASEvaluation
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.ASSearch
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.AttributeSelection
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.BestFirst
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.BestFirst.Link2
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.BestFirst.LinkedList2
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.CfsSubsetEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.CheckAttributeSelection
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.CorrelationAttributeEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.GainRatioAttributeEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.GreedyStepwise
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.InfoGainAttributeEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.OneRAttributeEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.PrincipalComponents
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.Ranker
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Returns the revision string.
getRevision() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns the revision string.
getRevision() - Method in class weka.classifiers.AbstractClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.BayesNet
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayes
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.ADNode
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.BIFReader
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.EditableBayesNet
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.ParentSet
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.K2
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.TAN
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.K2
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.TAN
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.VaryNode
Returns the revision string.
getRevision() - Method in class weka.classifiers.BVDecompose
Returns the revision string.
getRevision() - Method in class weka.classifiers.BVDecomposeSegCVSub
Returns the revision string.
getRevision() - Method in class weka.classifiers.CheckClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.CheckSource
Returns the revision string.
getRevision() - Method in class weka.classifiers.CostMatrix
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.ConfusionMatrix
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.CostCurve
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.Evaluation
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.EvaluationUtils
Returns the revision string.
getRevision() - Method in class weka.classifiers.Evaluation
 
getRevision() - Method in class weka.classifiers.evaluation.MarginCurve
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.NominalPrediction
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.NumericPrediction
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.RegressionAnalysis
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.ThresholdCurve
Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.TwoClassStats
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.LinearRegression
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.Logistic
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.MultilayerPerceptron
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.neural.LinearUnit
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.neural.NeuralNode
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.neural.SigmoidUnit
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SGD
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SGDText
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SMO.BinarySMO
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SMO
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SMOreg
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.CheckKernel
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.Kernel
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.Puk
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.RBFKernel
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.RegSMO
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.SMOset
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.VotedPerceptron
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.IBk
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.KStar
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarWrapper
Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.LWL
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.AdaBoostM1
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.AdditiveRegression
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.Bagging
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.ClassificationViaRegression
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.CVParameterSelection
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.FilteredClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.LogitBoost
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.MultiClassClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.MultiScheme
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.RandomCommittee
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.RandomSubSpace
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.Stacking
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.Vote
Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Returns the revision string.
getRevision() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.misc.SerializedClassifier
Returns the revision string.
getRevision() - Method in class weka.classifiers.pmml.consumer.GeneralRegression
 
getRevision() - Method in class weka.classifiers.pmml.consumer.NeuralNetwork
 
getRevision() - Method in class weka.classifiers.pmml.consumer.Regression
 
getRevision() - Method in class weka.classifiers.pmml.consumer.RuleSetModel
Get the revision string for this class
getRevision() - Method in class weka.classifiers.pmml.consumer.SupportVectorMachineModel
 
getRevision() - Method in class weka.classifiers.pmml.consumer.TreeModel
 
getRevision() - Method in class weka.classifiers.rules.DecisionTable
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.DecisionTableHashKey
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip.Antd
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip.NominalAntd
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip.NumericAntd
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip.RipperRule
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.M5Rules
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.OneR
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.part.C45PruneableDecList
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.part.ClassifierDecList
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.PART
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.part.MakeDecList
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.part.PruneableDecList
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.RuleStats
Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.ZeroR
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.DecisionStump
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.BinC45Split
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.C45ModelSelection
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.C45Split
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.Distribution
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.EntropySplitCrit
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.J48
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NBTreeSplit
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NoSplit
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.Stats
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.LMT
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.lmt.LogisticBase
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.lmt.ResidualSplit
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.Impurity
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.Rule
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.RuleNode
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.Values
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.YongSplitInfo
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.M5P
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.RandomForest
Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.REPTree
Returns the revision string.
getRevision() - Method in class weka.classifiers.xml.XMLClassifier
Returns the revision string.
getRevision() - Method in class weka.clusterers.AbstractClusterer
Returns the revision string.
getRevision() - Method in class weka.clusterers.CheckClusterer
Returns the revision string.
getRevision() - Method in class weka.clusterers.ClusterEvaluation
Returns the revision string.
getRevision() - Method in class weka.clusterers.Cobweb.CNode
Returns the revision string.
getRevision() - Method in class weka.clusterers.Cobweb
Returns the revision string.
getRevision() - Method in class weka.clusterers.EM
Returns the revision string.
getRevision() - Method in class weka.clusterers.FarthestFirst
Returns the revision string.
getRevision() - Method in class weka.clusterers.FilteredClusterer
Returns the revision string.
getRevision() - Method in class weka.clusterers.HierarchicalClusterer
Returns the revision string.
getRevision() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns the revision string.
getRevision() - Method in class weka.clusterers.SimpleKMeans
Returns the revision string.
getRevision() - Method in class weka.core.AbstractInstance
Returns the revision string.
getRevision() - Method in class weka.core.AlgVector
Returns the revision string.
getRevision() - Method in class weka.core.AllJavadoc
Returns the revision string.
getRevision() - Method in class weka.core.Attribute
Returns the revision string.
getRevision() - Method in class weka.core.AttributeLocator
Returns the revision string.
getRevision() - Method in class weka.core.AttributeMetaInfo
Returns the revision string.
getRevision() - Method in class weka.core.AttributeStats
Returns the revision string.
getRevision() - Method in class weka.core.BinarySparseInstance
Returns the revision string.
getRevision() - Method in class weka.core.Capabilities
Returns the revision string.
getRevision() - Method in class weka.core.ChebyshevDistance
Returns the revision string.
getRevision() - Method in class weka.core.CheckGOE
Returns the revision string.
getRevision() - Method in class weka.core.CheckOptionHandler
Returns the revision string.
getRevision() - Method in class weka.core.CheckScheme.PostProcessor
Returns the revision string.
getRevision() - Method in class weka.core.ClassCache
Returns the revision string.
getRevision() - Method in class weka.core.ClassDiscovery
Returns the revision string.
getRevision() - Method in class weka.core.ClassDiscovery.StringCompare
Returns the revision string.
getRevision() - Method in class weka.core.ClassloaderUtil
Returns the revision string.
getRevision() - Method in class weka.core.ContingencyTables
Returns the revision string.
getRevision() - Method in class weka.core.converters.ArffLoader.ArffReader
Returns the revision string.
getRevision() - Method in class weka.core.converters.ArffLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.ArffSaver
Returns the revision string.
getRevision() - Method in class weka.core.converters.C45Loader
Returns the revision string.
getRevision() - Method in class weka.core.converters.C45Saver
Returns the revision string.
getRevision() - Method in class weka.core.converters.ConverterUtils.DataSink
Returns the revision string.
getRevision() - Method in class weka.core.converters.ConverterUtils.DataSource
Returns the revision string.
getRevision() - Method in class weka.core.converters.ConverterUtils
Returns the revision string.
getRevision() - Method in class weka.core.converters.CSVLoader
 
getRevision() - Method in class weka.core.converters.CSVSaver
Returns the revision string.
getRevision() - Method in class weka.core.converters.DatabaseConnection
Returns the revision string.
getRevision() - Method in class weka.core.converters.DatabaseLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.DatabaseSaver
Returns the revision string.
getRevision() - Method in class weka.core.converters.DictionarySaver
 
getRevision() - Method in class weka.core.converters.JSONLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.JSONSaver
Returns the revision string.
getRevision() - Method in class weka.core.converters.LibSVMLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.LibSVMSaver
Returns the revision string.
getRevision() - Method in class weka.core.converters.MatlabLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.MatlabSaver
Returns the revision string.
getRevision() - Method in class weka.core.converters.SerializedInstancesLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.SerializedInstancesSaver
Returns the revision string.
getRevision() - Method in class weka.core.converters.StreamTokenizerUtils
 
getRevision() - Method in class weka.core.converters.SVMLightLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.SVMLightSaver
Returns the revision string.
getRevision() - Method in class weka.core.converters.TextDirectoryLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.XRFFLoader
Returns the revision string.
getRevision() - Method in class weka.core.converters.XRFFSaver
Returns the revision string.
getRevision() - Method in class weka.core.Debug.Clock
Returns the revision string.
getRevision() - Method in class weka.core.Debug.DBO
Returns the revision string.
getRevision() - Method in class weka.core.Debug
Returns the revision string.
getRevision() - Method in class weka.core.Debug.Log
Returns the revision string.
getRevision() - Method in class weka.core.Debug.Random
Returns the revision string.
getRevision() - Method in class weka.core.Debug.SimpleLog
Returns the revision string.
getRevision() - Method in class weka.core.Debug.Timestamp
Returns the revision string.
getRevision() - Method in class weka.core.DenseInstance
Returns the revision string.
getRevision() - Method in class weka.core.Environment
Returns the revision string.
getRevision() - Method in class weka.core.EuclideanDistance
Returns the revision string.
getRevision() - Method in class weka.core.FastVector
Deprecated.
Returns the revision string.
getRevision() - Method in class weka.core.FindWithCapabilities
Returns the revision string.
getRevision() - Method in class weka.core.GlobalInfoJavadoc
Returns the revision string.
getRevision() - Method in class weka.core.InstanceComparator
Returns the revision string.
getRevision() - Method in class weka.core.Instances
Returns the revision string.
getRevision() - Method in class weka.core.ListOptions
Returns the revision string.
getRevision() - Method in class weka.core.logging.ConsoleLogger
Returns the revision string.
getRevision() - Method in class weka.core.logging.FileLogger
Returns the revision string.
getRevision() - Method in class weka.core.logging.OutputLogger
Returns the revision string.
getRevision() - Method in class weka.core.ManhattanDistance
Returns the revision string.
getRevision() - Method in class weka.core.matrix.CholeskyDecomposition
Returns the revision string.
getRevision() - Method in class weka.core.matrix.DoubleVector
Returns the revision string.
getRevision() - Method in class weka.core.matrix.EigenvalueDecomposition
Returns the revision string.
getRevision() - Method in class weka.core.matrix.ExponentialFormat
Returns the revision string.
getRevision() - Method in class weka.core.matrix.FlexibleDecimalFormat
Returns the revision string.
getRevision() - Method in class weka.core.matrix.FloatingPointFormat
Returns the revision string.
getRevision() - Method in class weka.core.Matrix
Deprecated.
Returns the revision string.
getRevision() - Method in class weka.core.matrix.IntVector
Returns the revision string.
getRevision() - Method in class weka.core.matrix.LinearRegression
Returns the revision string.
getRevision() - Method in class weka.core.matrix.LUDecomposition
Returns the revision string.
getRevision() - Method in class weka.core.matrix.Maths
Returns the revision string.
getRevision() - Method in class weka.core.matrix.Matrix
Returns the revision string.
getRevision() - Method in class weka.core.matrix.QRDecomposition
Returns the revision string.
getRevision() - Method in class weka.core.matrix.SingularValueDecomposition
Returns the revision string.
getRevision() - Method in class weka.core.Memory
Returns the revision string.
getRevision() - Method in class weka.core.MinkowskiDistance
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.BallTree
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.BallNode
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.BallSplitter
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.CoverTree.CoverTreeNode
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.CoverTree
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.covertrees.Stack
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns the revision string
getRevision() - Method in class weka.core.neighboursearch.KDTree
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.LinearNNSearch
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the revision string.
getRevision() - Method in class weka.core.Option
Returns the revision string.
getRevision() - Method in class weka.core.OptionHandlerJavadoc
Returns the revision string.
getRevision() - Method in class weka.core.PropertyPath
Returns the revision string.
getRevision() - Method in class weka.core.PropertyPath.Path
Returns the revision string.
getRevision() - Method in class weka.core.PropertyPath.PathElement
Returns the revision string.
getRevision() - Method in class weka.core.ProtectedProperties
Returns the revision string.
getRevision() - Method in class weka.core.Queue
Returns the revision string.
getRevision() - Method in class weka.core.RandomVariates
Returns the revision string.
getRevision() - Method in class weka.core.Range
Returns the revision string.
getRevision() - Method in class weka.core.RelationalLocator
Returns the revision string.
getRevision() - Method in interface weka.core.RevisionHandler
Returns the revision string.
getRevision() - Method in class weka.core.scripting.Groovy
Returns the revision string.
getRevision() - Method in class weka.core.scripting.Jython
Returns the revision string.
getRevision() - Method in class weka.core.SelectedTag
Returns the revision string.
getRevision() - Method in class weka.core.SerializationHelper
Returns the revision string.
getRevision() - Method in class weka.core.SerializedObject
Returns the revision string.
getRevision() - Method in class weka.core.SingleIndex
Returns the revision string.
getRevision() - Method in class weka.core.SparseInstance
Returns the revision string.
getRevision() - Method in class weka.core.SpecialFunctions
Returns the revision string.
getRevision() - Method in class weka.core.Statistics
Returns the revision string.
getRevision() - Method in class weka.core.stemmers.IteratedLovinsStemmer
Returns the revision string.
getRevision() - Method in class weka.core.stemmers.LovinsStemmer
Returns the revision string.
getRevision() - Method in class weka.core.stemmers.NullStemmer
Returns the revision string.
getRevision() - Method in class weka.core.stemmers.SnowballStemmer
Returns the revision string.
getRevision() - Method in class weka.core.stemmers.Stemming
Returns the revision string.
getRevision() - Method in class weka.core.Stopwords
Returns the revision string.
getRevision() - Method in class weka.core.StringLocator
Returns the revision string.
getRevision() - Method in class weka.core.SystemInfo
Returns the revision string.
getRevision() - Method in class weka.core.Tag
Returns the revision string.
getRevision() - Method in class weka.core.TechnicalInformation
Returns the revision string.
getRevision() - Method in class weka.core.TechnicalInformationHandlerJavadoc
Returns the revision string.
getRevision() - Method in class weka.core.Tee
Returns the revision string.
getRevision() - Method in class weka.core.TestInstances
Returns the revision string.
getRevision() - Method in class weka.core.tokenizers.AlphabeticTokenizer
Returns the revision string.
getRevision() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Returns the revision string.
getRevision() - Method in class weka.core.tokenizers.NGramTokenizer
Returns the revision string.
getRevision() - Method in class weka.core.tokenizers.WordTokenizer
Returns the revision string.
getRevision() - Method in class weka.core.Trie
Returns the revision string.
getRevision() - Method in class weka.core.Trie.TrieIterator
Returns the revision string.
getRevision() - Method in class weka.core.Trie.TrieNode
Returns the revision string.
getRevision() - Method in class weka.core.Utils
Returns the revision string.
getRevision() - Method in class weka.core.Version
Returns the revision string.
getRevision() - Method in class weka.core.WekaEnumeration
Returns the revision string.
getRevision() - Method in class weka.core.xml.KOML
Returns the revision string.
getRevision() - Method in class weka.core.xml.MethodHandler
Returns the revision string.
getRevision() - Method in class weka.core.xml.PropertyHandler
Returns the revision string.
getRevision() - Method in class weka.core.xml.SerialUIDChanger
Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLBasicSerialization
Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLDocument
Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLInstances
Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLOptions
Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLSerialization
Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLSerializationMethodHandler
Returns the revision string.
getRevision() - Method in class weka.core.xml.XStream
Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.LED24
Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.regression.Expression
Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Returns the revision string.
getRevision() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the revision string.
getRevision() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Returns the revision string.
getRevision() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns the revision string.
getRevision() - Method in class weka.datagenerators.Test
Returns the revision string.
getRevision() - Method in class weka.estimators.CheckEstimator.AttrTypes
Returns the revision string.
getRevision() - Method in class weka.estimators.CheckEstimator.EstTypes
Returns the revision string.
getRevision() - Method in class weka.estimators.CheckEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.CheckEstimator.PostProcessor
Returns the revision string.
getRevision() - Method in class weka.estimators.DDConditionalEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.DiscreteEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.DKConditionalEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.DNConditionalEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.Estimator
Returns the revision string.
getRevision() - Method in class weka.estimators.EstimatorUtils
Returns the revision string.
getRevision() - Method in class weka.estimators.KDConditionalEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.KernelEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.KKConditionalEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.MahalanobisEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.NDConditionalEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.NNConditionalEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.NormalEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.PoissonEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.UnivariateKernelEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the revision string.
getRevision() - Method in class weka.estimators.UnivariateNormalEstimator
Returns the revision string.
getRevision() - Method in class weka.experiment.AveragingResultProducer
Returns the revision string.
getRevision() - Method in class weka.experiment.ClassifierSplitEvaluator
Returns the revision string.
getRevision() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Returns the revision string.
getRevision() - Method in class weka.experiment.CrossValidationResultProducer
Returns the revision string.
getRevision() - Method in class weka.experiment.CrossValidationSplitResultProducer
Returns the revision string.
getRevision() - Method in class weka.experiment.CSVResultListener
Returns the revision string.
getRevision() - Method in class weka.experiment.DatabaseResultListener
Returns the revision string.
getRevision() - Method in class weka.experiment.DatabaseResultProducer
Returns the revision string.
getRevision() - Method in class weka.experiment.DatabaseUtils
Returns the revision string.
getRevision() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns the revision string.
getRevision() - Method in class weka.experiment.Experiment
Returns the revision string.
getRevision() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the revision string.
getRevision() - Method in class weka.experiment.InstanceQuery
Returns the revision string.
getRevision() - Method in class weka.experiment.InstancesResultListener
Returns the revision string.
getRevision() - Method in class weka.experiment.LearningRateResultProducer
Returns the revision string.
getRevision() - Method in class weka.experiment.OutputZipper
Returns the revision string.
getRevision() - Method in class weka.experiment.PairedCorrectedTTester
Returns the revision string.
getRevision() - Method in class weka.experiment.PairedStats
Returns the revision string.
getRevision() - Method in class weka.experiment.PairedStatsCorrected
Returns the revision string.
getRevision() - Method in class weka.experiment.PairedTTester
Returns the revision string.
getRevision() - Method in class weka.experiment.PropertyNode
Returns the revision string.
getRevision() - Method in class weka.experiment.RandomSplitResultProducer
Returns the revision string.
getRevision() - Method in class weka.experiment.RegressionSplitEvaluator
Returns the revision string.
getRevision() - Method in class weka.experiment.RemoteEngine
Returns the revision string.
getRevision() - Method in class weka.experiment.RemoteExperiment
Returns the revision string.
getRevision() - Method in class weka.experiment.RemoteExperimentSubTask
Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixCSV
Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixGnuPlot
Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixHTML
Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixLatex
Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixPlainText
Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixSignificance
Returns the revision string.
getRevision() - Method in class weka.experiment.Stats
Returns the revision string.
getRevision() - Method in class weka.experiment.TaskStatusInfo
Returns the revision string.
getRevision() - Method in class weka.experiment.xml.XMLExperiment
Returns the revision string.
getRevision() - Method in class weka.filters.AllFilter
Returns the revision string.
getRevision() - Method in class weka.filters.CheckSource
Returns the revision string.
getRevision() - Method in class weka.filters.Filter
Returns the revision string.
getRevision() - Method in class weka.filters.MultiFilter
Returns the revision string.
getRevision() - Method in class weka.filters.RenameRelation
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.AddClassification
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.AttributeSelection
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.ClassOrder
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.Discretize
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.NominalToBinary
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.PartitionMembership
 
getRevision() - Method in class weka.filters.supervised.instance.ClassBalancer
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.instance.Resample
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns the revision string.
getRevision() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Add
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddCluster
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddExpression
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddID
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddNoise
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Center
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Copy
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.FirstOrder
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MathExpression
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NominalToString
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Normalize
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Obfuscate
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Remove
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveByName
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveType
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Reorder
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.SortLabels
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Standardize
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.StringToNominal
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.SwapValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Transpose
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.Randomize
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveRange
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.Resample
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Returns the revision string.
getRevision() - Method in class weka.gui.beans.FlowRunner
 
getRevision() - Method in class weka.gui.sql.DbUtils
Returns the revision string.
getRHSOperand() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Get the rhs operand
getRidge() - Method in class weka.classifiers.functions.LinearRegression
Get the value of Ridge.
getRidge() - Method in class weka.classifiers.functions.Logistic
Gets the ridge in the log-likelihood.
getRidge() - Method in class weka.estimators.MultivariateGaussianEstimator
Get the value of Ridge.
getRightMargin() - Method in class weka.core.pmml.jaxbbindings.Interval
Gets the value of the rightMargin property.
getRMSE() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Gets the value of the rmse property.
getROC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the roc property.
getROCArea(Instances) - Static method in class weka.classifiers.evaluation.ThresholdCurve
Calculates the area under the ROC curve as the Wilcoxon-Mann-Whitney statistic.
getROCGraph() - Method in class weka.core.pmml.jaxbbindings.ROC
Gets the value of the rocGraph property.
getROCString() - Method in class weka.gui.visualize.ThresholdVisualizePanel
This extracts the ROC area string
getRoot() - Method in class weka.core.expressionlanguage.parser.Parser
Returns the root node of the program
getRoot() - Method in class weka.core.Trie
returns the root node of the trie
getRoot() - Method in class weka.gui.treevisualizer.Node
Get the value of root.
getRootMeanSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the rootMeanSquaredError property.
getRootNode() - Method in class weka.core.xml.XMLDocument
returns the current root node.
getRow(int) - Method in class weka.core.Matrix
Deprecated.
Gets a row of the matrix and returns it as double array.
getRow() - Method in class weka.core.pmml.jaxbbindings.InlineTable
Gets the value of the row property.
getRow() - Method in class weka.core.pmml.jaxbbindings.MatCell
Gets the value of the row property.
getRow() - Static method in class weka.gui.experiment.ExperimenterDefaults
the comma-separated list of attribute names that identify a row.
getRowCount() - Method in class weka.experiment.ResultMatrix
returns the number of rows.
getRowCount() - Method in class weka.gui.arffviewer.ArffTableModel
returns the number of rows in the model
getRowCount() - Method in class weka.gui.InteractiveTableModel
 
getRowCount() - Method in class weka.gui.SortedTableModel
Returns the number of rows in the model.
getRowCount() - Method in class weka.gui.sql.ResultSetHelper
returns the number of rows in the resultset.
getRowCount() - Method in class weka.gui.sql.ResultSetTableModel
returns the number of rows in the model.
getRowDimension() - Method in class weka.core.matrix.Matrix
Get row dimension.
getRowHidden(int) - Method in class weka.experiment.ResultMatrix
returns the hidden status of the row, if the index is valid, otherwise false.
getRowName(int) - Method in class weka.experiment.ResultMatrix
returns the name of the row, if the index is valid, otherwise null.
getRowNameWidth() - Method in class weka.experiment.ResultMatrix
returns the current width for the row names.
getRowOrder() - Method in class weka.experiment.ResultMatrix
returns the current order of the rows, null means the default order.
getRowPackedCopy() - Method in class weka.core.matrix.Matrix
Make a one-dimensional row packed copy of the internal array.
getRsource() - Method in class weka.gui.treevisualizer.Edge
Get the value of rsource.
getRSquared() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the rSquared property.
getRtarget() - Method in class weka.gui.treevisualizer.Edge
Get the value of rtarget.
getRule() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Gets the value of the rule property.
getRule() - Method in class weka.core.pmml.jaxbbindings.RuleSet
Gets the value of the rule property.
getRuleFeature() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the ruleFeature property.
getRuleMetricNames() - Method in class weka.associations.Apriori
Gets a list of the names of the metrics output for each rule.
getRuleMetricNames() - Method in interface weka.associations.AssociationRulesProducer
Gets a list of the names of the metrics output for each rule.
getRuleMetricNames() - Method in class weka.associations.FilteredAssociator
Gets a list of the names of the metrics output for each rule.
getRuleMetricNames() - Method in class weka.associations.FPGrowth
Gets a list of the names of the metrics output for each rule.
getRules() - Method in class weka.associations.AssociationRules
Get the rules.
getRules() - Method in class weka.associations.FilteredAssociationRules
Get the rules.
getRules() - Method in class weka.gui.beans.BatchAssociationRulesEvent
Get the encapsulated association rules.
getRuleSelectionMethod() - Method in class weka.core.pmml.jaxbbindings.RuleSet
Gets the value of the ruleSelectionMethod property.
getRuleset() - Method in class weka.classifiers.rules.JRip
Get the ruleset generated by Ripper
getRuleset() - Method in class weka.classifiers.rules.RuleStats
Get the ruleset of the stats
getRuleSetModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the ruleSetModel property.
getRulesetSize() - Method in class weka.classifiers.rules.RuleStats
Get the size of the ruleset in the stats
getRulesMustContain() - Method in class weka.associations.FPGrowth
Get the comma separated list of items that rules must contain in order to be output.
getRuleStats(int) - Method in class weka.classifiers.rules.JRip
Get the statistics of the ruleset in the given position
getRunColumn() - Method in class weka.experiment.PairedTTester
Get the value of RunColumn.
getRunColumn() - Method in interface weka.experiment.Tester
Get the value of RunColumn.
getRunLower() - Method in class weka.experiment.Experiment
Get the lower run number for the experiment.
getRunNumber() - Method in class weka.gui.beans.BatchClassifierEvent
Get the run number.
getRunNumber() - Method in class weka.gui.beans.TestSetEvent
Get the run number that this training set belongs to.
getRunNumber() - Method in class weka.gui.beans.TrainingSetEvent
Get the run number that this training set belongs to.
getRuns() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
getRuns() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
Returns the number of runs
getRuns() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
getRuns() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
 
getRuns() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
getRuns() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
 
getRuns() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
getRuns() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
 
getRunUpper() - Method in class weka.experiment.Experiment
Get the upper run number for the experiment.
getS() - Method in class weka.core.matrix.SingularValueDecomposition
Return the diagonal matrix of singular values
getSample() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
Gets the value of the sample property.
getSampleSize() - Method in class weka.attributeSelection.ReliefFAttributeEval
Get the number of instances used for estimating attributes
getSampleSize() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Gets the subsample size.
getSampleSizePercent() - Method in class weka.filters.supervised.instance.Resample
Gets the subsample size as a percentage of the original set.
getSampleSizePercent() - Method in class weka.filters.unsupervised.instance.Resample
Gets the subsample size as a percentage of the original set.
getSaveBinaryDictionary() - Method in class weka.core.converters.DictionarySaver
Get whether to save the dictionary as a binary serialized dictionary, rather than a plain text one
getSaveDialogTitle() - Method in class weka.gui.visualize.PrintableComponent
returns the title for the save dialog.
getSaveDialogTitle() - Method in interface weka.gui.visualize.PrintableHandler
returns the title for the save dialog
getSaveDialogTitle() - Method in class weka.gui.visualize.PrintablePanel
returns the title for the save dialog
getSaveDictionaryInBinaryForm() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Set whether to save the dictionary in binary serialized form rather than as plain text
getSaveForVisualization() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Returns whether the instances are saved for visualization for only evaluation of the prediction is to happen.
getSaveInstanceData() - Method in class weka.classifiers.trees.J48
Check whether instance data is to be saved.
getSaveInstanceData() - Method in class weka.clusterers.Cobweb
Get the value of saveInstances.
getSaveInstances() - Method in class weka.classifiers.trees.M5P
Get whether instance data is being save.
getSaver() - Method in class weka.gui.ConverterFileChooser
returns the saver that was chosen by the user, can be null in case the user aborted the dialog or the open dialog was shown.
getSaver() - Method in class weka.knowledgeflow.steps.Saver
Get the saver instance that is wrapped by this step.
getSaverForExtension(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the saver to use for this kind of extension, returns null if none can be found.
getSaverForFile(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the saver to use for this kind of file, returns null if none can be found.
getSaverForFile(File) - Static method in class weka.core.converters.ConverterUtils
tries to determine the saver to use for this kind of file, returns null if none can be found.
getSaversForExtension(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the savers to use for this kind of extension.
getSaversForFile(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the savers to use for this kind of file.
getSaversForFile(File) - Static method in class weka.core.converters.ConverterUtils
tries to determine the savers to use for this kind of file.
getSaverTemplate() - Method in class weka.gui.beans.Saver
Get the saver
getScale() - Method in class weka.filters.unsupervised.attribute.Normalize
Get the scaling factor.
getScaleWidthToFit() - Method in class weka.gui.DocumentPrinting
Returns whether the width is to be scaled.
getScalingEnabled() - Method in class weka.gui.visualize.JComponentWriter
whether scaling is enabled or ignored
getScore() - Method in class weka.core.pmml.jaxbbindings.Node
Gets the value of the score property.
getScore() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the score property.
getScorecard() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the scorecard property.
getScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.RuleSet
Gets the value of the scoreDistribution property.
getScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the scoreDistribution property.
getScoreType() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
get quality measure to be used in searching for networks.
getScript() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
Returns the script that triggered the event.
getScrollableTracksViewportHeight() - Method in class weka.gui.ETable
Changes the behavior of a table in a JScrollPane to be more like the behavior of JList, which expands to fill the available space.
getSearch() - Method in class weka.attributeSelection.CheckAttributeSelection
Get the current search method
getSearch() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Gets the search method used
getSearch() - Method in class weka.classifiers.rules.DecisionTable
Gets the current search method
getSearch() - Method in class weka.filters.supervised.attribute.AttributeSelection
Get the name of the search method
getSearchAlgorithm() - Method in class weka.classifiers.bayes.BayesNet
Get the SearchAlgorithm used as the search algorithm
getSearchBackwards() - Method in class weka.attributeSelection.GreedyStepwise
Get whether to search backwards
getSearchMethod() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Gets the search method used.
getSearchStrategy() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
Get the search strategy wrapped by this step
getSearchString() - Method in class weka.gui.arffviewer.ArffTable
returns the search string, can be NULL if no search string is set
getSearchTermination() - Method in class weka.attributeSelection.BestFirst
Get the termination criterion (number of non-improving nodes).
getSeasonalityExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Gets the value of the seasonalityExpoSmooth property.
getSecondInputStructure() - Method in class weka.knowledgeflow.steps.Join
Get the Instances structure being produced by the second input
getSecondValueIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Get the index of the second value used.
getSecondValueIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
Get the index of the second value used.
getSeed() - Method in class weka.attributeSelection.ClassifierAttributeEval
Get the random number seed used for cross validation
getSeed() - Method in class weka.attributeSelection.ClassifierSubsetEval
Get the random seed used to randomize the data before performing a percentage split
getSeed() - Method in class weka.attributeSelection.OneRAttributeEval
Get the random number seed
getSeed() - Method in class weka.attributeSelection.ReliefFAttributeEval
Get the seed used for randomly sampling instances.
getSeed() - Method in class weka.attributeSelection.WrapperSubsetEval
Get the random number seed used for cross validation
getSeed() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
getSeed() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
Returns the random seed
getSeed() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
getSeed() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
getSeed() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
 
getSeed() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
getSeed() - Method in class weka.classifiers.BVDecompose
Gets the random number seed
getSeed() - Method in class weka.classifiers.BVDecomposeSegCVSub
Gets the random number seed
getSeed() - Method in class weka.classifiers.evaluation.EvaluationUtils
Gets the seed for randomization during cross-validation
getSeed() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getSeed() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Gets the current seed value for the random number generator
getSeed() - Method in class weka.classifiers.functions.VotedPerceptron
Get the value of Seed.
getSeed() - Method in class weka.classifiers.meta.MultiScheme
Gets the random number seed.
getSeed() - Method in class weka.classifiers.RandomizableClassifier
Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.rules.JRip
Gets the current seed value to use in randomizing the data
getSeed() - Method in class weka.classifiers.rules.PART
Get the value of Seed.
getSeed() - Method in class weka.classifiers.trees.J48
Get the value of Seed.
getSeed() - Method in class weka.classifiers.trees.RandomTree
Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.trees.REPTree
Get the value of Seed.
getSeed() - Method in class weka.clusterers.RandomizableClusterer
Gets the seed for the random number generations
getSeed() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
Gets the seed for the random number generations
getSeed() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
Gets the seed for the random number generations
getSeed() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Returns the seed for random number generator.
getSeed() - Method in interface weka.core.Randomizable
Gets the seed for the random number generations
getSeed() - Method in class weka.core.TestInstances
returns the current seed value
getSeed() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Gets the random number seed.
getSeed() - Method in class weka.datagenerators.DataGenerator
Gets the random number seed.
getSeed() - Method in class weka.estimators.UnivariateMixtureEstimator
Gets the seed for the random number generations
getSeed() - Method in class weka.filters.MultiFilter
Gets the seed for the random number generations
getSeed() - Method in class weka.filters.supervised.attribute.ClassOrder
Get the current randomization seed
getSeed() - Method in class weka.filters.supervised.instance.Resample
 
getSeed() - Method in class weka.filters.supervised.instance.SpreadSubsample
 
getSeed() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Gets the random number seed used for shuffling the dataset.
getSeed() - Method in class weka.filters.unsupervised.attribute.AddNoise
 
getSeed() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Gets the random seed of the random number generator
getSeed() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Get the seed value for the random number generator.
getSeed() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Get the random number generator seed value.
getSeed() - Method in class weka.filters.unsupervised.instance.Randomize
 
getSeed() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Gets the random number seed used for shuffling the dataset.
getSeed() - Method in class weka.filters.unsupervised.instance.Resample
 
getSeed() - Method in class weka.filters.unsupervised.instance.ReservoirSample
 
getSeed() - Method in class weka.gui.beans.CrossValidationFoldMaker
Get the currently set seed
getSeed() - Method in class weka.gui.beans.TrainTestSplitMaker
Get the value of the random seed
getSeed() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Get the random seed
getSeed() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Get the random seed to use
getSegment() - Method in class weka.core.pmml.jaxbbindings.Segmentation
Gets the value of the segment property.
getSegmentId() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the segmentId property.
getSelectedAttributes() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
 
getSelectedAttributes() - Method in class weka.gui.AttributeSelectionPanel
Gets an array containing the indices of all selected attributes.
getSelectedBeans() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getSelectedBeans(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getSelectedBuffer() - Method in class weka.gui.ResultHistoryPanel
Gets the buffer associated with the currently selected item in the list.
getSelectedClassIndex() - Method in class weka.gui.explorer.ClassifierPanel
Get the selected (0-based) class index
getSelectedEnumValue() - Method in class weka.core.EnumHelper
Get the selected/wrapped enum value (as obtained by calling toString() on the enum value)
getSelectedEvalMetrics() - Method in class weka.gui.EvaluationMetricSelectionDialog
Get the list of selected evaluation metrics
getSelectedName() - Method in class weka.gui.ResultHistoryPanel
Get the name of the currently selected item in the list
getSelectedObject() - Method in class weka.gui.ResultHistoryPanel
Gets the object associated with the currently selected item in the list.
getSelectedRange() - Method in class weka.core.DictionaryBuilder
Get the value of m_SelectedRange.
getSelectedRange() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Get the value of m_SelectedRange.
getSelectedTag() - Method in class weka.core.SelectedTag
Gets the selected Tag.
getSelection() - Method in class weka.core.Range
Gets an array containing all the selected values, in the order that they were selected (or ascending order if range inversion is on).
getSelectionModel() - Method in class weka.gui.AttributeListPanel
Gets the selection model used by the table.
getSelectionModel() - Method in class weka.gui.AttributeSelectionPanel
Gets the selection model used by the table.
getSelectionModel() - Method in class weka.gui.ResultHistoryPanel
Gets the selection model used by the results list.
getSeparateTestSetClassIndex() - Method in class weka.gui.explorer.ClassifierPanel
Get the class index specified for the separate test set
getSeparateTestSetLoader() - Method in class weka.gui.explorer.ClassifierPanel
Get the loader object used for loading a separate test set
getSeperator() - Method in class weka.gui.HierarchyPropertyParser
Get the seperator between levels.
getSeqId() - Method in class weka.core.pmml.jaxbbindings.SequenceReference
Gets the value of the seqId property.
getSequenceModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the sequenceModel property.
getSequenceReference() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
Gets the value of the sequenceReference property.
getSequenceReference() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
Gets the value of the sequenceReference property.
getSerializedClassifierFile() - Method in class weka.filters.supervised.attribute.AddClassification
Gets the file pointing to a serialized, trained classifier.
getSerializedClustererFile() - Method in class weka.filters.unsupervised.attribute.AddCluster
Gets the file pointing to a serialized, built clusterer.
getSetId() - Method in class weka.core.pmml.jaxbbindings.SetReference
Gets the value of the setId property.
getSetNumber() - Method in class weka.gui.beans.BatchClassifierEvent
Get the set number (ie which fold this is)
getSetNumber() - Method in class weka.gui.beans.BatchClustererEvent
Get the set number (ie which fold this is)
getSetNumber() - Method in class weka.gui.beans.TestSetEvent
Get the test set number (eg.
getSetNumber() - Method in class weka.gui.beans.TrainingSetEvent
Get the set number (eg.
getSetReference() - Method in class weka.core.pmml.jaxbbindings.Sequence
Gets the value of the setReference property.
getSetting(String, String, T, Environment) - Method in class weka.core.Settings
 
getSetting(String, Settings.SettingKey, T) - Method in class weka.core.Settings
Get the value of a setting
getSetting(String, Settings.SettingKey, T, Environment) - Method in class weka.core.Settings
Get the value of a setting
getSetting(Settings.SettingKey, T) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the value of a setting for the main perspective
getSettings(String) - Method in class weka.core.Settings
Get the settings for a given ID
getSettings() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Get the settings object for the application
getSettings() - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
Get the settings object
getSettings() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
 
getSettings() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Get knowledge flow settings for this execution environment
getSettings() - Method in interface weka.knowledgeflow.FlowExecutor
Convenience method for getting current settings - implementers should delegate the the execution environment
getSettings() - Method in class weka.knowledgeflow.FlowRunner
Get the settings in use when executing the Flow
getSettings() - Method in interface weka.knowledgeflow.StepManager
Get the knowledge flow settings
getSettings() - Method in class weka.knowledgeflow.StepManagerImpl
Get the current knowledge flow settings
getSettingsIDs() - Method in class weka.core.Settings
Get a list of settings IDs
getSetupPanel() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the class name of the default setup panel.
getShape() - Method in class weka.gui.treevisualizer.Node
Get the value of shape.
getShapeSize() - Method in class weka.gui.visualize.PlotData2D
Get the shape sizes for the plot data
getShapeType() - Method in class weka.gui.visualize.PlotData2D
Get the shape types for the plot data
getShowAttBars() - Method in class weka.gui.visualize.VisualizePanel
Gets whether or not attribute bars are being displayed.
getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffPanel
Returns whether to display the attribute index in the header.
getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffSortedTableModel
Returns whether to display the attribute index in the header.
getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffTableModel
Returns whether to display the attribute index in the header.
getShowAverage() - Method in class weka.experiment.ResultMatrix
returns whether average per column is displayed or not.
getShowAverage() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns whether the Average is shown by default.
getShowClassPanel() - Method in class weka.gui.visualize.VisualizePanel
Gets whether or not the class panel is being displayed.
getShowGlobalInfoToolTips() - Method in class weka.gui.GenericObjectEditor
 
getShowStdDev() - Method in class weka.experiment.ResultMatrix
returns whether std deviations are displayed or not.
getShowStdDevs() - Method in class weka.experiment.PairedTTester
Returns true if standard deviations have been requested.
getShowStdDevs() - Method in interface weka.experiment.Tester
Returns true if standard deviations have been requested.
getShowStdDevs() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns whether StdDevs are shown by default.
getShowZeroInstancesAsUnknown() - Method in class weka.gui.InstancesSummaryPanel
Get whether to show zero instances as unknown (i.e.
getShrinkage() - Method in class weka.classifiers.meta.AdditiveRegression
Get the shrinkage rate.
getShrinkage() - Method in class weka.classifiers.meta.LogitBoost
Get the value of Shrinkage.
getSigma() - Method in class weka.attributeSelection.ReliefFAttributeEval
Get the value of sigma.
getSigma() - Method in class weka.classifiers.BVDecompose
Get the calculated sigma squared
getSigma() - Method in class weka.classifiers.functions.supportVector.Puk
Gets the sigma value.
getSignificance(int, int) - Method in class weka.experiment.ResultMatrix
returns the significance at the given position, if the position is valid, otherwise SIGNIFICANCE_ATIE.
getSignificance() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the default significance.
getSignificanceCount(int, int) - Method in class weka.experiment.ResultMatrix
counts the occurrences of the given significance type in the given column.
getSignificanceLevel() - Method in class weka.associations.Apriori
Get the value of significanceLevel.
getSignificanceLevel() - Method in class weka.experiment.PairedTTester
Get the value of SignificanceLevel.
getSignificanceLevel() - Method in interface weka.experiment.Tester
Get the value of SignificanceLevel.
getSignificanceLevel() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Gets the significance level.
getSignificanceWidth() - Method in class weka.experiment.ResultMatrix
returns the current width for the significance.
getSilent() - Method in class weka.core.Check
Get whether silent mode is turned on
getSilent() - Method in class weka.core.Javadoc
whether output in the console is suppressed
getSilent() - Method in class weka.estimators.CheckEstimator
Get whether silent mode is turned on
getSimilarityScale() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Gets the value of the similarityScale property.
getSimilarityType() - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
Gets the value of the similarityType property.
getSimpleMatching() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the simpleMatching property.
getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
Gets the value of the simplePredicate property.
getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Gets the value of the simplePredicate property.
getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the simplePredicate property.
getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the simplePredicate property.
getSimplePredicateOrCompoundPredicateOrSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
Gets the value of the simplePredicateOrCompoundPredicateOrSimpleSetPredicate property.
getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
Gets the value of the simpleSetPredicate property.
getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Gets the value of the simpleSetPredicate property.
getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the simpleSetPredicate property.
getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the simpleSetPredicate property.
getSimpleStats(int) - Method in class weka.classifiers.rules.RuleStats
Get the simple stats of one rule, including 6 parameters: 0: coverage; 1:uncoverage; 2: true positive; 3: true negatives; 4: false positives; 5: false negatives
getSIndex() - Method in class weka.gui.visualize.VisualizePanel
Get the index of the shape selected for creating splits.
getSingleIndex() - Method in class weka.core.SingleIndex
Gets the string representing the selected range of values.
getSingleLineCommentStart() - Method in class weka.gui.scripting.SyntaxDocument
Retrusn the single line comment start string.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.LED24
Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the single mode flag.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.regression.Expression
Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Gets the single mode flag.
getSingleModeFlag() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Gets the single mode flag.
getSingleModeFlag() - Method in class weka.datagenerators.DataGenerator
Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleton() - Static method in class weka.core.logging.Logger
Returns the singleton instance of the logger.
getSingleton() - Static method in class weka.gui.beans.KnowledgeFlowApp
Return the singleton instance of the KnowledgeFlow
getSingleton() - Static method in class weka.gui.Main
Return the singleton instance of the Main GUI.
getSingularValues() - Method in class weka.core.matrix.SingularValueDecomposition
Return the one-dimensional array of singular values
getSize() - Method in class weka.core.Debug.Log
returns the size of the files
getSize() - Method in class weka.core.pmml.jaxbbindings.Cluster
Gets the value of the size property.
getSize() - Method in class weka.core.pmml.jaxbbindings.Partition
Gets the value of the size property.
getSize() - Method in class weka.gui.beans.EnvironmentField.WideComboBox
Deprecated.
 
getSize() - Method in class weka.gui.EnvironmentField.WideComboBox
 
getSkipIdentical() - Method in class weka.core.neighboursearch.LinearNNSearch
Gets whether if identical instances are skipped from the neighbourhood.
getSlope() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns the slope of the function.
getSlope() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
Returns the slope of the function.
getSmoothedValue() - Method in class weka.core.pmml.jaxbbindings.Level
Gets the value of the smoothedValue property.
getSmoothedValue() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Gets the value of the smoothedValue property.
getSmoothing() - Method in class weka.classifiers.trees.m5.Rule
Get whether or not smoothing has been turned on
getSnapToGrid() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Return true if the snap-to-grid button is selected
getSons() - Method in class weka.classifiers.trees.j48.ClassifierTree
 
getSort() - Method in class weka.filters.unsupervised.attribute.AddValues
Gets whether the labels are sorted or not.
getSortColumn() - Method in class weka.experiment.PairedTTester
Returns the column to sort on, -1 means the default sorting.
getSortColumn() - Method in interface weka.experiment.Tester
Returns the column to sort on, -1 means the default sorting.
getSortColumnName() - Method in class weka.experiment.PairedTTester
Returns the name of the column to sort on.
getSortColumnName() - Method in interface weka.experiment.Tester
Returns the name of the column to sort on.
getSortDetails() - Method in class weka.gui.beans.Sorter
Get the sort rules to use
getSortDetails() - Method in class weka.knowledgeflow.steps.Sorter
Get the sort rules to use
getSortDictionary() - Method in class weka.core.DictionaryBuilder
Get whether to keep the dictionary sorted alphabetically as it is built.
getSorting() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the default sorting (empty string means none).
getSortType() - Method in class weka.filters.unsupervised.attribute.SortLabels
Gets the sort type to be used.
getSource() - Method in class weka.core.packageManagement.Dependency
Get the source package.
getSource() - Method in class weka.gui.beans.BeanConnection
returns the source BeanInstance for this connection
getSource() - Method in class weka.gui.treevisualizer.Edge
Get the value of source.
getSourceCode() - Method in class weka.classifiers.CheckSource
Gets the class to test.
getSourceCode() - Method in class weka.filters.CheckSource
Gets the class to test.
getSourceCodeClassName() - Method in class weka.gui.explorer.ClassifierPanel
Gets the name of the source code class to be generated
getSourceStep() - Method in class weka.knowledgeflow.Data
Get the source step producing this Data object
getSparseData() - Method in class weka.core.converters.DatabaseLoader
Gets whether data is to be returned as a set of sparse instances
getSparseData() - Method in class weka.experiment.InstanceQuery
Gets whether data is to be returned as a set of sparse instances
getSparseData() - Method in interface weka.experiment.InstanceQueryAdapter
Gets whether data is to be returned as a set of sparse instances
getSplitByDataSet() - Method in class weka.experiment.RemoteExperiment
Returns true if sub experiments are to be created on the basis of data set.
getSplitByProperty() - Method in class weka.experiment.RemoteExperiment
Returns true if sub experiments are to be created on the basis of property.
getSplitCharacteristic() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the splitCharacteristic property.
getSplitCharacteristic() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the value of the splitCharacteristic property.
getSplitConfidence() - Method in class weka.classifiers.trees.HoeffdingTree
Get the allowable error in a split decision.
getSplitCriterion() - Method in class weka.classifiers.trees.HoeffdingTree
Get the split criterion to use (either Gini or info gain).
getSplitDim() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
Gets the splitting dimension.
getSplitEvaluator() - Method in class weka.experiment.CrossValidationResultProducer
Get the SplitEvaluator.
getSplitEvaluator() - Method in class weka.experiment.ExplicitTestsetResultProducer
Get the SplitEvaluator.
getSplitEvaluator() - Method in class weka.experiment.RandomSplitResultProducer
Get the SplitEvaluator.
getSplitOnResiduals() - Method in class weka.classifiers.trees.LMT
Get the value of splitOnResiduals.
getSplitPercent() - Method in class weka.attributeSelection.ClassifierSubsetEval
Get the split percentage to use
getSplitPercentage() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the value of SplitPercentage.
getSplitPoint() - Method in class weka.associations.NumericItem
Gets the numeric test.
getSplitPoint() - Method in class weka.classifiers.rules.JRip.NumericAntd
Get split point of this numeric antecedent
getSplitPoint() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Get the split point used for numeric selection
getSplitValue() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
Gets the splitting value.
getSpreadAttributeWeight() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
If true, when generating attributes, spread weight of old attribute across new attributes.
getSpreadAttributeWeight() - Method in class weka.filters.supervised.attribute.Discretize
If true, when generating binary attributes, spread weight of old attribute across new attributes.
getSpreadAttributeWeight() - Method in class weka.filters.supervised.attribute.NominalToBinary
If true, when generating binary attributes, spread weight of old attribute across new attributes.
getSpreadAttributeWeight() - Method in class weka.filters.unsupervised.attribute.Discretize
If true, when generating binary attributes, spread weight of old attribute across new attributes.
getSpreadAttributeWeight() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
If true, when generating binary attributes, spread weight of old attribute across new attributes.
getSpreadInitialCount() - Method in class weka.classifiers.trees.REPTree
Get the value of SpreadInitialCount.
getSqlWhere() - Method in class weka.core.pmml.jaxbbindings.Aggregate
Gets the value of the sqlWhere property.
getSquaredError() - Method in class weka.clusterers.SimpleKMeans
Gets the squared error for all clusters.
getSquaredEuclidean() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the squaredEuclidean property.
getSSB() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
Gets the value of the ssb property.
getSSE() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
Gets the value of the sse property.
getStamp() - Method in class weka.core.Debug.Timestamp
returns the associated date/time
getStandardDeviation(Instance) - Method in class weka.classifiers.functions.GaussianProcesses
Gives standard deviation of the prediction at the given instance.
getStandardDeviation() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Gets the value of the standardDeviation property.
getStandardDeviation() - Method in class weka.core.pmml.jaxbbindings.Time
Gets the value of the standardDeviation property.
getStandardError() - Method in class weka.core.pmml.jaxbbindings.TimeValue
Gets the value of the standardError property.
getStart() - Method in class weka.core.Debug.Clock
returns the start time
getStartMessage() - Method in class weka.gui.beans.Loader
Gets a string that describes the start action.
getStartMessage() - Method in class weka.gui.beans.MetaBean
 
getStartMessage() - Method in interface weka.gui.beans.Startable
Gets a string that describes the start action.
getStartPoints(Integer...) - Static method in class weka.gui.beans.BeanInstance
Returns a list of start points (if any) in the indexed flow
getStartSequentially() - Method in class weka.gui.beans.FlowRunner
Gets whether Startable beans will be launched sequentially or all in parallel.
getStartSet() - Method in class weka.attributeSelection.BestFirst
Returns a list of attributes (and or attribute ranges) as a String
getStartSet() - Method in class weka.attributeSelection.GreedyStepwise
Returns a list of attributes (and or attribute ranges) as a String
getStartSet() - Method in class weka.attributeSelection.Ranker
Returns a list of attributes (and or attribute ranges) as a String
getStartSet() - Method in interface weka.attributeSelection.StartSetHandler
Returns a list of attributes (and or attribute ranges) as a String
getStartTime() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Gets the value of the startTime property.
getStartTimeVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the startTimeVariable property.
getStaticArgs() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get the arguments for the static command
getStaticCmd() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get the static command to be executed
getStaticIcon() - Method in class weka.gui.beans.BeanVisual
Returns the static icon
getStaticWorkingDir() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get the working directory for the static command
getStatistic(String) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
Get the value of the named statistic
getStatistic(String, int) - Method in interface weka.classifiers.evaluation.InformationRetrievalEvaluationMetric
Get the value of the named statistic for the given class index.
getStatisticNames() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
Get a list of the names of the statistics that this metrics computes.
getStats() - Method in class weka.core.neighboursearch.PerformanceStats
Returns a string representation of the statistics.
getStats() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns a string representation of the statistics.
getStatus() - Method in class weka.gui.beans.IncrementalClassifierEvent
Get the status
getStatus() - Method in class weka.gui.beans.InstanceEvent
Get the status
getStatusFrequency() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Get how often progress is reported to the status bar.
getStatusFrequency() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Get how often progress is reported to the status bar.
getStatusMessage() - Method in class weka.experiment.TaskStatusInfo
Get the status message.
getStatusTable() - Method in class weka.gui.beans.LogPanel
The JTable used for the status messages (in case clients want to attach listeners etc.)
getStatusVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the statusVariable property.
getStdDev() - Method in class weka.estimators.KernelEstimator
Return the standard deviation of this kernel estimator.
getStdDev() - Method in class weka.estimators.NormalEstimator
Return the value of the standard deviation of this normal estimator.
getStdDev(int, int) - Method in class weka.experiment.ResultMatrix
returns the std deviation at the given position, if the position is valid, otherwise 0.
getStdDevCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the standard deviation of coords per point.
getStdDevIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the standard deviation of internal nodes visited.
getStdDevLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the standard deviation of leaves visited.
getStdDevPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the standard deviation of points visited.
getStdDevPrec() - Method in class weka.experiment.ResultMatrix
returns the current standard deviation precision.
getStdDevPrecision() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the default precision for the stddevs.
getStddevValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
 
getStdDevWidth() - Method in class weka.experiment.ResultMatrix
returns the current width for the std dev.
getStdError() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the stdError property.
getStemmer() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the current stemming algorithm, null if none is used.
getStemmer() - Method in class weka.classifiers.functions.SGDText
Returns the current stemming algorithm, null if none is used.
getStemmer() - Method in class weka.core.converters.DictionarySaver
Returns the current stemming algorithm, null if none is used.
getStemmer() - Method in class weka.core.DictionaryBuilder
Returns the current stemming algorithm, null if none is used.
getStemmer() - Method in class weka.core.stemmers.SnowballStemmer
returns the name of the current stemmer, null if none is set.
getStemmer() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Returns the current stemming algorithm, null if none is used.
getStemmer() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the current stemming algorithm, null if none is used.
getStep() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Get the step that owns this viewer.
getStepInteractiveViewActionNames() - Method in class weka.gui.knowledgeflow.StepVisual
Get a set of fully qualified names of interactive viewers that the wrapped step provides.
getStepInteractiveViewComponent(String) - Method in class weka.gui.knowledgeflow.StepVisual
Gets an instance of the named step interactive viewer component
getStepManager() - Method in class weka.gui.knowledgeflow.StepVisual
Get the step manager for this visual
getStepManager() - Method in class weka.knowledgeflow.steps.BaseStep
Get the step manager for this step
getStepManager() - Method in interface weka.knowledgeflow.steps.Step
Get the step manager in use with this step
getStepMustRunSingleThreaded() - Method in interface weka.knowledgeflow.StepManager
Returns true if the step managed by this step manager has been marked as one that must run single-threaded.
getStepMustRunSingleThreaded() - Method in class weka.knowledgeflow.StepManagerImpl
Get whether the managed step must run single-threaded.
getStepName() - Method in class weka.gui.knowledgeflow.StepVisual
Convenience method for getting the name of the step that this visual wraps
getStepOutgoingConnectionTypes() - Method in class weka.knowledgeflow.StepManagerImpl
Used by the rendering routine in LayoutPanel to ensure that connections downstream from a deleted connection get rendered in grey rather than red.
getStepProperties(String) - Method in class weka.knowledgeflow.JobEnvironment
Get the step properties for a named step
getStepProperty(String) - Method in class weka.knowledgeflow.StepManagerImpl
Get a named property for this step.
getSteps() - Method in class weka.knowledgeflow.Flow
Get a list of the Steps in this Flow
getStepSize() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the value of StepSize.
getStepsize() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Gets the value of the stepsize property.
getStepSize() - Method in class weka.experiment.LearningRateResultProducer
Get the value of StepSize.
getStepToWaitFor() - Method in class weka.knowledgeflow.steps.Block
Get the step to wait for
getStepVisual() - Method in class weka.knowledgeflow.StepManagerImpl
Get the step visual in use (if running in a visual environment)
getStop() - Method in class weka.core.Debug.Clock
returns the stop time or, if still running, the current time
getStopwords() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
returns the file used for obtaining the stopwords, if the file represents a directory then the default ones are used.
getStopwords() - Method in class weka.core.stopwords.MultiStopwords
Returns the stopwords algorithms.
getStopwordsHandler() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Gets the stopwords handler.
getStopwordsHandler() - Method in class weka.classifiers.functions.SGDText
Gets the stopwords handler.
getStopwordsHandler() - Method in class weka.core.converters.DictionarySaver
Gets the stopwords handler.
getStopwordsHandler() - Method in class weka.core.DictionaryBuilder
Gets the stopwords handler.
getStopwordsHandler() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Gets the stopwords handler.
getStopwordsHandler() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets the stopwords handler.
getStoreName() - Method in class weka.core.Settings
Get the store name for these settings
getStoreOutOfBagPredictions() - Method in class weka.classifiers.meta.Bagging
Get whether the out of bag predictions are stored.
getString() - Method in class weka.core.Trie.TrieNode
returns the full string up to the root
getStringAttributes() - Method in class weka.core.converters.CSVLoader
Returns the current attribute range to be forced to type string.
getStringSelection() - Method in class weka.gui.arffviewer.ArffTable
returns the selected content in a StringSelection that can be copied to the clipboard and used in Excel, if nothing is selected the whole table is copied to the clipboard
getStroke() - Method in class weka.gui.visualize.PostscriptGraphics
 
getStructure() - Method in class weka.core.converters.AbstractLoader
 
getStructure() - Method in class weka.core.converters.ArffLoader.ArffReader
Returns the header format
getStructure() - Method in class weka.core.converters.ArffLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.C45Loader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.ConverterUtils.DataSource
returns the structure of the data.
getStructure(int) - Method in class weka.core.converters.ConverterUtils.DataSource
returns the structure of the data, with the defined class index.
getStructure() - Method in class weka.core.converters.CSVLoader
 
getStructure() - Method in class weka.core.converters.DatabaseLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.JSONLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.LibSVMLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in interface weka.core.converters.Loader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.MatlabLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.SerializedInstancesLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.SVMLightLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.TextDirectoryLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.XRFFLoader
Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure(String) - Method in class weka.gui.beans.Associator
Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.ClassAssigner
Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.ClassValuePicker
 
getStructure(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.FlowByExpression
Get the structure of the output encapsulated in the named event.
getStructure() - Method in class weka.gui.beans.IncrementalClassifierEvent
Get the instances structure (may be null if this is not a NEW_BATCH event)
getStructure() - Method in class weka.gui.beans.InstanceEvent
Get the instances structure (may be null if this is not a FORMAT_AVAILABLE event)
getStructure(String) - Method in class weka.gui.beans.Join
Get the output instances structure given an input event type
getStructure(String) - Method in class weka.gui.beans.Loader
Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.Sorter
Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in interface weka.gui.beans.StructureProducer
Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.TestSetMaker
Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.TrainingSetMaker
Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.TrainTestSplitMaker
Get the structure of the output encapsulated in the named event.
getSubFlow() - Method in class weka.gui.beans.MetaBean
 
getSubjectIDVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the subjectIDVariable property.
getSubmenuTitle() - Method in interface weka.gui.MainMenuExtension
Returns the name of the submenu.
getSubsequenceLength() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the length of the subsequence
getSubSpaceSize() - Method in class weka.classifiers.meta.RandomSubSpace
Gets the size of each subSpace, as a percentage of the training set size.
getSubtreeRaising() - Method in class weka.classifiers.trees.J48
Get the value of subtreeRaising.
getSuccess() - Method in class weka.core.CheckGOE
returns the success of the tests
getSuccess() - Method in class weka.core.CheckOptionHandler
returns the success of the tests
getSuitableTargets(EventSetDescriptor) - Method in class weka.gui.beans.MetaBean
Return a list of input beans capable of receiving the supplied event
getSummary() - Method in class weka.gui.SetInstancesPanel
Gets the instances summary panel associated with this panel.
getSumOfCounts() - Method in class weka.estimators.DiscreteEstimator
Get the sum of all the counts
getSumOfSquares() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Gets the value of the sumOfSquares property.
getSumOfWeights() - Method in class weka.estimators.NormalEstimator
Return the sum of the weights for this normal estimator.
getSumSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the sumSquaredError property.
getSumSquaredRegression() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the sumSquaredRegression property.
getSupport() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Gets the value of the support property.
getSupport() - Method in class weka.core.pmml.jaxbbindings.Itemset
Gets the value of the support property.
getSupport() - Method in class weka.core.pmml.jaxbbindings.Sequence
Gets the value of the support property.
getSupport() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Gets the value of the support property.
getSupportedCursorScrollType() - Method in class weka.experiment.DatabaseUtils
Returns the type of scrolling that the cursor supports, -1 if not supported or not connected.
getSupportVector() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
Gets the value of the supportVector property.
getSupportVectorMachineModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the supportVectorMachineModel property.
getSupportVectors() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Gets the value of the supportVectors property.
getSuppressMappingReport() - Method in class weka.classifiers.misc.InputMappedClassifier
Get whether to suppress output the report of model to input mappings.
getSuppressOutput() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns whether to the regular output is suppressed in case the output is stored in a file.
getSvmRepresentation() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Gets the value of the svmRepresentation property.
getSymbolContainer() - Method in class weka.core.expressionlanguage.parser.Parser
 
getSymbolContainer() - Method in class weka.core.json.Parser
 
getSystemInfo() - Method in class weka.core.SystemInfo
returns a copy of the system info.
getSystemLookAndFeel() - Static method in class weka.gui.LookAndFeel
returns the system LnF classname
getSystemWide() - Static method in class weka.core.Environment
Get the singleton system-wide (visible to every class in the running VM) set of environment variables.
getT1() - Method in class weka.clusterers.Canopy
Get the T1 distance.
getT2() - Method in class weka.clusterers.Canopy
Get the T2 distance to use.
getTabbedPane() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns the tabbedpane instance
getTabbedPane() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getTabbedPane() - Method in class weka.gui.explorer.Explorer
returns the tabbed pane of the Explorer
getTable() - Method in class weka.gui.arffviewer.ArffPanel
returns the table component
getTable() - Method in class weka.gui.InteractiveTablePanel
Get the JTable component
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class weka.gui.arffviewer.ArffTableCellRenderer
Returns the default table cell renderer.
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class weka.gui.sql.ResultSetTableCellRenderer
Returns the default table cell renderer.
getTableLocator() - Method in class weka.core.pmml.jaxbbindings.ChildParent
Gets the value of the tableLocator property.
getTableLocator() - Method in class weka.core.pmml.jaxbbindings.MapValues
Gets the value of the tableLocator property.
getTableLocator() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Gets the value of the tableLocator property.
getTableModel() - Method in class weka.gui.AttributeSelectionPanel
Get the table model in use (or null if no instances have been set yet).
getTableName() - Method in class weka.core.converters.DatabaseSaver
Gets the table's name.
getTabs() - Static method in class weka.gui.explorer.ExplorerDefaults
returns an array with the classnames of all the additional panels to display as tabs in the Explorer.
getTabTitle(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getTabTitle() - Method in class weka.gui.explorer.AssociationsPanel
Returns the title for the tab in the Explorer
getTabTitle() - Method in class weka.gui.explorer.AttributeSelectionPanel
Returns the title for the tab in the Explorer
getTabTitle() - Method in class weka.gui.explorer.ClassifierPanel
Returns the title for the tab in the Explorer.
getTabTitle() - Method in class weka.gui.explorer.ClustererPanel
Returns the title for the tab in the Explorer
getTabTitle() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
Returns the title for the tab in the Explorer
getTabTitle() - Method in class weka.gui.explorer.PreprocessPanel
Returns the title for the tab in the Explorer
getTabTitle() - Method in class weka.gui.explorer.VisualizePanel
Returns the title for the tab in the Explorer
getTabTitle(int) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the title of the tab at the supplied index
getTabTitleToolTip() - Method in class weka.gui.explorer.AssociationsPanel
Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.AttributeSelectionPanel
Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.ClassifierPanel
Returns the tooltip for the tab in the Explorer.
getTabTitleToolTip() - Method in class weka.gui.explorer.ClustererPanel
Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.PreprocessPanel
Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.VisualizePanel
Returns the tooltip for the tab in the Explorer
getTabuList() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
 
getTabuList() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
 
getTags() - Method in class weka.core.SelectedTag
Gets the set of all valid Tags.
getTags() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
getTags() - Method in class weka.gui.ColorEditor
Not applicable - returns null
getTags() - Method in class weka.gui.CostMatrixEditor
Some objects can return tags, but a cost matrix cannot.
getTags() - Method in class weka.gui.EnvironmentField
 
getTags() - Method in class weka.gui.GenericArrayEditor
Returns null as we don't support getting values as tags.
getTags() - Method in class weka.gui.GenericObjectEditor
Returns null as we don't support getting values as tags.
getTags() - Method in class weka.gui.PasswordField
 
getTags() - Method in class weka.gui.SelectedTagEditor
Gets the list of tags that can be selected from.
getTags() - Method in class weka.gui.SimpleDateFormatEditor
Some objects can return tags, but a date format cannot.
getTanimoto() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Gets the value of the tanimoto property.
getTarget() - Method in class weka.core.packageManagement.Dependency
Get the target package constraint.
getTarget() - Method in class weka.core.pmml.jaxbbindings.Anova
Gets the value of the target property.
getTarget() - Method in class weka.core.pmml.jaxbbindings.Targets
Gets the value of the target property.
getTarget() - Method in class weka.gui.beans.BeanConnection
Returns the target BeanInstance for this connection
getTarget() - Method in class weka.gui.treevisualizer.Edge
Get the value of target.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PCell
Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PCovCell
Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PPCell
Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Gets the value of the targetCategory property.
getTargetField() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the targetField property.
getTargetField() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Gets the value of the targetField property.
getTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.LiftData
Gets the value of the targetFieldDisplayValue property.
getTargetFieldName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Gets the value of the targetFieldName property.
getTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.LiftData
Gets the value of the targetFieldValue property.
getTargetMetaData() - Method in class weka.core.pmml.MiningSchema
Get the Target meta data.
getTargetReferenceCategory() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the targetReferenceCategory property.
getTargets() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Gets the value of the targets property.
getTargets() - Method in class weka.core.pmml.jaxbbindings.Regression
Gets the value of the targets property.
getTargetValue() - Method in class weka.core.pmml.jaxbbindings.Target
Gets the value of the targetValue property.
getTargetValueCount() - Method in class weka.core.pmml.jaxbbindings.TargetValueCounts
Gets the value of the targetValueCount property.
getTargetValueCounts() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
Gets the value of the targetValueCounts property.
getTargetValueCounts() - Method in class weka.core.pmml.jaxbbindings.PairCounts
Gets the value of the targetValueCounts property.
getTargetVariableName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the targetVariableName property.
getTaskResult() - Method in class weka.experiment.TaskStatusInfo
Get the returnable result of this task.
getTaskStatus() - Method in class weka.experiment.RemoteExperimentSubTask
 
getTaskStatus() - Method in interface weka.experiment.Task
Clients should be able to call this method at any time to obtain information on a current task.
getTaskStatus() - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Return status information for this sub task
getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
Gets the value of the taxonomy property.
getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the taxonomy property.
getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
Gets the value of the taxonomy property.
getTCol() - Method in class weka.core.pmml.jaxbbindings.PCovCell
Gets the value of the tCol property.
getTechnicalInformation() - Method in class weka.associations.Apriori
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.associations.FPGrowth
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.attributeSelection.CfsSubsetEval
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayes
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.ADNode
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.BIFReader
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.K2
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.TAN
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.K2
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.TAN
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.BVDecompose
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.BVDecomposeSegCVSub
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.GaussianProcesses
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.Logistic
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.SimpleLogistic
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.SMO
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.SMOreg
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.Puk
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.RegSMO
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.VotedPerceptron
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.lazy.IBk
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.lazy.KStar
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.lazy.LWL
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.AdaBoostM1
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.AdditiveRegression
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.Bagging
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.ClassificationViaRegression
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.CVParameterSelection
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.LogitBoost
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.RandomSubSpace
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.Stacking
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.Vote
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.DecisionTable
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.JRip
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.M5Rules
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.OneR
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.PART
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.HoeffdingTree
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.J48
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.LMT
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.m5.M5Base
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.RandomForest
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.clusterers.Canopy
 
getTechnicalInformation() - Method in class weka.clusterers.Cobweb
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.clusterers.FarthestFirst
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.clusterers.SimpleKMeans
 
getTechnicalInformation() - Method in class weka.core.ChebyshevDistance
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.ConjugateGradientOptimization
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.EuclideanDistance
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.ManhattanDistance
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.MinkowskiDistance
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.BallTree
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.CoverTree
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.KDTree
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.Optimization
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.stemmers.LovinsStemmer
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in interface weka.core.TechnicalInformationHandler
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.datagenerators.classifiers.classification.LED24
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.experiment.PairedCorrectedTTester
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.supervised.attribute.Discretize
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.supervised.attribute.NominalToBinary
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.supervised.attribute.PartitionMembership
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTempDir() - Static method in class weka.core.Debug
returns the system temp directory
getTempDirectory() - Method in class weka.gui.beans.Sorter
Get the directory to use for temporary files during incremental operation
getTempDirectory() - Method in class weka.knowledgeflow.steps.Sorter
Get the directory to use for temporary files during incremental operation
getTemplateFlow(String) - Method in class weka.gui.knowledgeflow.TemplateManager
Get the flow for the supplied description
getTemplateManager() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Get the template manager
getTester() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the display name of the preferred Tester algorithm.
getTestEvaluator() - Method in class weka.attributeSelection.CheckAttributeSelection
Gets whether the evaluator is being tested or the search method.
getTestOrTrain() - Method in class weka.gui.beans.BatchClustererEvent
Get whether the set of instances is a test or a training set
getTestPredictions(Classifier, Instances) - Method in class weka.classifiers.evaluation.EvaluationUtils
Generate a bunch of predictions ready for processing, by performing a evaluation on a test set assuming the classifier is already trained.
getTestSet() - Method in class weka.gui.beans.BatchClassifierEvent
Get the test set
getTestSet() - Method in class weka.gui.beans.BatchClustererEvent
Get the training/test set
getTestSet() - Method in class weka.gui.beans.TestSetEvent
Get the test set instances
getTestsetDir() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the currently set directory for the test sets.
getTestsetPrefix() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the currently set prefix.
getTestsetSuffix() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the currently set suffix.
getTestStatistic() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the testStatistic property.
getText() - Method in class weka.gui.beans.BeanVisual
Get the visual's label
getText() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
Return the text from the combo box.
getText() - Method in class weka.gui.beans.TextEvent
Describe getText method here.
getText() - Method in class weka.gui.EnvironmentField
Return the text from the combo box.
getText() - Method in class weka.gui.PasswordField
 
getTextDocument() - Method in class weka.core.pmml.jaxbbindings.TextCorpus
Gets the value of the textDocument property.
getTextModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the textModel property.
getTextTitle() - Method in class weka.gui.beans.TextEvent
Describe getTextTitle method here.
getTFTransform() - Method in class weka.core.DictionaryBuilder
Gets whether if the word frequencies should be transformed into log(1+fij) where fij is the frequency of word i in document(instance) j.
getTFTransform() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Gets whether if the word frequencies should be transformed into log(1+fij) where fij is the frequency of word i in document(instance) j.
getTFTransform() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets whether if the word frequencies should be transformed into log(1+fij) where fij is the frequency of word i in document(instance) j.
getThreshold() - Method in class weka.attributeSelection.ClassifierAttributeEval
Get the value of the threshold
getThreshold() - Method in class weka.attributeSelection.GreedyStepwise
Returns the threshold so that the AttributeSelection module can discard attributes from the ranking.
getThreshold() - Method in interface weka.attributeSelection.RankedOutputSearch
Gets the threshold by which attributes can be discarded.
getThreshold() - Method in class weka.attributeSelection.Ranker
Returns the threshold so that the AttributeSelection module can discard attributes from the ranking.
getThreshold() - Method in class weka.attributeSelection.WrapperSubsetEval
Get the value of the threshold
getThreshold() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Gets the value of the threshold property.
getThreshold() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Gets the threshold for the max error when predicting a numeric class.
getThresholdInstance(Instances, double) - Static method in class weka.classifiers.evaluation.ThresholdCurve
Gets the index of the instance with the closest threshold value to the desired target
getThresholds() - Method in interface weka.classifiers.evaluation.ThresholdProducingMetric
Returns the threshold values, one for each class value, associated with the value of the measure that is returned.
getTime() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
Gets the value of the time property.
getTime() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
Gets the value of the time property.
getTime() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
Gets the value of the time property.
getTime() - Method in class weka.core.pmml.jaxbbindings.Sequence
Gets the value of the time property.
getTime() - Method in class weka.core.pmml.jaxbbindings.TimeValue
Gets the value of the time property.
getTimeAnchor() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Gets the value of the timeAnchor property.
getTimeCycle() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Gets the value of the timeCycle property.
getTimeException() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Gets the value of the timeException property.
getTimeSeriesModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the timeSeriesModel property.
getTimestamp() - Method in class weka.core.pmml.jaxbbindings.Header
Gets the value of the timestamp property.
getTimestamp() - Method in class weka.core.pmml.jaxbbindings.TimeValue
Gets the value of the timestamp property.
getTimestamp() - Static method in class weka.experiment.CrossValidationResultProducer
Gets a Double representing the current date and time.
getTimestamp() - Static method in class weka.experiment.ExplicitTestsetResultProducer
Gets a Double representing the current date and time.
getTimestamp() - Static method in class weka.experiment.RandomSplitResultProducer
Gets a Double representing the current date and time.
getTimeValue() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Gets the value of the timeValue property.
getTimeValue() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Gets the value of the timeValue property.
getTitle() - Method in class weka.gui.arffviewer.ArffPanel
returns the title for the Tab, i.e.
getTitle() - Method in class weka.gui.scripting.FileScriptingPanel
Returns the current title for the frame/dialog.
getTitle() - Method in class weka.gui.scripting.ScriptingPanel
Returns the current title for the frame/dialog.
getTitle() - Method in class weka.gui.SimpleCLIPanel
Returns the current title for the frame/dialog.
getToken(StreamTokenizer) - Static method in class weka.core.converters.ConverterUtils
Gets token.
getToken(StreamTokenizer) - Static method in class weka.core.converters.StreamTokenizerUtils
Gets token.
getTokenizer() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the current tokenizer algorithm.
getTokenizer() - Method in class weka.classifiers.functions.SGDText
Returns the current tokenizer algorithm.
getTokenizer() - Method in class weka.core.converters.DictionarySaver
Returns the current tokenizer algorithm.
getTokenizer() - Method in class weka.core.DictionaryBuilder
Returns the current tokenizer algorithm.
getTokenizer() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Returns the current tokenizer algorithm.
getTokenizer() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the current tokenizer algorithm.
getTolerance() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
returns the current tolerance
getToleranceParameter() - Method in class weka.classifiers.functions.SMO
Get the value of tolerance parameter.
getToolTip() - Method in class weka.core.Settings.SettingKey
Get the tool tip text for this setting
getToolTipLocation(MouseEvent) - Method in class weka.gui.ETable
Places tool tips over the cell they correspond to.
getToolTipText() - Method in class weka.experiment.PairedCorrectedTTester
returns a string that is displayed as tooltip on the "perform test" button in the experimenter
getToolTipText() - Method in class weka.experiment.PairedTTester
returns a string that is displayed as tooltip on the "perform test" button in the experimenter
getToolTipText() - Method in interface weka.experiment.Tester
returns a string that is displayed as tooltip on the "perform test" button in the experimenter
getToolTipText(MouseEvent) - Method in class weka.gui.AttributeVisualizationPanel
Returns "<nominal value> [<nominal value count>]" if displaying a bar plot and mouse is on some bar.
getToolTipText() - Method in class weka.gui.GenericObjectEditor.GOETreeNode
Get the tool tip for this node
getToolTipText(MouseEvent) - Method in class weka.gui.knowledgeflow.StepTree
Get tool tip text for the step closest to the mouse location in the StepTree.
getToolTipText() - Method in class weka.gui.knowledgeflow.StepTreeLeafDetails
Get the tool tip for this leaf
getToolTipText(PrintableComponent) - Static method in class weka.gui.visualize.PrintableComponent
Returns a tooltip only if the user wants it.
getTop() - Method in class weka.gui.treevisualizer.Node
Get the value of top.
getTotalCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the total sum of coords per point.
getTotalCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
Recursively finds the total number of nodes there are.
getTotalFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
Gets the value of the totalFreq property.
getTotalGCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
Recursively finds the total number of groups of siblings there are.
getTotalHeight(Node, int) - Static method in class weka.gui.treevisualizer.Node
Recursively finds the total number of levels there are.
getTotalIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the total number of internal nodes visited.
getTotalLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
Returns the total number of leaves visited.
getTotalPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
Returns the total number of points visited.
getTotalSquaresSum() - Method in class weka.core.pmml.jaxbbindings.ContStats
Gets the value of the totalSquaresSum property.
getTotalSupport() - Method in class weka.associations.AssociationRule
Get the total support for this rule (premise + consequence).
getTotalSupport() - Method in class weka.associations.DefaultAssociationRule
 
getTotalTransactions() - Method in class weka.associations.AssociationRule
Get the total number of transactions in the data.
getTotalTransactions() - Method in class weka.associations.DefaultAssociationRule
 
getTotalTransactions() - Method in class weka.associations.ItemSet
Get the total number of transactions
getTotalValuesSum() - Method in class weka.core.pmml.jaxbbindings.ContStats
Gets the value of the totalValuesSum property.
getToYear() - Static method in class weka.core.Copyright
returns the end year of the copyright (i.e., current year)
getTrainingData() - Method in class weka.classifiers.trees.j48.ClassifierTree
 
getTrainingSet() - Method in class weka.gui.beans.TrainingSetEvent
Get the training instances
getTrainingTime() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getTrainIterations() - Method in class weka.classifiers.BVDecompose
Gets the maximum number of boost iterations
getTrainPercent() - Method in class weka.experiment.RandomSplitResultProducer
Get the value of TrainPercent.
getTrainPercent() - Method in class weka.gui.beans.TrainTestSplitMaker
Get the percentage of the data that will be in the training portion of the split
getTrainPercent() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Get the training percentage
getTrainPercentage() - Static method in class weka.gui.experiment.ExperimenterDefaults
returns the training percentage in case of splits.
getTrainPoolSize() - Method in class weka.classifiers.BVDecompose
Get the number of instances in the training pool.
getTrainSet() - Method in class weka.gui.beans.BatchClassifierEvent
Get the train set
getTrainSize() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the training size
getTrainTestPredictions(Classifier, Instances, Instances) - Method in class weka.classifiers.evaluation.EvaluationUtils
Generate a bunch of predictions ready for processing, by performing a evaluation on a test set after training on the given training set.
getTransactionsMustContain() - Method in class weka.associations.FPGrowth
Gets the comma separated list of items that transactions must contain in order to be considered for large item sets and rules.
getTransform() - Method in class weka.gui.visualize.PostscriptGraphics
 
getTransformAllValues() - Method in class weka.filters.supervised.attribute.NominalToBinary
Gets if all nominal values are turned into new attributes, not only if there are more than 2.
getTransformAllValues() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Gets if all nominal values are turned into new attributes, not only if there are more than 2.
getTransformation() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Gets the value of the transformation property.
getTransformationDictionary() - Method in class weka.core.pmml.jaxbbindings.PMML
Gets the value of the transformationDictionary property.
getTransformationDictionary() - Method in class weka.core.pmml.MiningSchema
Get the transformation dictionary .
getTransformBackToOriginal() - Method in class weka.attributeSelection.PrincipalComponents
Gets whether the data is to be transformed back to the original space.
getTranslation() - Method in class weka.filters.unsupervised.attribute.Normalize
Get the translation.
getTreatMissingValuesAsZero() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Get whether missing values are to be treated in the same way as zeros
getTreatXValFoldsSeparately() - Method in class weka.knowledgeflow.steps.ASEvaluator
Get whether to output separate results for each fold of a cross-validation, rather than averaging over folds.
getTreatZeroAsMissing() - Method in class weka.associations.Apriori
Gets whether zeros (i.e.
getTreeModel() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the treeModel property.
getTreeRoot() - Method in class weka.clusterers.Cobweb
Get the root of the tree.
getTrend() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Gets the value of the trend property.
getTrendExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Gets the value of the trendExpoSmooth property.
getTrialsValue() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the trialsValue property.
getTrialsVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the trialsVariable property.
getTrim() - Method in class weka.classifiers.misc.InputMappedClassifier
Get whether to trim white space from each end of names before matching.
getTRow() - Method in class weka.core.pmml.jaxbbindings.PCovCell
Gets the value of the tRow property.
getTrue() - Method in class weka.core.pmml.jaxbbindings.Attribute
Gets the value of the true property.
getTrue() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Gets the value of the true property.
getTrue() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the true property.
getTrue() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the true property.
getTrueNegative() - Method in class weka.classifiers.evaluation.TwoClassStats
Gets the number of negative instances predicted as negative
getTruePositive() - Method in class weka.classifiers.evaluation.TwoClassStats
Gets the number of positive instances predicted as positive
getTruePositiveRate() - Method in class weka.classifiers.evaluation.TwoClassStats
Calculate the true positive rate.
getTrueStepName() - Method in class weka.gui.beans.FlowByExpression
Get the name of the connected step to send "true" instances to
getTrueStepName() - Method in class weka.knowledgeflow.steps.FlowByExpression
Get the name of the connected step to send "true" instances to
getTruncate() - Method in class weka.core.converters.DatabaseSaver
Get whether to truncate (i.e.
getTStart() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
getTStart() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
getTValue() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the tValue property.
getTwoClassStats(int) - Method in class weka.classifiers.evaluation.ConfusionMatrix
Gets the performance with respect to one of the classes as a TwoClassStats object.
getType() - Method in class weka.classifiers.functions.neural.NeuralConnection
 
getType() - Method in class weka.core.AttributeLocator
returns the type of attribute that is located
getType() - Method in class weka.core.pmml.Array
Get the type of this array.
getType() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.ArrayType
Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.TimeException
Gets the value of the type property.
getType(RevisionHandler) - Static method in class weka.core.RevisionUtils
Determines the type of a (sanitized) revision string returned by the RevisionHandler.
getType(String) - Static method in class weka.core.RevisionUtils
Determines the type of a (sanitized) revision string.
getType() - Method in class weka.core.TechnicalInformation
returns the type of this technical information
getType() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the type of the new attribute
getType(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns the TYPE of the attribute at the given position
getType(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns the TYPE of the attribute at the given position
getType(int) - Method in class weka.gui.arffviewer.ArffTableModel
returns the TYPE of the attribute at the given position
getType(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
returns the TYPE of the attribute at the given position
getType() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
Returns the type of event.
getType() - Method in class weka.gui.sql.event.ConnectionEvent
returns the type of this event, CONNECT or DISCONNECT
getU() - Method in class weka.core.Matrix
Deprecated.
Returns the U part of the matrix.
getU() - Method in class weka.core.matrix.LUDecomposition
Return upper triangular factor
getU() - Method in class weka.core.matrix.SingularValueDecomposition
Return the left singular vectors
getUID(String) - Static method in class weka.core.SerializationHelper
reads or creates the serialVersionUID for the given class.
getUID(Class<?>) - Static method in class weka.core.SerializationHelper
reads or creates the serialVersionUID for the given class.
getUnderlyingPackageManager() - Static method in class weka.core.WekaPackageManager
Get the underlying package manager implementation
getUndoBuffer() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getUndoBuffer(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getUniformDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
Gets the value of the uniformDistribution property.
getUniformDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
Gets the value of the uniformDistribution property.
getUnit() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Gets the value of the unit property.
getUnivariateStats() - Method in class weka.core.pmml.jaxbbindings.ModelStats
Gets the value of the univariateStats property.
getUnpruned() - Method in class weka.classifiers.rules.PART
Get the value of unpruned.
getUnpruned() - Method in class weka.classifiers.trees.J48
Get the value of unpruned.
getUnpruned() - Method in class weka.classifiers.trees.m5.M5Base
Get whether unpruned tree/rules are being generated
getUnpruned() - Method in class weka.classifiers.trees.m5.Rule
Get whether unpruned tree/rules are being generated
getUnsortedEigenVectors() - Method in class weka.attributeSelection.PrincipalComponents
Return the unsorted eigenvectors
getUpdateCount() - Method in class weka.core.converters.DatabaseConnection
Dewtermines if the current query retrieves a result set or updates a table
getUpdateIncrementalClassifier() - Method in class weka.gui.beans.Classifier
Get whether an incremental classifier will be updated on the incoming instance stream.
getUpdateIncrementalClassifier() - Method in class weka.knowledgeflow.steps.Classifier
Get whether to update an incremental classifier on an incoming instance stream
getUpdateWeightsOnly() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Gets whether only weights should be udpated.*
getUpper() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
Gets the value of the upper property.
getUpper() - Method in class weka.gui.experiment.RunNumberPanel
Gets the current upper run number.
getUpperBound() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
Get the upper bound of this range
getUpperBoundMinSupport() - Method in class weka.associations.Apriori
Get the value of upperBoundMinSupport.
getUpperBoundMinSupport() - Method in class weka.associations.FPGrowth
Get the value of upperBoundMinSupport.
getUpperCase() - Method in class weka.core.converters.DatabaseConnection
Check if the property checkUpperCaseNames in the DatabaseUtils file is set to true or false.
getUpperComparison() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
Get the upper comparison
getUpperNumericBound() - Method in class weka.core.Attribute
Returns the upper bound of a numeric attribute.
getUpperSize() - Method in class weka.experiment.LearningRateResultProducer
Get the value of UpperSize.
getUrl() - Method in interface weka.core.converters.DatabaseConverter
 
getUrl() - Method in class weka.core.converters.DatabaseLoader
Gets the URL
getUrl() - Method in class weka.core.converters.DatabaseSaver
Gets the database URL.
getURL() - Static method in class weka.core.Copyright
returns the URL of the owner
getURL() - Method in class weka.gui.DatabaseConnectionDialog
Returns URL from dialog
getURL(String, String) - Static method in class weka.gui.Loader
returns a URL for the given filename, can be NULL if it fails
getURL(String) - Method in class weka.gui.Loader
returns a URL for the given filename, can be NULL if it fails
getURL() - Method in class weka.gui.sql.ConnectionPanel
returns the current URL.
getURL() - Method in class weka.gui.sql.event.ResultChangedEvent
returns the database URL that produced the table model
getURL() - Method in class weka.gui.sql.ResultSetTable
returns the database URL that produced the table model
getURL() - Method in class weka.gui.sql.SqlViewer
returns the database URL from the currently active tab in the ResultPanel, otherwise an empty string.
getURL() - Method in class weka.gui.sql.SqlViewerDialog
returns the chosen URL, if any.
getURLFileLoaders() - Static method in class weka.core.converters.ConverterResources
Returns the URL file loaders.
getURLFileLoaders() - Static method in class weka.core.converters.ConverterUtils
returns a vector with the classnames of all the URL file loaders.
getURLLoaderForExtension(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the URL loader to use for this kind of extension, returns null if none can be found.
getURLLoaderForFile(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the URL loader to use for this kind of file, returns null if none can be found.
getURLLoaderForFile(File) - Static method in class weka.core.converters.ConverterUtils
tries to determine the URL loader to use for this kind of file, returns null if none can be found.
getURLLoadersForExtension(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the URL loaders to use for this kind of extension.
getURLLoadersForFile(String) - Static method in class weka.core.converters.ConverterUtils
tries to determine the URL loader to use for this kind of file.
getURLLoadersForFile(File) - Static method in class weka.core.converters.ConverterUtils
tries to determine the URL loaders to use for this kind of file.
getURLPackageInfo(URL) - Method in class weka.core.packageManagement.DefaultPackageManager
Get package information on the package at the given URL.
getURLPackageInfo(URL) - Method in class weka.core.packageManagement.PackageManager
Get package information on the package at the given URL.
getUsage() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Gets the value of the usage property.
getUsageType() - Method in class weka.core.pmml.jaxbbindings.MiningField
Gets the value of the usageType property.
getUsageType() - Method in class weka.core.pmml.MiningFieldMetaInfo
Get the usage type of this field.
getUseADTree() - Method in class weka.classifiers.bayes.BayesNet
Method declaration
getUseAIC() - Method in class weka.classifiers.functions.SimpleLogistic
Get the value of useAIC.
getUseAIC() - Method in class weka.classifiers.trees.LMT
Get the value of useAIC.
getUseAIC() - Method in class weka.classifiers.trees.lmt.LogisticBase
Get the value of useAIC.
getUseArcReversal() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
get use the arc reversal operation
getUseArcReversal() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
get use the arc reversal operation
getUseAverage() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Get the value of UseAverage.
getUseBetterEncoding() - Method in class weka.filters.supervised.attribute.Discretize
Gets whether better encoding is to be used for MDL.
getUseBinNumbers() - Method in class weka.filters.supervised.attribute.Discretize
Gets whether bin numbers rather than ranges should be used for discretized attributes.
getUseBinNumbers() - Method in class weka.filters.unsupervised.attribute.Discretize
Gets whether bin numbers rather than ranges should be used for discretized attributes.
getUseBlanks() - Method in class weka.gui.scripting.SyntaxDocument
Returns whether blanks are used instead of tabs.
getUseClassification() - Static method in class weka.gui.experiment.ExperimenterDefaults
whether classification or regression is used.
getUseConjugateGradientDescent() - Method in class weka.classifiers.functions.Logistic
Gets whether to use conjugate gradient descent rather than BFGS updates.
getUseCpuTime() - Method in class weka.core.Debug.Clock
returns whether the use of CPU is time is enabled/disabled (regardless whether the system supports it or not)
getUseCrossOver() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
getUseCrossOver() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
getUseCrossValidation() - Method in class weka.classifiers.functions.SimpleLogistic
Get the value of useCrossValidation.
getUseCustomDimensions() - Method in class weka.gui.visualize.JComponentWriter
whether custom dimensions are to used for the size of the image
getUsedAttributes() - Method in class weka.classifiers.trees.lmt.LogisticBase
Returns an array of the indices of the attributes used in the logistic model.
getUseDouble() - Method in class weka.core.converters.MatlabSaver
Returns whether double or single precision is used.
getUseDynamic() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get whether to execute dynamic commands
getUseEnvironmentPropertyEditors() - Method in class weka.gui.PropertySheetPanel
Get whether to use environment property editors for string and file properties
getUseEqualFrequency() - Method in class weka.classifiers.meta.RegressionByDiscretization
Get the value of UseEqualFrequency.
getUseEqualFrequency() - Method in class weka.filters.unsupervised.attribute.Discretize
Get the value of UseEqualFrequency.
getUseEqualFrequency() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Get the value of UseEqualFrequency.
getUseEstimatedPriors() - Method in class weka.classifiers.meta.LogitBoost
Get whether resampling is turned on
getUseGUI() - Method in class weka.core.Memory
whether to display a dialog in case of a problem (= TRUE) or just print on stderr (= FALSE)
getUseIBk() - Method in class weka.classifiers.rules.DecisionTable
Gets whether IBk is being used instead of the majority class
getUseKernelEstimator() - Method in class weka.classifiers.bayes.NaiveBayes
Gets if kernel estimator is being used.
getUseKononenko() - Method in class weka.filters.supervised.attribute.Discretize
Gets whether Kononenko's MDL criterion is to be used.
getUseLaplace() - Method in class weka.classifiers.trees.J48
Get the value of useLaplace.
getUseLeastValues() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Gets whether to use values with least or most instances
getUseLowerOrder() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Gets whether lower-order terms are used.
getUseMDLcorrection() - Method in class weka.classifiers.rules.PART
Get the value of useMDLcorrection.
getUseMDLcorrection() - Method in class weka.classifiers.trees.J48
Get the value of useMDLcorrection.
getUseMissing() - Method in class weka.filters.unsupervised.attribute.AddNoise
Gets the flag if missing values are treated as extra values.
getUseMutation() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
getUseMutation() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
getUseNormalization() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns whether normalization is used.
getUseNormalizedEntropy() - Method in class weka.estimators.UnivariateMixtureEstimator
 
getUseORForMustContainList() - Method in class weka.associations.FPGrowth
Gets whether OR is to be used rather than AND when considering must contain lists.
getUsePairwiseCoupling() - Method in class weka.classifiers.meta.MultiClassClassifier
Gets whether to use pairwise coupling with 1-vs-1 classification to improve probability estimates.
getUsePercentageSplit() - Method in class weka.attributeSelection.ClassifierSubsetEval
Get whether to perform a percentage split on the training data for evaluation
getUseProb() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
 
getUsePropertyIterator() - Method in class weka.experiment.Experiment
Gets whether the custom property iterator should be used.
getUsePruning() - Method in class weka.classifiers.rules.JRip
Gets whether pruning is performed
getUseQRDecomposition() - Method in class weka.classifiers.functions.LinearRegression
Get whether to use QR decomposition.
getUser() - Method in interface weka.core.converters.DatabaseConverter
 
getUser() - Method in class weka.core.converters.DatabaseLoader
Gets the user name
getUser() - Method in class weka.core.converters.DatabaseSaver
Gets the database user.
getUser() - Method in class weka.gui.sql.ConnectionPanel
returns the current User.
getUser() - Method in class weka.gui.sql.event.ResultChangedEvent
returns the user that produced the table model
getUser() - Method in class weka.gui.sql.ResultSetTable
returns the user that produced the table model
getUser() - Method in class weka.gui.sql.SqlViewer
returns the user from the currently active tab in the ResultPanel, otherwise an empty string.
getUser() - Method in class weka.gui.sql.SqlViewerDialog
returns the chosen user, if any.
getUseRelativePath() - Method in class weka.core.converters.AbstractFileLoader
Gets whether relative paths are to be used
getUseRelativePath() - Method in class weka.core.converters.AbstractFileSaver
Gets whether relative paths are to be used
getUseRelativePath() - Method in interface weka.core.converters.FileSourcedConverter
Gets whether relative paths are to be used
getUseRelativePath() - Method in class weka.gui.beans.SerializedModelSaver
Get whether to use relative paths for the directory.
getUseRelativePaths() - Static method in class weka.gui.experiment.ExperimenterDefaults
whether relative paths are used by default.
getUseResampling() - Method in class weka.classifiers.meta.AdaBoostM1
Get whether resampling is turned on
getUseResampling() - Method in class weka.classifiers.meta.LogitBoost
Get whether resampling is turned on
getUsername() - Method in class weka.experiment.DatabaseUtils
Get the database username.
getUsername() - Method in class weka.gui.DatabaseConnectionDialog
Returns Username from dialog
getUserOptions() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
returns the options the user supplied for the kernel
getUserOptions() - Method in class weka.core.CheckOptionHandler
Gets the current user-supplied options (creates a copy)
getUserVisiblePerspectives() - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
Get the list of perspectives that the user has specified should be visible in the application
getUseShortIdentifiers() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Get whether short identifiers are to be output.
getUseShortIDs() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Get whether short IDs are to be used.
getUseStars() - Method in class weka.core.Javadoc
whether the Javadoc is prefixed with "*"
getUseSupervisedDiscretization() - Method in class weka.classifiers.bayes.NaiveBayes
Get whether supervised discretization is to be used.
getUseTab() - Method in class weka.classifiers.evaluation.output.prediction.CSV
Returns whether tab is used as separator.
getUseTabs() - Method in class weka.core.converters.MatlabSaver
Returns whether tabs are used instead of blanks.
getUseTournamentSelection() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
getUseTournamentSelection() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
getUseTraining() - Method in class weka.attributeSelection.ClassifierSubsetEval
Get if training data is to be used instead of hold out/test data
getUseTree() - Method in class weka.classifiers.trees.m5.Rule
get whether an m5 tree is being used rather than rules
getUseUnsmoothed() - Method in class weka.classifiers.trees.m5.M5Base
Get whether or not smoothing is being used
getUseWordFrequencies() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Get whether to use word frequencies rather than binary bag of words representation.
getUseWordFrequencies() - Method in class weka.classifiers.functions.SGDText
Get whether to use word frequencies rather than binary bag of words representation.
getV() - Method in class weka.core.matrix.EigenvalueDecomposition
Return the eigenvector matrix
getV() - Method in class weka.core.matrix.SingularValueDecomposition
Return the right singular vectors
getValidating() - Method in class weka.core.xml.XMLDocument
returns whether a validating parser is used.
getValidating() - Method in class weka.core.xml.XMLOptions
returns whether a validating parser is used.
getValidationSetSize() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getValidationThreshold() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
getValue() - Method in class weka.core.expressionlanguage.common.Primitives.BooleanVariable
 
getValue() - Method in class weka.core.expressionlanguage.common.Primitives.DoubleVariable
 
getValue() - Method in class weka.core.expressionlanguage.common.Primitives.StringVariable
 
getValue() - Method in class weka.core.json.JSONNode
Returns the stored value.
getValue(Object) - Method in class weka.core.json.JSONNode
Returns the stored value.
getValue() - Method in class weka.core.pmml.FieldMetaInfo.Value
 
getValue() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Category
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Coefficient
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Constant
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Decision
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.DerivedField
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.EventValues
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Extension
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.FieldValue
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Item
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.MatCell
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.OutputField
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.PairCounts
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.PCovCell
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.PPCell
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.ResultField
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.TimeValue
Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Value
Gets the value of the value property.
getValue(Object, PropertyPath.Path) - Static method in class weka.core.PropertyPath
returns the value specified by the given path from the object
getValue(Object, String) - Static method in class weka.core.PropertyPath
returns the value specified by the given path from the object
getValue(TechnicalInformation.Field) - Method in class weka.core.TechnicalInformation
returns the value associated with the given field, or empty if field is not currently stored.
getValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Get the value of the new attribute.
getValue() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
getValue() - Method in class weka.gui.ColorEditor
Get the current color
getValue() - Method in class weka.gui.CostMatrixEditor
Gets the cost matrix that is being edited.
getValue() - Method in class weka.gui.EnvironmentField
 
getValue() - Method in class weka.gui.FileEnvironmentField
 
getValue() - Method in class weka.gui.GenericArrayEditor
Gets the current object array.
getValue() - Method in class weka.gui.GenericObjectEditor
Gets the current, configured object.
getValue() - Method in class weka.gui.HierarchyPropertyParser
Get the value of current node
getValue() - Method in class weka.gui.PasswordField
 
getValue() - Method in class weka.gui.SimpleDateFormatEditor
Gets the date format that is being edited.
getValue() - Method in class weka.gui.SortedTableModel.SortContainer
Returns the value to sort on.
getValueAt(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
returns the value for the cell at columnIndex and rowIndex
getValueAt(int, int) - Method in class weka.gui.InteractiveTableModel
 
getValueAt(int, int) - Method in class weka.gui.SortedTableModel
Returns the value for the cell at columnIndex and rowIndex.
getValueAt(int, int) - Method in class weka.gui.sql.ResultSetTableModel
returns the value for the cell at columnindex and rowIndex.
getValueIndex() - Method in class weka.associations.NominalItem
Get the value index for this item.
getValueIndices() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Get the indices of the indicator values.
getValueName(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
returns value of a node
getValueRange() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Get the range containing the indicator values.
getValueReplacements() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
 
getValues(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
returns array of values of a node
getValues(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
returns array of values of a node
getValues() - Method in class weka.core.pmml.jaxbbindings.DataField
Gets the value of the value property.
getValues() - Method in class weka.core.pmml.TargetMetaInfo
Get the values (discrete case only) for this Target.
getValues() - Method in class weka.core.pmml.VectorInstance
Get the Array of values encapsulated in this vector instance
getValues(InterquartileRange.ValueType) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the values for the specified type.
getValues() - Method in class weka.gui.visualize.VisualizePanelEvent
 
getValuesList() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
returns the range for each attribute as string
getVarbValues() - Method in class weka.core.Optimization
Get the variable values.
getVariable(String) - Method in class weka.core.expressionlanguage.common.NoVariables
Tries to fetch the variable.
getVariable(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
Tries to fetch a declared variable
getVariable(String) - Method in class weka.core.expressionlanguage.common.VariableDeclarationsCompositor
Tries to fetch a variable from one of the combined declarations.
getVariable(String) - Method in interface weka.core.expressionlanguage.core.VariableDeclarations
Tries to fetch a variable
getVariable(String) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
Tries to fetch a variable of an instance value
getVariable(String) - Method in class weka.core.expressionlanguage.weka.StatsHelper
Tries to fetch a Stats field
getVariableNames() - Method in class weka.core.Environment
Get the names of the variables (keys) stored in the internal map.
getVariables() - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
Returns the set of variable names that can be initialized
getVariables() - Method in class weka.gui.SimpleCLIPanel
Returns the variables.
getVariableValue(String) - Method in class weka.core.Environment
Get the value for a particular variable.
getVariance() - Method in class weka.classifiers.BVDecompose
Get the calculated variance
getVariance() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
Gets the value of the variance property.
getVariance() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
Gets the value of the variance property.
getVarianceCovered() - Method in class weka.attributeSelection.PrincipalComponents
Gets the proportion of total variance to account for when retaining principal components
getVarianceCovered() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Gets the proportion of total variance to account for when retaining principal components.
getVarsInternalRep() - Method in class weka.knowledgeflow.steps.SetVariables
Get the variables to set (in internal representation)
getVector(String) - Method in class weka.core.pmml.VectorDictionary
Gets a vector from the dictionary corresponding to the supplied ID
getVectorDictionary(Element, MiningSchema) - Static method in class weka.core.pmml.VectorDictionary
Returns a new VectorDictionary constructed from the supplied XML container
getVectorFields() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
Gets the value of the vectorFields property.
getVectorFields() - Method in class weka.core.pmml.VectorInstance
Get the mining fields that are indexed by this vector instance
getVectorId() - Method in class weka.core.pmml.jaxbbindings.SupportVector
Gets the value of the vectorId property.
getVectorInstance() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
Gets the value of the vectorInstance property.
getVectorizedFormat() - Method in class weka.core.DictionaryBuilder
Get the output format
getVectorOfAttrTypes() - Method in class weka.estimators.CheckEstimator.AttrTypes
 
getVerbose() - Method in class weka.associations.Apriori
Gets whether algorithm is run in verbose mode
getVerificationField() - Method in class weka.core.pmml.jaxbbindings.VerificationFields
Gets the value of the verificationField property.
getVerificationFields() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Gets the value of the verificationFields property.
getVersion() - Method in class weka.core.pmml.jaxbbindings.Application
Gets the value of the version property.
getVersion() - Method in class weka.core.pmml.jaxbbindings.PMML
Gets the value of the version property.
getVersion() - Method in class weka.core.xml.XMLSerialization
returns the WEKA version with which the serialized object was created
getVersionComparison() - Method in class weka.core.packageManagement.VersionPackageConstraint
 
getViewerName() - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
Get the name of this viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
The name of this viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
Get the name of this viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.CostBenefitAnalysisInteractiveView
Get the name of this viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.DataVisualizerInteractiveView
Get the name of this viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.GraphViewerInteractiveView
Get the name of this viewr
getViewerName() - Method in class weka.gui.knowledgeflow.steps.ImageViewerInteractiveView
Get the name of the viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.ModelPerformanceChartInteractiveView
Get the name of this viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
Get the name of the viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
Get the name of this viewer
getViewerName() - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
Get the viewer name
getVisible() - Method in class weka.gui.treevisualizer.Node
Get the value of visible.
getVisibleColCount() - Method in class weka.experiment.ResultMatrix
returns the number of visible columns.
getVisiblePerspectives() - Method in class weka.gui.PerspectiveManager
Get a list of visible perspectives.
getVisibleRowCount() - Method in class weka.experiment.ResultMatrix
returns the number of visible rows.
getVisual() - Method in class weka.gui.beans.AbstractDataSink
Get the visual being used by this data source.
getVisual() - Method in class weka.gui.beans.AbstractDataSource
Get the visual being used by this data source.
getVisual() - Method in class weka.gui.beans.AbstractEvaluator
Get the visual
getVisual() - Method in class weka.gui.beans.AbstractTestSetProducer
Get the visual for this bean
getVisual() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Get the visual for this bean
getVisual() - Method in class weka.gui.beans.AbstractTrainingSetProducer
Get the visual for this bean
getVisual() - Method in class weka.gui.beans.Appender
Get the visual representation
getVisual() - Method in class weka.gui.beans.Associator
Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.ClassAssigner
 
getVisual() - Method in class weka.gui.beans.Classifier
Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.ClassValuePicker
 
getVisual() - Method in class weka.gui.beans.Clusterer
Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.CostBenefitAnalysis
 
getVisual() - Method in class weka.gui.beans.DataVisualizer
Return the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.Filter
Get the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.FlowByExpression
 
getVisual() - Method in class weka.gui.beans.GraphViewer
Get the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.ImageSaver
 
getVisual() - Method in class weka.gui.beans.ImageViewer
 
getVisual() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.Join
Get the visual for this step
getVisual() - Method in class weka.gui.beans.MetaBean
Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.ModelPerformanceChart
Return the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.PredictionAppender
Get the visual being used by this data source.
getVisual() - Method in class weka.gui.beans.SerializedModelSaver
Get the visual being used by this data source.
getVisual() - Method in class weka.gui.beans.Sorter
Get the visual representation
getVisual() - Method in class weka.gui.beans.StripChart
Get the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.SubstringLabeler
Get the visual representation
getVisual() - Method in class weka.gui.beans.SubstringReplacer
Get the visual representation
getVisual() - Method in class weka.gui.beans.TextSaver
 
getVisual() - Method in class weka.gui.beans.TextViewer
Get the visual appearance of this bean
getVisual() - Method in interface weka.gui.beans.Visible
Get the visual representation
getVisualizeMenuItem(AssociationRules, String) - Method in interface weka.gui.visualize.plugins.AssociationRuleVisualizePlugin
Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the association rules.
getVisualizeMenuItem(Instances) - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the classifier errors.
getVisualizeMenuItem(String, String) - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the graph in XML BIF format.
getVisualizeMenuItem(String, String) - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the tree in GraphViz's dotty format.
getVisualizeMenuItem(ArrayList<Prediction>, Attribute) - Method in interface weka.gui.visualize.plugins.VisualizePlugin
Get a JMenu or JMenuItem which contain action listeners that perform the visualization, using some but not necessarily all of the data.
getVoteFlag() - Method in class weka.datagenerators.classifiers.classification.RDG1
Gets the vote flag.
getWBias() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the calculated bias according to the Webb definition
getWeight() - Method in class weka.core.pmml.jaxbbindings.Con1
Gets the value of the weight property.
getWeight() - Method in class weka.core.pmml.jaxbbindings.Item
Gets the value of the weight property.
getWeight() - Method in class weka.core.pmml.jaxbbindings.Segment
Gets the value of the weight property.
getWeight() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Gets the value of the weight property.
getWeight() - Method in class weka.filters.unsupervised.attribute.Add
Get the weight of the attribute used.
getWeightByDistance() - Method in class weka.attributeSelection.ReliefFAttributeEval
Get whether nearest neighbours are being weighted by distance
getWeighted() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Gets the value of the weighted property.
getWeighted() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Gets the value of the weighted property.
getWeightField() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the weightField property.
getWeightingKernel() - Method in class weka.classifiers.lazy.LWL
Gets the kernel weighting method to use.
getWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
call this function to get the weights array.
getWeights() - Method in class weka.classifiers.functions.SGD
 
getWeights() - Method in class weka.estimators.KernelEstimator
Return the weights of the kernels.
getWeights() - Method in interface weka.gui.boundaryvisualizer.DataGenerator
Get weights
getWeights() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
 
getWeightThreshold() - Method in class weka.classifiers.meta.AdaBoostM1
Get the degree of weight thresholding
getWeightThreshold() - Method in class weka.classifiers.meta.LogitBoost
Get the degree of weight thresholding
getWeightTrimBeta() - Method in class weka.classifiers.functions.SimpleLogistic
Get the value of weightTrimBeta.
getWeightTrimBeta() - Method in class weka.classifiers.trees.LMT
Get the value of weightTrimBeta.
getWeightTrimBeta() - Method in class weka.classifiers.trees.lmt.LogisticBase
Get the value of weightTrimBeta.
getWekaClassloaderClasspathEntries() - Method in class weka.core.WekaPackageClassLoaderManager
Get the entries in the Weka class loader (i.e.
getWekaHome() - Static method in class weka.core.ResourceUtils
Returns the Weka home directory.
getWekaJFrame(String, Component) - Static method in class weka.core.Utils
Returns a JFrame with the given title.
getWekaPackageClassLoaderManager() - Static method in class weka.core.WekaPackageClassLoaderManager
Gets the singleton instance of the WekaPackageClassLoaderManager
getWidget(String) - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
 
getWidth() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Gets the value of the width property.
getWidth() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the width property.
getWidth() - Method in class weka.core.pmml.jaxbbindings.Neuron
Gets the value of the width property.
getWidth() - Method in class weka.gui.beans.BeanInstance
Gets the width of this bean
getWindow(Class<?>) - Method in class weka.gui.Main
returns the first instance of the given window class, null if none can be found.
getWindow(String) - Method in class weka.gui.Main
returns the first window with the given title, null if none can be found.
getWindowList() - Method in class weka.gui.Main
returns all currently open frames.
getWindowSize() - Method in class weka.classifiers.lazy.IBk
Gets the maximum number of instances allowed in the training pool.
getWindowSize() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Gets the value of the windowSize property.
getWithPrefix(String) - Method in class weka.core.Trie
returns all stored strings that match the given prefix
getWords() - Method in class weka.core.CheckScheme
returns the words used for assembling strings in a comma-separated list.
getWords() - Method in class weka.core.TestInstances
returns the words used for assembling strings in a comma-separated list.
getWordSeparators() - Method in class weka.core.CheckScheme
returns the word separators (chars) to use for assembling strings.
getWordSeparators() - Method in class weka.core.TestInstances
returns the word separators (chars) to use for assembling strings.
getWordsToKeep() - Method in class weka.core.converters.DictionarySaver
Gets the number of words (per class if there is a class attribute assigned) to attempt to keep.
getWordsToKeep() - Method in class weka.core.DictionaryBuilder
Gets the number of words (per class if there is a class attribute assigned) to attempt to keep.
getWordsToKeep() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Gets the number of words (per class if there is a class attribute assigned) to attempt to keep.
getWrappedAlgorithm() - Method in class weka.gui.beans.Associator
Returns the wrapped associator
getWrappedAlgorithm() - Method in class weka.gui.beans.Classifier
Returns the wrapped classifier
getWrappedAlgorithm() - Method in class weka.gui.beans.Clusterer
Returns the wrapped clusterer
getWrappedAlgorithm() - Method in class weka.gui.beans.Filter
Get the filter wrapped by this bean
getWrappedAlgorithm() - Method in class weka.gui.beans.Loader
Get the loader
getWrappedAlgorithm() - Method in class weka.gui.beans.Saver
Get the saver
getWrappedAlgorithm() - Method in interface weka.gui.beans.WekaWrapper
Get the algorithm
getWrappedAlgorithm() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
Get the wrapped algorithm
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.ASEvaluator
Get the class of Weka algorithm wrapped by this wrapper
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
Get the class of the algorithm wrapped by this wrapper step (ASSearch in this case).
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Associator
Get the class of the algorithm being wrapped
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Classifier
 
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Clusterer
Get the class of the wrapped algorithm
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.DataGenerator
Get the class of the wrapped algorithm
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Filter
Get the class of the wrapped algorithm
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Loader
Get the class of the wrapped algorithm
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Saver
Get the class of the wrapped algorithm
getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
Get the class of the algorithm being wrapped
getWrappedRules() - Method in class weka.associations.FilteredAssociationRules
Get the wrapped AssociationRules object.
getWriteMode() - Method in class weka.core.converters.AbstractSaver
Gets the write mode.
getWriteMode() - Method in interface weka.core.converters.Saver
Gets the write mode
getWriter() - Method in class weka.core.converters.AbstractFileSaver
Gets the writer
getWriter(String) - Method in class weka.gui.visualize.PrintableComponent
returns the JComponentWriter associated with the given name, is null if not found.
getWriter(String) - Method in interface weka.gui.visualize.PrintableHandler
returns the JComponentWriter associated with the given name, is null if not found
getWriter(String) - Method in class weka.gui.visualize.PrintablePanel
returns the JComponentWriter associated with the given name, is null if not found
getWriters() - Method in class weka.gui.visualize.PrintableComponent
returns a Hashtable with the current available JComponentWriters in the save dialog.
getWriters() - Method in interface weka.gui.visualize.PrintableHandler
returns a Hashtable with the current available JComponentWriters in the save dialog.
getWriters() - Method in class weka.gui.visualize.PrintablePanel
returns a Hashtable with the current available JComponentWriters in the save dialog.
getWriteTitleString() - Method in class weka.knowledgeflow.steps.TextSaver
Get whether the title string will be written to the file
getWVariance() - Method in class weka.classifiers.BVDecomposeSegCVSub
Get the calculated variance according to the Webb definition
getX() - Method in class weka.classifiers.functions.neural.NeuralConnection
 
getX() - Method in class weka.gui.beans.BeanInstance
Gets the x coordinate of this bean
getX() - Method in class weka.gui.knowledgeflow.StepVisual
Get the x coordinate of this step on the graphical layout
getXAttName() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the name/index of the X axis attribute
getXCoordinates() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Gets the value of the xCoordinates property.
getXCoordinates() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
Gets the value of the xCoordinates property.
getXindex() - Method in class weka.gui.visualize.PlotData2D
Get the currently set x index of the data
getXIndex() - Method in class weka.gui.visualize.VisualizePanel
Get the index of the attribute on the x axis
getXLabelFreq() - Method in class weka.gui.beans.StripChart
Get the frequency by which x axis values are printed
getXLabelFreq() - Method in class weka.knowledgeflow.steps.StripChart
Get the x label frequency
getXMLDocument() - Method in class weka.core.xml.XMLOptions
returns the handler of the XML document.
getXScale() - Method in class weka.gui.visualize.JComponentWriter
returns the scale factor for the x-axis
getXScale() - Method in class weka.gui.visualize.PrintableComponent
returns the scale factor for the x-axis.
getXScale() - Method in interface weka.gui.visualize.PrintableHandler
returns the scale factor for the x-axis
getXScale() - Method in class weka.gui.visualize.PrintablePanel
returns the scale factor for the x-axis
getY() - Method in class weka.classifiers.functions.neural.NeuralConnection
 
getY() - Method in class weka.gui.beans.BeanInstance
Gets the y coordinate of this bean
getY() - Method in class weka.gui.knowledgeflow.StepVisual
Get the y coordinate of this step on the graphical layout
getYAttName() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the name/index of the Y axis attribute
getYCoordinates() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Gets the value of the yCoordinates property.
getYCoordinates() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
Gets the value of the yCoordinates property.
getYindex() - Method in class weka.gui.visualize.PlotData2D
Get the currently set y index of the data
getYIndex() - Method in class weka.gui.visualize.VisualizePanel
Get the index of the attribute on the y axis
getYScale() - Method in class weka.gui.visualize.JComponentWriter
returns the scale factor for the y-axis
getYScale() - Method in class weka.gui.visualize.PrintableComponent
returns the scale factor for the y-axis.
getYScale() - Method in interface weka.gui.visualize.PrintableHandler
returns the scale factor for the y-axis
getYScale() - Method in class weka.gui.visualize.PrintablePanel
returns the scale factor for the y-axis
getZeroThreshold() - Method in class weka.core.pmml.jaxbbindings.VerificationField
Gets the value of the zeroThreshold property.
getZMax() - Method in class weka.classifiers.meta.LogitBoost
Get the Z max threshold on the responses
getZoomSetting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
getZoomSetting() - Method in class weka.gui.knowledgeflow.VisibleLayout
Get the current zoom setting for this layout
gini(Map<String, WeightMass>) - Static method in class weka.classifiers.trees.ht.GiniSplitMetric
Return the gini metric computed from the supplied distribution
GINI_SPLIT - Static variable in class weka.classifiers.trees.HoeffdingTree
 
GiniSplitMetric - Class in weka.classifiers.trees.ht
Implements the gini splitting criterion
GiniSplitMetric() - Constructor for class weka.classifiers.trees.ht.GiniSplitMetric
 
globalBlendTipText() - Method in class weka.classifiers.lazy.KStar
Returns the tip text for this property
globalInfo() - Method in class weka.associations.Apriori
Returns a string describing this associator
globalInfo() - Method in class weka.associations.FilteredAssociator
Returns a string describing this Associator
globalInfo() - Method in class weka.associations.FPGrowth
Returns a string describing this associator
globalInfo() - Method in class weka.attributeSelection.BestFirst
Returns a string describing this search method
globalInfo() - Method in class weka.attributeSelection.CfsSubsetEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns a string describing this attribute evaluator.
globalInfo() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.CorrelationAttributeEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.GainRatioAttributeEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.GreedyStepwise
Returns a string describing this search method
globalInfo() - Method in class weka.attributeSelection.InfoGainAttributeEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.OneRAttributeEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.PrincipalComponents
Returns a string describing this attribute transformer
globalInfo() - Method in class weka.attributeSelection.Ranker
Returns a string describing this search method
globalInfo() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.classifiers.bayes.BayesNet
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayes
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.bayes.net.BIFReader
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
This will return a string describing the class.
globalInfo() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.K2
This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.TAN
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.K2
This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.TAN
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.BVDecompose
Returns a string describing this object
globalInfo() - Method in class weka.classifiers.BVDecomposeSegCVSub
Returns a string describing this object
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.CSV
Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.HTML
Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.InMemory
Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.Null
Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.PlainText
Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.XML
Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.functions.GaussianProcesses
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.LinearRegression
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.functions.Logistic
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.functions.MultilayerPerceptron
This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.functions.SGD
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.SGDText
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.functions.SimpleLogistic
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.SMO
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.SMOreg
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.supportVector.Kernel
Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.Puk
Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.RBFKernel
Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.RegSMO
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Returns a string describing the object
globalInfo() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.VotedPerceptron
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.lazy.IBk
Returns a string describing classifier.
globalInfo() - Method in class weka.classifiers.lazy.KStar
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.lazy.LWL
Returns a string describing classifier.
globalInfo() - Method in class weka.classifiers.meta.AdaBoostM1
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.AdditiveRegression
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns a string describing this search method
globalInfo() - Method in class weka.classifiers.meta.Bagging
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.ClassificationViaRegression
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.CostSensitiveClassifier
 
globalInfo() - Method in class weka.classifiers.meta.CVParameterSelection
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.meta.FilteredClassifier
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.LogitBoost
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.MultiClassClassifier
 
globalInfo() - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
 
globalInfo() - Method in class weka.classifiers.meta.MultiScheme
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.RandomCommittee
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.meta.RandomSubSpace
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.Stacking
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.Vote
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.misc.SerializedClassifier
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.DecisionTable
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.JRip
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.M5Rules
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.OneR
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.PART
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.ZeroR
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.DecisionStump
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.HoeffdingTree
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.J48
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.LMT
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.M5P
returns information about the classifier
globalInfo() - Method in class weka.classifiers.trees.RandomForest
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.RandomTree
Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.REPTree
Returns a string describing classifier
globalInfo() - Method in class weka.clusterers.Canopy
Returns a string describing this clusterer.
globalInfo() - Method in class weka.clusterers.Cobweb
Returns a string describing this clusterer
globalInfo() - Method in class weka.clusterers.EM
Returns a string describing this clusterer
globalInfo() - Method in class weka.clusterers.FarthestFirst
Returns a string describing this clusterer
globalInfo() - Method in class weka.clusterers.FilteredClusterer
Returns a string describing this clusterer.
globalInfo() - Method in class weka.clusterers.HierarchicalClusterer
This will return a string describing the clusterer.
globalInfo() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns a string describing classifier
globalInfo() - Method in class weka.clusterers.SimpleKMeans
Returns a string describing this clusterer.
globalInfo() - Method in class weka.core.ChebyshevDistance
Returns a string describing this object.
globalInfo() - Method in class weka.core.converters.ArffLoader
Returns a string describing this Loader
globalInfo() - Method in class weka.core.converters.ArffSaver
Returns a string describing this Saver
globalInfo() - Method in class weka.core.converters.C45Loader
Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.core.converters.C45Saver
Returns a string describing this Saver
globalInfo() - Method in class weka.core.converters.CSVLoader
Returns a string describing this attribute evaluator.
globalInfo() - Method in class weka.core.converters.CSVSaver
Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.DatabaseLoader
Returns a string describing this Loader
globalInfo() - Method in class weka.core.converters.DatabaseSaver
Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.DictionarySaver
Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.JSONLoader
Returns a string describing this Loader.
globalInfo() - Method in class weka.core.converters.JSONSaver
Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.LibSVMLoader
Returns a string describing this Loader.
globalInfo() - Method in class weka.core.converters.LibSVMSaver
Returns a string describing this Saver
globalInfo() - Method in class weka.core.converters.MatlabLoader
Returns a string describing this Loader.
globalInfo() - Method in class weka.core.converters.MatlabSaver
Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.SerializedInstancesLoader
Returns a string describing this object
globalInfo() - Method in class weka.core.converters.SerializedInstancesSaver
Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.SVMLightLoader
Returns a string describing this Loader.
globalInfo() - Method in class weka.core.converters.SVMLightSaver
Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.TextDirectoryLoader
Returns a string describing this loader
globalInfo() - Method in class weka.core.converters.XRFFLoader
Returns a string describing this Loader
globalInfo() - Method in class weka.core.converters.XRFFSaver
Returns a string describing this Saver
globalInfo() - Method in class weka.core.EuclideanDistance
Returns a string describing this object.
globalInfo() - Method in class weka.core.FilteredDistance
Returns a string describing this object.
globalInfo() - Method in class weka.core.ManhattanDistance
Returns a string describing this object.
globalInfo() - Method in class weka.core.MinkowskiDistance
Returns a string describing this object.
globalInfo() - Method in class weka.core.neighboursearch.BallTree
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
Returns a string describing this object.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.CoverTree
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns a string describing this object.
globalInfo() - Method in class weka.core.neighboursearch.KDTree
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.LinearNNSearch
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.NormalizableDistance
Returns a string describing this object.
globalInfo() - Method in class weka.core.stemmers.IteratedLovinsStemmer
Returns a string describing the stemmer
globalInfo() - Method in class weka.core.stemmers.LovinsStemmer
Returns a string describing the stemmer
globalInfo() - Method in class weka.core.stemmers.NullStemmer
Returns a string describing the stemmer
globalInfo() - Method in class weka.core.stemmers.SnowballStemmer
Returns a string describing the stemmer.
globalInfo() - Method in class weka.core.stopwords.AbstractStopwords
Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.stopwords.MultiStopwords
 
globalInfo() - Method in class weka.core.stopwords.Null
Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.stopwords.Rainbow
Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.stopwords.RegExpFromFile
Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.stopwords.WordsFromFile
Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.tokenizers.AlphabeticTokenizer
Returns a string describing the stemmer
globalInfo() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Returns a string describing the tokenizer
globalInfo() - Method in class weka.core.tokenizers.NGramTokenizer
Returns a string describing the stemmer
globalInfo() - Method in class weka.core.tokenizers.Tokenizer
Returns a string describing the stemmer
globalInfo() - Method in class weka.core.tokenizers.WordTokenizer
Returns a string describing the stemmer
globalInfo() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.classification.LED24
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.regression.Expression
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.ClusterDefinition
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns a string describing this data generator.
globalInfo() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Returns a string describing the estimator.
globalInfo() - Method in class weka.estimators.UnivariateKernelEstimator
Returns a string describing the estimator.
globalInfo() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns a string describing the estimator.
globalInfo() - Method in class weka.estimators.UnivariateNormalEstimator
Returns a string describing the estimator.
globalInfo() - Method in class weka.experiment.AveragingResultProducer
Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.ClassifierSplitEvaluator
Returns a string describing this split evaluator
globalInfo() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Returns a string describing this split evaluator
globalInfo() - Method in class weka.experiment.CrossValidationResultProducer
Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.CrossValidationSplitResultProducer
Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.CSVResultListener
Returns a string describing this result listener
globalInfo() - Method in class weka.experiment.DatabaseResultListener
Returns a string describing this result listener
globalInfo() - Method in class weka.experiment.DatabaseResultProducer
Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns a string describing this split evaluator
globalInfo() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns a string describing this result producer.
globalInfo() - Method in class weka.experiment.InstancesResultListener
Returns a string describing this result listener
globalInfo() - Method in class weka.experiment.LearningRateResultProducer
Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.RandomSplitResultProducer
Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.RegressionSplitEvaluator
Returns a string describing this split evaluator
globalInfo() - Method in class weka.experiment.ResultMatrix
Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixCSV
Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixGnuPlot
Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixHTML
Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixLatex
Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixPlainText
Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixSignificance
Returns a string describing the matrix.
globalInfo() - Method in class weka.filters.AllFilter
Returns a string describing this filter
globalInfo() - Method in class weka.filters.MultiFilter
Returns a string describing this filter
globalInfo() - Method in class weka.filters.RenameRelation
Returns a string describing this filter
globalInfo() - Method in class weka.filters.SimpleFilter
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.attribute.AddClassification
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.attribute.AttributeSelection
Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Global help info for this method
globalInfo() - Method in class weka.filters.supervised.attribute.ClassOrder
Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.attribute.Discretize
Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.attribute.NominalToBinary
Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.attribute.PartitionMembership
Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.instance.ClassBalancer
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.instance.Resample
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Add
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddCluster
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddExpression
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddID
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddNoise
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddUserFields
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddValues
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Center
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
Returns a string describing this classifier.
globalInfo() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Copy
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.FirstOrder
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
 
globalInfo() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
 
globalInfo() - Method in class weka.filters.unsupervised.attribute.MathExpression
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NominalToString
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Normalize
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Obfuscate
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.Remove
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveByName
Returns a string describing this classifier.
globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveType
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Global help info
globalInfo() - Method in class weka.filters.unsupervised.attribute.Reorder
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.SortLabels
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.Standardize
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.StringToNominal
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.SwapValues
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.attribute.Transpose
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.Randomize
Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveRange
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.instance.Resample
Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Returns a string describing this filter.
globalInfo() - Method in class weka.gui.beans.Associator
Global info (if it exists) for the wrapped classifier
globalInfo() - Method in class weka.gui.beans.AttributeSummarizer
Global info for this bean
globalInfo() - Method in class weka.gui.beans.ClassAssigner
Global info for this bean
globalInfo() - Method in class weka.gui.beans.Classifier
Global info (if it exists) for the wrapped classifier
globalInfo() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Global info for this bean
globalInfo() - Method in class weka.gui.beans.ClassValuePicker
Global info for this bean
globalInfo() - Method in class weka.gui.beans.Clusterer
Global info (if it exists) for the wrapped classifier
globalInfo() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Global info for this bean
globalInfo() - Method in class weka.gui.beans.CostBenefitAnalysis
Global info for this bean
globalInfo() - Method in class weka.gui.beans.CrossValidationFoldMaker
Global info for this bean
globalInfo() - Method in class weka.gui.beans.DataVisualizer
Global info for this bean
globalInfo() - Method in class weka.gui.beans.Filter
Global info (if it exists) for the wrapped filter
globalInfo() - Method in class weka.gui.beans.FlowByExpression
 
globalInfo() - Method in class weka.gui.beans.GraphViewer
Global info for this bean
globalInfo() - Method in class weka.gui.beans.ImageSaver
Global info for this bean
globalInfo() - Method in class weka.gui.beans.ImageViewer
Global info for this bean
globalInfo() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Global info for this bean
globalInfo() - Method in class weka.gui.beans.Join
Global info for the method
globalInfo() - Method in class weka.gui.beans.Loader
Global info (if it exists) for the wrapped loader
globalInfo() - Method in class weka.gui.beans.ModelPerformanceChart
Global info for this bean
globalInfo() - Method in class weka.gui.beans.PredictionAppender
Global description of this bean
globalInfo() - Method in class weka.gui.beans.Saver
Global info (if it exists) for the wrapped loader
globalInfo() - Method in class weka.gui.beans.ScatterPlotMatrix
Global info for this bean
globalInfo() - Method in class weka.gui.beans.SerializedModelSaver
Global info for this bean.
globalInfo() - Method in class weka.gui.beans.Sorter
Help information suitable for displaying in the GUI.
globalInfo() - Method in class weka.gui.beans.StripChart
Global info for this bean
globalInfo() - Method in class weka.gui.beans.SubstringLabeler
Help information suitable for displaying in the GUI.
globalInfo() - Method in class weka.gui.beans.SubstringReplacer
About information
globalInfo() - Method in class weka.gui.beans.TestSetMaker
Global info for this bean
globalInfo() - Method in class weka.gui.beans.TextSaver
Global info for this bean
globalInfo() - Method in class weka.gui.beans.TextViewer
Global info for this bean
globalInfo() - Method in class weka.gui.beans.TrainingSetMaker
Global info for this bean
globalInfo() - Method in class weka.gui.beans.TrainTestSplitMaker
Global info for this bean
globalInfo() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Returns a string describing this tool
globalInfo() - Method in class weka.knowledgeflow.steps.BaseStep
Attempt to get default "about" information for this step by grabbing the toolTip from the KFStep annotation.
globalInfo() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
Get global "help" info.
GLOBALINFO_ENDTAG - Static variable in class weka.core.GlobalInfoJavadoc
the end comment tag for inserting the generated Javadoc
GLOBALINFO_METHOD - Static variable in class weka.core.GlobalInfoJavadoc
the globalInfo method name
GLOBALINFO_STARTTAG - Static variable in class weka.core.GlobalInfoJavadoc
the start comment tag for inserting the generated Javadoc
GlobalInfoJavadoc - Class in weka.core
Generates Javadoc comments from the class's globalInfo method.
GlobalInfoJavadoc() - Constructor for class weka.core.GlobalInfoJavadoc
default constructor
GlobalScoreSearchAlgorithm - Class in weka.classifiers.bayes.net.search.global
This Bayes Network learning algorithm uses cross validation to estimate classification accuracy.
GlobalScoreSearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
 
goDown(String) - Method in class weka.gui.HierarchyPropertyParser
Go to a certain node of the tree down from the current node according to the specified relative path.
GOECustomizer - Interface in weka.gui.beans
Extends BeanCustomizer.
GOEPanel() - Constructor for class weka.gui.GenericObjectEditor.GOEPanel
Creates the GUI editor component.
GOEStepEditorDialog - Class in weka.gui.knowledgeflow
A step editor dialog that uses the GOE mechanism to provide property editors.
GOEStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.GOEStepEditorDialog
Constructor
GOETreeNode() - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
Creates a tree node that has no parent and no children, but which allows children.
GOETreeNode(Object) - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
Creates a tree node with no parent, no children, but which allows children, and initializes it with the specified user object.
GOETreeNode(Object, boolean) - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
Creates a tree node with no parent, no children, initialized with the specified user object, and that allows children only if specified.
goTo(String) - Method in class weka.gui.HierarchyPropertyParser
Go to a certain node of the tree according to the specified path Note that the path must be absolute path from the root.
goToChild(String) - Method in class weka.gui.HierarchyPropertyParser
Go to one child node from the current position in the tree according to the given value
If the child node with the given value cannot be found it returns false, true otherwise.
goToChild(int) - Method in class weka.gui.HierarchyPropertyParser
Go to one child node from the current position in the tree according to the given position
goToParent() - Method in class weka.gui.HierarchyPropertyParser
Go to the parent from the current position in the tree If the current position is the root, it stays there and does not move
goToRoot() - Method in class weka.gui.HierarchyPropertyParser
Go to the root of the tree
GPCIgnore - Annotation Type in weka.gui
Marker annotation.
gr(double, double) - Static method in class weka.core.Utils
Tests if a is greater than b.
gracePeriodTipText() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the tip text for this property
graph(FPGrowth.FPTreeRoot) - Method in class weka.associations.FPGrowth
Assemble a dot graph representation of the FP-tree.
graph() - Method in class weka.classifiers.bayes.BayesNet
Returns a BayesNet graph in XMLBIF ver 0.3 format.
graph() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.meta.CVParameterSelection
Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.meta.FilteredClassifier
Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.pmml.consumer.TreeModel
 
graph() - Method in class weka.classifiers.trees.HoeffdingTree
 
graph() - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.J48
Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.LMT
Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns graph describing the tree.
graph(StringBuffer) - Method in class weka.classifiers.trees.m5.RuleNode
Assign a unique identifier to each node in the tree and then calls graphTree
graph() - Method in class weka.classifiers.trees.M5P
Return a dot style String describing the tree.
graph() - Method in class weka.classifiers.trees.RandomTree
Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.REPTree
Outputs the decision tree as a graph
graph() - Method in class weka.clusterers.Cobweb
Generates the graph string of the Cobweb tree
graph() - Method in class weka.clusterers.FilteredClusterer
Returns graph describing the clusterer (if possible).
graph() - Method in class weka.clusterers.HierarchicalClusterer
 
graph() - Method in interface weka.core.Drawable
Returns a string that describes a graph representing the object.
GraphConstants - Interface in weka.gui.graphvisualizer
GraphConstants.java
GraphEdge - Class in weka.gui.graphvisualizer
This class represents an edge in the graph
GraphEdge(int, int, int) - Constructor for class weka.gui.graphvisualizer.GraphEdge
 
GraphEdge(int, int, int, String, String) - Constructor for class weka.gui.graphvisualizer.GraphEdge
 
GraphEvent - Class in weka.gui.beans
Event for graphs
GraphEvent(Object, String, String, int) - Constructor for class weka.gui.beans.GraphEvent
Creates a new GraphEvent instance.
GraphicalEnvironmentCommandHandler - Interface in weka.gui.knowledgeflow
Interface for graphical command handlers
GraphListener - Interface in weka.gui.beans
Describe interface TextListener here.
GraphNode - Class in weka.gui.graphvisualizer
This class represents a node in the Graph.
GraphNode(String, String) - Constructor for class weka.gui.graphvisualizer.GraphNode
Constructor
GraphNode(String, String, int) - Constructor for class weka.gui.graphvisualizer.GraphNode
Constructor
graphTree(StringBuffer) - Method in class weka.classifiers.trees.ht.HNode
 
graphTree(StringBuffer) - Method in class weka.classifiers.trees.ht.SplitNode
 
graphType() - Method in class weka.classifiers.bayes.BayesNet
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.meta.CVParameterSelection
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.meta.FilteredClassifier
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.pmml.consumer.TreeModel
 
graphType() - Method in class weka.classifiers.trees.HoeffdingTree
 
graphType() - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.J48
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.LMT
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.M5P
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.RandomTree
Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.REPTree
Returns the type of graph this classifier represents.
graphType() - Method in class weka.clusterers.Cobweb
Returns the type of graphs this class represents
graphType() - Method in class weka.clusterers.FilteredClusterer
Returns the type of graph this clusterer represents.
graphType() - Method in class weka.clusterers.HierarchicalClusterer
 
graphType() - Method in interface weka.core.Drawable
Returns the type of graph representing the object.
GraphViewer - Class in weka.gui.beans
A bean encapsulating weka.gui.treevisualize.TreeVisualizer
GraphViewer() - Constructor for class weka.gui.beans.GraphViewer
 
GraphViewer - Class in weka.knowledgeflow.steps
Step for collecting and visualizing graph output from Drawable schemes.
GraphViewer() - Constructor for class weka.knowledgeflow.steps.GraphViewer
 
GraphViewerBeanInfo - Class in weka.gui.beans
Bean info class for the graph viewer
GraphViewerBeanInfo() - Constructor for class weka.gui.beans.GraphViewerBeanInfo
 
GraphViewerInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive viewer for the GraphViewer step.
GraphViewerInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.GraphViewerInteractiveView
 
GraphVisualizePlugin - Interface in weka.gui.visualize.plugins
Interface implemented by classes loaded dynamically to visualize graphs in the explorer.
GraphVisualizer - Class in weka.gui.graphvisualizer
This class displays the graph we want to visualize.
GraphVisualizer() - Constructor for class weka.gui.graphvisualizer.GraphVisualizer
Constructor
Sets up the gui and initializes all the other previously uninitialized variables.
greaterEqual(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'>=' greater equal operator
greaterThan(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'>' greater than operator
GreedyStepwise - Class in weka.attributeSelection
GreedyStepwise :

Performs a greedy forward or backward search through the space of attribute subsets.
GreedyStepwise() - Constructor for class weka.attributeSelection.GreedyStepwise
Constructor
GRID - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
Constant set for choice of pattern.
GRID_COLOR - Static variable in class weka.knowledgeflow.KFDefaults
 
GRID_COLOR_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
GRID_SPACING - Static variable in class weka.knowledgeflow.KFDefaults
 
GRID_SPACING_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
Groovy - Class in weka.core.scripting
A helper class for Groovy.
Groovy() - Constructor for class weka.core.scripting.Groovy
default constructor, tries to instantiate a Groovy classloader.
GroovyPanel - Class in weka.gui.scripting
A scripting panel for Groovy.
GroovyPanel() - Constructor for class weka.gui.scripting.GroovyPanel
 
GroovyScript - Class in weka.gui.scripting
Represents a Groovy script.
GroovyScript() - Constructor for class weka.gui.scripting.GroovyScript
Initializes the script.
GroovyScript(Document) - Constructor for class weka.gui.scripting.GroovyScript
Initializes the script.
GroovyScript(Document, File) - Constructor for class weka.gui.scripting.GroovyScript
Initializes the script.
GroovyScript.GroovyThread - Class in weka.gui.scripting
Executes a Groovy script in a thread.
GroovyThread(Script, String[]) - Constructor for class weka.gui.scripting.GroovyScript.GroovyThread
Initializes the thread.
grOrEq(double, double) - Static method in class weka.core.Utils
Tests if a is greater or equal to b.
grouping(boolean) - Method in class weka.core.matrix.FlexibleDecimalFormat
 
grow(Instances) - Method in class weka.classifiers.rules.JRip.RipperRule
Build one rule using the growing data
grow(Instances) - Method in class weka.classifiers.rules.Rule
Build this rule
GT - Static variable in interface weka.core.expressionlanguage.parser.sym
 
GUI - Class in weka.classifiers.bayes.net
GUI interface to Bayesian Networks.
GUI() - Constructor for class weka.classifiers.bayes.net.GUI
Constructor
Sets up the gui and initializes all the other previously uninitialized variables.
GUI_MDI - Static variable in class weka.gui.Main
displays the GUI as MDI.
GUI_SDI - Static variable in class weka.gui.Main
displays the GUI as SDI.
GUIApplication - Interface in weka.gui
Interface to a GUIApplication that can have multiple "perspectives" and provide application-level and perspective-level settings.
GUIChooser - Class in weka.gui
Launcher class for the Weka GUIChooser.
GUIChooser() - Constructor for class weka.gui.GUIChooser
 
GUIChooser.GUIChooserMenuPlugin - Interface in weka.gui
Interface for plugin components that can be accessed from either the Visualization or Tools menu.
GUIChooser.GUIChooserMenuPlugin.Menu - Enum in weka.gui
Enum listing possible menus that plugins can appear in
GUIChooserApp - Class in weka.gui
The main class for the Weka GUIChooser.
GUIChooserApp() - Constructor for class weka.gui.GUIChooserApp
Creates the experiment environment gui with no initial experiment
GUIChooserApp.ChildFrameSDI - Class in weka.gui
Specialized JFrame class.
GUIChooserApp.GUIChooserDefaults - Class in weka.gui
Inner class for defaults
GUIChooserDefaults() - Constructor for class weka.gui.GUIChooserApp.GUIChooserDefaults
Constructor
GUIEDITORS_PROPERTY_FILE - Static variable in class weka.gui.GenericObjectEditor
the properties files containing the class/editor mappings.
GUITipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 

H

handles(Capabilities.Capability) - Method in class weka.core.Capabilities
returns true if the classifier handler has the specified capability
handles(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
returns true if the given capability can be handled.
hasAdditional() - Method in class weka.core.TechnicalInformation
returns true if there are further technical informations stored in this
hasAdditional() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
Returns whether additional information is available.
hasAntds() - Method in class weka.classifiers.rules.JRip.RipperRule
Whether this rule has antecedents, i.e.
hasAntds() - Method in class weka.classifiers.rules.Rule
Whether this rule has antecedents, i.e.
hasBeenLoaded(Package) - Static method in class weka.core.WekaPackageManager
Check to see if the named package has been loaded successfully
hasChild(String) - Method in class weka.core.json.JSONNode
Checks whether the node has a child with the given name.
hasClasspathProblems() - Method in class weka.core.CheckScheme
returns TRUE if the classifier returned a "not in classpath" Exception
hasClasspathProblems() - Method in class weka.estimators.CheckEstimator
returns TRUE if the estimator returned a "not in classpath" Exception
hasCustomizer() - Method in class weka.gui.PropertySheetPanel
Returns true if the object being edited has a customizer
hasDependencies() - Method in class weka.core.Capabilities
Checks whether there are any dependencies at all
hasDependency(Capabilities.Capability) - Method in class weka.core.Capabilities
returns true if the classifier handler has a dependency for the specified capability
hasEmptyRow() - Method in class weka.gui.InteractiveTableModel
Returns true if the model has an empty row
hash - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
attribute value hash code
hashCode() - Method in class weka.associations.BinaryItem
 
hashCode() - Method in class weka.associations.Item
 
hashCode() - Method in class weka.associations.ItemSet
Produces a hash code for a item set.
hashCode() - Method in class weka.classifiers.rules.DecisionTableHashKey
Calculates a hash code
hashCode() - Method in class weka.core.Attribute
Returns a hash code for this attribute based on its name.
hashCode() - Method in class weka.core.SerializedObject
Returns a hashcode for this object.
hashCode() - Method in class weka.core.Settings.SettingKey
Hashcode based on the key
hashCode() - Method in class weka.core.Trie
Returns the hash code value for this collection.
hasIncomingBatchInstances() - Method in class weka.gui.beans.Classifier
Returns true if this classifier has an incoming connection that is a batch set of instances
hasIncomingBatchInstances() - Method in class weka.gui.beans.Clusterer
Returns true if this clusterer has an incoming connection that is a batch set of instances
hasIncomingStreamInstances() - Method in class weka.gui.beans.Classifier
Returns true if this classifier has an incoming connection that is an instance stream
hasIndex() - Method in class weka.core.PropertyPath.PathElement
returns whether the property is an index-based one
hasInstanceWeights(Instances) - Static method in class weka.core.ResampleUtils
Checks whether there are any instance weights other than 1.0 set.
hasInterface(String, String) - Static method in class weka.core.InheritanceUtils
Checks whether the given class implements the given interface.
hasInterface(Class<?>, Class<?>) - Static method in class weka.core.InheritanceUtils
Checks whether the given class implements the given interface.
hasMacro(String) - Method in class weka.core.expressionlanguage.common.IfElseMacro
Whether the macro is declared
hasMacro(String) - Method in class weka.core.expressionlanguage.common.JavaMacro
Whether the macro declarations contains the macro
hasMacro(String) - Method in class weka.core.expressionlanguage.common.MacroDeclarationsCompositor
Whether the macro is contained in one of the combined declarations.
hasMacro(String) - Method in class weka.core.expressionlanguage.common.MathFunctions
Whether the macro is declared
hasMacro(String) - Method in class weka.core.expressionlanguage.common.NoMacros
Whether the macro is declared.
hasMacro(String) - Method in interface weka.core.expressionlanguage.core.MacroDeclarations
Whether the macro is declared
hasMacro(String) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
Whether the given macro is declared
hasMaxRows() - Method in class weka.gui.sql.ResultSetHelper
whether a limit on the rows to retrieve was set.
hasMissingValue() - Method in class weka.core.AbstractInstance
Tests whether an instance has a missing value.
hasMissingValue() - Method in interface weka.core.Instance
Tests whether an instance has a missing value.
hasModels() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns true if the logistic regression model at this node has changed compared to the one at the parent node.
hasMoreElements(Instances) - Method in class weka.core.converters.ConverterUtils.DataSource
returns whether there are more Instance objects in the data.
hasMoreElements() - Method in class weka.core.tokenizers.AlphabeticTokenizer
returns whether there are more elements still
hasMoreElements() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
returns true if there's more elements available
hasMoreElements() - Method in class weka.core.tokenizers.NGramTokenizer
returns true if there's more elements available
hasMoreElements() - Method in class weka.core.tokenizers.Tokenizer
Tests if this enumeration contains more elements.
hasMoreElements() - Method in class weka.core.tokenizers.WordTokenizer
Tests if this enumeration contains more elements.
hasMoreElements() - Method in class weka.core.WekaEnumeration
Tests if there are any more elements to enumerate.
hasMoreIterations() - Method in class weka.experiment.Experiment
Returns true if there are more iterations to carry out in the experiment.
hasNext() - Method in class weka.core.Trie.TrieIterator
Returns true if the iteration has more elements.
hasResult() - Method in class weka.gui.sql.event.QueryExecuteEvent
whether a ResultSet was produced, e.g.
hasResultDataOfType(String) - Method in class weka.knowledgeflow.JobEnvironment
Returns true if the results contain data of a particular connection type
hasSetting(String, String) - Method in class weka.core.Settings
Returns true if a given setting has a value
hasSettings(String) - Method in class weka.core.Settings
Returns true if there are settings available for a given ID
hasTargetMetaData() - Method in class weka.core.pmml.MiningSchema
Returns true if there is Target meta data.
hasThirdPartyClass(String) - Method in class weka.core.WekaPackageLibIsolatingClassLoader
Returns true if this classloader is covering the named third-party class
hasUID(String) - Static method in class weka.core.SerializationHelper
checks whether the given class contains a serialVersionUID.
hasUID(Class<?>) - Static method in class weka.core.SerializationHelper
checks whether the given class contains a serialVersionUID.
hasVariable(String) - Method in class weka.core.expressionlanguage.common.NoVariables
Whether the variable is declared.
hasVariable(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
Whether the variable is declared
hasVariable(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
Returns whether the SimpleVariableDeclarations.VariableInitializer contains the variable
hasVariable(String) - Method in class weka.core.expressionlanguage.common.VariableDeclarationsCompositor
Whether the variable is contained in one of the combined declarations.
hasVariable(String) - Method in interface weka.core.expressionlanguage.core.VariableDeclarations
Whether the variable is declared
hasVariable(String) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
Returns whether the variable is declared
hasVariable(String) - Method in class weka.core.expressionlanguage.weka.StatsHelper
Returns whether the variable is declared
hasZeropoint() - Method in class weka.core.Attribute
Returns whether the attribute has a zeropoint and may be added meaningfully.
HEADER - Static variable in class weka.core.json.JSONInstances
the header section.
Header - Class in weka.core.pmml.jaxbbindings
Java class for Header element declaration.
Header() - Constructor for class weka.core.pmml.jaxbbindings.Header
 
HEADER - Static variable in class weka.core.RepositoryIndexGenerator
 
header(int) - Method in class weka.experiment.PairedTTester
Creates a "header" string describing the current resultsets.
header(int) - Method in interface weka.experiment.Tester
Creates a "header" string describing the current resultsets.
headerKeys() - Method in class weka.experiment.ResultMatrix
returns an enumeration of the header keys.
HeadlessEventCollector - Interface in weka.gui.beans
Interface for Knowledge Flow components that (typically) provide an interactive graphical visualization to implement.
HEIGHT - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
default height
HEIGHT - Static variable in class weka.gui.sql.SqlViewer
the height property in the history file.
Help - Class in weka.gui.simplecli
Outputs help for a command or for all.
Help() - Constructor for class weka.gui.simplecli.Help
 
heuristicStopTipText() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the tip text for this property
hiddenLayersTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
hidePerspectivesToolBar() - Method in class weka.gui.AbstractGUIApplication
Hide the perspectives toolbar
hidePerspectivesToolBar() - Method in interface weka.gui.GUIApplication
Hide the perspectives toolbar
HierarchicalBCEngine - Class in weka.gui.graphvisualizer
This class lays out the vertices of a graph in a hierarchy of vertical levels, with a number of nodes in each level.
HierarchicalBCEngine(ArrayList<GraphNode>, ArrayList<GraphEdge>, int, int) - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine
Constructor - takes in FastVectors of nodes and edges, and the initial width and height of a node
HierarchicalBCEngine(ArrayList<GraphNode>, ArrayList<GraphEdge>, int, int, boolean) - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine
Constructor - takes in FastVectors of nodes and edges, the initial width and height of a node, and a boolean value to indicate if the edges should be concentrated.
HierarchicalBCEngine() - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine
SimpleConstructor If we want to instantiate the class first, and if information for nodes and edges is not available.
HierarchicalClusterer - Class in weka.clusterers
Hierarchical clustering class.
HierarchicalClusterer() - Constructor for class weka.clusterers.HierarchicalClusterer
 
HierarchyPropertyParser - Class in weka.gui
This class implements a parser to read properties that have a hierarchy(i.e.
HierarchyPropertyParser() - Constructor for class weka.gui.HierarchyPropertyParser
Default constructor
HierarchyPropertyParser(String, String) - Constructor for class weka.gui.HierarchyPropertyParser
Constructor that builds a tree from the given property with the given delimitor
HierarchyVisualizer - Class in weka.gui.hierarchyvisualizer
 
HierarchyVisualizer(String) - Constructor for class weka.gui.hierarchyvisualizer.HierarchyVisualizer
 
highlightLastRow(int) - Method in class weka.gui.InteractiveTablePanel
Highlight the last row in the table
HillClimber - Class in weka.classifiers.bayes.net.search.global
This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
HillClimber() - Constructor for class weka.classifiers.bayes.net.search.global.HillClimber
 
HillClimber - Class in weka.classifiers.bayes.net.search.local
This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
HillClimber() - Constructor for class weka.classifiers.bayes.net.search.local.HillClimber
 
HINGE - Static variable in class weka.classifiers.functions.SGD
the hinge loss function.
HINGE - Static variable in class weka.classifiers.functions.SGDText
the hinge loss function.
History - Class in weka.gui.simplecli
Prints all issued commands.
History() - Constructor for class weka.gui.simplecli.History
 
HISTORY_NAME - Static variable in class weka.gui.sql.ConnectionPanel
the name of the history.
HISTORY_NAME - Static variable in class weka.gui.sql.QueryPanel
the name of the history.
historyChanged(HistoryChangedEvent) - Method in interface weka.gui.sql.event.HistoryChangedListener
This method gets called when a history is modified.
historyChanged(HistoryChangedEvent) - Method in class weka.gui.sql.SqlViewer
This method gets called when a history is modified.
HistoryChangedEvent - Class in weka.gui.sql.event
An event that is generated when a history is modified.
HistoryChangedEvent(Object, String, DefaultListModel) - Constructor for class weka.gui.sql.event.HistoryChangedEvent
constructs the event
HistoryChangedListener - Interface in weka.gui.sql.event
A listener for changes in a history.
historySelected(GenericObjectEditorHistory.HistorySelectionEvent) - Method in interface weka.gui.GenericObjectEditorHistory.HistorySelectionListener
Gets called when a history item gets selected.
HistorySelectionEvent(Object, Object) - Constructor for class weka.gui.GenericObjectEditorHistory.HistorySelectionEvent
Initializes the event.
hit(Rectangle, Shape, boolean) - Method in class weka.gui.visualize.PostscriptGraphics
 
HLINE - Static variable in class weka.gui.visualize.VisualizePanelEvent
 
HNode - Class in weka.classifiers.trees.ht
Abstract base class for nodes in a Hoeffding tree
HNode() - Constructor for class weka.classifiers.trees.ht.HNode
Construct a new HNode
HNode(Map<String, WeightMass>) - Constructor for class weka.classifiers.trees.ht.HNode
Construct a new HNode with the supplied class distribution
hoeffdingTieThresholdTipText() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the tip text for this property
HoeffdingTree - Class in weka.classifiers.trees
A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not change over time.
HoeffdingTree() - Constructor for class weka.classifiers.trees.HoeffdingTree
 
holdOutFileTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
HoldOutSubsetEvaluator - Class in weka.attributeSelection
Abstract attribute subset evaluator capable of evaluating subsets with respect to a data set that is distinct from that used to initialize/ train the subset evaluator.
HoldOutSubsetEvaluator() - Constructor for class weka.attributeSelection.HoldOutSubsetEvaluator
 
HostListPanel - Class in weka.gui.experiment
This panel controls setting a list of hosts for a RemoteExperiment to use.
HostListPanel(RemoteExperiment) - Constructor for class weka.gui.experiment.HostListPanel
Creates the host list panel with the given experiment.
HostListPanel() - Constructor for class weka.gui.experiment.HostListPanel
Create the host list panel initially disabled.
HTML - Class in weka.classifiers.evaluation.output.prediction
Outputs the predictions in HTML.
HTML() - Constructor for class weka.classifiers.evaluation.output.prediction.HTML
 
HUBER - Static variable in class weka.classifiers.functions.SGD
The Huber loss function
hypot(double, double) - Static method in class weka.core.matrix.Maths
sqrt(a^2 + b^2) without under/overflow.

I

I0 - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
 
I0a - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
 
I0b - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
 
I1 - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
 
I2 - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
 
I3 - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
 
IBk - Class in weka.classifiers.lazy
K-nearest neighbours classifier.
IBk(int) - Constructor for class weka.classifiers.lazy.IBk
IBk classifier.
IBk() - Constructor for class weka.classifiers.lazy.IBk
IB1 classifer.
ICON_PATH - Static variable in class weka.gui.beans.BeanVisual
 
ICON_PATH - Static variable in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
Path to the icons for the toolbar
iconForStep(Step) - Static method in class weka.gui.knowledgeflow.StepVisual
Gets the icon for the supplied Step.
ICSSearchAlgorithm - Class in weka.classifiers.bayes.net.search.ci
This Bayes Network learning algorithm uses conditional independence tests to find a skeleton, finds V-nodes and applies a set of rules to find the directions of the remaining arrows.
ICSSearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
 
ID - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
ID - Static variable in class weka.gui.explorer.VisualizePanel.ScatterDefaults
 
ID - Variable in class weka.gui.graphvisualizer.GraphNode
ID and label for the node
ID - Static variable in class weka.gui.knowledgeflow.AttributeSummaryPerspective.AttDefaults
 
ID - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
ID for the metastore
ID - Static variable in class weka.knowledgeflow.steps.ImageSaver.ImageSaverDefaults
 
ID - Static variable in class weka.knowledgeflow.steps.TextSaver.TextSaverDefaults
 
IDENTIFIER - Static variable in interface weka.core.expressionlanguage.parser.sym
 
identity(int, int) - Static method in class weka.core.matrix.Matrix
Generate identity matrix
IDFTransformTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
IDFTransformTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
IDIndexTipText() - Method in class weka.filters.unsupervised.attribute.AddID
Returns the tip text for this property
IDLE - Static variable in class weka.gui.beans.BeanInstance
class variable holding all the beans
IfElseMacro - Class in weka.core.expressionlanguage.common
A macro declaration exposing the ifelse function.
IfElseMacro() - Constructor for class weka.core.expressionlanguage.common.IfElseMacro
 
ignoreCaseForNamesTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns the tip text for this property
ignoreCaseTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Returns the tip text for this property
ignoreClassTipText() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
Returns the tip text for this property
ignoreClassTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Returns the tip text for this property
ignored() - Method in class weka.core.xml.PropertyHandler
returns an enumeration of the stored display names and classes of properties to ignore.
NOTE: String and Class Objects are mixed in this enumeration, depending whether it is a global property to ignore or just one for a certain class!
ignoredAttributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster
Returns the tip text for this property.
ignoredAttributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Returns the tip text for this property
ignoreRangeTipText() - Method in class weka.filters.unsupervised.attribute.MathExpression
Returns the tip text for this property
ImageEvent - Class in weka.gui.beans
Event that encapsulates an Image
ImageEvent(Object, BufferedImage) - Constructor for class weka.gui.beans.ImageEvent
Construct a new ImageEvent
ImageEvent(Object, BufferedImage, String) - Constructor for class weka.gui.beans.ImageEvent
Construct an ImageEvent
ImageListener - Interface in weka.gui.beans
Interface to something that can process an ImageEvent
IMAGES - Static variable in class weka.gui.ComponentHelper
the default directories for images
IMAGES_DIR - Static variable in class weka.gui.scripting.FileScriptingPanel
the directory with the scripting-specific images.
ImageSaver - Class in weka.gui.beans
Component that can accept ImageEvents and save their encapsulated images to a file.
ImageSaver() - Constructor for class weka.gui.beans.ImageSaver
Constructs a new ImageSaver
ImageSaver - Class in weka.knowledgeflow.steps
Step for saving static images as either png or gif.
ImageSaver() - Constructor for class weka.knowledgeflow.steps.ImageSaver
 
ImageSaver.ImageSaverDefaults - Class in weka.knowledgeflow.steps
 
ImageSaverBeanInfo - Class in weka.gui.beans
BeanInfo class for the ImageSaver component.
ImageSaverBeanInfo() - Constructor for class weka.gui.beans.ImageSaverBeanInfo
 
ImageSaverCustomizer - Class in weka.gui.beans
Customizer for the ImageSaver component.
ImageSaverCustomizer() - Constructor for class weka.gui.beans.ImageSaverCustomizer
Constructor
ImageSaverDefaults() - Constructor for class weka.knowledgeflow.steps.ImageSaver.ImageSaverDefaults
 
ImageViewer - Class in weka.gui.beans
A KF component that can accept imageEvent connections in order to display static images in a popup window
ImageViewer() - Constructor for class weka.gui.beans.ImageViewer
Constructs a new ImageViewer
ImageViewer - Class in weka.knowledgeflow.steps
A step for collecting and viewing image data
ImageViewer() - Constructor for class weka.knowledgeflow.steps.ImageViewer
 
ImageViewerBeanInfo - Class in weka.gui.beans
BeanInfo class for the ImageViewer component
ImageViewerBeanInfo() - Constructor for class weka.gui.beans.ImageViewerBeanInfo
 
ImageViewerInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive viewer for the ImageViewer step
ImageViewerInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.ImageViewerInteractiveView
 
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.AbstractClassifier
Return true if this classifier can generate batch predictions in an efficient manner.
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns true if the base classifier implements BatchPredictor and is able to generate batch predictions efficiently
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.Bagging
Returns true if the base classifier implements BatchPredictor and is able to generate batch predictions efficiently
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.ClassificationViaRegression
Return whether this classifier configuration yields more efficient batch prediction
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Returns true if the base classifier implements BatchPredictor and is able to generate batch predictions efficiently
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.FilteredClassifier
Returns true if the base classifier implements BatchPredictor and is able to generate batch predictions efficiently
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.LogitBoost
Performs efficient batch prediction
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.RandomCommittee
Returns true if the base classifier implements BatchPredictor and is able to generate batch predictions efficiently
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.RandomSubSpace
Returns true if the base classifier implements BatchPredictor and is able to generate batch predictions efficiently
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.Stacking
Returns true if the meta classifier or any of the base classifiers are able to generate batch predictions efficiently and all of them implement BatchPredictor.
implementsMoreEfficientBatchPrediction() - Method in interface weka.core.BatchPredictor
Returns true if this BatchPredictor can generate batch predictions in an efficient manner.
Impurity - Class in weka.classifiers.trees.m5
Class for handling the impurity values when spliting the instances
Impurity(int, int, Instances, int) - Constructor for class weka.classifiers.trees.m5.Impurity
Constructs an Impurity object containing the impurity values of partitioning the instances using an attribute
InactiveHNode - Class in weka.classifiers.trees.ht
Class implementing an inactive node (i.e.
InactiveHNode(Map<String, WeightMass>) - Constructor for class weka.classifiers.trees.ht.InactiveHNode
Constructor
includeClassTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
incomingInstanceToVectorFieldVals(double[]) - Method in class weka.core.pmml.VectorDictionary
Convert an incoming instance to an array of values that corresponds to the fields referenced by the support vectors in the vector dictionary
incompleteBeta(double, double, double) - Static method in class weka.core.Statistics
Returns the Incomplete Beta Function evaluated from zero to xx.
incompleteBetaFraction1(double, double, double) - Static method in class weka.core.Statistics
Continued fraction expansion #1 for incomplete beta integral.
incompleteBetaFraction2(double, double, double) - Static method in class weka.core.Statistics
Continued fraction expansion #2 for incomplete beta integral.
incompleteGamma(double, double) - Static method in class weka.core.Statistics
Returns the Incomplete Gamma function.
incompleteGammaComplement(double, double) - Static method in class weka.core.Statistics
Returns the Complemented Incomplete Gamma function.
incorrect() - Method in class weka.classifiers.evaluation.ConfusionMatrix
Gets the number of incorrect classifications (that is, for which an incorrect prediction was made).
incorrect() - Method in class weka.classifiers.evaluation.Evaluation
Gets the number of instances incorrectly classified (that is, for which an incorrect prediction was made).
incorrect() - Method in class weka.classifiers.Evaluation
Gets the number of instances incorrectly classified (that is, for which an incorrect prediction was made).
incrCoordCount() - Method in class weka.core.neighboursearch.PerformanceStats
Increments the coordinate count (number of coordinates/attributes looked at).
increaseFontSize() - Method in class weka.gui.beans.Note
Increase the font size by one
increaseFontSize() - Method in class weka.gui.knowledgeflow.NoteVisual
Increase the font size by one
increaseFrequency(int) - Method in class weka.associations.Item
Increase the frequency of this item.
increaseFrequency() - Method in class weka.associations.Item
Increment the frequency of this item.
incremental(double, int) - Method in class weka.classifiers.trees.m5.Impurity
Incrementally computes the impurirty values
INCREMENTAL - Static variable in interface weka.core.converters.Loader
 
INCREMENTAL - Static variable in interface weka.core.converters.Saver
 
IncrementalClassifierEvaluator - Class in weka.gui.beans
Bean that evaluates incremental classifiers
IncrementalClassifierEvaluator() - Constructor for class weka.gui.beans.IncrementalClassifierEvaluator
 
IncrementalClassifierEvaluator - Class in weka.knowledgeflow.steps
Step that evaluates incremental classifiers and produces strip chart data
IncrementalClassifierEvaluator() - Constructor for class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
 
IncrementalClassifierEvaluatorBeanInfo - Class in weka.gui.beans
Bean info class for the incremental classifier evaluator bean
IncrementalClassifierEvaluatorBeanInfo() - Constructor for class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
 
IncrementalClassifierEvaluatorCustomizer - Class in weka.gui.beans
GUI Customizer for the incremental classifier evaluator bean
IncrementalClassifierEvaluatorCustomizer() - Constructor for class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
 
IncrementalClassifierEvent - Class in weka.gui.beans
Class encapsulating an incrementally built classifier and current instance
IncrementalClassifierEvent(Object, Classifier, Instance, int) - Constructor for class weka.gui.beans.IncrementalClassifierEvent
Creates a new IncrementalClassifierEvent instance.
IncrementalClassifierEvent(Object, Classifier, Instances) - Constructor for class weka.gui.beans.IncrementalClassifierEvent
Creates a new incremental classifier event that encapsulates header information and classifier.
IncrementalClassifierEvent(Object) - Constructor for class weka.gui.beans.IncrementalClassifierEvent
 
IncrementalClassifierListener - Interface in weka.gui.beans
Interface to something that can process a IncrementalClassifierEvent
IncrementalConverter - Interface in weka.core.converters
Marker interface for a loader/saver that can retrieve instances incrementally
IncrementalEstimator - Interface in weka.estimators
Interface for an incremental probability estimators.
incrIntNodeCount() - Method in class weka.core.neighboursearch.TreePerformanceStats
Increments the internal node count.
incrLeafCount() - Method in class weka.core.neighboursearch.TreePerformanceStats
Increments the leaf count.
incrPointCount() - Method in class weka.core.neighboursearch.PerformanceStats
Increments the point count (number of datapoints looked at).
index() - Method in class weka.core.Attribute
Returns the index of this attribute.
index(int) - Method in class weka.core.DenseInstance
Returns the index of the attribute stored at the given position.
index(int) - Method in interface weka.core.Instance
Returns the index of the attribute stored at the given position in the sparse representation.
index(int) - Method in class weka.core.pmml.Array
Returns the index of the value stored at the given position
index(int) - Method in class weka.core.pmml.SparseArray
Returns the index of the value stored at the given position
index(int) - Method in class weka.core.SparseInstance
Returns the index of the attribute stored at the given position.
INDEX_BEANCONNECTIONS - Static variable in class weka.gui.beans.xml.XMLBeans
the index in the Vector, where the BeanConnections are stored (Instances and Connections are stored in a Vector and then serialized)
INDEX_BEANINSTANCES - Static variable in class weka.gui.beans.xml.XMLBeans
the index in the Vector, where the BeanInstances are stored (Instances and Connections are stored in a Vector and then serialized)
indexOf(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Searches for the first occurrence of elem.
indexOf(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Searches for the first occurrence of elem, beginning the search at index.
indexOfMax() - Method in class weka.core.matrix.DoubleVector
Returns the index of the maximum.
indexOfValue(String) - Method in class weka.core.Attribute
Returns the index of a given attribute value.
indexToOrdinal(int) - Static method in class weka.core.Utils
Turns a zero-based index into its ordinal representation, e.g., the integer 0 will be turned into the string "1st", 1 will be turned into the string "2nd", etc.
indexToString(int) - Static method in class weka.core.SingleIndex
Creates a string representation of the given index.
indicesToRangeList(int[]) - Static method in class weka.core.Range
Creates a string representation of the indices in the supplied array.
individualPredictions(Instance) - Method in class weka.classifiers.meta.MultiClassClassifier
Returns the individual predictions of the base classifiers for an instance.
INFO - Static variable in class weka.core.Debug
the log level Info
info(int[]) - Static method in class weka.core.Utils
Computes entropy for an array of integers.
INFO_GAIN_SPLIT - Static variable in class weka.classifiers.trees.HoeffdingTree
 
infoGain() - Method in class weka.classifiers.trees.j48.BinC45Split
Returns (C4.5-type) information gain for the generated split.
infoGain() - Method in class weka.classifiers.trees.j48.C45Split
Returns (C4.5-type) information gain for the generated split.
InfoGainAttributeEval - Class in weka.attributeSelection
InfoGainAttributeEval :

Evaluates the worth of an attribute by measuring the information gain with respect to the class.

InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute).

Valid options are:

InfoGainAttributeEval() - Constructor for class weka.attributeSelection.InfoGainAttributeEval
Constructor
InfoGainSplitCrit - Class in weka.classifiers.trees.j48
Class for computing the information gain for a given distribution.
InfoGainSplitCrit() - Constructor for class weka.classifiers.trees.j48.InfoGainSplitCrit
 
InfoGainSplitMetric - Class in weka.classifiers.trees.ht
Implements the info gain splitting criterion
InfoGainSplitMetric(double) - Constructor for class weka.classifiers.trees.ht.InfoGainSplitMetric
 
InfoPanel - Class in weka.gui.sql
A simple panel for displaying information, e.g.
InfoPanel(JFrame) - Constructor for class weka.gui.sql.InfoPanel
creates the panel
InfoPanelCellRenderer - Class in weka.gui.sql
A specialized renderer that takes care of JLabels in a JList.
InfoPanelCellRenderer() - Constructor for class weka.gui.sql.InfoPanelCellRenderer
the constructor
InformationRetrievalEvaluationMetric - Interface in weka.classifiers.evaluation
An interface for information retrieval evaluation metrics to implement.
InformationTheoreticEvaluationMetric - Interface in weka.classifiers.evaluation
Primarily a marker interface for information theoretic evaluation metrics to implement.
InfoToWiki - Class in weka.gui
 
InfoToWiki() - Constructor for class weka.gui.InfoToWiki
 
InheritanceUtils - Class in weka.core
Helper class for inheritance related operations.
InheritanceUtils() - Constructor for class weka.core.InheritanceUtils
 
Init(int, int) - Method in class weka.classifiers.bayes.net.BayesNetGenerator
Init defines a minimal Bayes net with no arcs
init(Environment) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Initialize this attribute spec by resolving any environment variables and setting up the date format (if necessary)
init() - Static method in class weka.gui.beans.BeanConnection
Sets up just a single collection of bean connections in the first element of the list.
init() - Static method in class weka.gui.beans.BeanInstance
Sets up just a single collection of bean instances in the first element of the list.
init(Environment, Instances) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Initialize this match rule by substituting any environment variables in the attributes, match and label strings.
init(Environment, Instances) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Initialize this match replace rule by substituting any environment variables in the attributes, match and replace strings.
init() - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
Initialize this viewer.
init() - Method in class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
Initialize the viewer - layout widgets etc.
init() - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
Initialize/layout the viewer
init() - Method in class weka.gui.knowledgeflow.steps.CostBenefitAnalysisInteractiveView
Initialize and layout the viewer
init() - Method in class weka.gui.knowledgeflow.steps.DataVisualizerInteractiveView
Initialize and layout the viewer
init() - Method in class weka.gui.knowledgeflow.steps.GraphViewerInteractiveView
Initializes the viewer
init() - Method in class weka.gui.knowledgeflow.steps.ImageViewerInteractiveView
Initialize the viewer and the layout
init() - Method in class weka.gui.knowledgeflow.steps.ModelPerformanceChartInteractiveView
Initialize and layout the viewer
init() - Method in class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
Initialize the viewer
init() - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
Initialize the viewer
init() - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
Initialize the viewer
init(Instances, Environment) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
 
init(Instances, Environment) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
 
init(Instances, Environment) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Initialize the node
init(Environment, Instances) - Method in class weka.knowledgeflow.steps.Sorter.SortRule
Initialize the rule
initAsNaiveBayesTipText() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
 
initComponent() - Method in class weka.gui.InteractiveTablePanel
Initializes the component
initCPTs() - Method in class weka.classifiers.bayes.BayesNet
initializes the conditional probabilities
initCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
initCPTs reserves space for CPTs and set all counts to zero
initCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
initCPTs reserves space for CPTs and set all counts to zero
initCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
initCPTs reserves space for CPTs and set all counts to zero
initCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
initCPTs reserves space for CPTs and set all counts to zero
initDefaultFilters() - Static method in class weka.gui.ConverterFileChooser
Initialize the default set of filters for loaders and savers
initFileClassIndexTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns the tip text for this property
initFileTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns the tip text for this property
initFilter(Instances) - Method in class weka.filters.unsupervised.attribute.KernelFilter
initializes the filter with the given dataset, i.e., the kernel gets built.
initFlow(FlowExecutor) - Method in class weka.knowledgeflow.Flow
Initialize the flow by setting the execution environment and calling the init() method of each step
INITIAL_DIR - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
INITIAL_DIR_KEY - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
INITIAL_STEP - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
initialAnchorRandomTipText() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Returns the tip text for this property.
initialCountTipText() - Method in class weka.classifiers.trees.REPTree
Returns the tip text for this property
initializationMethodTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
initialize() - Method in class weka.classifiers.CostMatrix
Initializes the matrix
initialize() - Method in class weka.classifiers.trees.j48.Distribution
Sets all counts to zero.
initialize(int, int, int) - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
Resets the object of split information
initialize(int, int, int) - Method in class weka.classifiers.trees.m5.YongSplitInfo
Resets the object of split information
initialize() - Static method in class weka.core.converters.ConverterResources
 
initialize() - Static method in class weka.core.converters.ConverterUtils
 
initialize(File) - Method in class weka.experiment.DatabaseUtils
Initializes the database connection.
initialize(Properties) - Method in class weka.experiment.DatabaseUtils
Initializes the database connection.
initialize() - Method in class weka.experiment.Experiment
Prepares an experiment for running, initializing current iterator settings.
initialize() - Method in class weka.experiment.RemoteExperiment
Prepares a remote experiment for running, creates sub experiments
initialize() - Method in class weka.gui.visualize.BMPWriter
further initialization.
initialize() - Method in class weka.gui.visualize.JPEGWriter
further initialization.
initialize() - Method in class weka.gui.visualize.PNGWriter
further initialization.
initializeAndComputeMatrix(Instances) - Method in class weka.attributeSelection.PrincipalComponents
Intializes the evaluator, filters the input data and computes the correlation/covariance matrix.
initializeClassifier(Instances) - Method in class weka.classifiers.functions.MultilayerPerceptron
Initializes an iterative classifier.
initializeClassifier(Instances) - Method in interface weka.classifiers.IterativeClassifier
Initializes an iterative classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.meta.AdaBoostM1
Initialize the classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.meta.AdditiveRegression
Initialize classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
Initializes an iterative classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.meta.LogitBoost
Builds the boosted classifier
initializeClassifier(Instances) - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
Initializes an iterative classifier.
initializeDistanceFunction(Instances) - Method in class weka.clusterers.Canopy
Initialize the distance function (i.e set min/max values for numeric attributes) with the supplied instances.
initializeDown(boolean) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
 
initializeModel(int, double[], double[], Random) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
Initializes the model.
initializeRanges(int) - Method in class weka.core.Debug.DBO
Initialize ranges, upper limit must be set
initializeRanges() - Method in class weka.core.NormalizableDistance
Initializes the ranges using all instances of the dataset.
initializeRanges(int[]) - Method in class weka.core.NormalizableDistance
Initializes the ranges of a subset of the instances of this dataset.
initializeRanges(int[], int, int) - Method in class weka.core.NormalizableDistance
Initializes the ranges of a subset of the instances of this dataset.
initializeRangesEmpty(int, double[][]) - Method in class weka.core.NormalizableDistance
Used to initialize the ranges.
initializeStatistics() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Triggers construction of estimator based on current data and then initializes the statistics.
initializeUp() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
 
initInternalFields() - Method in class weka.gui.visualize.MatrixPanel
Initializes internal data fields, i.e.
initPMML() - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
Initializes a PMML object with header information.
initStructure() - Method in class weka.classifiers.bayes.BayesNet
Init structure initializes the structure to an empty graph or a Naive Bayes graph (depending on the -N flag).
INJECT_DEPENDENCY_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for dependency injection
injectStreaming(Data, Step, boolean) - Method in class weka.knowledgeflow.StepInjectorFlowRunner
Inject streaming data into the target step in the flow
injectWithExecutionFinishedCallback(Data, ExecutionFinishedCallback, Step) - Method in class weka.knowledgeflow.StepInjectorFlowRunner
Inject data into the flow
InlineTable - Class in weka.core.pmml.jaxbbindings
Java class for InlineTable element declaration.
InlineTable() - Constructor for class weka.core.pmml.jaxbbindings.InlineTable
 
InMemory - Class in weka.classifiers.evaluation.output.prediction
* Stores the predictions in memory for programmatic retrieval.
* Stores the instance, a prediction object and a map of attribute names with their associated values if an attribute was defined in a container per prediction.
* The list of predictions can get retrieved using the getPredictions() method.
* File output is disabled and buffer doesn't need to be supplied.
InMemory() - Constructor for class weka.classifiers.evaluation.output.prediction.InMemory
 
InMemory.PredictionContainer - Class in weka.classifiers.evaluation.output.prediction
Container for storing the predictions alongside the additional attributes.
innerProduct(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Returns the inner product of two DoubleVectors
INPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection
This unit is an input unit.
input(Instance) - Method in class weka.filters.AllFilter
Input an instance for filtering.
input(Instance) - Method in class weka.filters.Filter
Input an instance for filtering.
input(Instance) - Method in class weka.filters.RenameRelation
 
input(Instance) - Method in class weka.filters.SimpleBatchFilter
Input an instance for filtering.
input(Instances) - Method in class weka.filters.SimpleBatchFilter
A version of the input(Instance) method that enables input of a whole dataset represented as an Instances object into the filter.
input(Instance) - Method in class weka.filters.SimpleStreamFilter
Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.AttributeSelection
Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
 
input(Instance) - Method in class weka.filters.supervised.attribute.ClassOrder
Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.Discretize
Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.NominalToBinary
Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.PartitionMembership
Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.instance.Resample
Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.instance.SpreadSubsample
Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Add
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddCluster
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddExpression
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddID
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddNoise
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddUserFields
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddValues
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Center
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Copy
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Discretize
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.FirstOrder
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.MathExpression
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.NominalToString
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Normalize
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.NumericTransform
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Obfuscate
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.RandomProjection
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Remove
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.RemoveType
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Reorder
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
 
input(Instance) - Method in class weka.filters.unsupervised.attribute.Standardize
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.StringToNominal
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.SwapValues
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.Randomize
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveFolds
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemovePercentage
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveRange
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.Resample
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.ReservoirSample
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Input an instance for filtering.
input(Instance) - Method in class weka.gui.streams.InstanceCounter
 
input(Instance) - Method in class weka.gui.streams.InstanceJoiner
 
input(Instance) - Method in class weka.gui.streams.InstanceSavePanel
 
input(Instance) - Method in class weka.gui.streams.InstanceTable
 
input(Instance) - Method in class weka.gui.streams.InstanceViewer
 
inputFormat(Instances) - Method in class weka.gui.streams.InstanceCounter
 
inputFormat(Instances) - Method in class weka.gui.streams.InstanceJoiner
Sets the format of the input instances.
inputFormat(Instances) - Method in class weka.gui.streams.InstanceSavePanel
 
inputFormat(Instances) - Method in class weka.gui.streams.InstanceTable
 
inputFormat(Instances) - Method in class weka.gui.streams.InstanceViewer
 
InputMappedClassifier - Class in weka.classifiers.misc
Wrapper classifier that addresses incompatible training and test data by building a mapping between the training data that a classifier has been built with and the incoming test instances' structure.
InputMappedClassifier() - Constructor for class weka.classifiers.misc.InputMappedClassifier
 
InputMappedClassifierBeanInfo - Class in weka.classifiers.misc
Bean info class for the InputMappedClassifier.
InputMappedClassifierBeanInfo() - Constructor for class weka.classifiers.misc.InputMappedClassifierBeanInfo
 
inputOrderTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
inputs(Vector<Object>, Integer...) - Static method in class weka.gui.beans.BeanConnection
Returns a vector of BeanInstances that can be considered as inputs (or the left-hand side of a sub-flow)
inputsContains(BeanInstance) - Method in class weka.gui.beans.MetaBean
 
inRanges(Instance, double[][]) - Method in class weka.core.NormalizableDistance
Test if an instance is within the given ranges.
insert(int) - Method in class weka.classifiers.functions.supportVector.SMOset
Inserts an element into the set.
insert(double, double, double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Inserts a new entry in the hashtable using the specified key.
insertAttributeAt(int) - Method in class weka.core.AbstractInstance
Inserts an attribute at the given position (0 to numAttributes()).
insertAttributeAt(int) - Method in interface weka.core.Instance
Inserts an attribute at the given position (0 to numAttributes()).
insertAttributeAt(Attribute, int) - Method in class weka.core.Instances
Inserts an attribute at the given position (0 to numAttributes()) and sets all values to be missing.
insertElementAt(E, int) - Method in class weka.core.FastVector
Deprecated.
Inserts an element at the given position.
insertElementAt(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Inserts the specified object as a component in this list at the specified index.
insertInstance(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
Insert a new instance (all values 0) at the given index.
insertInstance(int) - Method in class weka.gui.arffviewer.ArffTableModel
 
insertInstance(int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
 
insertString(int, String, AttributeSet) - Method in class weka.gui.scripting.SyntaxDocument
Override to apply syntax highlighting after the document has been updated.
install() - Method in class weka.core.packageManagement.DefaultPackage
Install this package.
install() - Method in class weka.core.packageManagement.Package
Install this package.
installedPackageResourceExists(String, String) - Static method in class weka.core.WekaPackageManager
Check if a named resource exists in an installed package
installLinearModels() - Method in class weka.classifiers.trees.m5.RuleNode
Traverses the tree and installs linear models at each node.
installNodeNums(int) - Method in class weka.classifiers.trees.ht.HNode
 
installNodeNums(int) - Method in class weka.classifiers.trees.ht.SplitNode
 
installPackageFromArchive(String, PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
Install a package from an archive on the local file system.
installPackageFromArchive(String, PrintStream...) - Method in class weka.core.packageManagement.PackageManager
Install a package from an archive on the local file system.
installPackageFromArchive(String, PrintStream...) - Static method in class weka.core.WekaPackageManager
Install a package from an archive (unofficial package install route)
installPackageFromRepository(String, Object, PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
Install a package sourced from the repository.
installPackageFromRepository(String, Object, PrintStream...) - Method in class weka.core.packageManagement.PackageManager
Install a package sourced from the repository.
installPackageFromRepository(String, String, PrintStream...) - Static method in class weka.core.WekaPackageManager
Install a named package by retrieving the location of the archive from the meta data stored in the repository
installPackageFromURL(URL, PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
Install a package sourced from a given URL.
installPackageFromURL(URL, PrintStream...) - Method in class weka.core.packageManagement.PackageManager
Install a package sourced from a given URL.
installPackageFromURL(URL, PrintStream...) - Static method in class weka.core.WekaPackageManager
Install a package from the supplied URL
installPackages(List<Package>, PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
Installs all the packages in the supplied list.
installPackages(List<Package>, PrintStream...) - Method in class weka.core.packageManagement.PackageManager
Installs all the packages in the supplied list.
installPackages(List<Package>, PrintStream...) - Static method in class weka.core.WekaPackageManager
Install the supplied list of packages
installSmoothedModels() - Method in class weka.classifiers.trees.m5.RuleNode
 
instance - Variable in class weka.classifiers.evaluation.output.prediction.InMemory.PredictionContainer
the instance.
Instance - Interface in weka.core
Interface representing an instance.
instance(int) - Method in class weka.core.Instances
Returns the instance at the given position.
INSTANCE_AVAILABLE - Static variable in class weka.gui.beans.InstanceEvent
 
INSTANCE_AVAILABLE - Static variable in class weka.gui.streams.InstanceEvent
Specifies that an instance is available
InstanceComparator - Class in weka.core
A comparator for the Instance class.
InstanceComparator() - Constructor for class weka.core.InstanceComparator
Initializes the comparator and includes the class in the comparison and all attributes included.
InstanceComparator(boolean) - Constructor for class weka.core.InstanceComparator
Initializes the comparator with all attributes included.
InstanceComparator(boolean, String, boolean) - Constructor for class weka.core.InstanceComparator
Initializes the comparator.
InstanceCounter - Class in weka.gui.streams
A bean that counts instances streamed to it.
InstanceCounter() - Constructor for class weka.gui.streams.InstanceCounter
 
InstanceEvent - Class in weka.gui.beans
Event that encapsulates a single instance or header information only
InstanceEvent(Object, Instance, int) - Constructor for class weka.gui.beans.InstanceEvent
Creates a new InstanceEvent instance that encapsulates a single instance only.
InstanceEvent(Object, Instances) - Constructor for class weka.gui.beans.InstanceEvent
Creates a new InstanceEvent instance which encapsulates header information only.
InstanceEvent(Object) - Constructor for class weka.gui.beans.InstanceEvent
 
InstanceEvent - Class in weka.gui.streams
An event encapsulating an instance stream event.
InstanceEvent(Object, int) - Constructor for class weka.gui.streams.InstanceEvent
Constructs an InstanceEvent with the specified source object and event type
InstanceField - Class in weka.core.pmml.jaxbbindings
Java class for InstanceField element declaration.
InstanceField() - Constructor for class weka.core.pmml.jaxbbindings.InstanceField
 
InstanceFields - Class in weka.core.pmml.jaxbbindings
Java class for InstanceFields element declaration.
InstanceFields() - Constructor for class weka.core.pmml.jaxbbindings.InstanceFields
 
InstanceInfo - Interface in weka.gui.visualize
Interface for JFrames that display instance info.
InstanceInfoFrame - Class in weka.gui.visualize
Frame for displaying information on the displayed data.
InstanceInfoFrame() - Constructor for class weka.gui.visualize.InstanceInfoFrame
Initializes the frame.
InstanceJoiner - Class in weka.gui.streams
A bean that joins two streams of instances into one.
InstanceJoiner() - Constructor for class weka.gui.streams.InstanceJoiner
Setup the initial states of the member variables
InstanceListener - Interface in weka.gui.beans
Interface to something that can accept instance events
InstanceListener - Interface in weka.gui.streams
An interface for objects interested in listening to streams of instances.
InstanceLoader - Class in weka.gui.streams
A bean that produces a stream of instances from a file.
InstanceLoader() - Constructor for class weka.gui.streams.InstanceLoader
 
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceCounter
 
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceJoiner
 
instanceProduced(InstanceEvent) - Method in interface weka.gui.streams.InstanceListener
 
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceSavePanel
 
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceTable
 
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceViewer
 
InstanceProducer - Interface in weka.gui.streams
An interface for objects capable of producing streams of instances.
InstanceQuery - Class in weka.experiment
Convert the results of a database query into instances.
InstanceQuery() - Constructor for class weka.experiment.InstanceQuery
Sets up the database drivers
InstanceQueryAdapter - Interface in weka.experiment
An interface implemented by InstanceQuery and any user class that is to be passed as the first argument to InstanceQuery.retrieveInstances(InstanceQueryAdapter, ResultSet).
instanceRangeTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Returns the tip text for this property
Instances - Class in weka.core
Class for handling an ordered set of weighted instances.
Instances(Reader) - Constructor for class weka.core.Instances
Reads an ARFF file from a reader, and assigns a weight of one to each instance.
Instances(Reader, int) - Constructor for class weka.core.Instances
Deprecated.
instead of using this method in conjunction with the readInstance(Reader) method, one should use the ArffLoader or DataSource class instead.
Instances(Instances) - Constructor for class weka.core.Instances
Constructor copying all instances and references to the header information from the given set of instances.
Instances(Instances, int) - Constructor for class weka.core.Instances
Constructor creating an empty set of instances.
Instances(Instances, int, int) - Constructor for class weka.core.Instances
Creates a new set of instances by copying a subset of another set.
Instances(String, ArrayList<Attribute>, int) - Constructor for class weka.core.Instances
Creates an empty set of instances.
InstanceSavePanel - Class in weka.gui.streams
A bean that saves a stream of instances to a file.
InstanceSavePanel() - Constructor for class weka.gui.streams.InstanceSavePanel
 
InstancesHelper - Class in weka.core.expressionlanguage.weka
A helper class to expose instance values and macros for instance values to a program
InstancesHelper(Instances) - Constructor for class weka.core.expressionlanguage.weka.InstancesHelper
Constructs an InstancesHelper for the given dataset.
InstancesHelper(Instances, boolean) - Constructor for class weka.core.expressionlanguage.weka.InstancesHelper
Constructs an InstancesHelper for the given dataset.
instancesIndicesTipText() - Method in class weka.filters.unsupervised.instance.RemoveRange
Returns the tip text for this property
InstancesResultListener - Class in weka.experiment
Outputs the received results in arff format to a Writer.
InstancesResultListener() - Constructor for class weka.experiment.InstancesResultListener
Sets temporary file.
InstancesSummaryPanel - Class in weka.gui
This panel just displays relation name, number of instances, and number of attributes.
InstancesSummaryPanel() - Constructor for class weka.gui.InstancesSummaryPanel
Creates the instances panel with no initial instances.
InstanceStreamToBatchMaker - Class in weka.gui.beans
Bean that converts an instance stream into a (batch) data set.
InstanceStreamToBatchMaker() - Constructor for class weka.gui.beans.InstanceStreamToBatchMaker
 
InstanceStreamToBatchMaker - Class in weka.knowledgeflow.steps
Step that converts an incoming instance stream to a batch dataset
InstanceStreamToBatchMaker() - Constructor for class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
 
InstanceStreamToBatchMakerBeanInfo - Class in weka.gui.beans
BeanInfo class for the InstanceStreamToBatchMaker bean
InstanceStreamToBatchMakerBeanInfo() - Constructor for class weka.gui.beans.InstanceStreamToBatchMakerBeanInfo
 
InstanceTable - Class in weka.gui.streams
A bean that takes a stream of instances and displays in a table.
InstanceTable() - Constructor for class weka.gui.streams.InstanceTable
 
instanceToSchema(Instance, MiningSchema) - Method in class weka.core.pmml.MappingInfo
Convert an Instance to an array of values that matches the format of the mining schema.
InstanceViewer - Class in weka.gui.streams
This is a very simple instance viewer - just displays the dataset as text output as it would be written to a file.
InstanceViewer() - Constructor for class weka.gui.streams.InstanceViewer
 
instantiateStep() - Method in class weka.gui.knowledgeflow.StepTreeLeafDetails
Instantiate the step at this leaf and return it wrapped in a StepVisual
instantiationComplete() - Method in class weka.gui.AbstractPerspective
No-opp implementation.
instantiationComplete() - Method in class weka.gui.experiment.Experimenter
Gets called if we are running in a GUIApplication.
instantiationComplete() - Method in class weka.gui.explorer.PreprocessPanel
We've been instantiated and now have access to the main application and PerspectiveManager
instantiationComplete() - Method in interface weka.gui.Perspective
Gets called when startup of the application has completed.
instantiationComplete() - Method in class weka.gui.SimpleCLIPanel
 
intCount - Variable in class weka.core.AttributeStats
The number of int-like values
INTEGER - Static variable in interface weka.core.json.sym
 
INTEGER - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
cluster subtype: integer
INTEGER - Static variable in class weka.experiment.DatabaseUtils
Type mapping for INTEGER used for reading experiment results.
InteractiveTableModel - Class in weka.gui.beans
Deprecated.
Use weka.gui.InteractiveTableModel instead. Retained for backward compatibility
InteractiveTableModel(String[]) - Constructor for class weka.gui.beans.InteractiveTableModel
Deprecated.
Constructor
InteractiveTableModel - Class in weka.gui
Table model that automatically adds a new row to the table on pressing enter in the last cell of a row.
InteractiveTableModel(String[]) - Constructor for class weka.gui.InteractiveTableModel
Constructor
InteractiveTableModelListener() - Constructor for class weka.gui.InteractiveTablePanel.InteractiveTableModelListener
 
InteractiveTablePanel - Class in weka.gui.beans
Deprecated.
Use weka.gui.InteractiveTablePanel instead. Retained for backward compatibility
InteractiveTablePanel(String[]) - Constructor for class weka.gui.beans.InteractiveTablePanel
Deprecated.
Constructor
InteractiveTablePanel - Class in weka.gui
Provides a panel using an interactive table model.
InteractiveTablePanel(String[]) - Constructor for class weka.gui.InteractiveTablePanel
Constructor
InteractiveTablePanel.InteractiveTableModelListener - Class in weka.gui
Listener for the InteractiveTablePanel
intercept() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
Return the intercept
internalCacheSizeTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the tip text for this property
internalDynamicToMap(String) - Static method in class weka.knowledgeflow.steps.SetVariables
 
internalDynamicToMap(String) - Static method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
internalToMap(String) - Static method in class weka.knowledgeflow.steps.SetVariables
Convert a string in the internal static variable representation to a map of variables + values
INTERPOLATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for INTERPOLATION-METHOD.
InterquartileRange - Class in weka.filters.unsupervised.attribute
A filter for detecting outliers and extreme values based on interquartile ranges.
InterquartileRange() - Constructor for class weka.filters.unsupervised.attribute.InterquartileRange
 
InterquartileRange.ValueType - Enum in weka.filters.unsupervised.attribute
enum for obtaining the various determined IQR values.
interrupted() - Method in interface weka.knowledgeflow.StepManager
Step implementations processing batch data should call this as soon as they have finished processing after a stop has been requested.
interrupted() - Method in class weka.knowledgeflow.StepManagerImpl
Finished processing due to a stop being requested.
Interval - Class in weka.core.pmml.jaxbbindings
Java class for Interval element declaration.
Interval() - Constructor for class weka.core.pmml.jaxbbindings.Interval
 
IntervalBasedEvaluationMetric - Interface in weka.classifiers.evaluation
Primarily a marker interface for interval-based evaluation metrics to implement.
IntervalEstimator - Interface in weka.classifiers
Interface for numeric prediction schemes that can output prediction intervals.
INTSparseArray - Class in weka.core.pmml.jaxbbindings
Java class for INT-SparseArray element declaration.
INTSparseArray() - Constructor for class weka.core.pmml.jaxbbindings.INTSparseArray
 
IntVector - Class in weka.core.matrix
A vector specialized on integers.
IntVector() - Constructor for class weka.core.matrix.IntVector
Constructs a null vector.
IntVector(int) - Constructor for class weka.core.matrix.IntVector
Constructs an n-vector of zeros.
IntVector(int, int) - Constructor for class weka.core.matrix.IntVector
Constructs an n-vector of a constant
IntVector(int[]) - Constructor for class weka.core.matrix.IntVector
Constructs a vector given an int array
INVALIDVALUETREATMENTMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for INVALID-VALUE-TREATMENT-METHOD.
INVERSE - Static variable in class weka.classifiers.lazy.LWL
 
inverse() - Method in class weka.core.matrix.Matrix
Matrix inverse or pseudoinverse
invertSelectionTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.core.NormalizableDistance
Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.supervised.attribute.Discretize
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.supervised.instance.Resample
Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Copy
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.MathExpression
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Remove
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RemoveByName
Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RemoveType
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.SortLabels
Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveRange
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.Resample
Returns the tip text for this property
invertTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns the tip text for this property
InvisibleNode - Class in weka.gui.knowledgeflow
Subclass of DefaultMutableTreeNode that can hide itself in a JTree.
InvisibleNode() - Constructor for class weka.gui.knowledgeflow.InvisibleNode
Constructor
InvisibleNode(Object) - Constructor for class weka.gui.knowledgeflow.InvisibleNode
Constructor for a new node that allows children and is visible
InvisibleNode(Object, boolean, boolean) - Constructor for class weka.gui.knowledgeflow.InvisibleNode
Constructor
InvisibleTreeModel - Class in weka.gui.knowledgeflow
Subclass of DefaultTreeModel that contains InvisibleNodes.
InvisibleTreeModel(TreeNode) - Constructor for class weka.gui.knowledgeflow.InvisibleTreeModel
Constructor
InvisibleTreeModel(TreeNode, boolean) - Constructor for class weka.gui.knowledgeflow.InvisibleTreeModel
Constuctor
InvisibleTreeModel(TreeNode, boolean, boolean) - Constructor for class weka.gui.knowledgeflow.InvisibleTreeModel
Constructor
invoke(String, Class<?>[], Object[]) - Method in class weka.core.scripting.Groovy
executes the specified method on the current interpreter and returns the result, if any.
invoke(Object, String, Class<?>[], Object[]) - Static method in class weka.core.scripting.Groovy
executes the specified method and returns the result, if any.
invoke(String, Class<?>[], Object[]) - Method in class weka.core.scripting.Jython
executes the specified method on the current interpreter and returns the result, if any.
invoke(Object, String, Class<?>[], Object[]) - Static method in class weka.core.scripting.Jython
executes the specified method and returns the result, if any
invokeMain(String, String[]) - Static method in class weka.gui.SplashWindow
Invokes the main method of the provided class name.
invokeMethod(String, String, String[]) - Static method in class weka.gui.SplashWindow
Invokes the named method of the provided class name.
IRClassValueTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns the tip text for this property
IRClassValueTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
IRClassValueTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns the tip text for this property
is(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'is' is operator (to check for string equality)
IS - Static variable in interface weka.core.expressionlanguage.parser.sym
 
is(String) - Method in class weka.core.Stopwords
Returns true if the given string is a stop word.
isActivatedFilter() - Method in class weka.gui.knowledgeflow.InvisibleTreeModel
Return true if the visibility filter is active
isALeaf() - Method in class weka.core.neighboursearch.balltrees.BallNode
Returns true if the node is a leaf node (if both its left and right child are null).
isALeaf() - Method in class weka.core.neighboursearch.CoverTree.CoverTreeNode
Returns whether if the node is a leaf or not.
isALeaf() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
Checks if node is a leaf.
isAllowed(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
returns whether the given property (display name) is allowed for the given class.
isAllowed(Object, String) - Method in class weka.core.xml.PropertyHandler
returns whether the given property (display name) is allowed for the given object .
isAnonymous() - Method in class weka.core.json.JSONNode
Checks whether the node is anonymous.
isArff(String) - Static method in class weka.core.converters.ConverterUtils.DataSource
returns whether the extension of the location is likely to be of ARFF format, i.e., ending in ".arff" or ".arff.gz" (case-insensitive).
isArray() - Method in class weka.core.json.JSONNode
Returns wether the node is an array.
isArray(Element) - Static method in class weka.core.pmml.Array
Utility method to check if an XML element is an array.
isAttribute() - Method in enum weka.core.Capabilities.Capability
returns true if the capability is an attribute
isAttribute(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
Check if given index is in range of column indices for attributes
isAttribute(int) - Method in class weka.gui.arffviewer.ArffTableModel
Check if given index is in range of column indices for attributes
isAttributeCapability() - Method in enum weka.core.Capabilities.Capability
returns true if the capability is an attribute capability
isAveragable() - Method in class weka.core.Attribute
Returns whether the attribute can be averaged meaningfully.
isBoolean(int) - Method in class weka.datagenerators.clusterers.SubspaceCluster
Returns true if attribute is boolean
isBorderOpaque() - Method in class weka.gui.beans.ShadowBorder
This implementation always returns true.
isBorderOpaque() - Method in class weka.gui.knowledgeflow.ShadowBorder
This implementation always returns true.
isBoundOR() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
Returns true if this is a bounded OR type of constraint
isBusy() - Method in class weka.gui.beans.Appender
Returns true if.
isBusy() - Method in class weka.gui.beans.Associator
Returns true if.
isBusy() - Method in interface weka.gui.beans.BeanCommon
Returns true if.
isBusy() - Method in class weka.gui.beans.ClassAssigner
Returns true if.
isBusy() - Method in class weka.gui.beans.Classifier
Returns true if.
isBusy() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Returns true if.
isBusy() - Method in class weka.gui.beans.ClassValuePicker
Returns true if.
isBusy() - Method in class weka.gui.beans.Clusterer
Returns true if.
isBusy() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Returns true if.
isBusy() - Method in class weka.gui.beans.CostBenefitAnalysis
Returns true if.
isBusy() - Method in class weka.gui.beans.CrossValidationFoldMaker
Returns true if.
isBusy() - Method in class weka.gui.beans.DataVisualizer
Returns true if.
isBusy() - Method in class weka.gui.beans.Filter
Returns true if.
isBusy() - Method in class weka.gui.beans.FlowByExpression
 
isBusy() - Method in class weka.gui.beans.ImageSaver
 
isBusy() - Method in class weka.gui.beans.ImageViewer
 
isBusy() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Returns true if.
isBusy() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Returns true if.
isBusy() - Method in class weka.gui.beans.Join
Returns true if we are doing something
isBusy() - Method in class weka.gui.beans.Loader
Returns true if.
isBusy() - Method in class weka.gui.beans.MetaBean
Returns true if.
isBusy() - Method in class weka.gui.beans.ModelPerformanceChart
Returns true if.
isBusy() - Method in class weka.gui.beans.PredictionAppender
Returns true if.
isBusy() - Method in class weka.gui.beans.Saver
Returns true if.
isBusy() - Method in class weka.gui.beans.SerializedModelSaver
Returns true if.
isBusy() - Method in class weka.gui.beans.Sorter
Returns true if.
isBusy() - Method in class weka.gui.beans.StripChart
Returns true if.
isBusy() - Method in class weka.gui.beans.SubstringLabeler
Returns true if.
isBusy() - Method in class weka.gui.beans.SubstringReplacer
Returns true if.
isBusy() - Method in class weka.gui.beans.TestSetMaker
Returns true if.
isBusy() - Method in class weka.gui.beans.TextSaver
 
isBusy() - Method in class weka.gui.beans.TextViewer
Returns true if.
isBusy() - Method in class weka.gui.beans.TrainingSetMaker
Returns true if.
isBusy() - Method in class weka.gui.beans.TrainTestSplitMaker
Returns true if.
isBusy() - Method in class weka.gui.SimpleCLIPanel
Checks whether a thread is currently running.
isCellEditable(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
returns true if the cell at rowindex and columnindexis editable
isCellEditable(int, int) - Method in class weka.gui.InteractiveTableModel
 
isCellEditable(int, int) - Method in class weka.gui.SortedTableModel
Returns true if the cell at rowIndex and columnIndex is editable.
isCellEditable(int, int) - Method in class weka.gui.sql.ResultSetTableModel
returns true if the cell at rowindex and columnindexis editable.
isChanged() - Method in class weka.classifiers.bayes.net.EditableBayesNet
return true when current state differs from the state the network was last saved
isChanged() - Method in class weka.gui.arffviewer.ArffPanel
returns whether the content of the panel was changed
isChanged() - Method in class weka.gui.ViewerDialog
returns whether the data has been changed
isClass() - Method in enum weka.core.Capabilities.Capability
returns true if the capability is a class
isClassCapability() - Method in enum weka.core.Capabilities.Capability
returns true if the capability is a other capability
isClassname(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
tests whether the given partial string is the name of a class with classpath - it basically tests, whether the string consists only of alphanumeric literals, underscores and dots.
isCompatibleBaseSystem() - Method in class weka.core.packageManagement.DefaultPackage
Returns true if this package is compatible with the currently installed version of the base system.
isCompatibleBaseSystem() - Method in class weka.core.packageManagement.Package
Returns true if this package is compatible with the currently installed version of the base system.
isConnected() - Method in class weka.experiment.DatabaseUtils
Returns true if a database connection is active.
isConnected() - Method in class weka.gui.sql.event.ConnectionEvent
returns whether the connection is still open.
isContinuous() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
checks, whether cluster sub type is continuous
isCoreFileLoader(String) - Static method in class weka.core.converters.ConverterResources
checks whether the given class is one of the hardcoded core file loaders.
isCoreFileSaver(String) - Static method in class weka.core.converters.ConverterResources
checks whether the given class is one of the hardcoded core file savers.
isCpuTime() - Method in class weka.core.Debug.Clock
whether the measurement is based on the msecs returned from the System class or on the more accurate CPU time.
isCursorScrollable() - Method in class weka.experiment.DatabaseUtils
Checks whether cursors are scrollable in general, false otherwise (also if not connected).
isCursorScrollSensitive() - Method in class weka.experiment.DatabaseUtils
Returns whether the cursors only support forward movement or are scroll sensitive (with ResultSet.CONCUR_READ_ONLY concurrency).
isDataIsThresholdData() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Returns true if the plots being stored are threshold plots
isDate() - Method in class weka.core.Attribute
Tests if the attribute is a date type.
isDelimiter(String) - Method in class weka.gui.scripting.SyntaxDocument
Checks whether the character is a delimiter.
isEmpty() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Tests if this hashtable maps no keys to values.
isEmpty() - Method in class weka.core.matrix.DoubleVector
Checks if it is an empty vector
isEmpty() - Method in class weka.core.matrix.IntVector
Returns true if the vector is empty
isEmpty() - Method in class weka.core.Trie
Returns true if this collection contains no elements.
isEnabled(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
whether the given capability is enabled.
isEnabled() - Method in class weka.core.Memory
returns whether the memory management is enabled
isEnabledNot(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
whether the given "not to have" capability is enabled.
isExecuting() - Method in class weka.gui.knowledgeflow.VisibleLayout
Returns true if the flow managed by this layout is currently executing
isFinished() - Method in class weka.knowledgeflow.steps.PairedDataHelper
Return true if there is no further processing to be done
isFirstBatchDone() - Method in class weka.filters.Filter
Returns true if the first batch of instances got processed.
isFullRank() - Method in class weka.core.matrix.QRDecomposition
Is the matrix full rank?
isGaussian() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
checks, whether cluster type is gaussian
isHeadless() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Get whether this execution environment is headless
isHeadless() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Get whether this execution environment is headless
isHidden() - Method in class weka.gui.beans.BeanConnection
Returns true if this connection is invisible
isHierachic(String) - Method in class weka.gui.HierarchyPropertyParser
Whether the given string has a hierachy structure with the seperators
isIgnored(String) - Method in class weka.core.xml.PropertyHandler
checks whether the given display name is an ignored property
isIgnored(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
checks whether the given display name of a certain class is an ignored property.
isIgnored(Object, String) - Method in class weka.core.xml.PropertyHandler
checks whether the given display name of a given object is an ignored property.
isIncremental() - Method in class weka.core.converters.ConverterUtils.DataSource
returns whether the loader is an incremental one.
isIncremental() - Method in class weka.knowledgeflow.Data
Return true if the connection specified for this data object is incremental
isInDisabledList(String) - Static method in class weka.core.PluginManager
Returns true if the supplied fully qualified class name is in the disabled list
isInDisabledList(String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Returns true if the supplied fully qualified class name is in the disabled list
isInitialAnchorRandom() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Gets whether if the initial anchor is chosen randomly.
isInRange(double) - Method in class weka.core.Attribute
Determines whether a value lies within the bounds of the attribute.
isInRange(int) - Method in class weka.core.Range
Gets whether the supplied cardinal number is included in the current range.
isInstalled() - Method in class weka.core.packageManagement.DefaultPackage
Returns true if this package is already installed
isInstalled() - Method in class weka.core.packageManagement.Package
Returns true if this package is already installed
isInteger() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
checks, whether cluster sub type is integer
isIsIntercept() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Gets the value of the isIntercept property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.MiningModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.TextModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.TreeModel
Gets the value of the isScorable property.
isIsTransformed() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Gets the value of the isTransformed property.
isKeyword(String) - Method in class weka.experiment.DatabaseUtils
Checks whether the given string is a reserved keyword.
isKOML(String) - Static method in class weka.core.xml.SerialUIDChanger
checks whether the given filename ends with ".koml"
isLeaf() - Method in class weka.classifiers.trees.ht.HNode
Returns true if this is a leaf
isLeaf() - Method in class weka.classifiers.trees.ht.SplitNode
 
isLeaf() - Method in class weka.classifiers.trees.j48.ClassifierTree
 
isLeaf() - Method in class weka.classifiers.trees.m5.RuleNode
Return true if this node is a leaf
isLeafReached() - Method in class weka.gui.HierarchyPropertyParser
Whether the current position is a leaf
isMemoryLow() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Return true if memory is running low
isMissing(int) - Method in class weka.core.AbstractInstance
Tests if a specific value is "missing".
isMissing(Attribute) - Method in class weka.core.AbstractInstance
Tests if a specific value is "missing".
isMissing(int) - Method in interface weka.core.Instance
Tests if a specific value is "missing".
isMissing(Attribute) - Method in interface weka.core.Instance
Tests if a specific value is "missing".
isMissingAt(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
checks whether the value at the given position is missing
isMissingAt(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
checks whether the value at the given position is missing
isMissingSparse(int) - Method in class weka.core.AbstractInstance
Tests if a specific value is "missing", given an index in the sparse representation.
isMissingSparse(int) - Method in interface weka.core.Instance
Tests if a specific value is "missing" in the sparse representation.
isMissingValue(double) - Static method in class weka.core.Utils
Tests if the given value codes "missing".
isModified() - Method in class weka.gui.scripting.Script
Returns whether the script is modified.
isMonitoring() - Method in class weka.gui.MemoryUsagePanel
Returns whether the thread is still running.
isNegated() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Get whether this node is negated.
isNewBatch() - Method in class weka.filters.Filter
Returns true if the a new batch was started, either a new instance of the filter was created or the batchFinished() method got called.
isNewer(String) - Method in class weka.core.Version
checks whether this version is newer than the one from the given version string
isNominal() - Method in class weka.core.Attribute
Test if the attribute is nominal.
isNominal(int) - Method in class weka.datagenerators.clusterers.SubspaceCluster
Returns true if attribute is nominal
isNominal() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns true if selection attribute is nominal.
isNominal() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns true if selection attribute is nominal.
isNonsingular() - Method in class weka.core.matrix.LUDecomposition
Is the matrix nonsingular?
isNotificationEnabled() - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns whether the notification of changes is enabled
isNotificationEnabled() - Method in class weka.gui.arffviewer.ArffTableModel
returns whether the notification of changes is enabled
isNullAt(int, int) - Method in class weka.gui.sql.ResultSetTableModel
checks whether the value of the cell is NULL.
isNumeric() - Method in class weka.core.Attribute
Tests if the attribute is numeric.
isNumeric() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns true if selection attribute is numeric.
isNumericAt(int) - Method in class weka.gui.sql.ResultSetTableModel
returns whether the column at the given index is numeric.
isObject() - Method in class weka.core.json.JSONNode
Returns wether the node is an object.
isOlder(String) - Method in class weka.core.Version
checks whether this version is older than the one from the given version string
isOr() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Get whether this node is to be OR'ed
isOtherCapability() - Method in enum weka.core.Capabilities.Capability
returns true if the capability is a class capability
isOutOfMemory() - Method in class weka.core.Memory
checks if there's still enough memory left by checking whether there is still a 50MB margin between getUsed() and getMax().
isOutputFormatDefined() - Method in class weka.filters.Filter
Returns whether the output format is ready to be collected
isOutputFormatDefined() - Method in class weka.filters.unsupervised.attribute.RemoveType
Returns whether the output format is ready to be collected
isPaintable() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
isPaintable() - Method in class weka.gui.ColorEditor
We paint our current color into the supplied bounding box
isPaintable() - Method in class weka.gui.CostMatrixEditor
Indicates whether the object can be represented graphically.
isPaintable() - Method in class weka.gui.EnvironmentField
 
isPaintable() - Method in class weka.gui.FileEditor
Returns true since this editor is paintable.
isPaintable() - Method in class weka.gui.GenericArrayEditor
Returns true to indicate that we can paint a representation of the string array.
isPaintable() - Method in class weka.gui.GenericObjectEditor
Returns true to indicate that we can paint a representation of the Object.
isPaintable() - Method in class weka.gui.PasswordField
 
isPaintable() - Method in class weka.gui.SimpleDateFormatEditor
Indicates whether the object can be represented graphically.
isPanelSelected() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
checks whether a panel is currently selected
isPerspectivesToolBarVisible() - Method in class weka.gui.AbstractGUIApplication
Returns true if the perspectives toolbar is visible at the current time
isPerspectivesToolBarVisible() - Method in interface weka.gui.GUIApplication
Returns true if the perspectives toolbar is visible at the current time
isPresent() - Static method in class weka.core.scripting.Groovy
returns whether the Groovy classes are present or not, i.e.
isPresent() - Static method in class weka.core.scripting.Jython
returns whether the Jython classes are present or not, i.e.
isPresent() - Static method in class weka.core.stemmers.SnowballStemmer
returns whether Snowball is present or not, i.e.
isPresent() - Static method in class weka.core.xml.KOML
returns whether KOML is present or not, i.e.
isPresent() - Static method in class weka.core.xml.XStream
returns whether XStream is present or not, i.e.
isPrimitive() - Method in class weka.core.json.JSONNode
Returns whether the node stores a primitive value or a an array/object.
isQuoteDelimiter(String) - Method in class weka.gui.scripting.SyntaxDocument
Checks whether the character is quote delimiter.
isRandom() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
checks, whether cluster type is random
isReadOnly() - Method in class weka.gui.arffviewer.ArffPanel
returns whether the model is read-only
isReadOnly() - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns whether the model is read-only
isReadOnly() - Method in class weka.gui.arffviewer.ArffTable
returns whether the model is read-only
isReadOnly() - Method in class weka.gui.arffviewer.ArffTableModel
returns whether the model is read-only
isRegular() - Method in class weka.core.Attribute
Returns whether the attribute values are equally spaced.
isRelationValued() - Method in class weka.core.Attribute
Tests if the attribute is relation valued.
isResourceIntensive() - Method in class weka.knowledgeflow.steps.BaseStep
Get whether this step is resource intensive (cpu/memory) or not.
isResourceIntensive() - Method in class weka.knowledgeflow.StepTask
Get whether this StepTask is resource intensive (cpu/memory) or not.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.AveragingResultProducer
Determines whether the results for a specified key must be generated.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.CSVResultListener
Always says a result is required.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.DatabaseResultListener
Always says a result is required.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.DatabaseResultProducer
Determines whether the results for a specified key must be generated.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.LearningRateResultProducer
Determines whether the results for a specified key must be generated.
isResultRequired(ResultProducer, Object[]) - Method in interface weka.experiment.ResultListener
Determines whether the results for a specified key must be generated.
isRHSAnAttribute() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Returns true if the RHS is an attribute rather than a constant
isRootReached() - Method in class weka.gui.HierarchyPropertyParser
Whether the current position is the root
isRunning() - Method in class weka.core.Debug.Clock
whether the time is still being clocked
isRunning() - Method in class weka.gui.scripting.Script
Returns whether the script is still running.
isSaved() - Method in class weka.classifiers.bayes.net.EditableBayesNet
indicate the network state was saved
isSelectedCollectPredictionsForEvaluation() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to collect the predictions for computing evaluation statistics
isSelectedCV() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether cross-validation has been selected by the user
isSelectedEvalWithRespectToCosts() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether evaluation with respect to costs has been selected by the user
isSelectedOutputConfusion() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to output the confusion matrix
isSelectedOutputEntropy() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to output entropy metrics
isSelectedOutputModel() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to output the model
isSelectedOutputModelsForTrainingSplits() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to output the models for the training splits
isSelectedOutputPerClassStats() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to output per-class stats
isSelectedOutputSourceCode() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to output source code
isSelectedPercentageSplit() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether a percentage split has been selected by the user
isSelectedPreserveOrder() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to preserve order of instances in a percentage split
isSelectedSeparateTestSet() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether a separate test set has been selected by the user
isSelectedStoreTestDataAndPredictions() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether the user has opted to store the test data and the predictions in the history
isSelectedTestOnTrain() - Method in class weka.gui.explorer.ClassifierPanel
Gets whether test on train has been selected by the user
isSerializable(String) - Static method in class weka.core.SerializationHelper
checks whether a class is serializable.
isSerializable(Class<?>) - Static method in class weka.core.SerializationHelper
checks whether a class is serializable.
isSorted() - Method in class weka.gui.SortedTableModel
returns whether the table was sorted
isSparse() - Method in class weka.core.pmml.Array
Is this array a SparseArray?
isSparse() - Method in class weka.core.pmml.SparseArray
Overrides isSparse() in Array and always returns true.
isSPD() - Method in class weka.core.matrix.CholeskyDecomposition
Is the matrix symmetric and positive definite?
isSquare() - Method in class weka.core.matrix.Matrix
returns whether the matrix is a square matrix or not.
isStepBusy() - Method in interface weka.knowledgeflow.StepManager
Returns true if, at this time, the step managed by this step manager is currently busy with processing
isStepBusy() - Method in class weka.knowledgeflow.StepManagerImpl
Returns true if, at the current time, the managed step is busy with processing
isStepFinished() - Method in interface weka.knowledgeflow.StepManager
Return true if the current step is finished.
isStepFinished() - Method in class weka.knowledgeflow.StepManagerImpl
Return true if the current step is finished.
isStopRequested() - Method in interface weka.knowledgeflow.StepManager
Return true if a stop has been requested by the runtime environment
isStopRequested() - Method in class weka.knowledgeflow.StepManagerImpl
Return true if a stop has been requested by the runtime environment
isStopRequested() - Method in class weka.knowledgeflow.steps.BaseStep
Convenience method that calls StepManager.isStopRequested()
isStopword(String) - Method in class weka.core.stopwords.AbstractStopwords
Returns true if the given string is a stop word.
isStopword(String) - Static method in class weka.core.Stopwords
Returns true if the given string is a stop word.
isStopword(String) - Method in interface weka.core.stopwords.StopwordsHandler
Returns true if the given string is a stop word.
isStreamableFilter() - Method in class weka.filters.MultiFilter
tests whether all the enclosed filters are streamable
isStreamFinished(Data) - Method in interface weka.knowledgeflow.StepManager
Returns true if this data object marks the end of an incremental stream.
isStreamFinished(Data) - Method in class weka.knowledgeflow.StepManagerImpl
Returns true if this data object marks the end of an incremental stream.
isString() - Method in class weka.core.Attribute
Tests if the attribute is a string.
isStructureOnly() - Method in class weka.gui.beans.DataSetEvent
Returns true if the encapsulated instances contain just header information
isStructureOnly() - Method in class weka.gui.beans.TestSetEvent
Returns true if the encapsulated instances contain just header information
isStructureOnly() - Method in class weka.gui.beans.TrainingSetEvent
Returns true if the encapsulated instances contain just header information
isSubclass(String, String) - Static method in class weka.core.InheritanceUtils
Checks whether the "otherclass" is a subclass of the given "superclass".
isSubclass(Class<?>, Class<?>) - Static method in class weka.core.InheritanceUtils
Checks whether the "otherclass" is a subclass of the given "superclass".
isSymmetric() - Method in class weka.core.Matrix
Deprecated.
Returns true if the matrix is symmetric.
isSymmetric() - Method in class weka.core.matrix.Matrix
Returns true if the matrix is symmetric.
isUndoEnabled() - Method in interface weka.core.Undoable
returns whether undo support is enabled
isUndoEnabled() - Method in class weka.gui.arffviewer.ArffPanel
returns whether undo support is enabled
isUndoEnabled() - Method in class weka.gui.arffviewer.ArffSortedTableModel
returns whether undo support is enabled
isUndoEnabled() - Method in class weka.gui.arffviewer.ArffTableModel
returns whether undo support is enabled
isUniform() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
checks, whether cluster type is uniform
isUseK2Prior() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
Returns whether K2 prior is used
isUseK2Prior() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
 
isUseReasonCodes() - Method in class weka.core.pmml.jaxbbindings.Scorecard
Gets the value of the useReasonCodes property.
isUseVariant1() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Whether variant 1 is used
isVisible() - Method in class weka.gui.knowledgeflow.InvisibleNode
Returns true if this node is visible
isWrappedAlgorithm() - Method in class weka.gui.knowledgeflow.StepTreeLeafDetails
Returns true if this leaf represents a wrapped Weka algorithm (i.e.
Item - Class in weka.associations
Class that encapsulates information about an individual item.
Item(Attribute) - Constructor for class weka.associations.Item
 
Item - Class in weka.core.pmml.jaxbbindings
Java class for Item element declaration.
Item() - Constructor for class weka.core.pmml.jaxbbindings.Item
 
itemAt(int) - Method in class weka.associations.ItemSet
Gest the index of the value of the specified attribute
ItemRef - Class in weka.core.pmml.jaxbbindings
Java class for ItemRef element declaration.
ItemRef() - Constructor for class weka.core.pmml.jaxbbindings.ItemRef
 
items() - Method in class weka.associations.ItemSet
Gest the item set as an int array
ItemSet - Class in weka.associations
Class for storing a set of items.
ItemSet(int) - Constructor for class weka.associations.ItemSet
Constructor
ItemSet(int, int[]) - Constructor for class weka.associations.ItemSet
Constructor
ItemSet(int[]) - Constructor for class weka.associations.ItemSet
Contsructor
Itemset - Class in weka.core.pmml.jaxbbindings
Java class for Itemset element declaration.
Itemset() - Constructor for class weka.core.pmml.jaxbbindings.Itemset
 
itemStateChanged(ItemEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Performs the action associated with the ItemEvent.
IteratedLovinsStemmer - Class in weka.core.stemmers
An iterated version of the Lovins stemmer.
IteratedLovinsStemmer() - Constructor for class weka.core.stemmers.IteratedLovinsStemmer
 
IteratedSingleClassifierEnhancer - Class in weka.classifiers
Abstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.
IteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.IteratedSingleClassifierEnhancer
 
IterativeClassifier - Interface in weka.classifiers
Interface for classifiers that can induce models of growing complexity one step at a time.
IterativeClassifierOptimizer - Class in weka.classifiers.meta
Chooses the best number of iterations for an IterativeClassifier such as LogitBoost using cross-validation or a percentage split evaluation.
IterativeClassifierOptimizer() - Constructor for class weka.classifiers.meta.IterativeClassifierOptimizer
 
iterativeClassifierTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
iterator() - Method in class weka.core.Trie
Returns an iterator over the elements in this collection.
iterator() - Method in class weka.knowledgeflow.Flow
Get an Iterator over the Steps in this flow

J

J48 - Class in weka.classifiers.trees
Class for generating a pruned or unpruned C4.5 decision tree.
J48() - Constructor for class weka.classifiers.trees.J48
 
Jaccard - Class in weka.core.pmml.jaxbbindings
Java class for jaccard element declaration.
Jaccard() - Constructor for class weka.core.pmml.jaxbbindings.Jaccard
 
Java - Class in weka.gui.simplecli
Sets a variable.
Java() - Constructor for class weka.gui.simplecli.Java
 
Javadoc - Class in weka.core
Abstract superclass for classes that generate Javadoc comments and replace the content between certain comment tags.
Javadoc() - Constructor for class weka.core.Javadoc
 
JavaMacro - Class in weka.core.expressionlanguage.common
A macro declarations that exposes the java macro to a program.
JavaMacro() - Constructor for class weka.core.expressionlanguage.common.JavaMacro
 
JComponentWriter - Class in weka.gui.visualize
This class takes any JComponent and outputs it to a file.
JComponentWriter() - Constructor for class weka.gui.visualize.JComponentWriter
initializes the object
JComponentWriter(JComponent) - Constructor for class weka.gui.visualize.JComponentWriter
initializes the object with the given Component
JComponentWriter(JComponent, File) - Constructor for class weka.gui.visualize.JComponentWriter
initializes the object with the given Component and filename
JListHelper - Class in weka.gui
A helper class for JList GUI elements with DefaultListModel or derived models.
JListHelper() - Constructor for class weka.gui.JListHelper
 
Job - Class in weka.knowledgeflow.steps
Step that executes another flow as a "job".
Job() - Constructor for class weka.knowledgeflow.steps.Job
 
JobEnvironment - Class in weka.knowledgeflow
Extended Environment with support for storing results and property values to be set at a later date on the base schemes of WekaAlgorithmWrapper steps.
JobEnvironment() - Constructor for class weka.knowledgeflow.JobEnvironment
Constructor
JobEnvironment(Environment) - Constructor for class weka.knowledgeflow.JobEnvironment
Construct a JobEnvironment by copying the contents of a standard Environment
JobStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Editor dialog for the Job step.
JobStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.JobStepEditorDialog
 
Join - Class in weka.gui.beans
 
Join() - Constructor for class weka.gui.beans.Join
Constructor
Join - Class in weka.knowledgeflow.steps
Step that performs an inner join on one or more key fields from two incoming batch or streaming datasets.
Join() - Constructor for class weka.knowledgeflow.steps.Join
 
JoinBeanInfo - Class in weka.gui.beans
BeanInfo for the Join step
JoinBeanInfo() - Constructor for class weka.gui.beans.JoinBeanInfo
 
JoinCustomizer - Class in weka.gui.beans
Customizer component for the Join step
JoinCustomizer() - Constructor for class weka.gui.beans.JoinCustomizer
 
joinOptions(String[]) - Static method in class weka.core.Utils
Joins all the options in an option array into a single string, as might be used on the command line.
JoinStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the Join step
JoinStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.JoinStepEditorDialog
 
JPEGWriter - Class in weka.gui.visualize
This class takes any JComponent and outputs it to a JPEG-file.
JPEGWriter() - Constructor for class weka.gui.visualize.JPEGWriter
initializes the object.
JPEGWriter(JComponent) - Constructor for class weka.gui.visualize.JPEGWriter
initializes the object with the given Component.
JPEGWriter(JComponent, File) - Constructor for class weka.gui.visualize.JPEGWriter
initializes the object with the given Component and filename.
JRip - Class in weka.classifiers.rules
This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which was proposed by William W.
JRip() - Constructor for class weka.classifiers.rules.JRip
 
JRip.Antd - Class in weka.classifiers.rules
The single antecedent in the rule, which is composed of an attribute and the corresponding value.
JRip.NominalAntd - Class in weka.classifiers.rules
The antecedent with nominal attribute
JRip.NumericAntd - Class in weka.classifiers.rules
The antecedent with numeric attribute
JRip.RipperRule - Class in weka.classifiers.rules
This class implements a single rule that predicts specified class.
JSONFlowLoader - Class in weka.knowledgeflow
Flow loader that wraps the routines in JSONFlowUtils
JSONFlowLoader() - Constructor for class weka.knowledgeflow.JSONFlowLoader
 
JSONFlowUtils - Class in weka.knowledgeflow
Utilities for building and saving flows from JSON data
JSONFlowUtils() - Constructor for class weka.knowledgeflow.JSONFlowUtils
 
JSONInstances - Class in weka.core.json
Class for transforming Instances objects into JSON objects and vice versa.
JSONInstances() - Constructor for class weka.core.json.JSONInstances
 
JSONLoader - Class in weka.core.converters
Reads a source that is in the JSON format.
It automatically decompresses the data if the extension is '.json.gz'.

For more information, see JSON homepage:
http://www.json.org/

JSONLoader() - Constructor for class weka.core.converters.JSONLoader
 
JSONNode - Class in weka.core.json
Container class for storing a JSON data structure.
JSONNode() - Constructor for class weka.core.json.JSONNode
Initializes the root container.
JSONNode(String, Boolean) - Constructor for class weka.core.json.JSONNode
Initializes the primitive container.
JSONNode(String, Integer) - Constructor for class weka.core.json.JSONNode
Initializes the primitive container.
JSONNode(String, Double) - Constructor for class weka.core.json.JSONNode
Initializes the primitive container.
JSONNode(String, String) - Constructor for class weka.core.json.JSONNode
Initializes the primitive container.
JSONNode.NodeType - Enum in weka.core.json
The type of a node.
JSONSaver - Class in weka.core.converters
Writes to a destination that is in JSON format.
The data can be compressed with gzip, in order to save space.

For more information, see JSON homepage:
http://www.json.org/

Valid options are:

JSONSaver() - Constructor for class weka.core.converters.JSONSaver
Constructor.
JSONToFlow(String) - Static method in class weka.knowledgeflow.Flow
Parse a Flow from the supplied JSON string
JSONToFlow(String, boolean) - Static method in class weka.knowledgeflow.Flow
Parse a Flow from the supplied JSON string
JSONToFlow(String, boolean) - Static method in class weka.knowledgeflow.JSONFlowUtils
Utility routine to deserialize a flow from the supplied JSON string
JTableHelper - Class in weka.gui
A helper class for JTable, e.g.
JTableHelper(JTable) - Constructor for class weka.gui.JTableHelper
initializes the object
JTreePopupMenu(JTree) - Constructor for class weka.gui.GenericObjectEditor.JTreePopupMenu
Constructs a new popup menu.
Jython - Class in weka.core.scripting
A helper class for Jython.
Jython() - Constructor for class weka.core.scripting.Jython
default constructor, tries to instantiate a Python Interpreter
JythonObject - Interface in weka.core.scripting
An indicator interface for Jython objects.
JythonPanel - Class in weka.gui.scripting
A scripting panel for Jython.
JythonPanel() - Constructor for class weka.gui.scripting.JythonPanel
 
JythonScript - Class in weka.gui.scripting
Represents a Jython script.
JythonScript() - Constructor for class weka.gui.scripting.JythonScript
Initializes the script.
JythonScript(Document) - Constructor for class weka.gui.scripting.JythonScript
Initializes the script.
JythonScript(Document, File) - Constructor for class weka.gui.scripting.JythonScript
Initializes the script.
JythonScript.JythonThread - Class in weka.gui.scripting
Executes a Jython script in a thread.
JythonSerializableObject - Interface in weka.core.scripting
An indicator interface for serializable Jython objects.
JythonThread(Script, String[]) - Constructor for class weka.gui.scripting.JythonScript.JythonThread
Initializes the thread.

K

K2 - Class in weka.classifiers.bayes.net.search.global
This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.

For more information see:

G.F.
K2() - Constructor for class weka.classifiers.bayes.net.search.global.K2
 
K2 - Class in weka.classifiers.bayes.net.search.local
This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.

For more information see:

G.F.
K2() - Constructor for class weka.classifiers.bayes.net.search.local.K2
 
kappa() - Method in class weka.classifiers.evaluation.Evaluation
Returns value of kappa statistic if class is nominal.
kappa() - Method in class weka.classifiers.Evaluation
Returns value of kappa statistic if class is nominal.
KBInformation() - Method in class weka.classifiers.evaluation.Evaluation
Return the total Kononenko & Bratko Information score in bits.
KBInformation() - Method in class weka.classifiers.Evaluation
Return the total Kononenko & Bratko Information score in bits.
KBMeanInformation() - Method in class weka.classifiers.evaluation.Evaluation
Return the Kononenko & Bratko Information score in bits per instance.
KBMeanInformation() - Method in class weka.classifiers.Evaluation
Return the Kononenko & Bratko Information score in bits per instance.
KBRelativeInformation() - Method in class weka.classifiers.evaluation.Evaluation
Return the Kononenko & Bratko Relative Information score.
KBRelativeInformation() - Method in class weka.classifiers.Evaluation
Return the Kononenko & Bratko Relative Information score.
KDConditionalEstimator - Class in weka.estimators
Conditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate kernel estimators for each discrete conditioning value).
KDConditionalEstimator() - Constructor for class weka.estimators.KDConditionalEstimator
No-arg constructor needed to make WEKA's forName() work.
KDConditionalEstimator(int, double) - Constructor for class weka.estimators.KDConditionalEstimator
Constructor
KDDataGenerator - Class in weka.gui.boundaryvisualizer
KDDataGenerator.
KDDataGenerator() - Constructor for class weka.gui.boundaryvisualizer.KDDataGenerator
 
KDTree - Class in weka.core.neighboursearch
Class implementing the KDTree search algorithm for nearest neighbour search.
The connection to dataset is only a reference.
KDTree() - Constructor for class weka.core.neighboursearch.KDTree
Creates a new instance of KDTree.
KDTree(Instances) - Constructor for class weka.core.neighboursearch.KDTree
Creates a new instance of KDTree.
KDTreeNode - Class in weka.core.neighboursearch.kdtrees
A class representing a KDTree node.
KDTreeNode() - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNode
Constructor.
KDTreeNode(int, int, int, double[][]) - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNode
Constructor.
KDTreeNode(int, int, int, double[][], double[][]) - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNode
 
KDTreeNodeSplitter - Class in weka.core.neighboursearch.kdtrees
Class that splits up a KDTreeNode.
KDTreeNodeSplitter() - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
default constructor.
KDTreeNodeSplitter(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Creates a new instance of KDTreeNodeSplitter.
Kernel - Class in weka.classifiers.functions.supportVector
Abstract kernel.
Kernel() - Constructor for class weka.classifiers.functions.supportVector.Kernel
 
KernelEstimator - Class in weka.estimators
Simple kernel density estimator.
KernelEstimator() - Constructor for class weka.estimators.KernelEstimator
No-arg constructor needed to make WEKA's forName() work.
KernelEstimator(double) - Constructor for class weka.estimators.KernelEstimator
Constructor that takes a precision argument.
KernelEvaluation - Class in weka.classifiers.functions.supportVector
Class for evaluating Kernels.
KernelEvaluation() - Constructor for class weka.classifiers.functions.supportVector.KernelEvaluation
default constructor
kernelFactorExpressionTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns the tip text for this property
KernelFilter - Class in weka.filters.unsupervised.attribute
Converts the given set of data into a kernel matrix.
KernelFilter() - Constructor for class weka.filters.unsupervised.attribute.KernelFilter
 
kernelMatrixFileTipText() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Returns the tip text for this property
kernelTipText() - Method in class weka.classifiers.functions.GaussianProcesses
Returns the tip text for this property
kernelTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
kernelTipText() - Method in class weka.classifiers.functions.SMOreg
Returns the tip text for this property
kernelTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns the tip text for this property
key - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
attribute value
KEY_SPEC_SEPARATOR - Static variable in class weka.knowledgeflow.steps.Join
Separator used to separate first and second input key specifications
keyFieldNameTipText() - Method in class weka.experiment.AveragingResultProducer
Returns the tip text for this property
keys() - Method in class weka.core.xml.MethodHandler
returns an enumeration over all currently stored custom methods, i.e.
keysTipText() - Method in class weka.core.converters.DatabaseLoader
the tip text for this property
KF_BUILTIN_TEMPLATE_KEY - Static variable in class weka.gui.knowledgeflow.KFGUIConsts
Group identifier for built-in knowledge flow templates
KF_PLUGIN_TEMPLATE_KEY - Static variable in class weka.gui.knowledgeflow.KFGUIConsts
Group identifier for plugin knowledge flow templates - packages supplying templates should use this
KFDefaults - Class in weka.knowledgeflow
Default settings for the Knowledge Flow
KFDefaults() - Constructor for class weka.knowledgeflow.KFDefaults
 
KFGraphicalEnvironmentCommandHandler - Class in weka.gui.knowledgeflow
Default Knowledge Flow graphical command handler
KFGraphicalEnvironmentCommandHandler(MainKFPerspective) - Constructor for class weka.gui.knowledgeflow.KFGraphicalEnvironmentCommandHandler
Constructor
KFGUIConsts - Class in weka.gui.knowledgeflow
Class that holds constants that are used within the GUI side of the Knowledge Flow.
KFGUIConsts() - Constructor for class weka.gui.knowledgeflow.KFGUIConsts
 
KFIgnore - Annotation Type in weka.gui.beans
Marker annotation.
kFoldCV(BayesNet, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
kFoldCV uses k-fold cross validation to measure the accuracy of a Bayes network classifier.
KFStep - Annotation Type in weka.gui.beans
Optional annotation for plugin beans in the Knowledge Flow.
KFStep - Annotation Type in weka.knowledgeflow.steps
KFStep class annotation
Kill - Class in weka.gui.simplecli
Kills the running process.
Kill() - Constructor for class weka.gui.simplecli.Kill
 
KKConditionalEstimator - Class in weka.estimators
Conditional probability estimator for a numeric domain conditional upon a numeric domain.
KKConditionalEstimator() - Constructor for class weka.estimators.KKConditionalEstimator
No-arg constructor needed to make WEKA's forName() work.
KKConditionalEstimator(double) - Constructor for class weka.estimators.KKConditionalEstimator
Constructor
KMEANS_PLUS_PLUS - Static variable in class weka.clusterers.SimpleKMeans
 
KMeansInpiredMethod - Class in weka.core.neighboursearch.kdtrees
The class that splits a node into two such that the overall sum of squared distances of points to their centres on both sides of the (axis-parallel) splitting plane is minimum.

For more information see also:

Ashraf Masood Kibriya (2007).
KMeansInpiredMethod() - Constructor for class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
 
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.BallTree
Returns k nearest instances in the current neighbourhood to the supplied instance.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.CoverTree
Returns k-NNs of a given target instance, from among the previously supplied training instances (supplied through setInstances method) P.S.: May return more than k-NNs if more one instances have the same distance to the target as the kth NN.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns the nearest neighbours for the given instance based on distance measured in the filtered space.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.KDTree
Returns the k nearest neighbours of the supplied instance.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.LinearNNSearch
Returns k nearest instances in the current neighbourhood to the supplied instance.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns k nearest instances in the current neighbourhood to the supplied instance.
KNNInput - Class in weka.core.pmml.jaxbbindings
Java class for KNNInput element declaration.
KNNInput() - Constructor for class weka.core.pmml.jaxbbindings.KNNInput
 
KNNInputs - Class in weka.core.pmml.jaxbbindings
Java class for KNNInputs element declaration.
KNNInputs() - Constructor for class weka.core.pmml.jaxbbindings.KNNInputs
 
KNNTipText() - Method in class weka.classifiers.lazy.IBk
Returns the tip text for this property.
KNNTipText() - Method in class weka.classifiers.lazy.LWL
Returns the tip text for this property.
KnowledgeFlow - Class in weka.gui.beans
Startup class for the KnowledgeFlow.
KnowledgeFlow() - Constructor for class weka.gui.beans.KnowledgeFlow
 
KnowledgeFlow - Class in weka.gui.knowledgeflow
Launcher class for the Weka Knowledge Flow.
KnowledgeFlow() - Constructor for class weka.gui.knowledgeflow.KnowledgeFlow
 
KnowledgeFlowApp - Class in weka.gui.beans
Main GUI class for the KnowledgeFlow.
KnowledgeFlowApp(boolean) - Constructor for class weka.gui.beans.KnowledgeFlowApp
Creates a new KnowledgeFlowApp instance.
KnowledgeFlowApp - Class in weka.gui.knowledgeflow
Main Knowledge Flow application class
KnowledgeFlowApp() - Constructor for class weka.gui.knowledgeflow.KnowledgeFlowApp
Constructor
KnowledgeFlowApp(boolean) - Constructor for class weka.gui.knowledgeflow.KnowledgeFlowApp
Constructor
KnowledgeFlowApp.KFPerspective - Interface in weka.gui.beans
Interface for perspectives.
KnowledgeFlowApp.KnowledgeFlowGeneralDefaults - Class in weka.gui.knowledgeflow
General default settings for the Knowledge Flow
KnowledgeFlowApp.MainKFPerspective - Class in weka.gui.beans
Main Knowledge Flow perspective
KnowledgeFlowGeneralDefaults() - Constructor for class weka.gui.knowledgeflow.KnowledgeFlowApp.KnowledgeFlowGeneralDefaults
 
KohonenMap - Class in weka.core.pmml.jaxbbindings
Java class for KohonenMap element declaration.
KohonenMap() - Constructor for class weka.core.pmml.jaxbbindings.KohonenMap
 
KOML - Class in weka.core.xml
This class is a helper class for XML serialization using KOML .
KOML() - Constructor for class weka.core.xml.KOML
 
komlToBinary(String, String) - Static method in class weka.core.xml.SerialUIDChanger
converts a KOML file into a binary one
KOMLV - Static variable in class weka.gui.beans.SerializedModelSaver
 
KStar - Class in weka.classifiers.lazy
K* is an instance-based classifier, that is the class of a test instance is based upon the class of those training instances similar to it, as determined by some similarity function.
KStar() - Constructor for class weka.classifiers.lazy.KStar
 
KStarCache - Class in weka.classifiers.lazy.kstar
A class representing the caching system used to keep track of each attribute value and its corresponding scale factor or stop parameter.
KStarCache() - Constructor for class weka.classifiers.lazy.kstar.KStarCache
 
KStarCache.CacheTable - Class in weka.classifiers.lazy.kstar
A custom hashtable class to support the caching system.
KStarCache.TableEntry - Class in weka.classifiers.lazy.kstar
Hashtable collision list.
KStarConstants - Interface in weka.classifiers.lazy.kstar
 
KStarNominalAttribute - Class in weka.classifiers.lazy.kstar
A custom class which provides the environment for computing the transformation probability of a specified test instance nominal attribute to a specified train instance nominal attribute.
KStarNominalAttribute(Instance, Instance, int, Instances, int[][], KStarCache) - Constructor for class weka.classifiers.lazy.kstar.KStarNominalAttribute
Constructor
KStarNumericAttribute - Class in weka.classifiers.lazy.kstar
A custom class which provides the environment for computing the transformation probability of a specified test instance numeric attribute to a specified train instance numeric attribute.
KStarNumericAttribute(Instance, Instance, int, Instances, int[][], KStarCache) - Constructor for class weka.classifiers.lazy.kstar.KStarNumericAttribute
Constructor
KStarWrapper - Class in weka.classifiers.lazy.kstar
 
KStarWrapper() - Constructor for class weka.classifiers.lazy.kstar.KStarWrapper
 
kthSmallestValue(Attribute, int) - Method in class weka.core.Instances
Returns the kth-smallest attribute value of a numeric attribute.
kthSmallestValue(int, int) - Method in class weka.core.Instances
Returns the kth-smallest attribute value of a numeric attribute.
kthSmallestValue(int[], int) - Static method in class weka.core.Utils
Returns the kth-smallest value in the array.
kthSmallestValue(double[], int) - Static method in class weka.core.Utils
Returns the kth-smallest value in the array
KValueTipText() - Method in class weka.classifiers.trees.RandomTree
Returns the tip text for this property

L

LabeledItemSet - Class in weka.associations
Class for storing a set of items together with a class label.
LabeledItemSet(int, int) - Constructor for class weka.associations.LabeledItemSet
Constructor
LABELS - Static variable in class weka.core.json.JSONInstances
the labels attribute.
labelsTipText() - Method in class weka.filters.unsupervised.attribute.AddValues
Returns the tip text for this property
labelTipText() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Returns the tip text for this property.
LAF - Static variable in class weka.gui.knowledgeflow.KnowledgeFlowApp.KnowledgeFlowGeneralDefaults
 
LAF - Static variable in class weka.knowledgeflow.KFDefaults
 
LAF_KEY - Static variable in class weka.gui.knowledgeflow.KnowledgeFlowApp.KnowledgeFlowGeneralDefaults
 
LAGDHillClimber - Class in weka.classifiers.bayes.net.search.local
This Bayes Network learning algorithm uses a Look Ahead Hill Climbing algorithm called LAGD Hill Climbing.
LAGDHillClimber() - Constructor for class weka.classifiers.bayes.net.search.local.LAGDHillClimber
 
lambdaTipText() - Method in class weka.classifiers.functions.SGD
Returns the tip text for this property
lambdaTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
lambdaTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the tip text for this property
laplaceProb(int) - Method in class weka.classifiers.trees.j48.Distribution
Returns relative frequency of class over all bags with Laplace correction.
laplaceProb(int, int) - Method in class weka.classifiers.trees.j48.Distribution
Returns relative frequency of class for given bag.
last() - Method in class weka.core.neighboursearch.covertrees.Stack
Returns the last element in the stack.
LAST - Static variable in class weka.filters.unsupervised.attribute.ClassAssigner
use the last attribute as class.
lastActionMsg() - Method in class weka.classifiers.bayes.net.EditableBayesNet
get message representing the last action performed on the network
lastElement() - Method in class weka.core.FastVector
Deprecated.
Returns the last element of the vector.
lastElement() - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Returns the last component of the list.
lastIndexOf(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Returns the index of the last occurrence of elem.
lastIndexOf(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Searches backwards for elem, starting from the specified index, and returns an index to it.
lastInstance() - Method in class weka.core.Instances
Returns the last instance in the set.
launch() - Method in interface weka.gui.explorer.ClassifierPanelLaunchHandlerPlugin
Gets called when the user clicks the button or selects this plugin's entry from the popup menu.
launch() - Method in interface weka.gui.explorer.ClustererPanelLaunchHandlerPlugin
Gets called when the user clicks the button or selects this plugin's entry from the popup menu.
launchNext(int, int) - Method in class weka.experiment.RemoteExperiment
Launch a sub experiment on a remote host
LAYOUT_COLOR - Static variable in class weka.knowledgeflow.KFDefaults
 
LAYOUT_COLOR_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
LAYOUT_HEIGHT - Static variable in class weka.knowledgeflow.KFDefaults
 
LAYOUT_HEIGHT_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
LAYOUT_WIDTH - Static variable in class weka.knowledgeflow.KFDefaults
 
LAYOUT_WIDTH_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
layoutCompleted(LayoutCompleteEvent) - Method in class weka.classifiers.bayes.net.GUI
This method is an implementation for LayoutCompleteEventListener class.
layoutCompleted(LayoutCompleteEvent) - Method in class weka.gui.graphvisualizer.GraphVisualizer
This method is an implementation for LayoutCompleteEventListener class.
layoutCompleted(LayoutCompleteEvent) - Method in interface weka.gui.graphvisualizer.LayoutCompleteEventListener
 
LayoutCompleteEvent - Class in weka.gui.graphvisualizer
This is an event which is fired by a LayoutEngine once a LayoutEngine finishes laying out the graph, so that the Visualizer can repaint the screen to show the changes.
LayoutCompleteEvent(Object) - Constructor for class weka.gui.graphvisualizer.LayoutCompleteEvent
 
LayoutCompleteEventListener - Interface in weka.gui.graphvisualizer
This interface should be implemented by any class which needs to receive LayoutCompleteEvents from the LayoutEngine.
layoutEditor() - Method in class weka.gui.knowledgeflow.steps.BlockStepEditorDialog
Layout the component
layoutEditor() - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterStepEditorDialog
Layout the editor
layoutEditor() - Method in class weka.gui.knowledgeflow.steps.JobStepEditorDialog
Layout the custom part of the editor
layoutEditor() - Method in class weka.gui.knowledgeflow.steps.NoteEditorDialog
Layout the note editor
LayoutEngine - Interface in weka.gui.graphvisualizer
This interface class has been added to facilitate the addition of other layout engines to this package.
layoutGraph(ArrayList<Integer>, ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
set positions of all nodes
layoutGraph() - Method in class weka.gui.graphvisualizer.GraphVisualizer
This method lays out the graph by calling the LayoutEngine's layoutGraph() method.
layoutGraph() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
This method does a complete layout of the graph which includes removing cycles, assigning levels to nodes, reducing edge crossings and laying out the vertices horizontally for better visibility.
layoutGraph() - Method in interface weka.gui.graphvisualizer.LayoutEngine
This method lays out the graph for better visualization
LayoutPanel - Class in weka.gui.knowledgeflow
Provides a panel just for laying out a Knowledge Flow graph.
LayoutPanel(VisibleLayout) - Constructor for class weka.gui.knowledgeflow.LayoutPanel
Constructor
lbl - Variable in class weka.gui.graphvisualizer.GraphNode
ID and label for the node
LCURLY - Static variable in interface weka.core.json.sym
 
LE - Static variable in interface weka.core.expressionlanguage.parser.sym
 
LEAF_MAJ_CLASS - Static variable in class weka.classifiers.trees.HoeffdingTree
 
LEAF_NB - Static variable in class weka.classifiers.trees.HoeffdingTree
 
LEAF_NB_ADAPTIVE - Static variable in class weka.classifiers.trees.HoeffdingTree
 
leafForInstance(Instance, SplitNode, String) - Method in class weka.classifiers.trees.ht.HNode
Return the leaf that the supplied instance ends up at
leafForInstance(Instance, SplitNode, String) - Method in class weka.classifiers.trees.ht.SplitNode
 
LeafNode - Class in weka.classifiers.trees.ht
Leaf node in a HoeffdingTree
LeafNode() - Constructor for class weka.classifiers.trees.ht.LeafNode
Construct an empty leaf node
LeafNode(HNode, SplitNode, String) - Constructor for class weka.classifiers.trees.ht.LeafNode
Construct a leaf node with the given actual node, parent and parent branch
leafPredictionStrategyTipText() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the tip text for this property
LearningNode - Interface in weka.classifiers.trees.ht
Marker interface for a node that can be updated with incoming instances in a HoeffdingTree.
LearningRateResultProducer - Class in weka.experiment
Tells a sub-ResultProducer to reproduce the current run for varying sized subsamples of the dataset.
LearningRateResultProducer() - Constructor for class weka.experiment.LearningRateResultProducer
 
learningRateTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
learningRateTipText() - Method in class weka.classifiers.functions.SGD
Returns the tip text for this property
learningRateTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
leaveOneAttributeOutTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
Tip text for this property
leaveOneOutCV(BayesNet) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
LeaveOneOutCV returns the accuracy calculated using Leave One Out cross validation.
LED24 - Class in weka.datagenerators.classifiers.classification
This generator produces data for a display with 7 LEDs.
LED24() - Constructor for class weka.datagenerators.classifiers.classification.LED24
initializes the generator with default values
LEFT_PARENTHESES - Variable in class weka.experiment.ResultMatrix
the left parentheses for enumerating cols/rows.
leftNode() - Method in class weka.classifiers.trees.m5.RuleNode
Get the left child of this node
leftSide(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
Prints left side of condition.
leftSide(Instances) - Method in class weka.classifiers.trees.j48.C45Split
Prints left side of condition..
leftSide(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Prints left side of condition satisfied by instances.
leftSide(Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Does nothing because no condition has to be satisfied.
leftSide(Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
Prints left side of condition..
leftSide(Instances) - Method in class weka.classifiers.trees.j48.NoSplit
Does nothing because no condition has to be satisfied.
leftSide(Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
Returns name of splitting attribute (left side of condition).
LegacyFlowLoader - Class in weka.knowledgeflow
Flow loader that reads legacy .kfml files and translates them to the new implementation.
LegacyFlowLoader() - Constructor for class weka.knowledgeflow.LegacyFlowLoader
Constructor
LegendPanel - Class in weka.gui.visualize
This panel displays legends for a list of plots.
LegendPanel() - Constructor for class weka.gui.visualize.LegendPanel
Constructor
length - Variable in class weka.core.neighboursearch.covertrees.Stack
The number of elements in the stack.
lessEqual(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'<=' less equal operator
lessThan(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'<' less than operator
Level - Class in weka.core.pmml.jaxbbindings
Java class for Level element declaration.
Level() - Constructor for class weka.core.pmml.jaxbbindings.Level
 
leverageForRule(AprioriItemSet, AprioriItemSet, int, int) - Method in class weka.associations.AprioriItemSet
Outputs the leverage for a rule.
LibSVMLoader - Class in weka.core.converters
Reads a source that is in libsvm format.

For more information about libsvm see:

http://www.csie.ntu.edu.tw/~cjlin/libsvm/

LibSVMLoader() - Constructor for class weka.core.converters.LibSVMLoader
 
LibSVMSaver - Class in weka.core.converters
Writes to a destination that is in libsvm format.

For more information about libsvm see:

http://www.csie.ntu.edu.tw/~cjlin/libsvm/

Valid options are:

LibSVMSaver() - Constructor for class weka.core.converters.LibSVMSaver
Constructor
LIFT_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: Lift
LiftData - Class in weka.core.pmml.jaxbbindings
Java class for LiftData element declaration.
LiftData() - Constructor for class weka.core.pmml.jaxbbindings.LiftData
 
liftForRule(AprioriItemSet, AprioriItemSet, int) - Method in class weka.associations.AprioriItemSet
Outputs the lift for a rule.
LiftGraph - Class in weka.core.pmml.jaxbbindings
Java class for LiftGraph element declaration.
LiftGraph() - Constructor for class weka.core.pmml.jaxbbindings.LiftGraph
 
likelihoodThresholdTipText() - Method in class weka.classifiers.meta.LogitBoost
Returns the tip text for this property
LINE - Static variable in class weka.gui.visualize.VisualizePanelEvent
 
LINEAR - Static variable in class weka.classifiers.lazy.LWL
The available kernel weighting methods.
LinearKernelType - Class in weka.core.pmml.jaxbbindings
Java class for LinearKernelType element declaration.
LinearKernelType() - Constructor for class weka.core.pmml.jaxbbindings.LinearKernelType
 
LinearNNSearch - Class in weka.core.neighboursearch
Class implementing the brute force search algorithm for nearest neighbour search.
LinearNNSearch() - Constructor for class weka.core.neighboursearch.LinearNNSearch
Constructor.
LinearNNSearch(Instances) - Constructor for class weka.core.neighboursearch.LinearNNSearch
Constructor that uses the supplied set of instances.
LinearNorm - Class in weka.core.pmml.jaxbbindings
Java class for LinearNorm element declaration.
LinearNorm() - Constructor for class weka.core.pmml.jaxbbindings.LinearNorm
 
LinearRegression - Class in weka.classifiers.functions
Class for using linear regression for prediction.
LinearRegression() - Constructor for class weka.classifiers.functions.LinearRegression
 
LinearRegression - Class in weka.core.matrix
Class for performing (ridged) linear regression using Tikhonov regularization.
LinearRegression(Matrix, Matrix, double) - Constructor for class weka.core.matrix.LinearRegression
Performs a (ridged) linear regression.
LinearRegression(Matrix, Matrix, double[], double) - Constructor for class weka.core.matrix.LinearRegression
Performs a weighted (ridged) linear regression.
LinearUnit - Class in weka.classifiers.functions.neural
This can be used by the neuralnode to perform all it's computations (as a Linear unit).
LinearUnit() - Constructor for class weka.classifiers.functions.neural.LinearUnit
 
lineWrap(String, int) - Static method in class weka.core.Utils
Implements simple line breaking.
Link2(Object[], double) - Constructor for class weka.attributeSelection.BestFirst.Link2
Constructor
LinkedList2(int) - Constructor for class weka.attributeSelection.BestFirst.LinkedList2
 
LINKFUNCTION - Enum in weka.core.pmml.jaxbbindings
Java class for LINK-FUNCTION.
linkTypeTipText() - Method in class weka.clusterers.HierarchicalClusterer
 
LINUX_BROWSERS - Static variable in class weka.gui.BrowserHelper
Linux/Unix binaries to look for
listCapabilities() - Method in class weka.core.Capabilities
returns a comma-separated list of all the capabilities, excluding interface-based ones.
listCapabilities(Capabilities) - Static method in class weka.core.CapabilitiesUtils
returns a comma-separated list of all the capabilities, excluding interface-based ones.
listMetaStoreEntries(String) - Method in interface weka.core.metastore.MetaStore
Get a list of all entries in a named store
listMetaStoreEntries(String, String) - Method in interface weka.core.metastore.MetaStore
Get a list of all named entries starting with the given prefix
listMetaStoreEntries(String) - Method in class weka.core.metastore.XMLFileBasedMetaStore
 
listMetaStoreEntries(String, String) - Method in class weka.core.metastore.XMLFileBasedMetaStore
 
listMetaStores() - Method in interface weka.core.metastore.MetaStore
Get a list of all named meta stores
listMetaStores() - Method in class weka.core.metastore.XMLFileBasedMetaStore
 
listOptions() - Method in class weka.associations.AbstractAssociator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.Apriori
Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.CheckAssociator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.FilteredAssociator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.FPGrowth
Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.SingleAssociatorEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.ASEvaluation
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.ASSearch
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.BestFirst
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.CfsSubsetEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.CheckAttributeSelection
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.CorrelationAttributeEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.GainRatioAttributeEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.GreedyStepwise
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.InfoGainAttributeEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.OneRAttributeEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.PrincipalComponents
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.Ranker
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.AbstractClassifier
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.BayesNet
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.NaiveBayes
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.K2
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.TAN
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.K2
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.TAN
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.BVDecompose
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.BVDecomposeSegCVSub
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.CheckClassifier
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.CheckSource
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns an enumeration of all the available options..
listOptions() - Method in class weka.classifiers.evaluation.output.prediction.CSV
Returns an enumeration of all the available options..
listOptions() - Method in class weka.classifiers.functions.GaussianProcesses
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.LinearRegression
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.Logistic
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.functions.MultilayerPerceptron
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SGD
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SGDText
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SimpleLogistic
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SMO
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SMOreg
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.CachedKernel
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.CheckKernel
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.Kernel
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.Puk
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Gets an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.RegSMO
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.VotedPerceptron
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.lazy.IBk
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.lazy.KStar
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.lazy.LWL
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.AdaBoostM1
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.AdditiveRegression
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.Bagging
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.CVParameterSelection
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.FilteredClassifier
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.LogitBoost
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.MultiClassClassifier
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.meta.MultiScheme
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.RandomSubSpace
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.Stacking
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.Vote
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.misc.SerializedClassifier
Gets an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.MultipleClassifiersCombiner
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableClassifier
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.rules.DecisionTable
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.rules.JRip
Returns an enumeration describing the available options Valid options are:
listOptions() - Method in class weka.classifiers.rules.OneR
Returns an enumeration describing the available options..
listOptions() - Method in class weka.classifiers.rules.PART
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.SingleClassifierEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.HoeffdingTree
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.J48
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.LMT
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.m5.M5Base
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.trees.M5P
Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.trees.RandomForest
Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.RandomTree
Lists the command-line options for this classifier.
listOptions() - Method in class weka.classifiers.trees.REPTree
Lists the command-line options for this classifier.
listOptions() - Method in class weka.clusterers.AbstractClusterer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.Canopy
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.CheckClusterer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.Cobweb
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.EM
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.FarthestFirst
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.FilteredClusterer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.HierarchicalClusterer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns an enumeration describing the available options..
listOptions() - Method in class weka.clusterers.RandomizableClusterer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.SimpleKMeans
Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.SingleClustererEnhancer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.Check
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.CheckGOE
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.CheckOptionHandler
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.CheckScheme
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.AbstractFileSaver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.ArffSaver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.C45Saver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.CSVLoader
 
listOptions() - Method in class weka.core.converters.CSVSaver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.DatabaseLoader
Lists the available options
listOptions() - Method in class weka.core.converters.DatabaseSaver
Lists the available options.
listOptions() - Method in class weka.core.converters.JSONSaver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.LibSVMSaver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.MatlabSaver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.SVMLightSaver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.TextDirectoryLoader
Lists the available options
listOptions() - Method in class weka.core.converters.XRFFSaver
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.DictionaryBuilder
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.FilteredDistance
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.FindWithCapabilities
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.Javadoc
Returns an enumeration describing the available options.
ListOptions - Class in weka.core
Lists the options of an OptionHandler
ListOptions() - Constructor for class weka.core.ListOptions
 
listOptions() - Method in class weka.core.ListOptions
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.MinkowskiDistance
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.BallTree
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.BallSplitter
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.CoverTree
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.KDTree
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.LinearNNSearch
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.NormalizableDistance
Returns an enumeration describing the available options.
listOptions() - Method in interface weka.core.OptionHandler
Returns an enumeration of all the available options..
listOptions() - Method in class weka.core.OptionHandlerJavadoc
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.stemmers.SnowballStemmer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.stopwords.AbstractStopwords
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.stopwords.MultiStopwords
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.TechnicalInformationHandlerJavadoc
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.TestInstances
Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
Returns an enumeration of all the available options..
listOptions() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Returns an enumeration of all the available options..
listOptions() - Method in class weka.core.tokenizers.NGramTokenizer
Returns an enumeration of all the available options..
listOptions() - Method in class weka.core.tokenizers.Tokenizer
Returns an enumeration of all the available options..
listOptions() - Method in class weka.datagenerators.ClassificationGenerator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.LED24
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.regression.Expression
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.ClusterGenerator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.DataGenerator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.RegressionGenerator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.estimators.CheckEstimator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.estimators.Estimator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns an enumeration that lists the command-line options that are available
listOptions() - Method in class weka.experiment.AveragingResultProducer
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.ClassifierSplitEvaluator
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.CrossValidationResultProducer
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.CSVResultListener
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.DatabaseResultProducer
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.experiment.Experiment
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.InstanceQuery
Returns an enumeration describing the available options
listOptions() - Method in class weka.experiment.LearningRateResultProducer
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.PairedTTester
Lists options understood by this object.
listOptions() - Method in class weka.experiment.RandomSplitResultProducer
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.RegressionSplitEvaluator
Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.ResultMatrix
Returns an enumeration of all the available options..
listOptions() - Method in class weka.filters.CheckSource
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.Filter
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.MultiFilter
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.AddClassification
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.AttributeSelection
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.ClassOrder
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.Discretize
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.NominalToBinary
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.PartitionMembership
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.instance.Resample
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Gets an enumeration describing the available options..
listOptions() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Add
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddCluster
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddExpression
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddID
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddNoise
Returns an enumeration describing the available options
listOptions() - Method in class weka.filters.unsupervised.attribute.AddUserFields
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddValues
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Returns an enumeration describing the available options
listOptions() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Copy
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Discretize
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.FirstOrder
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MathExpression
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NominalToString
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Normalize
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NumericToDate
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Remove
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RemoveByName
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RemoveType
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
 
listOptions() - Method in class weka.filters.unsupervised.attribute.Reorder
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
 
listOptions() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.SortLabels
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.StringToNominal
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.SwapValues
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.Randomize
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Gets an enumeration describing the available options..
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Gets an enumeration describing the available options..
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveRange
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.Resample
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Returns an enumeration describing the available options.
listOptions() - Method in class weka.gui.explorer.AbstractPlotInstances
Returns an enumeration of all the available options.
listOptions() - Method in class weka.gui.Main
Gets an enumeration describing the available options.
listOptions() - Method in class weka.gui.scripting.Script
Returns an enumeration describing the available options.
listOptionsForClass(Class<?>) - Static method in class weka.core.Option
Gets a list of options for the supplied class.
listOptionsForClassHierarchy(Class<?>, Class<?>) - Static method in class weka.core.Option
Get a list of options for a class.
ListSelectorDialog - Class in weka.gui
A dialog to present the user with a list of items, that the user can make a selection from, or cancel the selection.
ListSelectorDialog(Window, JList) - Constructor for class weka.gui.ListSelectorDialog
Create the list selection dialog.
listStemmers() - Static method in class weka.core.stemmers.SnowballStemmer
returns an enumeration over all currently stored stemmer names.
LMT - Class in weka.classifiers.trees
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves.
LMT() - Constructor for class weka.classifiers.trees.LMT
Creates an instance of LMT with standard options
LMTNode - Class in weka.classifiers.trees.lmt
Class for logistic model tree structure.
LMTNode(ModelSelection, int, boolean, boolean, int, double, boolean, NominalToBinary, int) - Constructor for class weka.classifiers.trees.lmt.LMTNode
Constructor for logistic model tree node.
lnFactorial(double) - Static method in class weka.core.SpecialFunctions
Returns natural logarithm of factorial using gamma function.
lnFunc(double) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
Help method for computing entropy.
lnFunc(double) - Static method in class weka.core.ContingencyTables
Help method for computing entropy.
lnGamma(double) - Static method in class weka.core.Statistics
Returns natural logarithm of gamma function.
LNormTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property
LNormTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
lnsrch(double[], double[], double[], double, boolean[], double[][], Optimization.DynamicIntArray) - Method in class weka.core.Optimization
Find a new point x in the direction p from a point xold at which the value of the function has decreased sufficiently, the positive definiteness of B matrix (approximation of the inverse of the Hessian) is preserved and no bound constraints are violated.
load(InputStream) - Method in class weka.core.ProtectedProperties
Overrides a method to prevent the properties from being modified.
load(String) - Method in class weka.gui.beans.FlowRunner
Load a serialized KnowledgeFlow (either binary or xml)
load(File) - Static method in class weka.gui.scripting.ScriptUtils
Tries to load the file and return its content.
loadBinary(String) - Method in class weka.gui.beans.FlowRunner
Load a binary serialized KnowledgeFlow
loadCheck(Package, File, PrintStream...) - Static method in class weka.core.WekaPackageManager
Check whether a package should be loaded or not.
loadDictionary(String, boolean) - Method in class weka.core.DictionaryBuilder
Load a dictionary from a file
loadDictionary(File, boolean) - Method in class weka.core.DictionaryBuilder
Load a dictionary from a file
loadDictionary(Reader) - Method in class weka.core.DictionaryBuilder
Load a textual dictionary from a reader
loadDictionary(InputStream) - Method in class weka.core.DictionaryBuilder
Load a binary dictionary from an input stream
Loader - Interface in weka.core.converters
Interface to something that can load Instances from an input source in some format.
Loader - Class in weka.gui.beans
Loads data sets using weka.core.converter classes
Loader() - Constructor for class weka.gui.beans.Loader
 
Loader - Class in weka.gui
This class is for loading resources from a JAR archive.
Loader(String) - Constructor for class weka.gui.Loader
initializes the object
LOADER - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
Loader - Class in weka.knowledgeflow.steps
Knowledge Flow step that wraps weka.core.converters.Loaders.
Loader() - Constructor for class weka.knowledgeflow.steps.Loader
 
Loader.StructureNotReadyException - Exception in weka.core.converters
Exception that implementers can throw from getStructure() when they have not been configured sufficiently in order to read the structure (or data).
LOADER_DIALOG - Static variable in class weka.gui.ConverterFileChooser
the loader dialog.
LoaderBeanInfo - Class in weka.gui.beans
Bean info class for the loader bean
LoaderBeanInfo() - Constructor for class weka.gui.beans.LoaderBeanInfo
 
LoaderCustomizer - Class in weka.gui.beans
GUI Customizer for the loader bean
LoaderCustomizer() - Constructor for class weka.gui.beans.LoaderCustomizer
 
LoaderStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Provides a custom editor dialog for Loaders.
LoaderStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.LoaderStepEditorDialog
Constructor
loadFile(String, AbstractFileLoader...) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
loads the specified file
loadFile() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
loads the specified file into the table
loadFlow(File, Logger) - Static method in class weka.knowledgeflow.Flow
Utility method to load a flow from a file
loadFlow(InputStream, FlowLoader) - Static method in class weka.knowledgeflow.Flow
Utility method to load a flow from the supplied input stream using the supplied FlowLoader
loadFlow(Reader, FlowLoader) - Static method in class weka.knowledgeflow.Flow
Utility method to load a flow from the supplied reader using the supplied FlowLoader
loadFromFile(String) - Static method in class weka.core.Debug
deserializes the content of the file and returns it, null if an error occurred.
loadIcon(String) - Static method in class weka.gui.knowledgeflow.StepVisual
Load an icon from the supplied path
loadIcon(ClassLoader, String) - Static method in class weka.gui.knowledgeflow.StepVisual
Load an icon from the supplied path
loadIcons(String, String) - Method in class weka.gui.beans.BeanVisual
Loads static and animated versions of a beans icons.
loadLayout(File, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp
Load a layout from a file.
loadLayout(InputStream, boolean, String) - Method in class weka.gui.beans.KnowledgeFlowApp
Load a flow file from an input stream.
loadLayout(Reader, boolean, String) - Method in class weka.gui.beans.KnowledgeFlowApp
Load a flow file from a reader.
loadLayout() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Load a flow layout.
loadLayout(File, boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Load a flow layout.
loadModel() - Method in class weka.gui.beans.Classifier
 
loadModel() - Method in class weka.gui.beans.Clusterer
 
loadPackages(boolean) - Static method in class weka.core.WekaPackageManager
Load all packages
loadPackages(boolean, boolean, boolean) - Static method in class weka.core.WekaPackageManager
Load all packages
loadProperties() - Static method in class weka.gui.beans.BeansProperties
Loads KnowledgeFlow properties and any plugins (adds jars to the classpath)
loadProperties() - Static method in class weka.gui.beans.KnowledgeFlowApp
Loads KnowledgeFlow properties and any plugins (adds jars to the classpath)
loadSettings() - Method in class weka.core.Settings
Load the settings with ID m_ID from store m_storeName.
loadXML(String) - Method in class weka.gui.beans.FlowRunner
Load an XML serialized KnowledgeFlow
locallyPredictiveTipText() - Method in class weka.attributeSelection.CfsSubsetEval
Returns the tip text for this property
LocalScoreSearchAlgorithm - Class in weka.classifiers.bayes.net.search.local
The ScoreBasedSearchAlgorithm class supports Bayes net structure search algorithms that are based on maximizing scores (as opposed to for example conditional independence based search algorithms).
LocalScoreSearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
default constructor
LocalScoreSearchAlgorithm(BayesNet, Instances) - Constructor for class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
constructor
LocalTransformations - Class in weka.core.pmml.jaxbbindings
Java class for LocalTransformations element declaration.
LocalTransformations() - Constructor for class weka.core.pmml.jaxbbindings.LocalTransformations
 
locateIndex(int) - Method in class weka.core.pmml.SparseArray
Locates the greatest index that is not greater than the given index.
locateIndex(int) - Method in class weka.core.SparseInstance
Locates the greatest index that is not greater than the given index.
log(String) - Method in class weka.core.Debug
prints the given message with level INFO
log(Level, String) - Method in class weka.core.Debug
prints the given message with the specified level and an empty sourceclass
log(Level, String, String) - Method in class weka.core.Debug
prints the given message with the specified level
log(Level, String, String, String) - Method in class weka.core.Debug
prints the given message with the specified level
Log() - Constructor for class weka.core.Debug.Log
default constructor, uses only stdout
Log(String) - Constructor for class weka.core.Debug.Log
creates a logger that logs into the specified file, if null then only stdout is used.
Log(String, int, int) - Constructor for class weka.core.Debug.Log
creates a logger that logs into the specified file, if null then only stdout is used.
log(Level, String) - Method in class weka.core.Debug.Log
logs the given message
log(Level, String, String) - Method in class weka.core.Debug.Log
prints the given message with the specified level
log(Level, String, String, String) - Method in class weka.core.Debug.Log
prints the given message with the specified level
log(String) - Method in class weka.core.Debug.SimpleLog
logs the given message to the file
log(Logger.Level, String) - Static method in class weka.core.logging.Logger
Logs the given message under the given level.
log(Logger.Level, Throwable) - Static method in class weka.core.logging.Logger
Logs the given message under the given level.
log(String, LoggingLevel) - Method in class weka.knowledgeflow.LogManager
Log a message at the supplied level
log(String, LoggingLevel) - Method in interface weka.knowledgeflow.StepManager
Write a message to the log at the given logging level
log(String, LoggingLevel) - Method in class weka.knowledgeflow.StepManagerImpl
Log a message at the supplied logging level
LOG2 - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
log2 - Static variable in class weka.core.ContingencyTables
The natural logarithm of 2
log2 - Static variable in class weka.core.Utils
The natural logarithm of 2.
log2(double) - Static method in class weka.core.Utils
Returns the logarithm of a for base 2.
log2Binomial(double, double) - Static method in class weka.core.SpecialFunctions
Returns base 2 logarithm of binomial coefficient using gamma function.
log2Multinomial(double, double[]) - Static method in class weka.core.SpecialFunctions
Returns base 2 logarithm of multinomial using gamma function.
log2MultipleHypergeometric(double[][]) - Static method in class weka.core.ContingencyTables
Returns negative base 2 logarithm of multiple hypergeometric probability for a contingency table.
Log2PI - Static variable in class weka.estimators.MultivariateGaussianEstimator
Log of twice the number pi: log(2*pi).
logBasic(String) - Method in class weka.knowledgeflow.LogManager
Log at the basic level
logBasic(String) - Method in interface weka.knowledgeflow.StepManager
Log a message at the "basic" level
logBasic(String) - Method in class weka.knowledgeflow.StepManagerImpl
Log a message at the basic logging level
logDebug(String) - Method in class weka.knowledgeflow.LogManager
Log at the debugging level
logDebug(String) - Method in interface weka.knowledgeflow.StepManager
Log a message at the "debug" level
logDebug(String) - Method in class weka.knowledgeflow.StepManagerImpl
Log a message at the debugging logging level
logDensity(Instance, double) - Method in interface weka.classifiers.ConditionalDensityEstimator
Returns natural logarithm of density estimate for given value based on given instance.
logDensity(Instance, double) - Method in class weka.classifiers.functions.GaussianProcesses
Returns natural logarithm of density estimate for given value based on given instance.
logDensity(Instance, double) - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns natural logarithm of density estimate for given value based on given instance.
logDensity(double[]) - Method in interface weka.estimators.MultivariateEstimator
Returns the natural logarithm of the density estimate at the given point.
logDensity(double[]) - Method in class weka.estimators.MultivariateGaussianEstimator
Returns the log of the density value for the given vector.
logDensity(double) - Method in interface weka.estimators.UnivariateDensityEstimator
Returns the natural logarithm of the density estimate at the given point.
logDensity(double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Returns the natural logarithm of the density estimate at the given point.
logDensity(double) - Method in class weka.estimators.UnivariateKernelEstimator
Returns the natural logarithm of the density estimate at the given point.
logDensity(double) - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the natural logarithm of the density estimate at the given point.
logDensity(double) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
Computes log of density for given value.
logDensity(double) - Method in class weka.estimators.UnivariateNormalEstimator
Returns the natural logarithm of the density estimate at the given point.
logDensityForInstance(Instance) - Method in class weka.clusterers.AbstractDensityBasedClusterer
Computes the density for a given instance.
logDensityForInstance(Instance) - Method in interface weka.clusterers.DensityBasedClusterer
Computes the density for a given instance.
logDensityPerClusterForInstance(Instance) - Method in class weka.clusterers.AbstractDensityBasedClusterer
Computes the log of the conditional density (per cluster) for a given instance.
logDensityPerClusterForInstance(Instance) - Method in interface weka.clusterers.DensityBasedClusterer
Computes the log of the conditional density (per cluster) for a given instance.
logDensityPerClusterForInstance(Instance) - Method in class weka.clusterers.EM
Computes the log of the conditional density (per cluster) for a given instance.
logDensityPerClusterForInstance(Instance) - Method in class weka.clusterers.MakeDensityBasedClusterer
Computes the log of the conditional density (per cluster) for a given instance.
logDetailed(String) - Method in class weka.knowledgeflow.LogManager
Log at the detailed level
logDetailed(String) - Method in interface weka.knowledgeflow.StepManager
Log a message at the "detailed" level
logDetailed(String) - Method in class weka.knowledgeflow.StepManagerImpl
Log a message at the detailed logging level
logError(String, Exception) - Method in class weka.knowledgeflow.LogManager
Log an error
logError(String, Throwable) - Method in interface weka.knowledgeflow.StepManager
Log an error message.
logError(String, Throwable) - Method in class weka.knowledgeflow.StepManagerImpl
Log an error
Logger - Class in weka.core.logging
Abstract superclass for all loggers.
Logger() - Constructor for class weka.core.logging.Logger
Initializes the logger.
Logger - Interface in weka.gui
Interface for objects that display log (permanent historical) and status (transient) messages.
Logger.Level - Enum in weka.core.logging
The logging level.
LOGGING_LEVEL - Static variable in class weka.knowledgeflow.KFDefaults
 
LOGGING_LEVEL_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
LoggingLevel - Enum in weka.knowledgeflow
Enum for different logging levels
LogHandler - Interface in weka.core
Interface to something that can output messages to a log
Logistic - Class in weka.classifiers.functions
Class for building and using a multinomial logistic regression model with a ridge estimator.

There are some modifications, however, compared to the paper of leCessie and van Houwelingen(1992):

If there are k classes for n instances with m attributes, the parameter matrix B to be calculated will be an m*(k-1) matrix.

The probability for class j with the exception of the last class is

Pj(Xi) = exp(XiBj)/((sum[j=1..(k-1)]exp(Xi*Bj))+1)

The last class has probability

1-(sum[j=1..(k-1)]Pj(Xi))
= 1/((sum[j=1..(k-1)]exp(Xi*Bj))+1)

The (negative) multinomial log-likelihood is thus:

L = -sum[i=1..n]{
sum[j=1..(k-1)](Yij * ln(Pj(Xi)))
+(1 - (sum[j=1..(k-1)]Yij))
* ln(1 - sum[j=1..(k-1)]Pj(Xi))
} + ridge * (B^2)

In order to find the matrix B for which L is minimised, a Quasi-Newton Method is used to search for the optimized values of the m*(k-1) variables.
Logistic() - Constructor for class weka.classifiers.functions.Logistic
Constructor that sets the default number of decimal places to 4.
LogisticBase - Class in weka.classifiers.trees.lmt
Base/helper class for building logistic regression models with the LogitBoost algorithm.
LogisticBase() - Constructor for class weka.classifiers.trees.lmt.LogisticBase
Constructor that creates LogisticBase object with standard options.
LogisticBase(int, boolean, boolean) - Constructor for class weka.classifiers.trees.lmt.LogisticBase
Constructor to create LogisticBase object.
LogisticProducerHelper - Class in weka.classifiers.pmml.producer
Helper class for producing PMML for a Logistic classifier.
LogisticProducerHelper() - Constructor for class weka.classifiers.pmml.producer.LogisticProducerHelper
 
LogitBoost - Class in weka.classifiers.meta
Class for performing additive logistic regression.
LogitBoost() - Constructor for class weka.classifiers.meta.LogitBoost
Constructor.
logJointDensitiesForInstance(Instance) - Method in class weka.clusterers.AbstractDensityBasedClusterer
Returns the logs of the joint densities for a given instance.
logJointDensitiesForInstance(Instance) - Method in interface weka.clusterers.DensityBasedClusterer
Returns the logs of the joint densities for a given instance.
loglikelihood(double[], double[]) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
Computes loglikelihood of current model.
LOGLOSS - Static variable in class weka.classifiers.functions.SGD
the log loss function.
LOGLOSS - Static variable in class weka.classifiers.functions.SGDText
the log loss function.
logLossDecodingTipText() - Method in class weka.classifiers.meta.MultiClassClassifier
 
logLow(String) - Method in class weka.knowledgeflow.LogManager
Log at the low level
logLow(String) - Method in interface weka.knowledgeflow.StepManager
Log a message at the "low" level
logLow(String) - Method in class weka.knowledgeflow.StepManagerImpl
Log a message at the low logging level
LogManager - Class in weka.knowledgeflow
Class that wraps a weka.gui.Logger and filters log messages according to the set logging level.
LogManager(Step) - Constructor for class weka.knowledgeflow.LogManager
Constructor that takes a Step.
LogManager(Logger) - Constructor for class weka.knowledgeflow.LogManager
Constructor that takes a log
LogManager(Logger, boolean) - Constructor for class weka.knowledgeflow.LogManager
Constructor that takes a log
logMessage(String) - Method in class weka.gui.beans.FlowRunner.SimpleLogger
 
logMessage(String) - Method in class weka.gui.beans.LogPanel
Sends the supplied message to the log area.
logMessage(String) - Method in interface weka.gui.Logger
Sends the supplied message to the log area.
logMessage(String) - Method in class weka.gui.LogPanel
Sends the supplied message to the log area.
logMessage(String) - Method in class weka.gui.SysErrLog
Sends the supplied message to the log area.
logMessage(String) - Method in class weka.knowledgeflow.FlowRunner.SimpleLogger
 
LogPanel - Class in weka.gui.beans
Class for displaying a status area (made up of a variable number of lines) and a log area.
LogPanel() - Constructor for class weka.gui.beans.LogPanel
 
LogPanel - Class in weka.gui
This panel allows log and status messages to be posted.
LogPanel() - Constructor for class weka.gui.LogPanel
Creates the log panel with no task monitor and the log always visible.
LogPanel(WekaTaskMonitor) - Constructor for class weka.gui.LogPanel
Creates the log panel with a task monitor, where the log is hidden.
LogPanel(WekaTaskMonitor, boolean) - Constructor for class weka.gui.LogPanel
Creates the log panel, possibly with task monitor, where the log is optionally hidden.
LogPanel(WekaTaskMonitor, boolean, boolean, boolean) - Constructor for class weka.gui.LogPanel
Creates the log panel, possibly with task monitor, where the either the log is optionally hidden or the status (having both hidden is not allowed).
logPSI - Static variable in class weka.core.matrix.Maths
The constant - log( sqrt(2 pi) )
logs2probs(double[]) - Static method in class weka.core.Utils
Converts an array containing the natural logarithms of probabilities stored in a vector back into probabilities.
logScore(int, int) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Gets the log score contribution of this distribution
logScore(int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
logScore returns the log of the quality of a network (e.g.
logScore(int, int) - Method in interface weka.classifiers.bayes.net.search.local.Scoreable
Returns log-score
logSystemInfo() - Method in class weka.core.Debug.Log
a convenience method for dumping the current system info in the log file
logSystemInfo() - Method in class weka.core.Debug.SimpleLog
a convenience method for dumping the current system info in the log file
logWarning(String) - Method in class weka.knowledgeflow.LogManager
Log a warning
logWarning(String) - Method in interface weka.knowledgeflow.StepManager
Log a warning message.
logWarning(String) - Method in class weka.knowledgeflow.StepManagerImpl
Log a warning message
LogWindow - Class in weka.gui
Frame that shows the output from stdout and stderr.
LogWindow() - Constructor for class weka.gui.LogWindow
creates the frame
LogWriter - Interface in weka.gui.beans
Interface to be implemented by classes that should be able to write their own output to the Weka logger.
LONG - Static variable in class weka.experiment.DatabaseUtils
Type mapping for LONG used for reading experiment results.
lookAheadIterationsTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
LookAndFeel - Class in weka.gui
A little helper class for setting the Look and Feel of the user interface.
LookAndFeel() - Constructor for class weka.gui.LookAndFeel
 
lookupCacheSizeTipText() - Method in class weka.attributeSelection.BestFirst
Returns the tip text for this property
LOSS_STRING - Variable in class weka.experiment.ResultMatrix
loss string.
lossFunctionTipText() - Method in class weka.classifiers.functions.SGD
Returns the tip text for this property
lossFunctionTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
LovinsStemmer - Class in weka.core.stemmers
A stemmer based on the Lovins stemmer, described here:

Julie Beth Lovins (1968).
LovinsStemmer() - Constructor for class weka.core.stemmers.LovinsStemmer
 
LOW_MEMORY_MINIMUM - Static variable in class weka.core.Memory
 
lowerBoundMinSupportTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
lowerBoundMinSupportTipText() - Method in class weka.associations.FPGrowth
Returns the tip text for this property
lowercaseTokensTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property
lowercaseTokensTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
lowerCaseTokensTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
lowerCaseTokensTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
lowerNumericBoundIsOpen() - Method in class weka.core.Attribute
Returns whether the lower numeric bound of the attribute is open.
lowerSizeTipText() - Method in class weka.experiment.LearningRateResultProducer
Returns the tip text for this property
LPAREN - Static variable in interface weka.core.expressionlanguage.parser.sym
 
LSQUARE - Static variable in interface weka.core.json.sym
 
LT - Static variable in interface weka.core.expressionlanguage.parser.sym
 
lu() - Method in class weka.core.matrix.Matrix
LU Decomposition
LUDecomposition - Class in weka.core.matrix
LU Decomposition.
LUDecomposition() - Method in class weka.core.Matrix
Deprecated.
Performs a LUDecomposition on the matrix.
LUDecomposition(Matrix) - Constructor for class weka.core.matrix.LUDecomposition
LU Decomposition
LWL - Class in weka.classifiers.lazy
Locally weighted learning.
LWL() - Constructor for class weka.classifiers.lazy.LWL
Constructor.

M

M5Base - Class in weka.classifiers.trees.m5
M5Base.
M5Base() - Constructor for class weka.classifiers.trees.m5.M5Base
Constructor
M5P - Class in weka.classifiers.trees
M5Base.
M5P() - Constructor for class weka.classifiers.trees.M5P
Creates a new M5P instance.
M5Rules - Class in weka.classifiers.rules
Generates a decision list for regression problems using separate-and-conquer.
M5Rules() - Constructor for class weka.classifiers.rules.M5Rules
Constructor
m_ADNodes - Variable in class weka.classifiers.bayes.net.VaryNode
list of ADNode children
m_alpha - Variable in class weka.classifiers.functions.supportVector.RegOptimizer
alpha and alpha* arrays containing weights for solving dual problem
m_alpha - Variable in class weka.classifiers.trees.lmt.LMTNode
Alpha-value (for pruning) at the node
m_alphaStar - Variable in class weka.classifiers.functions.supportVector.RegOptimizer
 
m_alwaysDisplayPointsOfThisSize - Variable in class weka.gui.visualize.PlotData2D
If the shape size of a point equals this size then always plot it (i.e.
M_AVERAGE - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
m_children - Variable in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
 
m_classDistribution - Variable in class weka.classifiers.trees.ht.HNode
Class distribution at this node
m_col - Variable in class weka.gui.treevisualizer.NamedColor
The actual color object
m_cols - Variable in class weka.gui.treevisualizer.Colors
The array with all the colors input
m_CoordCount - Variable in class weka.core.neighboursearch.PerformanceStats
The number of coordinates looked at for the current/last query.
m_count - Variable in class weka.classifiers.functions.SGDText.Count
 
m_customColour - Variable in class weka.gui.visualize.PlotData2D
 
m_defaultExpression - Static variable in class weka.filters.unsupervised.attribute.MathExpression
The default modification expression
M_DELETE - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
Missing value handling mode
m_displayAllPoints - Variable in class weka.gui.visualize.PlotData2D
Display all points (ie.
m_Distributions - Variable in class weka.classifiers.bayes.BayesNet
The attribute estimators containing CPTs.
m_doNotLoadList - Static variable in class weka.core.WekaPackageManager
The set of packages that the user has requested not to load
m_End - Variable in class weka.core.neighboursearch.balltrees.BallNode
The end index of the portion of the master index array, which stores indices of the instances/points the node contains.
m_End - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
The end index of the portion of the master index array, which stores indices of the instances/points the node contains.
m_experimentFinished - Variable in class weka.experiment.RemoteExperimentEvent
True if a remote experiment has finished
m_hidden_index - Variable in class weka.gui.InteractiveTableModel
Index of the hidden column
m_indexVal - Variable in class weka.gui.visualize.AttributePanelEvent
The index for the new attribute
m_initialPackageLoadingInProcess - Static variable in class weka.core.WekaPackageManager
Package loading in progress?
m_iNode - Variable in class weka.classifiers.bayes.net.VaryNode
index of the node varied
m_Instances - Variable in class weka.classifiers.bayes.BayesNet
The dataset header for the purposes of printing out a semi-intelligible model
m_Instances - Variable in class weka.classifiers.bayes.net.ADNode
list of Instance children (either m_Instances or m_VaryNodes is instantiated)
m_L - Variable in class weka.classifiers.functions.GaussianProcesses
(negative) covariance matrix in symmetric matrix representation
m_Left - Variable in class weka.core.neighboursearch.balltrees.BallNode
The left child of the node.
m_Left - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
left subtree; contains instances with smaller or equal to split value.
m_logMessage - Variable in class weka.experiment.RemoteExperimentEvent
A log type message
m_MaxC - Variable in class weka.core.neighboursearch.PerformanceStats
The min and max coordinates(attributes) looked at per query.
M_MAXDIFF - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
m_MaxP - Variable in class weka.core.neighboursearch.PerformanceStats
The min and max data points looked for a query by the NNS algorithm.
m_messageString - Variable in class weka.experiment.RemoteExperimentEvent
The message
m_MinC - Variable in class weka.core.neighboursearch.PerformanceStats
The min and max coordinates(attributes) looked at per query.
m_MinP - Variable in class weka.core.neighboursearch.PerformanceStats
The min and max data points looked for a query by the NNS algorithm.
m_name - Variable in class weka.gui.treevisualizer.NamedColor
The name of the color
m_nCount - Variable in class weka.classifiers.bayes.net.ADNode
count
m_nMCV - Variable in class weka.classifiers.bayes.net.VaryNode
most common value
m_nNodes - Variable in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
nodes of the Bayes net in this junction node
m_NodeNumber - Variable in class weka.core.neighboursearch.balltrees.BallNode
The node number/id.
m_NodeNumber - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
node number (only for debug).
m_NodeRanges - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
lowest and highest value and width (= high - low) for each dimension.
m_NodesRectBounds - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
The lo and high bounds of the hyper rectangle described by the node.
m_noPackageMetaDataAvailable - Static variable in class weka.core.WekaPackageManager
 
M_NORMAL - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
m_nStartNode - Variable in class weka.classifiers.bayes.net.ADNode
first node in VaryNode array
m_numIncorrectModel - Variable in class weka.classifiers.trees.lmt.LMTNode
Weighted number of training examples currently misclassified by the logistic model at the node
m_numIncorrectTree - Variable in class weka.classifiers.trees.lmt.LMTNode
Weighted number of training examples currently misclassified by the subtree rooted at the node
m_NumInstances - Variable in class weka.core.neighboursearch.balltrees.BallNode
The number of instances/points in the node.
m_numParameters - Variable in class weka.classifiers.trees.m5.RuleNode
the number of paramters in the chosen model for this node---either the subtree model or the linear model.
m_offline - Static variable in class weka.core.WekaPackageManager
Operating offline?
m_OutputFormat - Variable in class weka.core.Debug.Clock
the format of the output
m_outputTypes - Variable in class weka.core.Debug.DBO
range of outputtyp
m_parentBranch - Variable in class weka.classifiers.trees.ht.LeafNode
Parent branch leading to this node
m_parentNode - Variable in class weka.classifiers.trees.ht.LeafNode
Parent split node
m_PointCount - Variable in class weka.core.neighboursearch.PerformanceStats
The number of data points looked at for the current/last query.
m_postSplitClassDistributions - Variable in class weka.classifiers.trees.ht.SplitCandidate
list of class distributions resulting from a split - 2 entries in the outer list for numeric splits and n for nominal splits
m_Right - Variable in class weka.core.neighboursearch.balltrees.BallNode
The right child of the node.
m_Right - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
right subtree; contains instances with larger than split value.
m_root - Variable in class weka.classifiers.bayes.net.MarginCalculator
 
m_SplitAttrib - Variable in class weka.core.neighboursearch.balltrees.BallNode
The attribute that splits this node (not always used).
m_SplitDim - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
attribute to split on.
m_splitMerit - Variable in class weka.classifiers.trees.ht.SplitCandidate
The merit of the split
m_splitTest - Variable in class weka.classifiers.trees.ht.SplitCandidate
 
m_SplitVal - Variable in class weka.core.neighboursearch.balltrees.BallNode
The value of m_SpiltAttrib that splits this node (not always used).
m_SplitValue - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
value to split on.
m_Start - Variable in class weka.core.neighboursearch.balltrees.BallNode
The start index of the portion of the master index array, which stores the indices of the instances/points the node contains.
m_Start - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
The start index of the portion of the master index array, which stores the indices of the instances/points the node contains.
m_statusMessage - Variable in class weka.experiment.RemoteExperimentEvent
A status type message
m_SumC - Variable in class weka.core.neighboursearch.PerformanceStats
The sum of coordinates/attributes looked at for all the queries.
m_SumP - Variable in class weka.core.neighboursearch.PerformanceStats
The sum of data points looked at for all the queries.
m_SumSqC - Variable in class weka.core.neighboursearch.PerformanceStats
The squared sum of coordinates/attributes looked at for all the queries.
m_SumSqP - Variable in class weka.core.neighboursearch.PerformanceStats
The squared sum of data points looked at for all the queries.
m_theNode - Variable in class weka.classifiers.trees.ht.LeafNode
The actual node for this leaf
m_useCustomColour - Variable in class weka.gui.visualize.PlotData2D
Custom colour for this plot
m_UseWordwrap - Variable in class weka.gui.LogWindow
whether the JTextPane has wordwrap or not
m_VaryNodes - Variable in class weka.classifiers.bayes.net.ADNode
list of VaryNode children
m_verboseOn - Variable in class weka.core.Debug.DBO
enables/disables output of debug information
m_weight - Variable in class weka.classifiers.functions.SGDText.Count
 
m_weight - Variable in class weka.classifiers.trees.ht.WeightMass
 
m_weightSeenAtLastSplitEval - Variable in class weka.classifiers.trees.ht.ActiveHNode
The weight of instances seen at the last split evaluation
m_xChange - Variable in class weka.gui.visualize.AttributePanelEvent
True if the x selection changed
m_yChange - Variable in class weka.gui.visualize.AttributePanelEvent
True if the y selection changed
Macro - Interface in weka.core.expressionlanguage.core
Interface for compile time macros to enable meta programming
MacroDeclarations - Interface in weka.core.expressionlanguage.core
Interface to expose macros to a program.
MacroDeclarationsCompositor - Class in weka.core.expressionlanguage.common
A helper class that allows to combine several macro declarations together.
MacroDeclarationsCompositor(MacroDeclarations...) - Constructor for class weka.core.expressionlanguage.common.MacroDeclarationsCompositor
Constructs a MacroDeclarationsCompositor containing the provided declarations
MahalanobisEstimator - Class in weka.estimators
Simple probability estimator that places a single normal distribution over the observed values.
MahalanobisEstimator(Matrix, double, double) - Constructor for class weka.estimators.MahalanobisEstimator
Constructor
main(String[]) - Static method in class weka.associations.Apriori
Main method.
main(String[]) - Static method in class weka.associations.AssociatorEvaluation
A test method for this class.
main(String[]) - Static method in class weka.associations.CheckAssociator
Test method for this class
main(String[]) - Static method in class weka.associations.FilteredAssociator
Main method for running this class.
main(String[]) - Static method in class weka.associations.FPGrowth
Main method.
main(String[]) - Static method in class weka.attributeSelection.AttributeSelection
Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.CfsSubsetEval
Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.CheckAttributeSelection
Test method for this class
main(String[]) - Static method in class weka.attributeSelection.ClassifierAttributeEval
Main method for executing this class.
main(String[]) - Static method in class weka.attributeSelection.ClassifierSubsetEval
Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.CorrelationAttributeEval
Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.GainRatioAttributeEval
Main method.
main(String[]) - Static method in class weka.attributeSelection.InfoGainAttributeEval
Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.OneRAttributeEval
Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.PrincipalComponents
Main method for testing this class
main(String[]) - Static method in class weka.attributeSelection.ReliefFAttributeEval
Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.WrapperSubsetEval
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.BayesNet
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayes
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayesMultinomial
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayesUpdateable
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.net.ADNode
for testing only
main(String[]) - Static method in class weka.classifiers.bayes.net.BayesNetGenerator
Main method
main(String[]) - Static method in class weka.classifiers.bayes.net.BIFReader
Loads the file specified as first parameter and prints it to stdout.
main(String[]) - Static method in class weka.classifiers.bayes.net.EditableBayesNet
 
main(String[]) - Static method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.net.GUI
Main method.
main(String[]) - Static method in class weka.classifiers.bayes.net.MarginCalculator
 
main(String[]) - Static method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
for testing the class
main(String[]) - Static method in class weka.classifiers.BVDecompose
Test method for this class
main(String[]) - Static method in class weka.classifiers.BVDecomposeSegCVSub
Test method for this class
main(String[]) - Static method in class weka.classifiers.CheckClassifier
Test method for this class
main(String[]) - Static method in class weka.classifiers.CheckSource
Executes the tests, use "-h" to list the commandline options.
main(String[]) - Static method in class weka.classifiers.evaluation.Evaluation
A test method for this class.
main(String[]) - Static method in class weka.classifiers.Evaluation
A test method for this class.
main(String[]) - Static method in class weka.classifiers.functions.GaussianProcesses
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.LinearRegression
Generates a linear regression function predictor.
main(String[]) - Static method in class weka.classifiers.functions.Logistic
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.MultilayerPerceptron
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.SGD
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.SGDText
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.SimpleLinearRegression
Main method for testing this class
main(String[]) - Static method in class weka.classifiers.functions.SimpleLogistic
Main method for testing this class
main(String[]) - Static method in class weka.classifiers.functions.SMO
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.SMOreg
Main method for running this classifier.
main(String[]) - Static method in class weka.classifiers.functions.supportVector.CheckKernel
Test method for this class
main(String[]) - Static method in class weka.classifiers.functions.supportVector.KernelEvaluation
A test method for this class.
main(String[]) - Static method in class weka.classifiers.functions.VotedPerceptron
Main method.
main(String[]) - Static method in class weka.classifiers.lazy.IBk
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.lazy.KStar
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.lazy.LWL
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.AdaBoostM1
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.AdditiveRegression
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.AttributeSelectedClassifier
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.Bagging
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.ClassificationViaRegression
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.CostSensitiveClassifier
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.CVParameterSelection
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.FilteredClassifier
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.IterativeClassifierOptimizer
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.LogitBoost
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.MultiClassClassifier
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.MultiClassClassifierUpdateable
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.MultiScheme
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.RandomCommittee
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.RandomizableFilteredClassifier
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.RandomSubSpace
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.RegressionByDiscretization
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.Stacking
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.Vote
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.misc.InputMappedClassifier
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.misc.SerializedClassifier
Runs the classifier with the given options
main(String[]) - Static method in class weka.classifiers.rules.DecisionTable
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.rules.JRip
Main method.
main(String[]) - Static method in class weka.classifiers.rules.M5Rules
Main method by which this class can be tested
main(String[]) - Static method in class weka.classifiers.rules.OneR
Main method for testing this class
main(String[]) - Static method in class weka.classifiers.rules.PART
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.rules.ZeroR
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.trees.DecisionStump
Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.trees.HoeffdingTree
 
main(String[]) - Static method in class weka.classifiers.trees.J48
Main method for testing this class
main(String[]) - Static method in class weka.classifiers.trees.LMT
Main method for testing this class
main(String[]) - Static method in class weka.classifiers.trees.M5P
Main method by which this class can be tested
main(String[]) - Static method in class weka.classifiers.trees.RandomForest
Main method for this class.
main(String[]) - Static method in class weka.classifiers.trees.RandomTree
Main method for this class.
main(String[]) - Static method in class weka.classifiers.trees.REPTree
Main method for this class.
main(String[]) - Static method in class weka.clusterers.Canopy
 
main(String[]) - Static method in class weka.clusterers.CheckClusterer
Test method for this class
main(String[]) - Static method in class weka.clusterers.ClusterEvaluation
Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.Cobweb
Main method.
main(String[]) - Static method in class weka.clusterers.EM
Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.FarthestFirst
Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.FilteredClusterer
Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.HierarchicalClusterer
 
main(String[]) - Static method in class weka.clusterers.MakeDensityBasedClusterer
Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.SimpleKMeans
Main method for executing this class.
main(String[]) - Static method in class weka.core.AlgVector
Main method for testing this class, can take an ARFF file as first argument.
main(String[]) - Static method in class weka.core.AllJavadoc
Parses the given commandline parameters and generates the Javadoc.
main(String[]) - Static method in class weka.core.Attribute
Simple main method for testing this class.
main(String[]) - Static method in class weka.core.BinarySparseInstance
Main method for testing this class.
main(String[]) - Static method in class weka.core.Capabilities
loads the given dataset and prints the Capabilities necessary to process it.
main(String[]) - Static method in class weka.core.CheckGOE
Main method for using the CheckGOE.
main(String[]) - Static method in class weka.core.CheckOptionHandler
Main method for using the CheckOptionHandler.
main(String[]) - Static method in class weka.core.ClassCache
For testing only.
main(String[]) - Static method in class weka.core.ClassDiscovery
Possible calls: weka.core.ClassDiscovery <packages>
Prints all the packages in the current classpath weka.core.ClassDiscovery <classname> <packagename(s)>
Prints the classes it found.
main(String[]) - Static method in class weka.core.ContingencyTables
Main method for testing this class.
main(String[]) - Static method in class weka.core.converters.ArffLoader
Main method.
main(String[]) - Static method in class weka.core.converters.ArffSaver
Main method.
main(String[]) - Static method in class weka.core.converters.C45Loader
Main method for testing this class.
main(String[]) - Static method in class weka.core.converters.C45Saver
Main method.
main(String[]) - Static method in class weka.core.converters.ConverterUtils.DataSink
for testing only - takes a data file as input and a data file for the output.
main(String[]) - Static method in class weka.core.converters.ConverterUtils.DataSource
for testing only - takes a data file as input.
main(String[]) - Static method in class weka.core.converters.CSVLoader
Main method.
main(String[]) - Static method in class weka.core.converters.CSVSaver
Main method.
main(String[]) - Static method in class weka.core.converters.DatabaseLoader
Main method.
main(String[]) - Static method in class weka.core.converters.DatabaseSaver
Main method.
main(String[]) - Static method in class weka.core.converters.DictionarySaver
 
main(String[]) - Static method in class weka.core.converters.JSONLoader
Main method.
main(String[]) - Static method in class weka.core.converters.JSONSaver
Main method.
main(String[]) - Static method in class weka.core.converters.LibSVMLoader
Main method.
main(String[]) - Static method in class weka.core.converters.LibSVMSaver
Main method.
main(String[]) - Static method in class weka.core.converters.MatlabLoader
Main method.
main(String[]) - Static method in class weka.core.converters.MatlabSaver
Main method.
main(String[]) - Static method in class weka.core.converters.SerializedInstancesLoader
Main method.
main(String[]) - Static method in class weka.core.converters.SerializedInstancesSaver
Main method.
main(String[]) - Static method in class weka.core.converters.SVMLightLoader
Main method.
main(String[]) - Static method in class weka.core.converters.SVMLightSaver
Main method.
main(String[]) - Static method in class weka.core.converters.TextDirectoryLoader
Main method.
main(String[]) - Static method in class weka.core.converters.XRFFLoader
Main method.
main(String[]) - Static method in class weka.core.converters.XRFFSaver
Main method.
main(String[]) - Static method in class weka.core.Copyright
Only for testing
main(String[]) - Static method in class weka.core.DenseInstance
Main method for testing this class.
main(String[]) - Static method in class weka.core.EnumHelper
Main method for testing this class
main(String[]) - Static method in class weka.core.Environment
Main method for testing this class.
main(String[]) - Static method in class weka.core.FindWithCapabilities
Executes the location of classes with parameters from the commandline.
main(String[]) - Static method in class weka.core.GlobalInfoJavadoc
Parses the given commandline parameters and generates the Javadoc.
main(String[]) - Static method in class weka.core.InstanceComparator
for testing only.
main(String[]) - Static method in class weka.core.Instances
Main method for this class.
main(String[]) - Static method in class weka.core.json.JSONInstances
For testing only.
main(String[]) - Static method in class weka.core.json.JSONNode
Only for testing.
main(String[]) - Static method in class weka.core.json.Parser
Runs the parser from commandline.
main(String[]) - Static method in class weka.core.ListOptions
runs the javadoc producer with the given commandline options
main(String[]) - Static method in class weka.core.matrix.DoubleVector
 
main(String[]) - Static method in class weka.core.matrix.IntVector
Tests the IntVector class
main(String[]) - Static method in class weka.core.Matrix
Deprecated.
Main method for testing this class.
main(String[]) - Static method in class weka.core.matrix.Matrix
Main method for testing this class.
main(String[]) - Static method in class weka.core.Memory
prints only some statistics
main(String[]) - Static method in class weka.core.neighboursearch.CoverTree
Method for testing the class from command line.
main(String[]) - Static method in class weka.core.OptionHandlerJavadoc
Parses the given commandline parameters and generates the Javadoc.
main(String[]) - Static method in class weka.core.packageManagement.DefaultPackage
 
main(String[]) - Static method in class weka.core.packageManagement.DefaultPackageManager
 
main(String[]) - Static method in class weka.core.pmml.Constant
 
main(String[]) - Static method in class weka.core.pmml.PMMLFactory
 
main(String[]) - Static method in class weka.core.PropertyPath
for testing only
main(String[]) - Static method in class weka.core.Queue
Main method for testing this class.
main(String[]) - Static method in class weka.core.RandomVariates
Main method for testing this class.
main(String[]) - Static method in class weka.core.Range
Main method for testing this class.
main(String[]) - Static method in class weka.core.RepositoryIndexGenerator
Main method for running the RepositoryIndexGenerator
main(String[]) - Static method in class weka.core.RevisionUtils
For testing only.
main(String[]) - Static method in class weka.core.scripting.Groovy
If no arguments are given, it just prints the presence of the Groovy classes, otherwise it expects a Groovy filename to execute.
main(String[]) - Static method in class weka.core.scripting.Jython
If no arguments are given, it just prints the presence of the Jython classes, otherwise it expects a Jython filename to execute.
main(String[]) - Static method in class weka.core.SerializationHelper
Outputs information about a class on the commandline, takes class name as arguments.
main(String[]) - Static method in class weka.core.SingleIndex
Main method for testing this class.
main(String[]) - Static method in class weka.core.SparseInstance
Main method for testing this class.
main(String[]) - Static method in class weka.core.SpecialFunctions
Main method for testing this class.
main(String[]) - Static method in class weka.core.Statistics
Main method for testing this class.
main(String[]) - Static method in class weka.core.stemmers.IteratedLovinsStemmer
Runs the stemmer with the given options
main(String[]) - Static method in class weka.core.stemmers.LovinsStemmer
Runs the stemmer with the given options
main(String[]) - Static method in class weka.core.stemmers.NullStemmer
Runs the stemmer with the given options
main(String[]) - Static method in class weka.core.stemmers.SnowballStemmer
Runs the stemmer with the given options.
main(String[]) - Static method in class weka.core.Stopwords
Accepts the following parameter:

-i file
loads the stopwords from the given file

-o file
saves the stopwords to the given file

-p
outputs the current stopwords on stdout

Any additional parameters are interpreted as words to test as stopwords.

main(String[]) - Static method in class weka.core.SystemInfo
for printing the system info to stdout.
main(String[]) - Static method in class weka.core.TechnicalInformation
Prints some examples of technical informations if there are no commandline options given.
main(String[]) - Static method in class weka.core.TechnicalInformationHandlerJavadoc
Parses the given commandline parameters and generates the Javadoc.
main(String[]) - Static method in class weka.core.TestInstances
for running the class from commandline, prints the generated data to stdout
main(String[]) - Static method in class weka.core.tokenizers.AlphabeticTokenizer
Runs the tokenizer with the given options and strings to tokenize.
main(String[]) - Static method in class weka.core.tokenizers.CharacterNGramTokenizer
Runs the tokenizer with the given options and strings to tokenize.
main(String[]) - Static method in class weka.core.tokenizers.NGramTokenizer
Runs the tokenizer with the given options and strings to tokenize.
main(String[]) - Static method in class weka.core.tokenizers.WordTokenizer
Runs the tokenizer with the given options and strings to tokenize.
main(String[]) - Static method in class weka.core.Trie
Only for testing (prints the built Trie).
main(String[]) - Static method in class weka.core.Utils
Main method for testing this class.
main(String[]) - Static method in class weka.core.Version
only for testing
main(String[]) - Static method in class weka.core.WekaPackageManager
Main method for using the package manager from the command line
main(String[]) - Static method in class weka.core.xml.SerialUIDChanger
exchanges an old UID for a new one.
main(String[]) - Static method in class weka.core.xml.XMLDocument
for testing only.
main(String[]) - Static method in class weka.core.xml.XMLInstances
takes an XML document as first argument and then outputs the Instances statistics
main(String[]) - Static method in class weka.core.xml.XMLOptions
for testing only.
main(String[]) - Static method in class weka.core.xml.XMLSerialization
for testing only.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.Agrawal
Main method for executing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.BayesNet
Main method for executing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.LED24
Main method for executing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.RandomRBF
Main method for executing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.RDG1
Main method for testing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.regression.Expression
Main method for testing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.regression.MexicanHat
Main method for testing this class.
main(String[]) - Static method in class weka.datagenerators.clusterers.BIRCHCluster
Main method for testing this class.
main(String[]) - Static method in class weka.datagenerators.clusterers.SubspaceCluster
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.CheckEstimator
Test method for this class
main(String[]) - Static method in class weka.estimators.DDConditionalEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.DiscreteEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.DKConditionalEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.DNConditionalEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.KDConditionalEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.KernelEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.KKConditionalEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.MahalanobisEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.MultivariateGaussianEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.NDConditionalEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.NNConditionalEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.NormalEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.PoissonEstimator
Main method for testing this class.
main(String[]) - Static method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Main method, used for testing this class.
main(String[]) - Static method in class weka.estimators.UnivariateKernelEstimator
Main method, used for testing this class.
main(String[]) - Static method in class weka.estimators.UnivariateMixtureEstimator
Main method, used for testing this class.
main(String[]) - Static method in class weka.estimators.UnivariateNormalEstimator
Main method, used for testing this class.
main(String[]) - Static method in class weka.experiment.CrossValidationResultProducer
Quick test of timestamp
main(String[]) - Static method in class weka.experiment.Experiment
Configures/Runs the Experiment from the command line.
main(String[]) - Static method in class weka.experiment.InstanceQuery
Test the class from the command line.
main(String[]) - Static method in class weka.experiment.OutputZipper
Main method for testing this class
main(String[]) - Static method in class weka.experiment.PairedCorrectedTTester
Test the class from the command line.
main(String[]) - Static method in class weka.experiment.PairedStats
Tests the paired stats object from the command line.
main(String[]) - Static method in class weka.experiment.PairedStatsCorrected
Tests the paired stats object from the command line.
main(String[]) - Static method in class weka.experiment.PairedTTester
Test the class from the command line.
main(String[]) - Static method in class weka.experiment.RemoteEngine
Main method.
main(String[]) - Static method in class weka.experiment.RemoteExperiment
Configures/Runs the Experiment from the command line.
main(String[]) - Static method in class weka.experiment.ResultMatrixCSV
for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixGnuPlot
for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixHTML
for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixLatex
for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixPlainText
for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixSignificance
for testing only.
main(String[]) - Static method in class weka.experiment.Stats
Tests the paired stats object from the command line.
main(String[]) - Static method in class weka.experiment.xml.XMLExperiment
for testing only.
main(String[]) - Static method in class weka.filters.AllFilter
Main method for testing this class.
main(String[]) - Static method in class weka.filters.CheckSource
Executes the tests, use "-h" to list the commandline options.
main(String[]) - Static method in class weka.filters.Filter
Main method for testing this class.
main(String[]) - Static method in class weka.filters.MultiFilter
Main method for executing this class.
main(String[]) - Static method in class weka.filters.RenameRelation
Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.AddClassification
runs the filter with the given arguments.
main(String[]) - Static method in class weka.filters.supervised.attribute.AttributeSelection
Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Main method for testing this class
main(String[]) - Static method in class weka.filters.supervised.attribute.ClassOrder
Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.Discretize
Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.MergeNominalValues
runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.supervised.attribute.NominalToBinary
Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.PartitionMembership
Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.instance.ClassBalancer
runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.supervised.instance.Resample
Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.instance.SpreadSubsample
Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Add
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddCluster
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddExpression
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddID
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddNoise
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddUserFields
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddValues
Main method for testing and running this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.CartesianProduct
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Center
Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ClassAssigner
Main method for executing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ClusterMembership
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Copy
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.DateToNumeric
Runs the filter with the given parameters.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Discretize
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.FirstOrder
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
 
main(String[]) - Static method in class weka.filters.unsupervised.attribute.InterquartileRange
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.KernelFilter
runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MakeIndicator
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MathExpression
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MergeManyValues
Main method for executing this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MergeTwoValues
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NominalToBinary
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NominalToString
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Normalize
Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericCleaner
Runs the filter from commandline, use "-h" to see all options.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericToBinary
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericToDate
Runs the filter with the given parameters.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericToNominal
Runs the filter with the given parameters.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericTransform
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Obfuscate
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Main method for executing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.PKIDiscretize
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.PrincipalComponents
Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RandomProjection
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RandomSubset
Runs the filter with the given parameters.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Remove
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RemoveByName
runs the filter with the given arguments.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RemoveType
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RemoveUseless
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RenameAttribute
Main method for executing this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RenameNominalValues
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Reorder
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.SortLabels
runs the filter with the given arguments.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Standardize
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.StringToNominal
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.StringToWordVector
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.SwapValues
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Transpose
runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.unsupervised.instance.NonSparseToSparse
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.Randomize
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveDuplicates
Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveFolds
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveMisclassified
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemovePercentage
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveRange
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveWithValues
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.Resample
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.ReservoirSample
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.SparseToNonSparse
Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.SubsetByExpression
Main method for running this filter.
main(String[]) - Static method in class weka.gui.arffviewer.ArffViewer
shows the frame and it tries to load all the arff files that were provided as arguments.
main(String[]) - Static method in class weka.gui.AttributeListPanel
Tests the attribute list panel from the command line.
main(String[]) - Static method in class weka.gui.AttributeSelectionPanel
Tests the attribute selection panel from the command line.
main(String[]) - Static method in class weka.gui.AttributeSummaryPanel
Tests out the attribute summary panel from the command line.
main(String[]) - Static method in class weka.gui.AttributeVisualizationPanel
Main method to test this class from command line
main(String[]) - Static method in class weka.gui.beans.AttributeSummarizer
 
main(String[]) - Static method in class weka.gui.beans.CostBenefitAnalysis
 
main(String[]) - Static method in class weka.gui.beans.DataVisualizer
 
main(String[]) - Static method in class weka.gui.beans.EnvironmentField
Deprecated.
Main method for testing this class
main(String[]) - Static method in class weka.gui.beans.FlowRunner
Main method for testing this class.
main(String[]) - Static method in class weka.gui.beans.KnowledgeFlow
Shows the splash screen, launches the application and then disposes the splash screen.
main(String[]) - Static method in class weka.gui.beans.KnowledgeFlowApp
Main method.
main(String[]) - Static method in class weka.gui.beans.Loader
 
main(String[]) - Static method in class weka.gui.beans.LogPanel
Main method to test this class.
main(String[]) - Static method in class weka.gui.beans.ModelPerformanceChart
 
main(String[]) - Static method in class weka.gui.beans.Saver
The main method for testing
main(String[]) - Static method in class weka.gui.beans.ScatterPlotMatrix
 
main(String[]) - Static method in class weka.gui.beans.SQLViewerPerspective
Main method for testing this class
main(String[]) - Static method in class weka.gui.beans.StripChart
Tests out the StripChart from the command line
main(String[]) - Static method in class weka.gui.beans.TextViewer
 
main(String[]) - Static method in class weka.gui.boundaryvisualizer.BoundaryPanel
Main method for testing this class
main(String[]) - Static method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
Main method for testing this class
main(String[]) - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Main method for testing this class
main(String[]) - Static method in class weka.gui.ConverterFileChooser
For testing the file chooser.
main(String[]) - Static method in class weka.gui.DatabaseConnectionDialog
for testing only
main(String[]) - Static method in class weka.gui.EnvironmentField
Main method for testing this class
main(String[]) - Static method in class weka.gui.experiment.AlgorithmListPanel
Tests out the algorithm list panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.DatasetListPanel
Tests out the dataset list panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.DistributeExperimentPanel
Tests out the panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.Experimenter
Tests out the experiment environment.
main(String[]) - Static method in class weka.gui.experiment.ExperimenterDefaults
only for testing - prints the content of the props file.
main(String[]) - Static method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
Tests out the panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.HostListPanel
Tests out the host list panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.OutputFormatDialog
for testing only.
main(String[]) - Static method in class weka.gui.experiment.ResultsPanel
Tests out the results panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.RunNumberPanel
Tests out the panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.RunPanel
Tests out the run panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.SetupPanel
Tests out the experiment setup from the command line.
main(String[]) - Static method in class weka.gui.explorer.AssociationsPanel
Tests out the Associator panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.AttributeSelectionPanel
Tests out the attribute selection panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.ClassifierPanel
Tests out the classifier panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.ClustererPanel
Tests out the clusterer panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.Explorer
Tests out the explorer environment.
main(String[]) - Static method in class weka.gui.explorer.ExplorerDefaults
only for testing - prints the content of the props file.
main(String[]) - Static method in class weka.gui.explorer.PreprocessPanel
Tests out the instance-preprocessing panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.VisualizePanel
Tests out the visualize panel from the command line.
main(String[]) - Static method in class weka.gui.GenericArrayEditor
Tests out the array editor from the command line.
main(String[]) - Static method in class weka.gui.GenericObjectEditor
Tests out the Object editor from the command line.
main(String[]) - Static method in class weka.gui.GenericPropertiesCreator
for generating props file: no parameter: see default constructor 1 parameter (i.e., filename): see default constructor + setOutputFilename(String) 2 parameters (i.e, filenames): see constructor with String argument + setOutputFilename(String)
main(String[]) - Static method in class weka.gui.graphvisualizer.GraphVisualizer
Main method to load a text file with the description of a graph from the command line
main(String[]) - Static method in class weka.gui.GUIChooser
 
main(String[]) - Static method in class weka.gui.GUIChooserApp
Tests out the GUIChooser environment.
main(String[]) - Static method in class weka.gui.HierarchyPropertyParser
Tests out the parser.
main(String[]) - Static method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
Main method for testing this class.
main(String[]) - Static method in class weka.gui.InfoToWiki
 
main(String[]) - Static method in class weka.gui.InstancesSummaryPanel
Tests out the instance summary panel from the command line.
main(String[]) - Static method in class weka.gui.knowledgeflow.KnowledgeFlow
 
main(String[]) - Static method in class weka.gui.knowledgeflow.KnowledgeFlowApp
Main method for launching this application
main(String[]) - Static method in class weka.gui.ListSelectorDialog
Tests out the list selector from the command line.
main(String[]) - Static method in class weka.gui.LogPanel
Tests out the log panel from the command line.
main(String[]) - Static method in class weka.gui.LogWindow
for testing only
main(String[]) - Static method in class weka.gui.LookAndFeel
prints all the available LnFs to stdout
Main - Class in weka.gui
Menu-based GUI for Weka, replacement for the GUIChooser.
Main() - Constructor for class weka.gui.Main
default constructor.
main(String[]) - Static method in class weka.gui.Main
starts the application.
main(String[]) - Static method in class weka.gui.PackageManager
 
main(String[]) - Static method in class weka.gui.PropertySelectorDialog
Tests out the property selector from the command line.
main(String[]) - Static method in class weka.gui.ResultHistoryPanel
Tests out the result history from the command line.
main(String[]) - Static method in class weka.gui.SaveBuffer
Main method for testing this class
main(String[]) - Static method in class weka.gui.scripting.GroovyPanel
Displays the panel in a frame.
main(String[]) - Static method in class weka.gui.scripting.GroovyScript
Runs the script from commandline.
main(String[]) - Static method in class weka.gui.scripting.JythonPanel
Displays the panel in a frame.
main(String[]) - Static method in class weka.gui.scripting.JythonScript
Runs the script from commandline.
main(String[]) - Static method in class weka.gui.SelectedTagEditor
Tests out the selectedtag editor from the command line.
main(String[]) - Static method in class weka.gui.SimpleCLI
Method to start up the simple cli.
main(String[]) - Static method in class weka.gui.SimpleCLIPanel
Displays the panel in a frame.
main(String[]) - Static method in class weka.gui.sql.SqlViewer
starts the SQL-Viewer interface.
main(String[]) - Static method in class weka.gui.sql.SqlViewerDialog
for testing only.
main(String[]) - Static method in class weka.gui.treevisualizer.TreeVisualizer
Main method for testing this class.
main(String[]) - Static method in class weka.gui.visualize.AttributePanel
Main method for testing this class.
main(String[]) - Static method in class weka.gui.visualize.BMPWriter
for testing only.
main(String[]) - Static method in class weka.gui.visualize.ClassPanel
Main method for testing this class.
main(String[]) - Static method in class weka.gui.visualize.JPEGWriter
for testing only.
main(String[]) - Static method in class weka.gui.visualize.LegendPanel
Main method for testing this class
main(String[]) - Static method in class weka.gui.visualize.MatrixPanel
Main method for testing this class
main(String[]) - Static method in class weka.gui.visualize.Plot2D
Main method for testing this class
main(String[]) - Static method in class weka.gui.visualize.PNGWriter
for testing only.
main(String[]) - Static method in class weka.gui.visualize.PostscriptWriter
for testing only
main(String[]) - Static method in class weka.gui.visualize.ThresholdVisualizePanel
Starts the ThresholdVisualizationPanel with parameters from the command line.
main(String[]) - Static method in class weka.gui.visualize.VisualizePanel
Main method for testing this class
main(String[]) - Static method in class weka.gui.WekaTaskMonitor
Main method for testing this class
main(String[]) - Static method in class weka.gui.Workbench
 
main(String[]) - Static method in class weka.gui.WorkbenchApp
Main method.
main(String[]) - Static method in class weka.knowledgeflow.FlowRunner
Main method for executing the FlowRunner
main(String[]) - Static method in class weka.knowledgeflow.JSONFlowUtils
Main method for testing this class
main(String[]) - Static method in class weka.Run
Main method for this class.
Main.BackgroundDesktopPane - Class in weka.gui
DesktopPane with background image.
Main.ChildFrameMDI - Class in weka.gui
Specialized JInternalFrame class.
Main.ChildFrameSDI - Class in weka.gui
Specialized JFrame class.
MAIN_PERSPECTIVE_ID - Static variable in class weka.knowledgeflow.KFDefaults
 
MainKFPerspective() - Constructor for class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
MainKFPerspective - Class in weka.gui.knowledgeflow
Main perspective for the Knowledge flow application
MainKFPerspective() - Constructor for class weka.gui.knowledgeflow.MainKFPerspective
Construct a new MainKFPerspective
MainKFPerspectiveToolBar - Class in weka.gui.knowledgeflow
Class that provides the main editing widget toolbar and menu items
MainKFPerspectiveToolBar(MainKFPerspective) - Constructor for class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
Constructor
MainKFPerspectiveToolBar.Widgets - Enum in weka.gui.knowledgeflow
Enum containing all the widgets provided by the toolbar.
MainMenuExtension - Interface in weka.gui
Classes implementing this interface will be displayed in the "Extensions" menu in the main GUI of Weka.
MAJOR - Static variable in class weka.core.Version
the major version
MAJORITY_VOTING_RULE - Static variable in class weka.classifiers.meta.Vote
combination rule: Majority Voting (only nominal classes)
makeADTree(int, ArrayList<Integer>, Instances) - Static method in class weka.classifiers.bayes.net.ADNode
create sub tree
makeADTree(Instances) - Static method in class weka.classifiers.bayes.net.ADNode
create AD tree from set of instances
makeBinaryTipText() - Method in class weka.filters.supervised.attribute.Discretize
Returns the tip text for this property
makeBinaryTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
makeCopies(Associator, int) - Static method in class weka.associations.AbstractAssociator
Creates copies of the current associator.
makeCopies(ASEvaluation, int) - Static method in class weka.attributeSelection.ASEvaluation
Creates copies of the current evaluator.
makeCopies(ASSearch, int) - Static method in class weka.attributeSelection.ASSearch
Creates copies of the current search scheme.
makeCopies(Classifier, int) - Static method in class weka.classifiers.AbstractClassifier
Creates a given number of deep copies of the given classifier using serialization.
makeCopies(Kernel, int) - Static method in class weka.classifiers.functions.supportVector.Kernel
Creates a given number of deep or shallow (if the kernel implements Copyable) copies of the given kernel using serialization.
makeCopies(Clusterer, int) - Static method in class weka.clusterers.AbstractClusterer
Creates copies of the current clusterer.
makeCopies(DensityBasedClusterer, int) - Static method in class weka.clusterers.AbstractDensityBasedClusterer
Creates copies of the current clusterer.
makeCopies(Estimator, int) - Static method in class weka.estimators.Estimator
Creates a given number of deep copies of the given estimator using serialization.
makeCopies(Filter, int) - Static method in class weka.filters.Filter
Creates a given number of deep copies of the given filter using serialization.
makeCopy(Associator) - Static method in class weka.associations.AbstractAssociator
Creates a deep copy of the given associator using serialization.
makeCopy(Classifier) - Static method in class weka.classifiers.AbstractClassifier
Creates a deep copy of the given classifier using serialization.
makeCopy(Kernel) - Static method in class weka.classifiers.functions.supportVector.Kernel
Creates a shallow copy of the kernel (if it implements Copyable) otherwise a deep copy using serialization.
makeCopy(Clusterer) - Static method in class weka.clusterers.AbstractClusterer
Creates a deep copy of the given clusterer using serialization.
makeCopy(OptionHandler) - Static method in interface weka.core.OptionHandler
Creates an instance of the class that the given option handler belongs to and sets the options for this new instance by taking the option settings from the given option handler.
makeCopy(Estimator) - Static method in class weka.estimators.Estimator
Creates a deep copy of the given estimator using serialization.
makeCopy(Filter) - Static method in class weka.filters.Filter
Creates a deep copy of the given filter using serialization.
makeCopy(Object) - Static method in class weka.gui.GenericArrayEditor
Makes a copy of an object using serialization.
makeCopy(Object) - Static method in class weka.gui.GenericObjectEditor
Makes a copy of an object using serialization if the given object is not an option handler.
makeData(DataGenerator, String[]) - Static method in class weka.datagenerators.DataGenerator
Calls the data generator.
MakeDecList - Class in weka.classifiers.rules.part
Class for handling a decision list.
MakeDecList(ModelSelection, int) - Constructor for class weka.classifiers.rules.part.MakeDecList
Constructor for unpruned dec list.
MakeDecList(ModelSelection, double, int) - Constructor for class weka.classifiers.rules.part.MakeDecList
Constructor for dec list pruned using C4.5 pruning.
MakeDecList(ModelSelection, int, int, int) - Constructor for class weka.classifiers.rules.part.MakeDecList
Constructor for dec list pruned using hold-out pruning.
MakeDensityBasedClusterer - Class in weka.clusterers
Class for wrapping a Clusterer to make it return a distribution and density.
MakeDensityBasedClusterer() - Constructor for class weka.clusterers.MakeDensityBasedClusterer
Default constructor.
MakeDensityBasedClusterer(Clusterer) - Constructor for class weka.clusterers.MakeDensityBasedClusterer
Contructs a MakeDensityBasedClusterer wrapping a given Clusterer.
makeDistribution(double, int) - Static method in class weka.classifiers.evaluation.NominalPrediction
Convert a single prediction into a probability distribution with all zero probabilities except the predicted value which has probability 1.0.
MakeIndicator - Class in weka.filters.unsupervised.attribute
A filter that creates a new dataset with a Boolean attribute replacing a nominal attribute.
MakeIndicator() - Constructor for class weka.filters.unsupervised.attribute.MakeIndicator
Constructor
makeOutputInstance(Instance, boolean) - Method in class weka.gui.beans.SubstringLabelerRules
Process and input instance and return an output instance
makeOutputInstance(Instance) - Method in class weka.gui.beans.SubstringReplacerRules
Make an output instance given an input one
MakeResourceIntensive - Class in weka.knowledgeflow.steps
A Step that makes downstream steps that are directly connected to this step resource intensive (or not).
MakeResourceIntensive() - Constructor for class weka.knowledgeflow.steps.MakeResourceIntensive
 
makeUniformDistribution(int) - Static method in class weka.classifiers.evaluation.NominalPrediction
Creates a uniform probability distribution -- where each of the possible classes is assigned equal probability.
makeVaryNode(int, ArrayList<Integer>, Instances) - Static method in class weka.classifiers.bayes.net.ADNode
create sub tree
makeWeighted(CostMatrix) - Method in class weka.classifiers.evaluation.ConfusionMatrix
Makes a copy of this ConfusionMatrix after applying the supplied CostMatrix to the cells.
ManhattanDistance - Class in weka.core
Implements the Manhattan distance (or Taxicab geometry).
ManhattanDistance() - Constructor for class weka.core.ManhattanDistance
Constructs an Manhattan Distance object, Instances must be still set.
ManhattanDistance(Instances) - Constructor for class weka.core.ManhattanDistance
Constructs an Manhattan Distance object and automatically initializes the ranges.
map(String, String) - Method in class weka.core.matrix.DoubleVector
Applies a method to the vector
mapClasses(int, int, int[][], int[], double[], double[], int) - Static method in class weka.clusterers.ClusterEvaluation
Finds the minimum error mapping of classes to clusters.
MappingInfo - Class in weka.core.pmml
Class that maintains the mapping between incoming data set structure and that of the mining schema.
MappingInfo(Instances, MiningSchema, Logger) - Constructor for class weka.core.pmml.MappingInfo
 
mapToMiningSchema(Instances) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Map mining schema to incoming instances.
MapValues - Class in weka.core.pmml.jaxbbindings
Java class for MapValues element declaration.
MapValues() - Constructor for class weka.core.pmml.jaxbbindings.MapValues
 
margin() - Method in class weka.classifiers.evaluation.NominalPrediction
Calculates the prediction margin.
MarginCalculator - Class in weka.classifiers.bayes.net
 
MarginCalculator() - Constructor for class weka.classifiers.bayes.net.MarginCalculator
 
MarginCalculator.JunctionTreeNode - Class in weka.classifiers.bayes.net
 
MarginCalculator.JunctionTreeSeparator - Class in weka.classifiers.bayes.net
 
MarginCurve - Class in weka.classifiers.evaluation
Generates points illustrating the prediction margin.
MarginCurve() - Constructor for class weka.classifiers.evaluation.MarginCurve
 
markovBlanketClassifierTipText() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
 
markovBlanketClassifierTipText() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
 
maskKeyword(String) - Method in class weka.experiment.DatabaseUtils
If the given string is a keyword, then the mask character will be appended and returned.
MatCell - Class in weka.core.pmml.jaxbbindings
Java class for MatCell element declaration.
MatCell() - Constructor for class weka.core.pmml.jaxbbindings.MatCell
 
MATCH_PART_SEPARATOR - Static variable in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Separator for parts of the match specification
MATCH_RULE_SEPARATOR - Static variable in class weka.gui.beans.SubstringLabelerRules
Separator for match rules in the internal representation
Matchable - Interface in weka.core
Interface to something that can be matched with tree matching algorithms.
matchMissingValuesTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the tip text for this property
matchRulesFromInternal(String, Instances, String, Logger, Environment) - Static method in class weka.gui.beans.SubstringLabelerRules
Get a list of match rules from an internally encoded match specification
matchRulesFromInternal(String, Instances, String, Logger, Environment) - Static method in class weka.gui.beans.SubstringReplacerRules
Get a list of match rules from an internally encoded match specification
MathExpression - Class in weka.filters.unsupervised.attribute
Modify numeric attributes according to a given mathematical expression.
MathExpression() - Constructor for class weka.filters.unsupervised.attribute.MathExpression
Constructor
MathFunctions - Class in weka.core.expressionlanguage.common
Macro declarations for common mathematical functions.
MathFunctions() - Constructor for class weka.core.expressionlanguage.common.MathFunctions
 
Maths - Class in weka.core.matrix
Utility class.
Maths() - Constructor for class weka.core.matrix.Maths
 
MatlabLoader - Class in weka.core.converters
Reads a Matlab file containing a single matrix in ASCII format.
MatlabLoader() - Constructor for class weka.core.converters.MatlabLoader
 
MatlabSaver - Class in weka.core.converters
Writes Matlab ASCII files, in single or double precision format.
MatlabSaver() - Constructor for class weka.core.converters.MatlabSaver
Constructor.
matrix() - Method in class weka.classifiers.trees.j48.Distribution
Returns matrix with distribution of class values.
Matrix - Class in weka.core
Deprecated.
Use weka.core.matrix.Matrix instead - only for backwards compatibility.
Matrix(int, int) - Constructor for class weka.core.Matrix
Deprecated.
Constructs a matrix and initializes it with default values.
Matrix(double[][]) - Constructor for class weka.core.Matrix
Deprecated.
Constructs a matrix using a given array.
Matrix(Reader) - Constructor for class weka.core.Matrix
Deprecated.
Reads a matrix from a reader.
Matrix - Class in weka.core.matrix
Jama = Java Matrix class.
Matrix(int, int) - Constructor for class weka.core.matrix.Matrix
Construct an m-by-n matrix of zeros.
Matrix(int, int, double) - Constructor for class weka.core.matrix.Matrix
Construct an m-by-n constant matrix.
Matrix(double[][]) - Constructor for class weka.core.matrix.Matrix
Construct a matrix from a 2-D array.
Matrix(double[][], int, int) - Constructor for class weka.core.matrix.Matrix
Construct a matrix quickly without checking arguments.
Matrix(double[], int) - Constructor for class weka.core.matrix.Matrix
Construct a matrix from a one-dimensional packed array
Matrix(Reader) - Constructor for class weka.core.matrix.Matrix
Reads a matrix from a reader.
Matrix - Class in weka.core.pmml.jaxbbindings
Java class for Matrix element declaration.
Matrix() - Constructor for class weka.core.pmml.jaxbbindings.Matrix
 
MATRIX_ON_DEMAND - Static variable in class weka.classifiers.meta.CostSensitiveClassifier
load cost matrix on demand
MATRIX_SUPPLIED - Static variable in class weka.classifiers.meta.CostSensitiveClassifier
use explicit cost matrix
MatrixPanel - Class in weka.gui.visualize
This panel displays a plot matrix of the user selected attributes of a given data set.
MatrixPanel() - Constructor for class weka.gui.visualize.MatrixPanel
Constructor
matrixToString(double[][]) - Static method in class weka.attributeSelection.PrincipalComponents
Return a matrix as a String
matthewsCorrelationCoefficient(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculates the matthews correlation coefficient (sometimes called phi coefficient) for the supplied class.
matthewsCorrelationCoefficient(int, double, double, double, double) - Method in class weka.classifiers.evaluation.Evaluation
Calculates the matthews correlation coefficient (sometimes called phi coefficient) for the supplied class.
matthewsCorrelationCoefficient(int) - Method in class weka.classifiers.Evaluation
Calculates the matthews correlation coefficient (sometimes called phi coefficient) for the supplied class
max() - Method in class weka.core.matrix.DoubleVector
Returns the maximum value of all elements
MAX - Static variable in class weka.core.neighboursearch.KDTree
The index of MAX value in attributes' range array.
MAX - Static variable in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Index of max value in an array of attributes' range.
max - Variable in class weka.experiment.Stats
The maximum value seen, or Double.NaN if no values seen
MAX_DIGITS - Static variable in class weka.core.converters.SVMLightSaver
the number of digits after the decimal point.
MAX_HISTORY_COUNT - Static variable in class weka.gui.GenericObjectEditorHistory
the maximum entries in the history.
MAX_HISTORY_LENGTH - Static variable in class weka.gui.GenericObjectEditorHistory
the maximum length of a caption in the history.
MAX_LINE_LENGTH - Static variable in class weka.gui.GenericObjectEditorHistory
the menu max line length.
MAX_PRECISION - Static variable in class weka.gui.visualize.VisualizeUtils
Default maximum precision for the display of numeric values
MAX_ROWS - Static variable in class weka.gui.sql.QueryPanel
the name for the max rows in the history.
MAX_RULE - Static variable in class weka.classifiers.meta.Vote
combination rule: Maximum Probability
MAX_SHAPES - Static variable in class weka.gui.visualize.Plot2D
 
MAX_SLEEP_TIME - Static variable in class weka.core.Memory
 
MAX_TABS - Static variable in class weka.gui.scripting.SyntaxDocument
the maximum number of tabs.
MAX_UNDO_POINTS - Static variable in class weka.knowledgeflow.KFDefaults
 
MAX_UNDO_POINTS_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
maxBag() - Method in class weka.classifiers.trees.j48.Distribution
Returns index of bag containing maximum number of instances.
maxBoostingIterationsTipText() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the tip text for this property
maxCardinalityTipText() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
 
maxClass() - Method in class weka.classifiers.trees.j48.Distribution
Returns class with highest frequency over all bags.
maxClass(int) - Method in class weka.classifiers.trees.j48.Distribution
Returns class with highest frequency for given bag.
maxCountTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns the tip text for this property
maxDecimalPlacesTipText() - Method in class weka.core.converters.ArffSaver
Returns the tip text for this property.
maxDecimalPlacesTipText() - Method in class weka.core.converters.CSVSaver
Returns the tip text for this property.
maxDefaultTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
maxDepthTipText() - Method in class weka.classifiers.trees.RandomForest
Returns the tip text for this property
maxDepthTipText() - Method in class weka.classifiers.trees.RandomTree
Returns the tip text for this property
maxDepthTipText() - Method in class weka.classifiers.trees.REPTree
Returns the tip text for this property
maxImpurity() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
Returns the impurity of this split
maxImpurity() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
Returns the impurity of this split
maxImpurity() - Method in class weka.classifiers.trees.m5.YongSplitInfo
Returns the impurity of this split
maximumAttributeNamesTipText() - Method in class weka.attributeSelection.PrincipalComponents
Returns the tip text for this property
maximumAttributeNamesTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Returns the tip text for this property.
maximumAttributesTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Returns the tip text for this property.
maximumNumberOfClustersTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
maximumVariancePercentageAllowedTipText() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Returns the tip text for this property
maxIndex(double[]) - Static method in class weka.core.Utils
Returns index of maximum element in a given array of doubles.
maxIndex(int[]) - Static method in class weka.core.Utils
Returns index of maximum element in a given array of integers.
maxInstancesInLeafTipText() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the tip text for this property.
maxInstInLeafTipText() - Method in class weka.core.neighboursearch.KDTree
Tip text for this property.
maxInstNumTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
maxInstNumTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns the tip text for this property
maxIterationsTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
maxIterationsTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
maxIterationsTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns the tip text for this property
maxItsTipText() - Method in class weka.classifiers.functions.Logistic
Returns the tip text for this property
maxKTipText() - Method in class weka.classifiers.functions.VotedPerceptron
Returns the tip text for this property
maxNrOfParentsTipText() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
 
maxNumberOfItemsTipText() - Method in class weka.associations.FPGrowth
Tip text for this property suitable for displaying in the GUI.
maxNumCandidateCanopiesToHoldInMemory() - Method in class weka.clusterers.Canopy
Returns the tip text for this property.
maxNumComponentsToolTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
The tool tip for this property.
maxParentSetSize(int) - Method in class weka.classifiers.bayes.net.ParentSet
reserve memory for parent set
maxRadiusTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
maxRangeTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Returns the tip text for this property
maxRelativeLeafRadiusTipText() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Returns the tip text for this property.
maxRuleSizeTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the tip text for this property
maxSubsequenceLengthTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the tip text for this property
maxThresholdTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
MAYBE_SUPPORT - Static variable in class weka.gui.GenericObjectEditor.GOETreeNode
color for "maybe support".
mayRemoveInstanceAfterFirstBatchDone() - Method in class weka.filters.Filter
Default implementation returns false.
mayRemoveInstanceAfterFirstBatchDone() - Method in class weka.filters.MultiFilter
RemoveWithValues may return false from input() (thus not making an instance available immediately) even after the first batch has been completed due to matching a value that the user wants to remove.
mayRemoveInstanceAfterFirstBatchDone() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
RemoveWithValues may return false from input() (thus not making an instance available immediately) even after the first batch has been completed due to matching a value that the user wants to remove.
mayRemoveInstanceAfterFirstBatchDone() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
SubsetByExpression may return false from input() (thus not making an instance available immediately) even after the first batch has been completed if the user has opted to apply the filter to instances after the first batch (rather than just passing them through).
MDL - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
 
mean(double[]) - Static method in class weka.core.Utils
Computes the mean for an array of doubles.
mean - Variable in class weka.experiment.Stats
The mean of values, or Double.NaN if no values seen
meanAbsoluteError() - Method in class weka.classifiers.evaluation.Evaluation
Returns the mean absolute error.
meanAbsoluteError() - Method in class weka.classifiers.Evaluation
Returns the mean absolute error.
meanOrMode(int) - Method in class weka.core.Instances
Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value.
meanOrMode(Attribute) - Method in class weka.core.Instances
Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value.
meanPrecTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
meanPriorAbsoluteError() - Method in class weka.classifiers.evaluation.Evaluation
Returns the mean absolute error of the prior.
meanPriorAbsoluteError() - Method in class weka.classifiers.Evaluation
Returns the mean absolute error of the prior.
meanSquaredTipText() - Method in class weka.classifiers.lazy.IBk
Returns the tip text for this property.
meanWidthTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
measureAICScore() - Method in class weka.classifiers.bayes.BayesNet
 
measureAttributesUsed() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the fraction of all attributes in the data that are used in the logistic model (in percent).
measureBayesScore() - Method in class weka.classifiers.bayes.BayesNet
 
measureBDeuScore() - Method in class weka.classifiers.bayes.BayesNet
 
measureBestNumIts() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the best number of iterations
measureBestVal() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the measure for the best model
measureDivergence() - Method in class weka.classifiers.bayes.BayesNet
 
measureEntropyScore() - Method in class weka.classifiers.bayes.BayesNet
 
measureExtraArcs() - Method in class weka.classifiers.bayes.BayesNet
 
measureMaxDepth() - Method in class weka.core.neighboursearch.BallTree
Returns the depth of the tree.
measureMaxDepth() - Method in class weka.core.neighboursearch.CoverTree
Returns the depth of the tree.
measureMaxDepth() - Method in class weka.core.neighboursearch.KDTree
Returns the depth of the tree.
measureMDLScore() - Method in class weka.classifiers.bayes.BayesNet
 
measureMissingArcs() - Method in class weka.classifiers.bayes.BayesNet
 
measureNumAttributesSelected() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Additional measure --- number of attributes selected
measureNumIterations() - Method in class weka.classifiers.meta.AdditiveRegression
return the number of iterations (base classifiers) completed
measureNumLeaves() - Method in class weka.classifiers.trees.J48
Returns the number of leaves
measureNumLeaves() - Method in class weka.classifiers.trees.LMT
Returns the number of leaves in the tree
measureNumLeaves() - Method in class weka.core.neighboursearch.BallTree
Returns the number of leaves.
measureNumLeaves() - Method in class weka.core.neighboursearch.CoverTree
Returns the number of leaves.
measureNumLeaves() - Method in class weka.core.neighboursearch.KDTree
Returns the number of leaves.
measureNumRules() - Method in class weka.classifiers.rules.DecisionTable
Returns the number of rules
measureNumRules() - Method in class weka.classifiers.rules.PART
Return the number of rules.
measureNumRules() - Method in class weka.classifiers.trees.J48
Returns the number of rules (same as number of leaves)
measureNumRules() - Method in class weka.classifiers.trees.m5.M5Base
return the number of rules
measureOutOfBagError() - Method in class weka.classifiers.meta.Bagging
Gets the out of bag error that was calculated as the classifier was built.
measurePerformanceTipText() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns the tip text for this property.
measureReversedArcs() - Method in class weka.classifiers.bayes.BayesNet
 
measureSelectionTime() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Additional measure --- time taken (milliseconds) to select the attributes
measureTime() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Additional measure --- time taken (milliseconds) to select attributes and build the classifier
measureTreeSize() - Method in class weka.classifiers.trees.J48
Returns the size of the tree
measureTreeSize() - Method in class weka.classifiers.trees.LMT
Returns the size of the tree
measureTreeSize() - Method in class weka.core.neighboursearch.BallTree
Returns the size of the tree.
measureTreeSize() - Method in class weka.core.neighboursearch.CoverTree
Returns the size of the tree.
measureTreeSize() - Method in class weka.core.neighboursearch.KDTree
Returns the size of the tree.
MEDIAN_RULE - Static variable in class weka.classifiers.meta.Vote
combination rule: Median Probability (only numeric class)
MedianDistanceFromArbitraryPoint - Class in weka.core.neighboursearch.balltrees
Class that splits a BallNode of a ball tree using Uhlmann's described method.

For information see:

Jeffrey K.
MedianDistanceFromArbitraryPoint() - Constructor for class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Constructor.
MedianDistanceFromArbitraryPoint(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Constructor.
MedianOfWidestDimension - Class in weka.core.neighboursearch.balltrees
Class that splits a BallNode of a ball tree based on the median value of the widest dimension of the points in the ball.
MedianOfWidestDimension() - Constructor for class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Constructor.
MedianOfWidestDimension(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Constructor.
MedianOfWidestDimension - Class in weka.core.neighboursearch.kdtrees
The class that splits a KDTree node based on the median value of a dimension in which the node's points have the widest spread.

For more information see also:

Jerome H.
MedianOfWidestDimension() - Constructor for class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
 
Memory - Class in weka.core
A little helper class for Memory management.
Memory() - Constructor for class weka.core.Memory
initializes the memory management without GUI support
Memory(boolean) - Constructor for class weka.core.Memory
initializes the memory management
MemoryBasedDataSource - Class in weka.knowledgeflow.steps
Simple start step that stores a set of instances and outputs it in a dataSet connection.
MemoryBasedDataSource() - Constructor for class weka.knowledgeflow.steps.MemoryBasedDataSource
 
memoryIsLow() - Method in class weka.core.Memory
Checks to see if memory is running low.
MemoryUsagePanel - Class in weka.gui
A panel for displaying the memory usage.
MemoryUsagePanel() - Constructor for class weka.gui.MemoryUsagePanel
default constructor.
mergeAllItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.AprioriItemSet
Merges all item sets in the set of (k-1)-item sets to create the (k)-item sets and updates the counters.
mergeAllItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.ItemSet
Merges all item sets in the set of (k-1)-item sets to create the (k)-item sets and updates the counters.
mergeAllItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.LabeledItemSet
Merges all item sets in the set of (k-1)-item sets to create the (k)-item sets and updates the counters.
MergeInfrequentNominalValues - Class in weka.filters.unsupervised.attribute
Merges all values of the specified nominal attributes that are insufficiently frequent.
MergeInfrequentNominalValues() - Constructor for class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
 
mergeInstance(Instance) - Method in class weka.core.BinarySparseInstance
Merges this instance with the given instance and returns the result.
mergeInstance(Instance) - Method in class weka.core.DenseInstance
Merges this instance with the given instance and returns the result.
mergeInstance(Instance) - Method in interface weka.core.Instance
Merges this instance with the given instance and returns the result.
mergeInstance(Instance) - Method in class weka.core.SparseInstance
Merges this instance with the given instance and returns the result.
mergeInstances(Instances, Instances) - Static method in class weka.core.Instances
Merges two sets of Instances together.
MergeManyValues - Class in weka.filters.unsupervised.attribute
Merges many values of a nominal attribute into one value.
MergeManyValues() - Constructor for class weka.filters.unsupervised.attribute.MergeManyValues
 
MergeNominalValues - Class in weka.filters.supervised.attribute
Merges values of all nominal attributes among the specified attributes, excluding the class attribute, using the CHAID method, but without considering re-splitting of merged subsets.
MergeNominalValues() - Constructor for class weka.filters.supervised.attribute.MergeNominalValues
 
MergeTwoValues - Class in weka.filters.unsupervised.attribute
Merges two values of a nominal attribute into one value.
MergeTwoValues() - Constructor for class weka.filters.unsupervised.attribute.MergeTwoValues
 
mergeValueRangeTipText() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Returns the tip text for this property.
MESSAGE_TO_DISPLAY_ON_INSTALLATION_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for a message to display on installation
MetaBean - Class in weka.gui.beans
A meta bean that encapsulates several other regular beans, useful for grouping large KnowledgeFlows.
MetaBean() - Constructor for class weka.gui.beans.MetaBean
 
metaClassifierTipText() - Method in class weka.classifiers.meta.Stacking
Returns the tip text for this property
MetaStore - Interface in weka.core.metastore
Interface for metastore implementations.
METHOD_1_AGAINST_1 - Static variable in class weka.classifiers.meta.MultiClassClassifier
1-against-1
METHOD_1_AGAINST_ALL - Static variable in class weka.classifiers.meta.MultiClassClassifier
1-against-all
METHOD_ERROR_EXHAUSTIVE - Static variable in class weka.classifiers.meta.MultiClassClassifier
exhaustive correction code
METHOD_ERROR_RANDOM - Static variable in class weka.classifiers.meta.MultiClassClassifier
random correction code
MethodHandler - Class in weka.core.xml
This class handles relationships between display names of properties (or classes) and Methods that are associated with them.
MethodHandler() - Constructor for class weka.core.xml.MethodHandler
initializes the handler
methodNameTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
Returns the tip text for this property
methodTipText() - Method in class weka.classifiers.meta.MultiClassClassifier
 
metricIsMaximisable(String) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
Returns true if the named metric is maximisable
metricString() - Method in class weka.associations.Apriori
Returns the metric string for the chosen metric type
metricString() - Method in interface weka.associations.CARuleMiner
Gets name of the scoring metric used for car mining
metricTypeTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
metricTypeTipText() - Method in class weka.associations.FPGrowth
Tip text for this property suitable for displaying in the GUI.
MexicanHat - Class in weka.datagenerators.classifiers.regression
A data generator for the simple 'Mexian Hat' function:
y = sin|x| / |x|
In addition to this simple function, the amplitude can be changed and gaussian noise can be added.
MexicanHat() - Constructor for class weka.datagenerators.classifiers.regression.MexicanHat
initializes the generator
MiddleOutConstructor - Class in weka.core.neighboursearch.balltrees
The class that builds a BallTree middle out.

For more information see also:

Andrew W.
MiddleOutConstructor() - Constructor for class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Creates a new instance of MiddleOutConstructor.
MidPointOfWidestDimension - Class in weka.core.neighboursearch.kdtrees
The class that splits a KDTree node based on the midpoint value of a dimension in which the node's points have the widest spread.

For more information see also:

Andrew Moore (1991).
MidPointOfWidestDimension() - Constructor for class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
 
millisToDate(double, String) - Static method in class weka.core.Utils
The inverse of dateToMillis(String, String).
MIN - Static variable in class weka.core.neighboursearch.KDTree
The index of MIN value in attributes' range array.
MIN - Static variable in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Index of min value in an array of attributes' range.
min - Variable in class weka.experiment.Stats
The minimum value seen, or Double.NaN if no values seen
MIN_RULE - Static variable in class weka.classifiers.meta.Vote
combination rule: Minimum Probability
minAbsoluteCoefficientValueTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
minBoxRelWidthTipText() - Method in class weka.core.neighboursearch.KDTree
Tip text for this property.
minBucketSizeTipText() - Method in class weka.classifiers.rules.OneR
Returns the tip text for this property
minDataDLIfDeleted(int, double, boolean) - Method in class weka.classifiers.rules.RuleStats
Compute the minimal data description length of the ruleset if the rule in the given position is deleted.
The min_data_DL_if_deleted = data_DL_if_deleted - potential
minDataDLIfExists(int, double, boolean) - Method in class weka.classifiers.rules.RuleStats
Compute the minimal data description length of the ruleset if the rule in the given position is NOT deleted.
The min_data_DL_if_n_deleted = data_DL_if_n_deleted - potential
minDefaultTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
mineCARs(Instances) - Method in class weka.associations.Apriori
Method that mines all class association rules with minimum support and with a minimum confidence.
mineCARs(Instances) - Method in interface weka.associations.CARuleMiner
Method for mining class association rules.
minimalTipText() - Method in class weka.classifiers.functions.LinearRegression
Returns the tip text for this property.
minimizeAbsoluteErrorTipText() - Method in class weka.classifiers.meta.AdditiveRegression
Returns the tip text for this property
minimizeAbsoluteErrorTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns the tip text for this property
minimizeExpectedCostTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
 
minimizeWindows() - Method in class weka.gui.Main
minimizes all windows.
minimumBucketSizeTipText() - Method in class weka.attributeSelection.OneRAttributeEval
Returns a string for this option suitable for display in the gui as a tip text
minimumCanopyDensityTipText() - Method in class weka.clusterers.Canopy
Returns the tip text for this property.
minimumFractionOfWeightInfoGainTipText() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the tip text for this property
minimumFrequencyTipText() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Returns the tip text for this property
minimumLayoutSize(Container) - Method in class weka.gui.WrapLayout
Returns the minimum dimensions needed to layout the visible components contained in the specified target container.
minIndex(int[]) - Static method in class weka.core.Utils
Returns index of minimum element in a given array of integers.
minIndex(double[]) - Static method in class weka.core.Utils
Returns index of minimum element in a given array of doubles.
MiningBuildTask - Class in weka.core.pmml.jaxbbindings
Java class for MiningBuildTask element declaration.
MiningBuildTask() - Constructor for class weka.core.pmml.jaxbbindings.MiningBuildTask
 
MiningField - Class in weka.core.pmml.jaxbbindings
Java class for MiningField element declaration.
MiningField() - Constructor for class weka.core.pmml.jaxbbindings.MiningField
 
MiningField(String, FIELDUSAGETYPE) - Constructor for class weka.core.pmml.jaxbbindings.MiningField
 
MiningField(String, FIELDUSAGETYPE, MISSINGVALUETREATMENTMETHOD, String) - Constructor for class weka.core.pmml.jaxbbindings.MiningField
 
MiningFieldMetaInfo - Class in weka.core.pmml
Class encapsulating information about a MiningField.
MiningFieldMetaInfo(Element) - Constructor for class weka.core.pmml.MiningFieldMetaInfo
Constructs a new MiningFieldMetaInfo object.
MININGFUNCTION - Enum in weka.core.pmml.jaxbbindings
Java class for MINING-FUNCTION.
MiningModel - Class in weka.core.pmml.jaxbbindings
Java class for MiningModel element declaration.
MiningModel() - Constructor for class weka.core.pmml.jaxbbindings.MiningModel
 
MiningSchema - Class in weka.core.pmml.jaxbbindings
Java class for MiningSchema element declaration.
MiningSchema() - Constructor for class weka.core.pmml.jaxbbindings.MiningSchema
 
MiningSchema - Class in weka.core.pmml
This class encapsulates the mining schema from a PMML xml file.
MiningSchema(Element, Instances, TransformationDictionary) - Constructor for class weka.core.pmml.MiningSchema
Constructor for MiningSchema.
minInstNumTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
minInstNumTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns the tip text for this property
Minkowski - Class in weka.core.pmml.jaxbbindings
Java class for minkowski element declaration.
Minkowski() - Constructor for class weka.core.pmml.jaxbbindings.Minkowski
 
MinkowskiDistance - Class in weka.core
Implementing Minkowski distance (or similarity) function.

One object defines not one distance but the data model in which the distances between objects of that data model can be computed.

Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low.

For more information, see:

Wikipedia.
MinkowskiDistance() - Constructor for class weka.core.MinkowskiDistance
Constructs an Minkowski Distance object, Instances must be still set.
MinkowskiDistance(Instances) - Constructor for class weka.core.MinkowskiDistance
Constructs an Minkowski Distance object and automatically initializes the ranges.
minLogLikelihoodImprovementCVTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
minLogLikelihoodImprovementIteratingTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
minMetricTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
minMetricTipText() - Method in class weka.associations.FPGrowth
Returns the tip text for this property
minNoTipText() - Method in class weka.classifiers.rules.JRip
Returns the tip text for this property
minNumInstancesTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
minNumInstancesTipText() - Method in class weka.classifiers.trees.m5.M5Base
Returns the tip text for this property
minNumObjTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
minNumObjTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
minNumTipText() - Method in class weka.classifiers.trees.RandomTree
Returns the tip text for this property
minNumTipText() - Method in class weka.classifiers.trees.REPTree
Returns the tip text for this property
MINOR - Static variable in class weka.core.Version
the minor version
minProb - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
used/reused to hold the smallest transformation probability
minRadiusTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
minRangeTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Returns the tip text for this property
minRuleSizeTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the tip text for this property
minsAndMaxs(Instances, double[][], int) - Method in class weka.classifiers.trees.j48.C45Split
Returns the minsAndMaxs of the index.th subset.
minStdDevTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
minStdDevTipText() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns the tip text for this property
minTermFreqTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
minTermFreqTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
minThresholdTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Returns the tip text for this property
minus(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'-' minus operator
MINUS - Static variable in interface weka.core.expressionlanguage.parser.sym
 
minus(double) - Method in class weka.core.matrix.DoubleVector
Subtracts a value
minus(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Subtracts another DoubleVector element by element
minus(Matrix) - Method in class weka.core.matrix.Matrix
C = A - B
minusEquals(double) - Method in class weka.core.matrix.DoubleVector
Subtracts a value in place
minusEquals(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Subtracts another DoubleVector element by element in place
minusEquals(Matrix) - Method in class weka.core.matrix.Matrix
A = A - B
minVariancePropTipText() - Method in class weka.classifiers.trees.RandomTree
Returns the tip text for this property
minVariancePropTipText() - Method in class weka.classifiers.trees.REPTree
Returns the tip text for this property
minWordFrequencyTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property
minWordFrequencyTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
MISSING_SHAPE - Static variable in class weka.gui.visualize.Plot2D
 
MISSING_VALUE - Static variable in interface weka.classifiers.evaluation.Prediction
Constant representing a missing value.
MISSING_VALUE - Static variable in class weka.core.json.JSONInstances
the missing value indicator.
missingAccessed() - Method in class weka.core.expressionlanguage.weka.InstancesHelper
Whether a missing value has been evaluated during computation.
missingArcs(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
Count nr of arcs missing from other network compared to current network Note that an arc is not 'missing' if it is reversed.
missingClass() - Method in class weka.classifiers.evaluation.Evaluation
Gets the weight of the instances that had missing class values
missingCount - Variable in class weka.core.AttributeStats
The number of missing values
missingMergeTipText() - Method in class weka.attributeSelection.GainRatioAttributeEval
Returns the tip text for this property
missingMergeTipText() - Method in class weka.attributeSelection.InfoGainAttributeEval
Returns the tip text for this property
missingMergeTipText() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Returns the tip text for this property
missingModeTipText() - Method in class weka.classifiers.lazy.KStar
Returns the tip text for this property
missingSeparateTipText() - Method in class weka.attributeSelection.CfsSubsetEval
Returns the tip text for this property
missingValue() - Static method in class weka.core.Utils
Returns the value used to code a missing value.
MISSINGVALUESTRATEGY - Enum in weka.core.pmml.jaxbbindings
Java class for MISSING-VALUE-STRATEGY.
missingValueTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
missingValueTipText() - Method in class weka.core.converters.CSVSaver
Returns the tip text for this property.
MISSINGVALUETREATMENTMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for MISSING-VALUE-TREATMENT-METHOD.
MissingValueWeights - Class in weka.core.pmml.jaxbbindings
Java class for MissingValueWeights element declaration.
MissingValueWeights() - Constructor for class weka.core.pmml.jaxbbindings.MissingValueWeights
 
MM() - Constructor for class weka.estimators.UnivariateMixtureEstimator.MM
 
MODEL_FILE_EXTENSION - Static variable in class weka.gui.explorer.ClassifierPanel
The filename extension that should be used for model files.
MODEL_FILE_EXTENSION - Static variable in class weka.gui.explorer.ClustererPanel
The filename extension that should be used for model files
modelBuilt() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
flag to indicate whether the model was built yet
modelDistributionForInstance(Instance) - Method in class weka.classifiers.trees.lmt.LMTNode
Returns the class probabilities for an instance according to the logistic model at the node.
ModelExplanation - Class in weka.core.pmml.jaxbbindings
Java class for ModelExplanation element declaration.
ModelExplanation() - Constructor for class weka.core.pmml.jaxbbindings.ModelExplanation
 
modelFileTipText() - Method in class weka.classifiers.misc.SerializedClassifier
Returns the tip text for this property
ModelLiftGraph - Class in weka.core.pmml.jaxbbindings
Java class for ModelLiftGraph element declaration.
ModelLiftGraph() - Constructor for class weka.core.pmml.jaxbbindings.ModelLiftGraph
 
modelPathTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns the tip text for this property
ModelPerformanceChart - Class in weka.gui.beans
Bean that can be used for displaying threshold curves (e.g.
ModelPerformanceChart() - Constructor for class weka.gui.beans.ModelPerformanceChart
 
ModelPerformanceChart - Class in weka.knowledgeflow.steps
A Step that collects and displays either classifier error plots or threshold curves
ModelPerformanceChart() - Constructor for class weka.knowledgeflow.steps.ModelPerformanceChart
 
ModelPerformanceChartBeanInfo - Class in weka.gui.beans
Bean info class for the model performance chart
ModelPerformanceChartBeanInfo() - Constructor for class weka.gui.beans.ModelPerformanceChartBeanInfo
 
ModelPerformanceChartCustomizer - Class in weka.gui.beans
GUI customizer for model performance chart.
ModelPerformanceChartCustomizer() - Constructor for class weka.gui.beans.ModelPerformanceChartCustomizer
Constructor
ModelPerformanceChartInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive viewer for the ModelPerformanceChart step
ModelPerformanceChartInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.ModelPerformanceChartInteractiveView
 
ModelPerformanceChartStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the ModelPerformanceChart step
ModelPerformanceChartStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ModelPerformanceChartStepEditorDialog
 
ModelSelection - Class in weka.classifiers.trees.j48
Abstract class for model selection criteria.
ModelSelection() - Constructor for class weka.classifiers.trees.j48.ModelSelection
 
ModelStats - Class in weka.core.pmml.jaxbbindings
Java class for ModelStats element declaration.
ModelStats() - Constructor for class weka.core.pmml.jaxbbindings.ModelStats
 
modelsToString() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns a string describing the logistic regression function at the node.
ModelVerification - Class in weka.core.pmml.jaxbbindings
Java class for ModelVerification element declaration.
ModelVerification() - Constructor for class weka.core.pmml.jaxbbindings.ModelVerification
 
modifyHeaderTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns the tip text for this property
modifyHeaderTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the tip text for this property
momentumTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
moralize(BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
moralize DAG and calculate adjacency matrix representation for a Bayes Network, effecively converting the directed acyclic graph to an undirected graph.
mostRecentVersionWithRespectToConstraint(PackageConstraint) - Static method in class weka.core.WekaPackageManager
Find the most recent version of the package encapsulated in the supplied PackageConstraint argument that satisfies the constraint
mouseClicked(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
Invoked when a mouse button has been pressed and released on a component
mouseClicked(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Does nothing.
mouseDragged(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Performs intermediate updates to what the user wishes to do.
mouseEntered(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
Invoked when the mouse enters a component.
mouseEntered(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Does nothing.
mouseExited(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
Invoked when the mouse exits a component
mouseExited(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Does nothing.
mouseMoved(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Does nothing.
mousePressed(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
Invoked when a mouse button has been pressed on a component
mousePressed(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Determines what action the user wants to perform.
mouseReleased(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
Invoked when a mouse button has been released on a component.
mouseReleased(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
Performs the final stages of what the user wants to perform.
move(File, File) - Static method in class weka.gui.scripting.ScriptUtils
Moves the file/directory (recursively).
MOVE_DOWN - Static variable in class weka.gui.JListHelper
moves items down
MOVE_UP - Static variable in class weka.gui.JListHelper
moves items up
moveBottom(JList) - Static method in class weka.gui.JListHelper
moves the selected items to the end
moveDown(JList) - Static method in class weka.gui.JListHelper
moves the selected item down by 1
moveTop(JList) - Static method in class weka.gui.JListHelper
moves the selected items to the top
moveUp(JList) - Static method in class weka.gui.JListHelper
moves the selected items up by 1
MSE() - Method in class weka.estimators.UnivariateMixtureEstimator.MM
Returns average of squared errors for current model.
MultiClassClassifier - Class in weka.classifiers.meta
A metaclassifier for handling multi-class datasets with 2-class classifiers.
MultiClassClassifier() - Constructor for class weka.classifiers.meta.MultiClassClassifier
Constructor.
MultiClassClassifierUpdateable - Class in weka.classifiers.meta
A metaclassifier for handling multi-class datasets with 2-class classifiers.
MultiClassClassifierUpdateable() - Constructor for class weka.classifiers.meta.MultiClassClassifierUpdateable
Constructor
MultiFilter - Class in weka.filters
Applies several filters successively.
MultiFilter() - Constructor for class weka.filters.MultiFilter
 
MultiInstanceCapabilitiesHandler - Interface in weka.core
Multi-Instance classifiers can specify an additional Capabilities object for the data in the relational attribute, since the format of multi-instance data is fixed to "bag/NOMINAL,data/RELATIONAL,class".
MultilayerPerceptron - Class in weka.classifiers.functions
A classifier that uses backpropagation to learn a multi-layer perceptron to classify instances.
MultilayerPerceptron() - Constructor for class weka.classifiers.functions.MultilayerPerceptron
The constructor.
MultiNomialBMAEstimator - Class in weka.classifiers.bayes.net.estimate
Multinomial BMA Estimator.
MultiNomialBMAEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
 
MultipleClassifiersCombiner - Class in weka.classifiers
Abstract utility class for handling settings common to meta classifiers that build an ensemble from multiple classifiers.
MultipleClassifiersCombiner() - Constructor for class weka.classifiers.MultipleClassifiersCombiner
 
MULTIPLEMODELMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for MULTIPLE-MODEL-METHOD.
multiply(Matrix) - Method in class weka.core.Matrix
Deprecated.
Returns the multiplication of two matrices
multiResultsetFull(int, int) - Method in class weka.experiment.PairedTTester
Creates a comparison table where a base resultset is compared to the other resultsets.
multiResultsetFull(int, int) - Method in interface weka.experiment.Tester
Creates a comparison table where a base resultset is compared to the other resultsets.
multiResultsetRanking(int) - Method in class weka.experiment.PairedTTester
returns a ranking of the resultsets
multiResultsetRanking(int) - Method in interface weka.experiment.Tester
 
multiResultsetSummary(int) - Method in class weka.experiment.PairedTTester
Carries out a comparison between all resultsets, counting the number of datsets where one resultset outperforms the other.
multiResultsetSummary(int) - Method in interface weka.experiment.Tester
Carries out a comparison between all resultsets, counting the number of datsets where one resultset outperforms the other.
multiResultsetWins(int, int[][]) - Method in class weka.experiment.PairedTTester
Carries out a comparison between all resultsets, counting the number of datsets where one resultset outperforms the other.
multiResultsetWins(int, int[][]) - Method in interface weka.experiment.Tester
Carries out a comparison between all resultsets, counting the number of datsets where one resultset outperforms the other.
MultiScheme - Class in weka.classifiers.meta
Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.
MultiScheme() - Constructor for class weka.classifiers.meta.MultiScheme
 
MultiStopwords - Class in weka.core.stopwords
Applies the specified stopwords algorithms one after other.
As soon as a word has been identified as stopword, the loop is exited.
MultiStopwords() - Constructor for class weka.core.stopwords.MultiStopwords
 
MultivariateEstimator - Interface in weka.estimators
Interface to Multivariate Distribution Estimation
MultivariateGaussianEstimator - Class in weka.estimators
Implementation of maximum likelihood Multivariate Distribution Estimation using Normal Distribution.
MultivariateGaussianEstimator() - Constructor for class weka.estimators.MultivariateGaussianEstimator
 
MultivariateStat - Class in weka.core.pmml.jaxbbindings
Java class for MultivariateStat element declaration.
MultivariateStat() - Constructor for class weka.core.pmml.jaxbbindings.MultivariateStat
 
MultivariateStats - Class in weka.core.pmml.jaxbbindings
Java class for MultivariateStats element declaration.
MultivariateStats() - Constructor for class weka.core.pmml.jaxbbindings.MultivariateStats
 

N

NaiveBayes - Class in weka.classifiers.bayes
Class for a Naive Bayes classifier using estimator classes.
NaiveBayes() - Constructor for class weka.classifiers.bayes.NaiveBayes
 
NaiveBayes - Class in weka.classifiers.bayes.net.search.fixed
The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.
NaiveBayes() - Constructor for class weka.classifiers.bayes.net.search.fixed.NaiveBayes
 
NaiveBayesModel - Class in weka.core.pmml.jaxbbindings
Java class for NaiveBayesModel element declaration.
NaiveBayesModel() - Constructor for class weka.core.pmml.jaxbbindings.NaiveBayesModel
 
NaiveBayesMultinomial - Class in weka.classifiers.bayes
Class for building and using a multinomial Naive Bayes classifier.
NaiveBayesMultinomial() - Constructor for class weka.classifiers.bayes.NaiveBayesMultinomial
 
NaiveBayesMultinomialText - Class in weka.classifiers.bayes
Multinomial naive bayes for text data.
NaiveBayesMultinomialText() - Constructor for class weka.classifiers.bayes.NaiveBayesMultinomialText
 
NaiveBayesMultinomialUpdateable - Class in weka.classifiers.bayes
Class for building and using an updateable multinomial Naive Bayes classifier.
NaiveBayesMultinomialUpdateable() - Constructor for class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
 
naiveBayesPredictionThresholdTipText() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the tip text for this property
NaiveBayesUpdateable - Class in weka.classifiers.bayes
Class for a Naive Bayes classifier using estimator classes.
NaiveBayesUpdateable() - Constructor for class weka.classifiers.bayes.NaiveBayesUpdateable
 
name() - Method in class weka.core.Attribute
Returns the attribute's name.
NAME - Static variable in class weka.core.json.JSONInstances
the name attribute.
name() - Method in class weka.core.Option
Returns the option's name.
NAME_CLASSFIRST - Static variable in class weka.experiment.xml.XMLExperiment
the name of the classFirst property
NAME_PROPERTYNODE_PARENTCLASS - Static variable in class weka.experiment.xml.XMLExperiment
PropertyNode member
NAME_PROPERTYNODE_PROPERTY - Static variable in class weka.experiment.xml.XMLExperiment
PropertyNode member
NAME_PROPERTYNODE_VALUE - Static variable in class weka.experiment.xml.XMLExperiment
PropertyNode member
NamedColor - Class in weka.gui.treevisualizer
This class contains a color name and the rgb values of that color
NamedColor(String, int, int, int) - Constructor for class weka.gui.treevisualizer.NamedColor
 
nameTipText() - Method in class weka.filters.unsupervised.attribute.AddExpression
Returns the tip text for this property
NATIVE_LIBS_DIR - Static variable in class weka.core.WekaPackageManager
The default native libraries directory
NATIVE_LIBS_DIR_NAME - Static variable in class weka.core.WekaPackageManager
 
NBNode - Class in weka.classifiers.trees.ht
Implements a LearningNode that uses a naive Bayes model
NBNode(Instances, double) - Constructor for class weka.classifiers.trees.ht.NBNode
Construct a new NBNode
NBNodeAdaptive - Class in weka.classifiers.trees.ht
Implements a LearningNode that chooses between using majority class or naive Bayes for prediction
NBNodeAdaptive(Instances, double) - Constructor for class weka.classifiers.trees.ht.NBNodeAdaptive
Constructor
NBTreeClassifierTree - Class in weka.classifiers.trees.j48
Class for handling a naive bayes tree structure used for classification.
NBTreeClassifierTree(ModelSelection) - Constructor for class weka.classifiers.trees.j48.NBTreeClassifierTree
 
NBTreeModelSelection - Class in weka.classifiers.trees.j48
Class for selecting a NB tree split.
NBTreeModelSelection(int, Instances) - Constructor for class weka.classifiers.trees.j48.NBTreeModelSelection
Initializes the split selection method with the given parameters.
NBTreeNoSplit - Class in weka.classifiers.trees.j48
Class implementing a "no-split"-split (leaf node) for naive bayes trees.
NBTreeNoSplit() - Constructor for class weka.classifiers.trees.j48.NBTreeNoSplit
 
NBTreeSplit - Class in weka.classifiers.trees.j48
Class implementing a NBTree split on an attribute.
NBTreeSplit(int, int, double) - Constructor for class weka.classifiers.trees.j48.NBTreeSplit
Initializes the split model.
NDConditionalEstimator - Class in weka.estimators
Conditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate normal estimators for each discrete conditioning value).
NDConditionalEstimator() - Constructor for class weka.estimators.NDConditionalEstimator
No-arg constructor needed to make WEKA's forName() work.
NDConditionalEstimator(int, double) - Constructor for class weka.estimators.NDConditionalEstimator
Constructor
NearestNeighborModel - Class in weka.core.pmml.jaxbbindings
Java class for NearestNeighborModel element declaration.
NearestNeighborModel() - Constructor for class weka.core.pmml.jaxbbindings.NearestNeighborModel
 
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.BallTree
Returns the nearest instance in the current neighbourhood to the supplied instance.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.CoverTree
Returns the NN instance of a given target instance, from among the previously supplied training instances.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns the nearest neighbour for the given instance based on distance measured in the filtered space.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.KDTree
Returns the nearest neighbour of the supplied target instance.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.LinearNNSearch
Returns the nearest instance in the current neighbourhood to the supplied instance.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Returns the nearest instance in the current neighbourhood to the supplied instance.
NearestNeighbourSearch - Class in weka.core.neighboursearch
Abstract class for nearest neighbour search.
NearestNeighbourSearch() - Constructor for class weka.core.neighboursearch.NearestNeighbourSearch
Constructor.
NearestNeighbourSearch(Instances) - Constructor for class weka.core.neighboursearch.NearestNeighbourSearch
Constructor.
nearestNeighbourSearchAlgorithmTipText() - Method in class weka.classifiers.lazy.IBk
Returns the tip text for this property.
nearestNeighbourSearchAlgorithmTipText() - Method in class weka.classifiers.lazy.LWL
Returns the tip text for this property.
needExponentialFormat(double) - Method in class weka.core.matrix.FlexibleDecimalFormat
 
needsUID(String) - Static method in class weka.core.SerializationHelper
checks whether a class needs to declare a serialVersionUID, i.e., it implements the java.io.Serializable interface but doesn't declare a serialVersionUID.
needsUID(Class<?>) - Static method in class weka.core.SerializationHelper
checks whether a class needs to declare a serialVersionUID, i.e., it implements the java.io.Serializable interface but doesn't declare a serialVersionUID.
NeuralConnection - Class in weka.classifiers.functions.neural
Abstract unit in a NeuralNetwork.
NeuralConnection(String) - Constructor for class weka.classifiers.functions.neural.NeuralConnection
Constructs The unit with the basic connection information prepared for use.
NeuralInput - Class in weka.core.pmml.jaxbbindings
Java class for NeuralInput element declaration.
NeuralInput() - Constructor for class weka.core.pmml.jaxbbindings.NeuralInput
 
NeuralInputs - Class in weka.core.pmml.jaxbbindings
Java class for NeuralInputs element declaration.
NeuralInputs() - Constructor for class weka.core.pmml.jaxbbindings.NeuralInputs
 
NeuralLayer - Class in weka.core.pmml.jaxbbindings
Java class for NeuralLayer element declaration.
NeuralLayer() - Constructor for class weka.core.pmml.jaxbbindings.NeuralLayer
 
NeuralMethod - Interface in weka.classifiers.functions.neural
This is an interface used to create classes that can be used by the neuralnode to perform all it's computations.
NeuralNetwork - Class in weka.classifiers.pmml.consumer
Class implementing import of PMML Neural Network model.
NeuralNetwork(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.NeuralNetwork
 
NeuralNetwork - Class in weka.core.pmml.jaxbbindings
Java class for NeuralNetwork element declaration.
NeuralNetwork() - Constructor for class weka.core.pmml.jaxbbindings.NeuralNetwork
 
NeuralNode - Class in weka.classifiers.functions.neural
This class is used to represent a node in the neuralnet.
NeuralNode(String, Random, NeuralMethod) - Constructor for class weka.classifiers.functions.neural.NeuralNode
 
NeuralOutput - Class in weka.core.pmml.jaxbbindings
Java class for NeuralOutput element declaration.
NeuralOutput() - Constructor for class weka.core.pmml.jaxbbindings.NeuralOutput
 
NeuralOutputs - Class in weka.core.pmml.jaxbbindings
Java class for NeuralOutputs element declaration.
NeuralOutputs() - Constructor for class weka.core.pmml.jaxbbindings.NeuralOutputs
 
Neuron - Class in weka.core.pmml.jaxbbindings
Java class for Neuron element declaration.
Neuron() - Constructor for class weka.core.pmml.jaxbbindings.Neuron
 
NEW_BATCH - Static variable in class weka.gui.beans.IncrementalClassifierEvent
 
newClassLoader() - Static method in class weka.core.scripting.Groovy
initializes and returns a Groovy Interpreter.
newClock() - Static method in class weka.core.Debug
returns a new instance of a clock
newDataFormat(DataSetEvent) - Method in class weka.gui.beans.ClassAssignerCustomizer
 
newDataFormat(DataSetEvent) - Method in interface weka.gui.beans.DataFormatListener
Recieve a DataSetEvent that encapsulates a new data format.
newDocument(String, String) - Method in class weka.core.xml.XMLDocument
creates a new Document with the given information.
newEnt(Distribution) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
Computes entropy of distribution after splitting.
Newick - Static variable in interface weka.core.Drawable
 
newInstance(File, Class<?>) - Static method in class weka.core.scripting.Groovy
loads the module and returns a new instance of it as instance of the provided Java class template.
newInstance(File, Class<?>) - Static method in class weka.core.scripting.Jython
loads the module and returns a new instance of it as instance of the provided Java class template.
newInstance(File, Class<?>, File[]) - Static method in class weka.core.scripting.Jython
loads the module and returns a new instance of it as instance of the provided Java class template.
newInstance() - Method in class weka.gui.ExtensionFileFilterWithClass
Creates a new instance of the underlying class.
newInterpreter() - Static method in class weka.core.scripting.Jython
initializes and returns a Python Interpreter
newLog(String, int, int) - Static method in class weka.core.Debug
returns a new Log instance
newNominalRule(Attribute, Instances, int[]) - Method in class weka.classifiers.rules.OneR
Create a rule branching on this nominal attribute.
newNumericRule(Attribute, Instances, int[]) - Method in class weka.classifiers.rules.OneR
Create a rule branching on this numeric attribute
newPlotStarted(String) - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
 
newPlotStarted(String) - Method in interface weka.knowledgeflow.steps.BoundaryPlotter.RenderingUpdateListener
Called when a new plot is started
newPropertiesHandler() - Method in class weka.gui.WekaFileChooser.Factory
 
newRandom() - Static method in class weka.core.Debug
returns a default debug random object, with no particular seed and debugging enabled.
newRandom(int) - Static method in class weka.core.Debug
returns a debug random object with the specified seed and debugging enabled.
newRule(Attribute, Instances) - Method in class weka.classifiers.rules.OneR
Create a rule branching on this attribute.
newThread(String[]) - Method in class weka.gui.scripting.GroovyScript
Returns a new thread to execute.
newThread(String[]) - Method in class weka.gui.scripting.JythonScript
Returns a new thread to execute.
newThread(String[]) - Method in class weka.gui.scripting.Script
Returns a new thread to execute.
newTimestamp() - Static method in class weka.core.Debug
returns a default timestamp for the current date/time
next() - Method in class weka.classifiers.functions.MultilayerPerceptron
Performs one iteration.
next() - Method in interface weka.classifiers.IterativeClassifier
Performs one iteration.
next - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
next table entry (separate chaining)
next() - Method in class weka.classifiers.meta.AdaBoostM1
Perform the next boosting iteration.
next() - Method in class weka.classifiers.meta.AdditiveRegression
Perform another iteration.
next() - Method in class weka.classifiers.meta.FilteredClassifier
Performs one iteration.
next() - Method in class weka.classifiers.meta.LogitBoost
Perform another iteration of boosting.
next() - Method in class weka.core.Trie.TrieIterator
Returns the next element in the iteration.
next_token() - Method in class weka.core.expressionlanguage.parser.Scanner
Resumes scanning until the next regular expression is matched, the end of input is encountered or an I/O-Error occurs.
next_token() - Method in class weka.core.json.Scanner
Resumes scanning until the next regular expression is matched, the end of input is encountered or an I/O-Error occurs.
nextBoolean() - Method in class weka.core.Debug.Random
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBytes(byte[]) - Method in class weka.core.Debug.Random
Generates random bytes and places them into a user-supplied byte array.
nextDouble() - Method in class weka.core.Debug.Random
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextElement(Instances) - Method in class weka.core.converters.ConverterUtils.DataSource
returns the next element and sets the specified dataset, null if none available.
nextElement() - Method in class weka.core.tokenizers.AlphabeticTokenizer
returns the next element
nextElement() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Returns N-grams and also (N-1)-grams and ....
nextElement() - Method in class weka.core.tokenizers.NGramTokenizer
Returns N-grams and also (N-1)-grams and ....
nextElement() - Method in class weka.core.tokenizers.Tokenizer
Returns the next element of this enumeration if this enumeration object has at least one more element to provide.
nextElement() - Method in class weka.core.tokenizers.WordTokenizer
Returns the next element of this enumeration if this enumeration object has at least one more element to provide.
nextElement() - Method in class weka.core.WekaEnumeration
Returns the next element.
nextErlang(int) - Method in class weka.core.RandomVariates
Generate a value of a variate following standard Erlang distribution.
nextExponential() - Method in class weka.core.RandomVariates
Generate a value of a variate following standard exponential distribution using simple inverse method.
nextFloat() - Method in class weka.core.Debug.Random
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextGamma(double) - Method in class weka.core.RandomVariates
Generate a value of a variate following standard Gamma distribution with shape parameter a.
nextGaussian() - Method in class weka.core.Debug.Random
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextInt() - Method in class weka.core.Debug.Random
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class weka.core.Debug.Random
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextIteration() - Method in class weka.experiment.Experiment
Carries out the next iteration of the experiment.
nextIteration() - Method in class weka.experiment.RemoteExperiment
Overides the one in Experiment
nextLong() - Method in class weka.core.Debug.Random
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
NGramMaxSizeTipText() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Returns the tip text for this property.
NGramMaxSizeTipText() - Method in class weka.core.tokenizers.NGramTokenizer
Returns the tip text for this property.
NGramMinSizeTipText() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Returns the tip text for this property.
NGramMinSizeTipText() - Method in class weka.core.tokenizers.NGramTokenizer
Returns the tip text for this property.
NGramTokenizer - Class in weka.core.tokenizers
Splits a string into an n-gram with min and max grams.
NGramTokenizer() - Constructor for class weka.core.tokenizers.NGramTokenizer
 
NNConditionalEstimator - Class in weka.estimators
Conditional probability estimator for a numeric domain conditional upon a numeric domain (using Mahalanobis distance).
NNConditionalEstimator() - Constructor for class weka.estimators.NNConditionalEstimator
 
NNNORMALIZATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for NN-NORMALIZATION-METHOD.
NO_CLASS - Static variable in class weka.associations.CheckAssociator
a "dummy" class type
NO_CLASS - Static variable in class weka.core.TestInstances
can be used to avoid generating a class attribute
NO_CLASS - Static variable in class weka.gui.SetInstancesPanel
the text denoting "no class" in the class combobox.
NO_COMMAND - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
 
NO_SUPPORT - Static variable in class weka.gui.GenericObjectEditor.GOETreeNode
color for "no support".
Node - Interface in weka.core.expressionlanguage.core
A node of the AST (abstract syntax tree) for a program
Node - Class in weka.core.pmml.jaxbbindings
Java class for Node element declaration.
Node() - Constructor for class weka.core.pmml.jaxbbindings.Node
 
Node - Class in weka.gui.treevisualizer
This class records all the data about a particular node for displaying.
Node(String, String, int, int, Color, String) - Constructor for class weka.gui.treevisualizer.Node
This will setup all the values of the node except for its top and center.
NodePlace - Interface in weka.gui.treevisualizer
This is an interface for classes that wish to take a node structure and arrange them
nodeSplitterTipText() - Method in class weka.core.neighboursearch.KDTree
Returns the tip text for this property.
nodeToString() - Method in class weka.classifiers.trees.m5.RuleNode
Returns a description of this node (debugging purposes)
nodeType - Variable in class weka.gui.graphvisualizer.GraphNode
Type of node.
noHeaderRowPresentTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
noHeaderRowTipText() - Method in class weka.core.converters.CSVSaver
Returns the tip text for this property.
noisePercentTipText() - Method in class weka.datagenerators.classifiers.classification.LED24
Returns the tip text for this property
noiseRateTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Returns the tip text for this property
noiseTipText() - Method in class weka.classifiers.functions.GaussianProcesses
Returns the tip text for this property
noiseVarianceTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Returns the tip text for this property
NoMacros - Class in weka.core.expressionlanguage.common
A macro declarations that contains no macros at all
NoMacros() - Constructor for class weka.core.expressionlanguage.common.NoMacros
 
NOMINAL - Static variable in class weka.core.Attribute
Constant set for nominal attributes.
NominalAntd(Attribute) - Constructor for class weka.classifiers.rules.JRip.NominalAntd
Constructor
NominalAttributeInfo - Class in weka.core
Stores information for nominal and string attributes.
NominalAttributeInfo(List<String>, String) - Constructor for class weka.core.NominalAttributeInfo
Constructs the info based on argument.
nominalAttributesTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
nominalColsTipText() - Method in class weka.datagenerators.clusterers.SubspaceCluster
Returns the tip text for this property
NominalConditionalSufficientStats - Class in weka.classifiers.trees.ht
Maintains sufficient stats for the distribution of a nominal attribute
NominalConditionalSufficientStats() - Constructor for class weka.classifiers.trees.ht.NominalConditionalSufficientStats
 
nominalCounts - Variable in class weka.core.AttributeStats
Counts of each nominal value
nominalIndicesTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the tip text for this property
NominalItem - Class in weka.associations
Class that encapsulates a nominal item.
NominalItem(Attribute, int) - Constructor for class weka.associations.NominalItem
Constructs a new NominalItem.
nominalLabelSpecsTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
nominalLabelsTipText() - Method in class weka.filters.unsupervised.attribute.Add
Returns the tip text for this property.
NominalPrediction - Class in weka.classifiers.evaluation
Encapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value.
NominalPrediction(double, double[]) - Constructor for class weka.classifiers.evaluation.NominalPrediction
Creates the NominalPrediction object with a default weight of 1.0.
NominalPrediction(double, double[], double) - Constructor for class weka.classifiers.evaluation.NominalPrediction
Creates the NominalPrediction object.
nominalStringReplacementValueTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Tip text for this property suitable for displaying in the GUI.
NominalToBinary - Class in weka.filters.supervised.attribute
Converts all nominal attributes into binary numeric attributes.
NominalToBinary() - Constructor for class weka.filters.supervised.attribute.NominalToBinary
 
NominalToBinary - Class in weka.filters.unsupervised.attribute
Converts all nominal attributes into binary numeric attributes.
NominalToBinary() - Constructor for class weka.filters.unsupervised.attribute.NominalToBinary
Constructor - initialises the filter
nominalToBinaryFilterTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
NominalToString - Class in weka.filters.unsupervised.attribute
Converts a nominal attribute (i.e.
NominalToString() - Constructor for class weka.filters.unsupervised.attribute.NominalToString
 
nominalWeights - Variable in class weka.core.AttributeStats
Weight mass for each nominal value
NON_NUMERIC - Static variable in class weka.filters.unsupervised.attribute.InterquartileRange
indicator for non-numeric attributes
NONE - Static variable in interface weka.core.converters.Loader
The retrieval modes
NONE - Static variable in interface weka.core.converters.Saver
The retrieval modes
NONE - Static variable in class weka.gui.visualize.VisualizePanelEvent
No longer used
nonEmptyCanopySetIntersection(long[], long[]) - Static method in class weka.clusterers.Canopy
Tests if two sets of canopies have a non-empty intersection
NonSparseToSparse - Class in weka.filters.unsupervised.instance
An instance filter that converts all incoming instances into sparse format.
NonSparseToSparse() - Constructor for class weka.filters.unsupervised.instance.NonSparseToSparse
 
noPruningTipText() - Method in class weka.classifiers.trees.REPTree
Returns the tip text for this property
noReplacementTipText() - Method in class weka.filters.supervised.instance.Resample
Returns the tip text for this property.
noReplacementTipText() - Method in class weka.filters.unsupervised.instance.Resample
Returns the tip text for this property
norm() - Method in class weka.core.AlgVector
Returns the norm of the vector
norm1() - Method in class weka.core.matrix.DoubleVector
Returns the L1-norm of the vector
norm1() - Method in class weka.core.matrix.Matrix
One norm
norm2() - Method in class weka.core.matrix.DoubleVector
Returns the L2-norm of the vector
norm2() - Method in class weka.core.matrix.Matrix
Two norm
norm2() - Method in class weka.core.matrix.SingularValueDecomposition
Two norm
NORM_EXPECTED_COST_NAME - Static variable in class weka.classifiers.evaluation.CostCurve
attribute name: Normalized Expected Cost
NORMAL - Static variable in interface weka.gui.graphvisualizer.GraphConstants
NORMAL node - node actually contained in graphs description
normalDistribution - Static variable in class weka.core.matrix.Maths
Distribution type: noraml
NormalEstimator - Class in weka.estimators
Simple probability estimator that places a single normal distribution over the observed values.
NormalEstimator() - Constructor for class weka.estimators.NormalEstimator
No-arg constructor needed to make WEKA's forName() work.
NormalEstimator(double) - Constructor for class weka.estimators.NormalEstimator
Constructor that takes a precision argument.
normalInverse(double) - Static method in class weka.core.Statistics
Returns the value, x, for which the area under the Normal (Gaussian) probability density function (integrated from minus infinity to x) is equal to the argument y (assumes mean is zero, variance is one).
NormalizableDistance - Class in weka.core
Represents the abstract ancestor for normalizable distance functions, like Euclidean or Manhattan distance.
NormalizableDistance() - Constructor for class weka.core.NormalizableDistance
Invalidates the distance function, Instances must be still set.
NormalizableDistance(Instances) - Constructor for class weka.core.NormalizableDistance
Initializes the distance function and automatically initializes the ranges.
normalize() - Method in class weka.classifiers.CostMatrix
Normalizes the matrix so that the diagonal contains zeros.
normalize(double[]) - Static method in class weka.core.Utils
Normalizes the doubles in the array by their sum.
normalize(double[], double) - Static method in class weka.core.Utils
Normalizes the doubles in the array using the given value.
Normalize - Class in weka.filters.unsupervised.attribute
Normalizes all numeric values in the given dataset (apart from the class attribute, if set).
Normalize() - Constructor for class weka.filters.unsupervised.attribute.Normalize
 
normalizeAttributesTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
normalizeDimWidthsTipText() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Returns the tip text for this property.
normalizedKernel(char[], char[]) - Method in class weka.classifiers.functions.supportVector.StringKernel
evaluates the normalized kernel between s and t.
normalizeDocLengthTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property
normalizeDocLengthTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
normalizeDocLengthTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
normalizeDocLengthTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
NormalizedPolyKernel - Class in weka.classifiers.functions.supportVector
The normalized polynomial kernel.
K(x,y) = <x,y>/sqrt(<x,x><y,y>) where <x,y> = PolyKernel(x,y)

Valid options are:

NormalizedPolyKernel() - Constructor for class weka.classifiers.functions.supportVector.NormalizedPolyKernel
default constructor - does nothing
NormalizedPolyKernel(Instances, int, double, boolean) - Constructor for class weka.classifiers.functions.supportVector.NormalizedPolyKernel
Creates a new NormalizedPolyKernel instance.
normalizeNodeWidthTipText() - Method in class weka.core.neighboursearch.KDTree
Tip text for this property.
normalizeNumericClassTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
normalizeTipText() - Method in class weka.core.DictionaryBuilder
Tip text for this property
normalProbability(double) - Static method in class weka.core.Statistics
Returns the area under the Normal (Gaussian) probability density function, integrated from minus infinity to x (assumes mean is zero, variance is one).
NormContinuous - Class in weka.core.pmml.jaxbbindings
Java class for NormContinuous element declaration.
NormContinuous() - Constructor for class weka.core.pmml.jaxbbindings.NormContinuous
 
NormContinuous - Class in weka.core.pmml
Class encapsulating a NormContinuous Expression.
NormContinuous(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.NormContinuous
 
NormDiscrete - Class in weka.core.pmml.jaxbbindings
Java class for NormDiscrete element declaration.
NormDiscrete() - Constructor for class weka.core.pmml.jaxbbindings.NormDiscrete
 
NormDiscrete(String, String) - Constructor for class weka.core.pmml.jaxbbindings.NormDiscrete
 
NormDiscrete - Class in weka.core.pmml
Class encapsulating a NormDiscrete Expression.
NormDiscrete(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.NormDiscrete
Constructor.
normF() - Method in class weka.core.matrix.Matrix
Frobenius norm
normInf() - Method in class weka.core.matrix.Matrix
Infinity norm
normTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property
normTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
normVector() - Method in class weka.core.AlgVector
Norms this vector to length 1.0
NORTH_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
 
noSizeDeterminationTipText() - Method in class weka.experiment.ClassifierSplitEvaluator
Returns the tip text for this property
noSizeDeterminationTipText() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns the tip text for this property
noSizeDeterminationTipText() - Method in class weka.experiment.RegressionSplitEvaluator
Returns the tip text for this property
NoSplit - Class in weka.classifiers.trees.j48
Class implementing a "no-split"-split.
NoSplit(Distribution) - Constructor for class weka.classifiers.trees.j48.NoSplit
Creates "no-split"-split for given distribution.
NoSupportForMissingValuesException - Exception in weka.core
Exception that is raised by an object that is unable to process data with missing values.
NoSupportForMissingValuesException() - Constructor for exception weka.core.NoSupportForMissingValuesException
Creates a new NoSupportForMissingValuesException with no message.
NoSupportForMissingValuesException(String) - Constructor for exception weka.core.NoSupportForMissingValuesException
Creates a new NoSupportForMissingValuesException.
not(Node) - Static method in class weka.core.expressionlanguage.common.Operators
'!' or 'not' logical not operator
NOT - Static variable in interface weka.core.expressionlanguage.parser.sym
 
NOT_DRAWABLE - Static variable in interface weka.core.Drawable
 
notCoveredInstances() - Method in class weka.classifiers.trees.m5.Rule
Get the instances not covered by this rule
Note - Class in weka.gui.beans
Simple bean for displaying a textual note on the layout.
Note() - Constructor for class weka.gui.beans.Note
Constructor
Note - Class in weka.knowledgeflow.steps
A Knowledge Flow "step" that implements a note on the GUI layout
Note() - Constructor for class weka.knowledgeflow.steps.Note
 
NoteBeanInfo - Class in weka.gui.beans
Bean info class for the Note bean.
NoteBeanInfo() - Constructor for class weka.gui.beans.NoteBeanInfo
 
NoteCustomizer - Class in weka.gui.beans
Customizer for the note component.
NoteCustomizer() - Constructor for class weka.gui.beans.NoteCustomizer
Constructs a new note customizer
NoteEditorDialog - Class in weka.gui.knowledgeflow.steps
Editor dialog for Notes
NoteEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.NoteEditorDialog
 
NoteVisual - Class in weka.gui.knowledgeflow
Visual representation for the Note "step".
NoteVisual() - Constructor for class weka.gui.knowledgeflow.NoteVisual
 
notifyCallback(StepTaskCallback, StepTask, ExecutionResult) - Method in interface weka.knowledgeflow.CallbackNotifierDelegate
Notify the supplied callback
notifyCallback(StepTaskCallback, StepTask, ExecutionResult) - Method in class weka.knowledgeflow.DefaultCallbackNotifierDelegate
Notifies the callback immediately
notifyCallback(StepTaskCallback, StepTask, ExecutionResult) - Method in class weka.knowledgeflow.DelayedCallbackNotifierDelegate
Notify the callback.
notifyCapabilitiesFilterListener(Capabilities) - Method in class weka.gui.explorer.Explorer
notifies all the listeners of a change
notifyCapabilitiesFilterListeners(Capabilities) - Method in class weka.gui.WorkbenchApp
Notify filter capabilities listeners of changes
notifyIsDirty() - Method in class weka.gui.knowledgeflow.MainKFPerspective
 
notifyListener() - Method in class weka.gui.arffviewer.ArffPanel
notfies all listener of the change
notifyListener(TableModelEvent) - Method in class weka.gui.arffviewer.ArffSortedTableModel
notfies all listener of the change of the model
notifyListener(TableModelEvent) - Method in class weka.gui.arffviewer.ArffTableModel
notfies all listener of the change of the model
notifyNow() - Method in class weka.knowledgeflow.DelayedCallbackNotifierDelegate
Do the notification now
NotPersistable - Annotation Type in weka.knowledgeflow.steps
Annotation for properties that should not be persisted
NOTRUECHILDSTRATEGY - Enum in weka.core.pmml.jaxbbindings
Java class for NO-TRUE-CHILD-STRATEGY.
NoVariables - Class in weka.core.expressionlanguage.common
A variable declarations that contains no variables
NoVariables() - Constructor for class weka.core.expressionlanguage.common.NoVariables
 
nowVisible() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Called by the KnowledgeFlow application once the enclosing JFrame is visible
nowVisible() - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
Called by the KnowledgeFlow application once the enclosing JFrame is visible
nowVisible() - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
Called by the KnowledgeFlow application once the enclosing JFrame is visible
nrOfGoodOperationsTipText() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
 
nrOfLookAheadStepsTipText() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
 
Null - Class in weka.classifiers.evaluation.output.prediction
Suppresses all output.
Null() - Constructor for class weka.classifiers.evaluation.output.prediction.Null
 
NULL - Static variable in interface weka.core.json.sym
 
Null - Class in weka.core.stopwords
Dummy stopwords scheme, always returns false.
Null() - Constructor for class weka.core.stopwords.Null
 
NullStemmer - Class in weka.core.stemmers
A dummy stemmer that performs no stemming at all.
NullStemmer() - Constructor for class weka.core.stemmers.NullStemmer
 
NUM_DECIMAL_PLACES_DEFAULT - Static variable in class weka.classifiers.AbstractClassifier
The number of decimal places used when printing numbers in the model.
NUM_RAND_COLS - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
numAllConditions(Instances) - Static method in class weka.classifiers.rules.RuleStats
Compute the number of all possible conditions that could appear in a rule of a given data.
numArcsTipText() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Returns the tip text for this property
numArguments() - Method in class weka.core.Option
Returns the option's number of arguments.
numAttributes() - Method in class weka.core.DenseInstance
Returns the number of attributes.
numAttributes() - Method in interface weka.core.Instance
Returns the number of attributes.
numAttributes() - Method in class weka.core.Instances
Returns the number of attributes.
numAttributes() - Method in class weka.core.SparseInstance
Returns the number of attributes.
numAttributesTipText() - Method in class weka.datagenerators.classifiers.classification.BayesNet
Returns the tip text for this property
numAttributesTipText() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Returns the tip text for this property
numAttributesTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the tip text for this property
numAttributesTipText() - Method in class weka.datagenerators.ClusterGenerator
Returns the tip text for this property
numAttributesTipText() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Returns the tip text for this property.
numBags() - Method in class weka.classifiers.trees.j48.Distribution
Returns number of bags.
numberAttributesSelected() - Method in class weka.attributeSelection.AttributeSelection
Return the number of attributes selected from the most recent run of attribute selection
numberOfAttributesTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns the tip text for this property
numberOfClusters() - Method in class weka.clusterers.AbstractClusterer
Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.Canopy
 
numberOfClusters() - Method in interface weka.clusterers.Clusterer
Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.Cobweb
Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.EM
Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.FarthestFirst
Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.HierarchicalClusterer
 
numberOfClusters() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.SimpleKMeans
Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.SingleClustererEnhancer
Returns the number of clusters.
NumberOfClustersRequestable - Interface in weka.clusterers
Interface to a clusterer that can generate a requested number of clusters
numberOfLinearModels() - Method in class weka.classifiers.trees.m5.RuleNode
Get the number of linear models in the tree
numBinsTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns the tip text for this property
numBoostingIterationsTipText() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the tip text for this property
numBoostingIterationsTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
numBootstrapRunsToolTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
The tool tip for this property.
numBuiltinTemplates() - Method in class weka.gui.knowledgeflow.TemplateManager
Get the number of builtin KF templates available
numCacheHits() - Method in class weka.classifiers.functions.supportVector.CachedKernel
Returns the number of cache hits on dot products.
numCacheHits() - Method in class weka.classifiers.functions.supportVector.Kernel
Returns the number of dot product cache hits.
numCacheHits() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Returns the number of dot product cache hits.
numCacheHits() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the number of dot product cache hits.
numCentroidsTipText() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Returns the tip text for this property
numChildred() - Method in class weka.classifiers.trees.ht.SplitNode
Number of child nodes
numChildren() - Method in class weka.gui.HierarchyPropertyParser
The number of the children nodes.
numClassAttributeValues() - Method in class weka.classifiers.functions.SMO
 
numClasses() - Method in class weka.classifiers.trees.j48.Distribution
Returns number of classes.
numClasses() - Method in class weka.core.AbstractInstance
Returns the number of class labels.
numClasses() - Method in interface weka.core.Instance
Returns the number of class labels.
numClasses() - Method in class weka.core.Instances
Returns the number of class labels.
numClassesTipText() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Returns the tip text for this property
numClassesTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the tip text for this property
numClassified() - Method in class weka.classifiers.evaluation.Evaluation
Returns the number (really, weight) of instances that have been classified.
numClustersTipText() - Method in class weka.clusterers.Canopy
Returns the tip text for this property.
numClustersTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
numClustersTipText() - Method in class weka.clusterers.FarthestFirst
Returns the tip text for this property
numClustersTipText() - Method in class weka.clusterers.HierarchicalClusterer
 
numClustersTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
numClustersTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
numColumns() - Method in class weka.classifiers.CostMatrix
Same as size
numColumns() - Method in class weka.core.Matrix
Deprecated.
Returns the number of columns in the matrix.
numComponentsToolTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
The tool tip for this property.
numCorrect() - Method in class weka.classifiers.trees.j48.Distribution
Returns perClass(maxClass()).
numCorrect(int) - Method in class weka.classifiers.trees.j48.Distribution
Returns perClassPerBag(index,maxClass(index)).
numCyclesTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
numDecimalPlacesTipText() - Method in class weka.classifiers.AbstractClassifier
Returns the tip text for this property
numDecimalPlacesTipText() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the tip text for this property
numDecimalPlacesTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
numDecimalsTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the tip text for this property.
numDistinctValues(int) - Method in class weka.core.Instances
Returns the number of distinct values of a given attribute.
numDistinctValues(Attribute) - Method in class weka.core.Instances
Returns the number of distinct values of a given attribute.
numElements() - Method in class weka.classifiers.functions.supportVector.SMOset
Returns the number of elements in the set.
numElements() - Method in class weka.classifiers.meta.Bagging
Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.meta.FilteredClassifier
Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.meta.RandomCommittee
Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.trees.J48
Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.trees.RandomTree
Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.trees.REPTree
Returns the number of elements in the partition.
numElements() - Method in class weka.core.AlgVector
Returns the number of elements in the vector.
numElements() - Method in interface weka.core.PartitionGenerator
Returns the number of elements in the partition.
numEntriesInClassDistribution() - Method in class weka.classifiers.trees.ht.HNode
The size of the class distribution
NUMERIC - Static variable in class weka.core.Attribute
Constant set for numeric attributes.
NumericAntd(Attribute) - Constructor for class weka.classifiers.rules.JRip.NumericAntd
Constructor
numericAttributesTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
NumericCleaner - Class in weka.filters.unsupervised.attribute
A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value, and sets these values to a pre-defined default.
NumericCleaner() - Constructor for class weka.filters.unsupervised.attribute.NumericCleaner
 
NumericInfo - Class in weka.core.pmml.jaxbbindings
Java class for NumericInfo element declaration.
NumericInfo() - Constructor for class weka.core.pmml.jaxbbindings.NumericInfo
 
NumericItem - Class in weka.associations
Class that encapsulates a numeric item.
NumericItem(Attribute, double, NumericItem.Comparison) - Constructor for class weka.associations.NumericItem
Constructs a new NumericItem
NumericItem.Comparison - Enum in weka.associations
 
NumericPrediction - Class in weka.classifiers.evaluation
Encapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.
NumericPrediction(double, double) - Constructor for class weka.classifiers.evaluation.NumericPrediction
Creates the NumericPrediction object with a default weight of 1.0.
NumericPrediction(double, double, double) - Constructor for class weka.classifiers.evaluation.NumericPrediction
Creates the NumericPrediction object.
NumericPrediction(double, double, double, double[][]) - Constructor for class weka.classifiers.evaluation.NumericPrediction
Creates the NumericPrediction object.
NumericPredictor - Class in weka.core.pmml.jaxbbindings
Java class for NumericPredictor element declaration.
NumericPredictor() - Constructor for class weka.core.pmml.jaxbbindings.NumericPredictor
 
NumericPredictor(String, BigInteger, double) - Constructor for class weka.core.pmml.jaxbbindings.NumericPredictor
 
numericReplacementValueTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Tip text for this property suitable for displaying in the GUI.
numericStats - Variable in class weka.core.AttributeStats
Stats on numeric value distributions
numericTipText() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
 
NumericToBinary - Class in weka.filters.unsupervised.attribute
Converts all numeric attributes into binary attributes (apart from the class attribute, if set): if the value of the numeric attribute is exactly zero, the value of the new attribute will be zero.
NumericToBinary() - Constructor for class weka.filters.unsupervised.attribute.NumericToBinary
 
NumericToDate - Class in weka.filters.unsupervised.attribute
A filter for turning numeric attributes into date attributes.
NumericToDate() - Constructor for class weka.filters.unsupervised.attribute.NumericToDate
 
NumericToNominal - Class in weka.filters.unsupervised.attribute
A filter for turning numeric attributes into nominal ones.
NumericToNominal() - Constructor for class weka.filters.unsupervised.attribute.NumericToNominal
 
NumericTransform - Class in weka.filters.unsupervised.attribute
Transforms numeric attributes using a given transformation method.
NumericTransform() - Constructor for class weka.filters.unsupervised.attribute.NumericTransform
Default constructor -- sets the default transform method to java.lang.Math.abs().
numEvals() - Method in class weka.classifiers.functions.supportVector.CachedKernel
Returns the number of time Eval has been called.
numEvals() - Method in class weka.classifiers.functions.supportVector.Kernel
Returns the number of kernel evaluation performed.
numEvals() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Returns the number of kernel evaluation performed.
numEvals() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the number of kernel evaluation performed.
numExamplesTipText() - Method in class weka.datagenerators.ClassificationGenerator
Returns the tip text for this property
numExamplesTipText() - Method in class weka.datagenerators.RegressionGenerator
Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.attributeSelection.GreedyStepwise
 
numExecutionSlotsTipText() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property
numFalseNegatives(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate number (really, weight) of false negatives with respect to a particular class.
numFalseNegatives(int) - Method in class weka.classifiers.Evaluation
Calculate number of false negatives with respect to a particular class.
numFalsePositives(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the number (really, weight) of false positives with respect to a particular class.
numFalsePositives(int) - Method in class weka.classifiers.Evaluation
Calculate number of false positives with respect to a particular class.
numFeaturesTipText() - Method in class weka.classifiers.trees.RandomForest
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.meta.CVParameterSelection
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.meta.MultiScheme
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.meta.Stacking
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.trees.RandomTree
Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.trees.REPTree
Returns the tip text for this property
numFoldsTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
numFoldsTipText() - Method in class weka.experiment.CrossValidationResultProducer
Returns the tip text for this property
numFoldsTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Returns the tip text for this property
numFoldsTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Returns the tip text for this property
numFoldsTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns the tip text for this property
numIncomingConnections() - Method in interface weka.knowledgeflow.StepManager
Get the number of steps that are connected with incoming connections
numIncomingConnections() - Method in class weka.knowledgeflow.StepManagerImpl
Get the number of incoming connections to the managed step
numIncomingConnectionsOfType(String) - Method in interface weka.knowledgeflow.StepManager
Get the number of steps that are connected with the given incoming connection type
numIncomingConnectionsOfType(String) - Method in class weka.knowledgeflow.StepManagerImpl
Get the number of incoming connections to the managed step of a given type
numIncorrect() - Method in class weka.classifiers.trees.j48.Distribution
Returns total-numCorrect().
numIncorrect(int) - Method in class weka.classifiers.trees.j48.Distribution
Returns perBag(index)-numCorrect(index).
numInstances() - Method in class weka.classifiers.evaluation.Evaluation
Gets the number of test instances that had a known class value (actually the sum of the weights of test instances with known class value).
numInstances() - Method in class weka.classifiers.Evaluation
Gets the number of test instances that had a known class value (actually the sum of the weights of test instances with known class value).
numInstances() - Method in class weka.core.Instances
Returns the number of instances in the dataset.
numInstances() - Method in class weka.core.neighboursearch.balltrees.BallNode
Returns the number of instances in the hyper-spherical region of this node.
numInstances() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
Returns the number of Instances in the rectangular region defined by this node.
numIrrelevantTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the tip text for this property
numIterationsTipText() - Method in class weka.classifiers.functions.VotedPerceptron
Returns the tip text for this property
numIterationsTipText() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
Returns the tip text for this property
numIterationsTipText() - Method in class weka.classifiers.trees.RandomForest
Returns the tip text for the number of iterations.
numKMeansRunsTipText() - Method in class weka.clusterers.EM
Returns the tip text for this property
numLeaves() - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns number of leaves in tree structure.
numLeaves() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns the number of leaves (normal count).
numLeaves(int) - Method in class weka.classifiers.trees.m5.RuleNode
Sets the leaves' numbers
numNegatives(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the number (really, weight) of instances not in the given class.
numNeighboursTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns the tip text for this property
numNodes() - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns number of nodes in tree structure.
numNodes() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns the number of nodes.
numNodes() - Method in class weka.classifiers.trees.REPTree
Computes size of the tree.
numNonZero() - Method in class weka.core.pmml.SparseArray
Get the number of non-zero values in this sparse array
numNumericTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the tip text for this property
numOutgoingConnections() - Method in interface weka.knowledgeflow.StepManager
Get the number of steps that are connected with outgoing connections
numOutgoingConnections() - Method in class weka.knowledgeflow.StepManagerImpl
Get the number of outgoing connections from the managed step
numOutgoingConnectionsOfType(String) - Method in interface weka.knowledgeflow.StepManager
Get the number of steps that are connected with the given outgoing connection type
numOutgoingConnectionsOfType(String) - Method in class weka.knowledgeflow.StepManagerImpl
Get the number of outgoing connections from the managed step of a given type
numParameters() - Method in class weka.classifiers.functions.LinearRegression
Get the number of coefficients used in the model
numParameters() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
Return the number of parameters (coefficients) in the linear model
numPendingOutput() - Method in class weka.filters.Filter
Returns the number of instances pending output
numPendingOutput() - Method in class weka.filters.unsupervised.attribute.RemoveType
Returns the number of instances pending output
numPluginTemplates() - Method in class weka.gui.knowledgeflow.TemplateManager
Get the number of plugin KF templates available
numPositives(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the number (really, weight) of instances of the given class.
numPredictedNegatives(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the number (really, weight) of instances predicted not to be of the given class.
numPredictedPositives(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the number (really, weight) of instances predicted to be of the given class.
numRepositoryPackages() - Static method in class weka.core.WekaPackageManager
Get the number of packages that are available at the repository.
numResourcesForWithGroupID(String) - Static method in class weka.core.PluginManager
Get the number of resources available under a given resource group ID.
numResourcesForWithGroupID(String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Get the number of resources available under a given resource group ID.
numRows() - Method in class weka.classifiers.CostMatrix
Same as size
numRows() - Method in class weka.core.Matrix
Deprecated.
Returns the number of rows in the matrix.
numRules() - Method in class weka.classifiers.rules.part.MakeDecList
Outputs the number of rules in the classifier.
numRulesTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
numRulesToFindTipText() - Method in class weka.associations.FPGrowth
Tip text for this property suitable for displaying in the GUI.
numRunsTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
numSplits() - Method in class weka.classifiers.trees.ht.SplitCandidate
Number of branches resulting from the split
numSubsets() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Returns the number of created subsets for the split.
numTemplates() - Method in class weka.gui.knowledgeflow.TemplateManager
Get the total number of KF templates available
numThreadsTipText() - Method in class weka.attributeSelection.CfsSubsetEval
 
numThreadsTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
 
numThreadsTipText() - Method in class weka.classifiers.meta.LogitBoost
 
numToEvaluateInParallelTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
Tip text for this property.
numToSelectTipText() - Method in class weka.attributeSelection.GreedyStepwise
Returns the tip text for this property
numToSelectTipText() - Method in class weka.attributeSelection.Ranker
Returns the tip text for this property
numTrueNegatives(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the number (really, weight) of true negatives with respect to a particular class.
numTrueNegatives(int) - Method in class weka.classifiers.Evaluation
Calculate the number of true negatives with respect to a particular class.
numTruePositives(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the number (really, weight) of true positives with respect to a particular class.
numTruePositives(int) - Method in class weka.classifiers.Evaluation
Calculate the number of true positives with respect to a particular class.
numValues() - Method in class weka.core.Attribute
Returns the number of attribute values.
numValues() - Method in class weka.core.DenseInstance
Returns the number of values present.
numValues() - Method in interface weka.core.Instance
Returns the number of values present in a sparse representation.
numValues() - Method in class weka.core.pmml.Array
Get the number of values in this array.
numValues() - Method in class weka.core.pmml.SparseArray
Get the number of values in this array.
numValues() - Method in class weka.core.SparseInstance
Returns the number of values in the sparse vector.
numValuesTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns the tip text for this property

O

Obfuscate - Class in weka.filters.unsupervised.attribute
A simple instance filter that renames the relation, all attribute names and all nominal attribute values.
Obfuscate() - Constructor for class weka.filters.unsupervised.attribute.Obfuscate
 
ObjectCellRenderer() - Constructor for class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer
 
ObjectFactory - Class in weka.core.pmml.jaxbbindings
This object contains factory methods for each Java content interface and Java element interface generated in the weka.core.pmml.jaxbbindings package.
ObjectFactory() - Constructor for class weka.core.pmml.jaxbbindings.ObjectFactory
Create a new ObjectFactory that can be used to create new instances of schema derived classes for package: weka.core.pmml.jaxbbindings
objectForName(String) - Static method in class weka.core.WekaPackageClassLoaderManager
Return an instantiated instance of the supplied class name.
obtainVotes(Instance) - Method in class weka.classifiers.functions.SMO
Returns an array of votes for the given instance.
OFF - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
OFF - Static variable in class weka.core.Debug
the log level Off - i.e., no logging
OffscreenChartRenderer - Interface in weka.gui.beans
Interface to something that can render certain types of charts in headless mode.
okPressed() - Method in class weka.gui.knowledgeflow.steps.AttributeSummarizerStepEditorDialog
Called when OK is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.BlockStepEditorDialog
Called when OK is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterStepEditorDialog
Called when the OK button is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.ClassAssignerStepEditorDialog
Called when the OK button is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.ClassValuePickerStepEditorDialog
Called when the OK button is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.DataGridStepEditorDialog
Called when the OK button is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.DataVisualizerStepEditorDialog
Called when the OK button is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.JoinStepEditorDialog
Called when the OK button is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.NoteEditorDialog
Called when the OK button is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.SendToPerspectiveStepEditorDialog
Handle the OK button
okPressed() - Method in class weka.gui.knowledgeflow.steps.SorterStepEditorDialog
Called when the OK button is pressed
okPressed() - Method in class weka.gui.knowledgeflow.steps.StorePropertiesInEnvironmentStepEditorDialog
 
okToBeActive() - Method in class weka.gui.AbstractPerspective
Returns true if the perspective is usable at this time.
okToBeActive() - Method in class weka.gui.explorer.AssociationsPanel
 
okToBeActive() - Method in class weka.gui.explorer.AttributeSelectionPanel
 
okToBeActive() - Method in class weka.gui.explorer.ClassifierPanel
 
okToBeActive() - Method in class weka.gui.explorer.ClustererPanel
 
okToBeActive() - Method in class weka.gui.explorer.VisualizePanel
 
okToBeActive() - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
Returns true if this perspective is OK with being an active perspective - i.e.
okToBeActive() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Returns true if this perspective is OK with being an active perspective - i.e.
okToBeActive() - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
Can we be active (i.e.
okToBeActive() - Method in interface weka.gui.Perspective
Returns true if this perspective is OK with being an active perspective - i.e.
okToBeActive() - Method in class weka.gui.SimpleCLIPanel
 
oldEnt(Distribution) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
Computes entropy of distribution before splitting.
omegaTipText() - Method in class weka.classifiers.functions.supportVector.Puk
Returns the tip text for this property
ON - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
Some usefull constants
onDemandDirectoryTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
 
onDemandDirectoryTipText() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Returns the tip text for this property
OneR - Class in weka.classifiers.rules
Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes.
OneR() - Constructor for class weka.classifiers.rules.OneR
 
OneRAttributeEval - Class in weka.attributeSelection
OneRAttributeEval :

Evaluates the worth of an attribute by using the OneR classifier.

Valid options are:

OneRAttributeEval() - Constructor for class weka.attributeSelection.OneRAttributeEval
Constructor
onUnit(Graphics, int, int, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this function to determine if the point at x,y is on the unit.
open(File) - Method in class weka.gui.scripting.FileScriptingPanel
Opens the specified file.
open(File) - Method in class weka.gui.scripting.Script
Tries to open the file.
OPEN_DIALOG - Static variable in class weka.gui.knowledgeflow.KFGUIConsts
Constant for an open dialog (same as JFileChooser.OPEN_DIALOG)
openFrame(String) - Method in class weka.gui.ResultHistoryPanel
Opens the named result in a separate frame.
openURL(String) - Static method in class weka.gui.BrowserHelper
opens the URL in a browser.
openURL(Component, String) - Static method in class weka.gui.BrowserHelper
opens the URL in a browser.
openURL(Component, String, boolean) - Static method in class weka.gui.BrowserHelper
opens the URL in a browser.
Operators - Class in weka.core.expressionlanguage.common
A class to specify the semantics of operators in the expressionlanguage
Operators() - Constructor for class weka.core.expressionlanguage.common.Operators
 
Optimization - Class in weka.core
Implementation of Active-sets method with BFGS update to solve optimization problem with only bounds constraints in multi-dimensions.
Optimization() - Constructor for class weka.core.Optimization
 
optimizationsTipText() - Method in class weka.classifiers.rules.JRip
Returns the tip text for this property
optimize() - Method in class weka.classifiers.functions.supportVector.RegSMO
finds alpha and alpha* parameters that optimize the SVM target function
OptimumLiftGraph - Class in weka.core.pmml.jaxbbindings
Java class for OptimumLiftGraph element declaration.
OptimumLiftGraph() - Constructor for class weka.core.pmml.jaxbbindings.OptimumLiftGraph
 
Option - Class in weka.core
Class to store information about an option.
Option(String, String, int, String) - Constructor for class weka.core.Option
Creates new option with the given parameters.
OptionHandler - Interface in weka.core
Interface to something that understands options.
OPTIONHANDLER - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
OptionHandlerJavadoc - Class in weka.core
Generates Javadoc comments from the OptionHandler's options.
OptionHandlerJavadoc() - Constructor for class weka.core.OptionHandlerJavadoc
default constructor
OptionMetadata - Annotation Type in weka.core
Method annotation that can be used with scheme parameters to provide a nice display-ready name for the parameter, help information and command-line option details.
OPTIONS - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
OPTIONS_ENDTAG - Static variable in class weka.core.OptionHandlerJavadoc
the end comment tag for inserting the generated Javadoc
OPTIONS_STARTTAG - Static variable in class weka.core.OptionHandlerJavadoc
the start comment tag for inserting the generated Javadoc
optionsTipTextHTML() - Method in class weka.gui.beans.AbstractOffscreenChartRenderer
Gets a short list of additional options (if any), suitable for displaying in a tip text, in HTML form.
optionsTipTextHTML() - Method in interface weka.gui.beans.OffscreenChartRenderer
Gets a short list of additional options (if any), suitable for displaying in a tip text, in HTML form
optionsTipTextHTML() - Method in class weka.gui.beans.WekaOffscreenChartRenderer
Gets a short list of additional options (if any), suitable for displaying in a tip text, in HTML form
OPTYPE - Enum in weka.core.pmml.jaxbbindings
Java class for OPTYPE.
or(Capabilities) - Method in class weka.core.Capabilities
performs an OR conjunction with the capabilities of the given Capabilities object and updates itself
or(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'|' or 'or' logical or operator
OR - Static variable in interface weka.core.expressionlanguage.parser.sym
 
ORDERED - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
Constant set for input order (option O)
ordering() - Method in class weka.core.Attribute
Returns the ordering of the attribute.
ORDERING_MODULO - Static variable in class weka.core.Attribute
Constant set for modulo-ordered attributes.
ORDERING_ORDERED - Static variable in class weka.core.Attribute
Constant set for ordered attributes.
ORDERING_SYMBOLIC - Static variable in class weka.core.Attribute
Constant set for symbolic attributes.
orderTipText() - Method in class weka.core.MinkowskiDistance
Returns the tip text for this property.
ORDINAL_SUFFIXES - Static variable in class weka.core.Utils
Suffixes for ordinal representation of indices.
OrdinalToNumeric - Class in weka.filters.unsupervised.attribute
An attribute filter that converts ordinal nominal attributes into numeric ones

Valid options are:
OrdinalToNumeric() - Constructor for class weka.filters.unsupervised.attribute.OrdinalToNumeric
 
originalValue(double) - Method in class weka.filters.supervised.attribute.ClassOrder
Return the original internal class value given the randomized class value, i.e.
OS_ARCH_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for OS architecture.
OS_NAME_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for OS name.
osAndArchCheck(Package, PrintStream...) - Static method in class weka.core.WekaPackageManager
Checks the supplied package against the current OS and architecture.
OUT_OF_MEMORY_THRESHOLD - Static variable in class weka.core.Memory
 
outcomes - Variable in class weka.gui.graphvisualizer.GraphNode
The outcomes for the given node
outlierFactorTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the tip text for this property
OUTLIERTREATMENTMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for OUTLIER-TREATMENT-METHOD.
OUTPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection
This unit is an output unit.
Output - Class in weka.core.pmml.jaxbbindings
Java class for Output element declaration.
Output() - Constructor for class weka.core.pmml.jaxbbindings.Output
 
output() - Method in class weka.filters.Filter
Output an instance after filtering and remove from the output queue.
output() - Method in class weka.filters.unsupervised.attribute.RemoveType
Output an instance after filtering and remove from the output queue.
outputAdditionalStatsTipText() - Method in class weka.classifiers.functions.LinearRegression
Returns the tip text for this property.
outputAdditionalStatsTipText() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns the tip text for this property.
outputClassificationTipText() - Method in class weka.filters.supervised.attribute.AddClassification
Returns the tip text for this property.
outputData(String, Data) - Method in interface weka.knowledgeflow.StepManager
Output data to all steps connected with the supplied outgoing connection type.
outputData(Data...) - Method in interface weka.knowledgeflow.StepManager
Output one or more Data objects to all relevant steps.
outputData(String, String, Data) - Method in interface weka.knowledgeflow.StepManager
Output a single Data object to the named step with the supplied outgoing connection type
outputData(String, Data) - Method in class weka.knowledgeflow.StepManagerImpl
Output a Data object to all downstream connected Steps that are connected with the supplied connection name.
outputData(Data...) - Method in class weka.knowledgeflow.StepManagerImpl
Output one or more Data objects to all relevant steps.
outputData(String, String, Data) - Method in class weka.knowledgeflow.StepManagerImpl
Outputs the supplied Data object to the named Step.
outputDetailedInfoTipText() - Method in class weka.attributeSelection.CorrelationAttributeEval
Returns the tip text for this property
outputDistributionTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the tip text for this property.
outputDistributionTipText() - Method in class weka.filters.supervised.attribute.AddClassification
Returns the tip text for this property.
outputErrorFlagTipText() - Method in class weka.filters.supervised.attribute.AddClassification
Returns the tip text for this property.
OutputField - Class in weka.core.pmml.jaxbbindings
Java class for OutputField element declaration.
OutputField() - Constructor for class weka.core.pmml.jaxbbindings.OutputField
 
outputFileName() - Method in class weka.experiment.CSVResultListener
Get the value of OutputFileName.
outputFilenameTipText() - Method in class weka.core.converters.TextDirectoryLoader
the tip text for this property
outputFileTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the tip text for this property.
outputFileTipText() - Method in class weka.experiment.CrossValidationResultProducer
Returns the tip text for this property
outputFileTipText() - Method in class weka.experiment.CSVResultListener
Returns the tip text for this property
outputFileTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
outputFileTipText() - Method in class weka.experiment.RandomSplitResultProducer
Returns the tip text for this property
outputFormat() - Method in class weka.gui.streams.InstanceJoiner
Gets the format of the output instances.
outputFormat() - Method in class weka.gui.streams.InstanceLoader
 
outputFormat() - Method in interface weka.gui.streams.InstanceProducer
 
OutputFormatDialog - Class in weka.gui.experiment
A dialog for setting various output format parameters.
OutputFormatDialog(Frame) - Constructor for class weka.gui.experiment.OutputFormatDialog
initializes the dialog with the given parent frame.
outputItemSetsTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
OutputLogger - Class in weka.core.logging
A logger that logs all output on stdout and stderr to a file.
OutputLogger() - Constructor for class weka.core.logging.OutputLogger
 
OutputLogger.OutputPrintStream - Class in weka.core.logging
A print stream class to capture all data from stdout and stderr.
outputOffsetMultiplierTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Returns the tip text for this property
outputOutOfBagComplexityStatisticsTipText() - Method in class weka.classifiers.meta.Bagging
Returns the tip text for this property
outputPeek() - Method in class weka.filters.Filter
Output an instance after filtering but do not remove from the output queue.
outputPeek() - Method in class weka.filters.unsupervised.attribute.RemoveType
Output an instance after filtering but do not remove from the output queue.
outputPeek() - Method in class weka.gui.streams.InstanceJoiner
Output an instance after filtering but do not remove from the output queue.
outputPeek() - Method in class weka.gui.streams.InstanceLoader
 
outputPeek() - Method in interface weka.gui.streams.InstanceProducer
 
outputPerClassInfoRetrievalStatsTipText() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Return a tip text string for this property
outputPerClassInfoRetrievalStatsTipText() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Return a tip text string for this property
OutputPrintStream(OutputLogger, PrintStream) - Constructor for class weka.core.logging.OutputLogger.OutputPrintStream
Default constructor.
outputProbsForSVMTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
outputs(Vector<Object>, Integer...) - Static method in class weka.gui.beans.BeanConnection
Returns a vector of BeanInstances that can be considered as outputs (or the right-hand side of a sub-flow)
outputsContains(BeanInstance) - Method in class weka.gui.beans.MetaBean
 
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.Appender
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.Associator
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.BaseStep
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String, Environment) - Method in class weka.knowledgeflow.steps.BaseStep
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.ClassAssigner
Return the structure of data output by this step for a given incoming connection type
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.ClassValuePicker
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.DataGenerator
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.DataGrid
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Get, if possible, the outgoing instance structure for the supplied incoming connection type
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.Filter
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.FlowByExpression
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String, Environment) - Method in class weka.knowledgeflow.steps.Loader
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.SetVariables
 
outputStructureForConnectionType(String) - Method in interface weka.knowledgeflow.steps.Step
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String, Environment) - Method in interface weka.knowledgeflow.steps.Step
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.SubstringLabeler
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.SubstringReplacer
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.TestSetMaker
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.TrainingSetMaker
If possible, get the output structure for the named connection type as a header-only set of instances.
outputStructureForConnectionType(String) - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
If possible, get the output structure for the named connection type as a header-only set of instances.
outputTipText() - Method in class weka.datagenerators.DataGenerator
Returns the tip text for this property
outputTypeSet(int) - Method in class weka.core.Debug.DBO
Return true if the outputtype is set
outputValue(NeuralNode) - Method in class weka.classifiers.functions.neural.LinearUnit
This function calculates what the output value should be.
outputValue(boolean) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this to get the output value of this unit.
outputValue(NeuralNode) - Method in interface weka.classifiers.functions.neural.NeuralMethod
This function calculates what the output value should be.
outputValue(boolean) - Method in class weka.classifiers.functions.neural.NeuralNode
Call this to get the output value of this unit.
outputValue(NeuralNode) - Method in class weka.classifiers.functions.neural.SigmoidUnit
This function calculates what the output value should be.
outputWordCountsTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
outputWordCountsTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
OutputZipper - Class in weka.experiment
OutputZipper writes output to either gzipped files or to a multi entry zip file.
OutputZipper(File) - Constructor for class weka.experiment.OutputZipper
Constructor.
OVAL - Static variable in class weka.gui.visualize.VisualizePanelEvent
 

P

p(String) - Static method in class weka.core.Debug.DBO
prints out text.
p() - Method in class weka.core.neighboursearch.CoverTree.CoverTreeNode
Returns the instance represented by the node.
p1evl(double, double[], int) - Static method in class weka.core.Statistics
Evaluates the given polynomial of degree N at x.
Package - Class in weka.core.packageManagement
Abstract base class for Packages.
Package() - Constructor for class weka.core.packageManagement.Package
 
PACKAGE - Static variable in class weka.core.stemmers.SnowballStemmer
the package name for snowball.
PACKAGE_EXT - Static variable in class weka.core.stemmers.SnowballStemmer
the package name where the stemmers are located.
PackageConstraint - Class in weka.core.packageManagement
Abstract base class for package constraints.
PackageConstraint() - Constructor for class weka.core.packageManagement.PackageConstraint
 
PackageManager - Class in weka.core.packageManagement
Abstract base class for package managers.
PackageManager() - Constructor for class weka.core.packageManagement.PackageManager
 
PackageManager - Class in weka.gui
A GUI interface the the package management system.
PackageManager() - Constructor for class weka.gui.PackageManager
 
packages() - Method in class weka.core.ClassCache
Returns all the stored packages.
PACKAGES_DIR - Static variable in class weka.core.WekaPackageManager
The default packages directory
pad(String, String, int, boolean) - Static method in class weka.core.pmml.PMMLUtils
Utility method to left or right pad strings with arbitrary characters.
padLeft(String, int) - Static method in class weka.core.Utils
Pads a string to a specified length, inserting spaces on the left as required.
padLeftAndAllowOverflow(String, int) - Static method in class weka.core.Utils
Pads a string to a specified length, inserting spaces on the left as required.
padRight(String, int) - Static method in class weka.core.Utils
Pads a string to a specified length, inserting spaces on the right as required.
padRightAndAllowOverflow(String, int) - Static method in class weka.core.Utils
Pads a string to a specified length, inserting spaces on the right as required.
PAGE_HEADER - Static variable in class weka.gui.PackageManager
 
paint(Graphics) - Method in class weka.gui.ETable
Paints empty rows too, after letting the UI delegate do its painting.
paint(Graphics) - Method in class weka.gui.SplashWindow
Paints the image on the window.
paintBorder(Component, Graphics, int, int, int, int) - Method in class weka.gui.beans.ShadowBorder
Paints the drop shadow border around the given component.
paintBorder(Component, Graphics, int, int, int, int) - Method in class weka.gui.knowledgeflow.ShadowBorder
Paints the drop shadow border around the given component.
paintComponent(Graphics) - Method in class weka.gui.AttributeVisualizationPanel
Paints this component
paintComponent(Graphics) - Method in class weka.gui.beans.BeanVisual
 
paintComponent(Graphics) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
Updates the screen contents.
paintComponent(Graphics) - Method in class weka.gui.knowledgeflow.LayoutPanel
 
paintComponent(Graphics) - Method in class weka.gui.knowledgeflow.NoteVisual
 
paintComponent(Graphics) - Method in class weka.gui.knowledgeflow.StepVisual
 
paintComponent(Graphics) - Method in class weka.gui.Main.BackgroundDesktopPane
draws the background image.
paintComponent(Graphics) - Method in class weka.gui.MemoryUsagePanel
draws the background image.
paintComponent(Graphics) - Method in class weka.gui.PropertyPanel
Paints the component, using the property editor's paint method.
paintComponent(Graphics) - Method in class weka.gui.treevisualizer.TreeVisualizer
Updates the screen contents.
paintComponent(Graphics) - Method in class weka.gui.visualize.ClassPanel
Renders this component
paintComponent(Graphics) - Method in class weka.gui.visualize.Plot2D
Renders this component
paintConnections(Graphics, Integer...) - Static method in class weka.gui.beans.BeanConnection
Renders the connections and their names on the supplied graphics context
paintLabels(Graphics, Integer...) - Static method in class weka.gui.beans.BeanInstance
Renders the textual labels for the beans.
paintValue(Graphics, Rectangle) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
paintValue(Graphics, Rectangle) - Method in class weka.gui.ColorEditor
Paint our current color into the supplied bounding box
paintValue(Graphics, Rectangle) - Method in class weka.gui.CostMatrixEditor
Paints a graphical representation of the object.
paintValue(Graphics, Rectangle) - Method in class weka.gui.EnvironmentField
 
paintValue(Graphics, Rectangle) - Method in class weka.gui.FileEditor
Paints a representation of the current Object.
paintValue(Graphics, Rectangle) - Method in class weka.gui.GenericArrayEditor
Paints a representation of the current classifier.
paintValue(Graphics, Rectangle) - Method in class weka.gui.GenericObjectEditor
Paints a representation of the current Object.
paintValue(Graphics, Rectangle) - Method in class weka.gui.PasswordField
 
paintValue(Graphics, Rectangle) - Method in class weka.gui.SimpleDateFormatEditor
Paints a graphical representation of the object.
PairCounts - Class in weka.core.pmml.jaxbbindings
Java class for PairCounts element declaration.
PairCounts() - Constructor for class weka.core.pmml.jaxbbindings.PairCounts
 
PairedCorrectedTTester - Class in weka.experiment
Behaves the same as PairedTTester, only it uses the corrected resampled t-test statistic.
PairedCorrectedTTester() - Constructor for class weka.experiment.PairedCorrectedTTester
 
PairedDataHelper<P> - Class in weka.knowledgeflow.steps
A helper class that Step implementations can use when processing paired data (e.g.
PairedDataHelper(Step, PairedDataHelper.PairedProcessor, String, String) - Constructor for class weka.knowledgeflow.steps.PairedDataHelper
Constructor
PairedDataHelper.PairedProcessor<P> - Interface in weka.knowledgeflow.steps
Interface for processors of paired data to implement.
PairedStats - Class in weka.experiment
A class for storing stats on a paired comparison (t-test and correlation)
PairedStats(double) - Constructor for class weka.experiment.PairedStats
Creates a new PairedStats object with the supplied significance level.
PairedStatsCorrected - Class in weka.experiment
A class for storing stats on a paired comparison.
PairedStatsCorrected(double, double) - Constructor for class weka.experiment.PairedStatsCorrected
Creates a new PairedStatsCorrected object with the supplied significance level and train/test ratio.
PairedTTester - Class in weka.experiment
Calculates T-Test statistics on data stored in a set of instances.
PairedTTester() - Constructor for class weka.experiment.PairedTTester
 
pairwiseCoupling(double[][], double[][]) - Static method in class weka.classifiers.meta.MultiClassClassifier
Implements pairwise coupling.
ParallelIteratedSingleClassifierEnhancer - Class in weka.classifiers
Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner.
ParallelIteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
 
ParallelMultipleClassifiersCombiner - Class in weka.classifiers
Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple classifiers.
ParallelMultipleClassifiersCombiner() - Constructor for class weka.classifiers.ParallelMultipleClassifiersCombiner
 
Parameter - Class in weka.core.pmml.jaxbbindings
Java class for Parameter element declaration.
Parameter() - Constructor for class weka.core.pmml.jaxbbindings.Parameter
 
ParameterField - Class in weka.core.pmml.jaxbbindings
Java class for ParameterField element declaration.
ParameterField() - Constructor for class weka.core.pmml.jaxbbindings.ParameterField
 
ParameterList - Class in weka.core.pmml.jaxbbindings
Java class for ParameterList element declaration.
ParameterList() - Constructor for class weka.core.pmml.jaxbbindings.ParameterList
 
ParamMatrix - Class in weka.core.pmml.jaxbbindings
Java class for ParamMatrix element declaration.
ParamMatrix() - Constructor for class weka.core.pmml.jaxbbindings.ParamMatrix
 
parentClass - Variable in class weka.experiment.PropertyNode
The class of the object with this property
parentNode() - Method in class weka.classifiers.trees.m5.RuleNode
Get the parent of this node
ParentSet - Class in weka.classifiers.bayes.net
Helper class for Bayes Network classifiers.
ParentSet() - Constructor for class weka.classifiers.bayes.net.ParentSet
default constructor
ParentSet(int) - Constructor for class weka.classifiers.bayes.net.ParentSet
constructor
ParentSet(ParentSet) - Constructor for class weka.classifiers.bayes.net.ParentSet
copy constructor
parentTipText() - Method in class weka.datagenerators.ClusterDefinition
Returns the tip text for this property
parentValue() - Method in class weka.gui.HierarchyPropertyParser
The value in the parent node.
parse(String, VariableDeclarations, MacroDeclarations) - Static method in class weka.core.expressionlanguage.parser.Parser
Tries to parse and compile a program from the textual representation in expr while exposing the variables and marcos
parse() - Method in class weka.gui.graphvisualizer.BIFParser
This method parses the string or the InputStream that we passed in through the constructor and builds up the m_nodes and m_edges vectors
parse() - Method in class weka.gui.graphvisualizer.DotParser
This method parses the string or the InputStream that we passed in through the constructor and builds up the m_nodes and m_edges vectors
parseDate(String) - Method in class weka.core.Attribute
Parses the given String as Date, according to the current format and returns the corresponding amount of milliseconds.
parseFromInternal(String) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
 
parseMatlab(String) - Static method in class weka.classifiers.CostMatrix
creates a matrix from the given Matlab string.
parseMatlab(String) - Static method in class weka.core.matrix.Matrix
creates a matrix from the given Matlab string.
parseMatlab(String) - Static method in class weka.core.Matrix
Deprecated.
creates a matrix from the given Matlab string.
parsePath(String) - Static method in class weka.core.PropertyPath.Path
returns a path object based on the given path string
Parser - Class in weka.core.expressionlanguage.parser
CUP v0.11b 20160615 (GIT 4ac7450) generated parser.
Parser() - Constructor for class weka.core.expressionlanguage.parser.Parser
Deprecated.
Parser(Scanner) - Constructor for class weka.core.expressionlanguage.parser.Parser
Deprecated.
Parser(Scanner, SymbolFactory) - Constructor for class weka.core.expressionlanguage.parser.Parser
Constructor which sets the default scanner.
Parser - Class in weka.core.json
CUP v0.11b 20160615 (GIT 4ac7450) generated parser.
Parser() - Constructor for class weka.core.json.Parser
Deprecated.
Parser(Scanner) - Constructor for class weka.core.json.Parser
Deprecated.
Parser(Scanner, SymbolFactory) - Constructor for class weka.core.json.Parser
Constructor which sets the default scanner.
PART - Class in weka.classifiers.rules
Class for generating a PART decision list.
PART() - Constructor for class weka.classifiers.rules.PART
 
partition(Instances, int) - Static method in class weka.classifiers.rules.RuleStats
Patition the data into 2, first of which has (numFolds-1)/numFolds of the data and the second has 1/numFolds of the data
Partition - Class in weka.core.pmml.jaxbbindings
Java class for Partition element declaration.
Partition() - Constructor for class weka.core.pmml.jaxbbindings.Partition
 
PartitionedMultiFilter - Class in weka.filters.unsupervised.attribute
A filter that applies filters on subsets of attributes and assembles the output into a new dataset.
PartitionedMultiFilter() - Constructor for class weka.filters.unsupervised.attribute.PartitionedMultiFilter
 
PartitionFieldStats - Class in weka.core.pmml.jaxbbindings
Java class for PartitionFieldStats element declaration.
PartitionFieldStats() - Constructor for class weka.core.pmml.jaxbbindings.PartitionFieldStats
 
PartitionGenerator - Interface in weka.core
This interface can be implemented by algorithms that generate a partition of the instance space (e.g., decision trees).
partitionGeneratorTipText() - Method in class weka.filters.supervised.attribute.PartitionMembership
Returns a description of this option suitable for display as a tip text in the gui.
PartitionMembership - Class in weka.filters.supervised.attribute
* A filter that uses a PartitionGenerator to generate partition membership values; filtered instances are composed of these values plus the class attribute (if set in the input data) and rendered as sparse instances.
PartitionMembership() - Constructor for class weka.filters.supervised.attribute.PartitionMembership
 
partitionOptions(String[]) - Static method in class weka.classifiers.bayes.BayesNet
Returns the secondary set of options (if any) contained in the supplied options array.
partitionOptions(String[]) - Static method in class weka.core.Utils
Returns the secondary set of options (if any) contained in the supplied options array.
passesTest(Instance) - Method in class weka.datagenerators.Test
Determines whether an instance passes the test.
PasswordField - Class in weka.gui
Property editor widget that wraps and displays a JPasswordField.
PasswordField() - Constructor for class weka.gui.PasswordField
 
PasswordField(String) - Constructor for class weka.gui.PasswordField
 
PasswordProperty - Annotation Type in weka.gui
Method annotation that can be used to indicate that a property is a password.
passwordTipText() - Method in class weka.core.converters.DatabaseLoader
the tip text for this property
passwordTipText() - Method in class weka.core.converters.DatabaseSaver
Returns the tip text for this property.
passwordTipText() - Method in class weka.experiment.DatabaseUtils
Returns the tip text for this property.
paste(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Apply paste operation with XMLBIF fragment.
Path(String) - Constructor for class weka.core.PropertyPath.Path
uses the given dot-path
Path(Vector<PropertyPath.PathElement>) - Constructor for class weka.core.PropertyPath.Path
uses the vector with PathElement objects to initialize with
Path(String[]) - Constructor for class weka.core.PropertyPath.Path
uses the given array as elements for the path
PathElement(String) - Constructor for class weka.core.PropertyPath.PathElement
initializes the path element with the given property
pattern(int, int) - Static method in class weka.core.matrix.FloatingPointFormat
 
patternTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
Returns the tip text for this property
PCell - Class in weka.core.pmml.jaxbbindings
Java class for PCell element declaration.
PCell() - Constructor for class weka.core.pmml.jaxbbindings.PCell
 
PCell(String, String, BigInteger, double) - Constructor for class weka.core.pmml.jaxbbindings.PCell
 
pchisq(double) - Static method in class weka.core.matrix.Maths
Returns the cumulative probability of the Chi-squared distribution
pchisq(double, double) - Static method in class weka.core.matrix.Maths
Returns the cumulative probability of the noncentral Chi-squared distribution.
pchisq(double, DoubleVector) - Static method in class weka.core.matrix.Maths
Returns the cumulative probability of a set of noncentral Chi-squared distributions.
PCovCell - Class in weka.core.pmml.jaxbbindings
Java class for PCovCell element declaration.
PCovCell() - Constructor for class weka.core.pmml.jaxbbindings.PCovCell
 
PCovMatrix - Class in weka.core.pmml.jaxbbindings
Java class for PCovMatrix element declaration.
PCovMatrix() - Constructor for class weka.core.pmml.jaxbbindings.PCovMatrix
 
pctCorrect() - Method in class weka.classifiers.evaluation.Evaluation
Gets the percentage of instances correctly classified (that is, for which a correct prediction was made).
pctCorrect() - Method in class weka.classifiers.Evaluation
Gets the percentage of instances correctly classified (that is, for which a correct prediction was made).
pctIncorrect() - Method in class weka.classifiers.evaluation.Evaluation
Gets the percentage of instances incorrectly classified (that is, for which an incorrect prediction was made).
pctIncorrect() - Method in class weka.classifiers.Evaluation
Gets the percentage of instances incorrectly classified (that is, for which an incorrect prediction was made).
pctUnclassified() - Method in class weka.classifiers.evaluation.Evaluation
Gets the percentage of instances not classified (that is, for which no prediction was made by the classifier).
pctUnclassified() - Method in class weka.classifiers.Evaluation
Gets the percentage of instances not classified (that is, for which no prediction was made by the classifier).
peek() - Method in class weka.core.Queue
Gets object from the front of the queue.
PENTAHO_IMAGE1 - Static variable in class weka.core.RepositoryIndexGenerator
 
PENTAHO_IMAGE2 - Static variable in class weka.core.RepositoryIndexGenerator
 
perBag(int) - Method in class weka.classifiers.trees.j48.Distribution
Returns number of (possibly fractional) instances in given bag.
percentageTipText() - Method in class weka.filters.unsupervised.instance.RemovePercentage
Returns the tip text for this property
percentAttributesUsed() - Method in class weka.classifiers.trees.lmt.LogisticBase
Returns the fraction of all attributes in the data that are used in the logistic model (in percent).
percentTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
Returns the tip text for this property
percentTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns the tip text for this property
perClass(int) - Method in class weka.classifiers.trees.j48.Distribution
Returns number of (possibly fractional) instances of given class.
perClassPerBag(int, int) - Method in class weka.classifiers.trees.j48.Distribution
Returns number of (possibly fractional) instances of given class in given bag.
PerformanceStats - Class in weka.core.neighboursearch
The class that measures the performance of a nearest neighbour search (NNS) algorithm.
PerformanceStats() - Constructor for class weka.core.neighboursearch.PerformanceStats
default constructor.
performCommand(Object...) - Method in class weka.gui.knowledgeflow.AbstractGraphicalCommand
Perform the command
performCommand(Object...) - Method in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
Execute the command
performCommand(String, Object...) - Method in interface weka.gui.knowledgeflow.GraphicalEnvironmentCommandHandler
Attempt to perform a graphical command (if supported) in the current graphical environment
performCommand(String, Object...) - Method in class weka.gui.knowledgeflow.KFGraphicalEnvironmentCommandHandler
Perform a command
performCommand(Object...) - Method in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
Execute the command
performRequest(String) - Method in class weka.gui.beans.Associator
Perform a particular request
performRequest(String) - Method in class weka.gui.beans.AttributeSummarizer
Perform a named user request
performRequest(String) - Method in class weka.gui.beans.Classifier
Perform a particular request
performRequest(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Perform the named request
performRequest(String) - Method in class weka.gui.beans.Clusterer
Perform a particular request
performRequest(String) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Perform the named request
performRequest(String) - Method in class weka.gui.beans.CostBenefitAnalysis
 
performRequest(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
Perform the named request
performRequest(String) - Method in class weka.gui.beans.DataVisualizer
Describe performRequest method here.
performRequest(String) - Method in class weka.gui.beans.Filter
Perform the named request
performRequest(String) - Method in class weka.gui.beans.GraphViewer
Perform the named request
performRequest(String) - Method in class weka.gui.beans.ImageViewer
 
performRequest(String) - Method in class weka.gui.beans.MetaBean
Perform a particular request
performRequest(String) - Method in class weka.gui.beans.ModelPerformanceChart
Describe performRequest method here.
performRequest(String) - Method in class weka.gui.beans.ScatterPlotMatrix
Perform a named user request
performRequest(String) - Method in class weka.gui.beans.StripChart
Describe performRequest method here.
performRequest(String) - Method in class weka.gui.beans.TextViewer
Perform the named request
performRequest(String) - Method in class weka.gui.beans.TrainTestSplitMaker
Perform the named request
performRequest(String) - Method in interface weka.gui.beans.UserRequestAcceptor
Perform the named request
periodicPruningRateTipText() - Method in class weka.clusterers.Canopy
Returns the tip text for this property.
periodicPruningTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property
periodicPruningTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
periodicPruningTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
periodicPruningTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
Perspective - Interface in weka.gui
Interface for GUI elements that can appear as a perspective in a GUIApplication.
PERSPECTIVE_INTERFACE - Static variable in class weka.gui.PerspectiveManager
Interface name of perspectives
PerspectiveInfo - Annotation Type in weka.gui
 
PerspectiveManager - Class in weka.gui
Manages perspectives and the main menu bar (if visible), holds the currently selected perspective, and implements the perspective button bar.
PerspectiveManager(GUIApplication, String...) - Constructor for class weka.gui.PerspectiveManager
Constructor
PerspectiveManager(GUIApplication, String[], String[]) - Constructor for class weka.gui.PerspectiveManager
Constructor
PerspectiveManager.SelectedPerspectivePreferences - Class in weka.gui
Class to manage user preferences with respect to visible perspectives and whether the perspectives toolbar is always hidden or is visible on application startup
perspectiveToolBarIsVisible() - Method in class weka.gui.PerspectiveManager
Returns true if the perspective toolbar is visible
perturbationFractionTipText() - Method in class weka.datagenerators.classifiers.classification.Agrawal
Returns the tip text for this property
phaseIID(int, int[][]) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
See Sugiyama et al.
phaseIIU(int, int[][]) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
See Sugiyama et al.
phaseIU(int, int[][]) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
See Sugiyama et al.
PI - Static variable in class weka.core.xml.XMLDocument
the parsing instructions "<?xml version=\"1.0\" encoding=\"utf-8\"?>" (may not show up in Javadoc due to tags!).
PKIDiscretize - Class in weka.filters.unsupervised.attribute
Discretizes numeric attributes using equal frequency binning and forces the number of bins to be equal to the square root of the number of values of the numeric attribute.

For more information, see:

Ying Yang, Geoffrey I.
PKIDiscretize() - Constructor for class weka.filters.unsupervised.attribute.PKIDiscretize
 
place(Node) - Method in interface weka.gui.treevisualizer.NodePlace
The function to call to postion the tree that starts at Node r
place(Node) - Method in class weka.gui.treevisualizer.PlaceNode1
Call this function to have each node in the tree starting at 'r' placed in a visual (not logical, they already are) tree position.
place(Node) - Method in class weka.gui.treevisualizer.PlaceNode2
The Funtion to call to have the nodes arranged.
PlaceNode1 - Class in weka.gui.treevisualizer
This class will place the Nodes of a tree.
PlaceNode1() - Constructor for class weka.gui.treevisualizer.PlaceNode1
 
PlaceNode2 - Class in weka.gui.treevisualizer
This class will place the Nodes of a tree.
PlaceNode2() - Constructor for class weka.gui.treevisualizer.PlaceNode2
 
PlainText - Class in weka.classifiers.evaluation.output.prediction
Outputs the predictions in plain text.
PlainText() - Constructor for class weka.classifiers.evaluation.output.prediction.PlainText
 
PLAINTEXT_ENDTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
the end comment tag for inserting the generated BibTex
PLAINTEXT_STARTTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
the start comment tag for inserting the generated BibTex
pln(String) - Static method in class weka.core.Debug.DBO
prints out text + endofline.
Plot2D - Class in weka.gui.visualize
This class plots datasets in two dimensions.
Plot2D() - Constructor for class weka.gui.visualize.Plot2D
Constructor
Plot2DCompanion - Interface in weka.gui.visualize
Interface for classes that need to draw to the Plot2D panel *before* Plot2D renders anything (eg.
PLOT_SIZE - Static variable in class weka.gui.explorer.VisualizePanel.ScatterDefaults
 
PLOT_SIZE_KEY - Static variable in class weka.gui.explorer.VisualizePanel.ScatterDefaults
 
PlotData2D - Class in weka.gui.visualize
This class is a container for plottable data.
PlotData2D(Instances) - Constructor for class weka.gui.visualize.PlotData2D
Construct a new PlotData2D using the supplied instances
plotTrainingData() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Render the training points on-screen.
plotTrainingData() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Plots the training data on-screen.
plotTrainingData(Instances) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
 
PluginManager - Class in weka.core
Class that manages a global map of plugins.
PluginManager() - Constructor for class weka.core.PluginManager
 
PluginManager - Class in weka.gui.beans
Deprecated.
Use weka.core.PluginManager instead
PluginManager() - Constructor for class weka.gui.beans.PluginManager
Deprecated.
 
pluginRegistered(String, String) - Static method in class weka.core.PluginManager
Checks if a named plugin exists in the map of registered plugins
PLURAL_DUMMY - Static variable in interface weka.gui.graphvisualizer.GraphConstants
PLURAL_DUMMY node - node with more than one outgoing edge i.e.
plus(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'+' plus operator
PLUS - Static variable in interface weka.core.expressionlanguage.parser.sym
 
plus(double) - Method in class weka.core.matrix.DoubleVector
Adds a value to all the elements
plus(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Adds another vector element by element
plus(Matrix) - Method in class weka.core.matrix.Matrix
C = A + B
PLUS_SHAPE - Static variable in class weka.gui.visualize.Plot2D
 
plusEquals(double) - Method in class weka.core.matrix.DoubleVector
Adds a value to all the elements in place
plusEquals(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Adds another vector in place element by element
plusEquals(Matrix) - Method in class weka.core.matrix.Matrix
A = A + B
pmiss - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
transformation probability to missing value
PMML - Class in weka.core.pmml.jaxbbindings
Java class for PMML element declaration.
PMML() - Constructor for class weka.core.pmml.jaxbbindings.PMML
 
PMML_FILE_EXTENSION - Static variable in class weka.gui.explorer.ClassifierPanel
The filename extension that should be used for PMML xml files.
PMML_VERSION - Static variable in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
PMML version that the jaxbbindings were created from
PMMLClassifier - Class in weka.classifiers.pmml.consumer
Abstract base class for all PMML classifiers.
PMMLFactory - Class in weka.core.pmml
This class is a factory class for reading/writing PMML models
PMMLFactory() - Constructor for class weka.core.pmml.PMMLFactory
 
PMMLModel - Interface in weka.core.pmml
Interface for all PMML models
PMMLProducer - Interface in weka.core.pmml
Interface to something that can produce a PMML representation of itself.
PMMLUtils - Class in weka.core.pmml
Utility routines.
PMMLUtils() - Constructor for class weka.core.pmml.PMMLUtils
 
PNGWriter - Class in weka.gui.visualize
This class takes any JComponent and outputs it to a PNG-file.
PNGWriter() - Constructor for class weka.gui.visualize.PNGWriter
initializes the object.
PNGWriter(JComponent) - Constructor for class weka.gui.visualize.PNGWriter
initializes the object with the given Component.
PNGWriter(JComponent, File) - Constructor for class weka.gui.visualize.PNGWriter
initializes the object with the given Component and filename.
pnorm(double) - Static method in class weka.core.matrix.Maths
Returns the cumulative probability of the standard normal.
pnorm(double, double, double) - Static method in class weka.core.matrix.Maths
Returns the cumulative probability of a normal distribution.
pnorm(double, DoubleVector, double) - Static method in class weka.core.matrix.Maths
Returns the cumulative probability of a set of normal distributions with different means.
POINT - Static variable in class weka.core.Version
point revision
POINT_SIZE - Static variable in class weka.gui.explorer.VisualizePanel.ScatterDefaults
 
POINT_SIZE_KEY - Static variable in class weka.gui.explorer.VisualizePanel.ScatterDefaults
 
PointsClosestToFurthestChildren - Class in weka.core.neighboursearch.balltrees
Implements the Moore's method to split a node of a ball tree.

For more information please see section 2 of the 1st and 3.2.3 of the 2nd:

Andrew W.
PointsClosestToFurthestChildren() - Constructor for class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
Constructor.
PointsClosestToFurthestChildren(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
Constructor.
PoissonDistribution - Class in weka.core.pmml.jaxbbindings
Java class for PoissonDistribution element declaration.
PoissonDistribution() - Constructor for class weka.core.pmml.jaxbbindings.PoissonDistribution
 
PoissonEstimator - Class in weka.estimators
Simple probability estimator that places a single Poisson distribution over the observed values.
PoissonEstimator() - Constructor for class weka.estimators.PoissonEstimator
 
polevl(double, double[], int) - Static method in class weka.core.Statistics
Evaluates the given polynomial of degree N at x.
POLYGON - Static variable in class weka.gui.visualize.VisualizePanelEvent
 
PolyKernel - Class in weka.classifiers.functions.supportVector
The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p

Valid options are:

PolyKernel() - Constructor for class weka.classifiers.functions.supportVector.PolyKernel
default constructor - does nothing.
PolyKernel(Instances, int, double, boolean) - Constructor for class weka.classifiers.functions.supportVector.PolyKernel
Creates a new PolyKernel instance.
PolynomialKernelType - Class in weka.core.pmml.jaxbbindings
Java class for PolynomialKernelType element declaration.
PolynomialKernelType() - Constructor for class weka.core.pmml.jaxbbindings.PolynomialKernelType
 
poolSizeTipText() - Method in class weka.attributeSelection.CfsSubsetEval
 
poolSizeTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
 
poolSizeTipText() - Method in class weka.classifiers.meta.LogitBoost
 
pop() - Method in class weka.core.neighboursearch.covertrees.Stack
Pops (removes) the first (last added) element in the stack.
pop() - Method in class weka.core.Queue
Pops an object from the front of the queue.
populationSizeTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
populationSizeTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
position() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
Returns the position of the split in the sorted values.
position() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
Returns the position of the split in the sorted values.
position() - Method in class weka.classifiers.trees.m5.YongSplitInfo
Returns the position of the split in the sorted values.
positiveIndexTipText() - Method in class weka.associations.FPGrowth
Tip text for this property suitable for displaying in the GUI.
postExecution() - Method in class weka.associations.AbstractAssociator
Perform any teardown stuff that might need to happen after execution.
postExecution() - Method in class weka.attributeSelection.ASEvaluation
Perform any teardown stuff that might need to happen after execution.
postExecution() - Method in class weka.classifiers.AbstractClassifier
Perform any teardown stuff that might need to happen after execution.
postExecution() - Method in class weka.classifiers.meta.Stacking
 
postExecution() - Method in class weka.classifiers.MultipleClassifiersCombiner
 
postExecution() - Method in class weka.classifiers.SingleClassifierEnhancer
 
postExecution() - Method in class weka.clusterers.AbstractClusterer
Perform any teardown stuff that might need to happen after execution.
postExecution() - Method in interface weka.core.CommandlineRunnable
Perform any teardown stuff that might need to happen after execution.
postExecution() - Method in class weka.core.converters.TextDirectoryLoader
Perform any teardown stuff that might need to happen after execution.
postExecution() - Method in class weka.core.FindWithCapabilities
 
postExecution() - Method in class weka.core.ListOptions
 
postExecution() - Method in class weka.filters.Filter
Perform any teardown stuff that might need to happen after execution.
postExecution() - Method in class weka.knowledgeflow.FlowRunner
 
postProcess(int[]) - Method in class weka.attributeSelection.ASEvaluation
Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set.
postProcess(int[]) - Method in class weka.attributeSelection.CfsSubsetEval
Calls locallyPredictive in order to include locally predictive attributes (if requested).
postProcess(int[]) - Method in class weka.attributeSelection.GainRatioAttributeEval
 
postProcess(int[]) - Method in class weka.attributeSelection.OneRAttributeEval
 
postProcess(int[]) - Method in class weka.attributeSelection.ReliefFAttributeEval
 
postProcess(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
postProcess() - Method in class weka.experiment.AveragingResultProducer
When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess() - Method in class weka.experiment.CrossValidationResultProducer
Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.CSVResultListener
Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.DatabaseResultListener
Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.DatabaseResultProducer
When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
postProcess() - Method in class weka.experiment.DatabaseResultProducer
When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess() - Method in class weka.experiment.Experiment
Signals that the experiment is finished running, so that cleanup can be done.
postProcess() - Method in class weka.experiment.ExplicitTestsetResultProducer
Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.InstancesResultListener
Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
postProcess() - Method in class weka.experiment.LearningRateResultProducer
When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess() - Method in class weka.experiment.RandomSplitResultProducer
Perform any postprocessing.
postProcess() - Method in class weka.experiment.RemoteExperiment
overides the one in Experiment
postProcess(ResultProducer) - Method in interface weka.experiment.ResultListener
Perform any postprocessing.
postProcess() - Method in interface weka.experiment.ResultProducer
Perform any postprocessing.
postProcessDistances(double[]) - Method in interface weka.core.DistanceFunction
Does post processing of the distances (if necessary) returned by distance(distance(Instance first, Instance second, double cutOffValue).
postProcessDistances(double[]) - Method in class weka.core.EuclideanDistance
Does post processing of the distances (if necessary) returned by distance(distance(Instance first, Instance second, double cutOffValue).
postProcessDistances(double[]) - Method in class weka.core.FilteredDistance
Does post processing of the distances (if necessary) returned by distance(distance(Instance first, Instance second, double cutOffValue).
postProcessDistances(double[]) - Method in class weka.core.MinkowskiDistance
Does post processing of the distances (if necessary) returned by distance(distance(Instance first, Instance second, double cutOffValue).
postProcessDistances(double[]) - Method in class weka.core.NormalizableDistance
Does nothing, derived classes may override it though.
PostProcessor() - Constructor for class weka.core.CheckScheme.PostProcessor
 
PostProcessor() - Constructor for class weka.estimators.CheckEstimator.PostProcessor
 
PostscriptGraphics - Class in weka.gui.visualize
The PostscriptGraphics class extends the Graphics2D class to produce an encapsulated postscript file rather than on-screen display.
PostscriptGraphics(int, int, OutputStream) - Constructor for class weka.gui.visualize.PostscriptGraphics
Constructor Creates a new PostscriptGraphics object, given dimensions and output file.
PostscriptWriter - Class in weka.gui.visualize
This class takes any Component and outputs it to a Postscript file.
PostscriptWriter() - Constructor for class weka.gui.visualize.PostscriptWriter
initializes the object
PostscriptWriter(JComponent) - Constructor for class weka.gui.visualize.PostscriptWriter
initializes the object with the given Component
PostscriptWriter(JComponent, File) - Constructor for class weka.gui.visualize.PostscriptWriter
initializes the object with the given Component and filename
potential(int, double, double[], double[], boolean) - Method in class weka.classifiers.rules.RuleStats
Calculate the potential to decrease DL of the ruleset, i.e.
PotentialClassIgnorer - Class in weka.filters.unsupervised.attribute
This filter should be extended by other unsupervised attribute filters to allow processing of the class attribute if that's required.
PotentialClassIgnorer() - Constructor for class weka.filters.unsupervised.attribute.PotentialClassIgnorer
 
pow(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'^' power operator
POW - Static variable in interface weka.core.expressionlanguage.parser.sym
 
powerSeries(double, double, double) - Static method in class weka.core.Statistics
Power series for incomplete beta integral.
PPCell - Class in weka.core.pmml.jaxbbindings
Java class for PPCell element declaration.
PPCell() - Constructor for class weka.core.pmml.jaxbbindings.PPCell
 
PPMatrix - Class in weka.core.pmml.jaxbbindings
Java class for PPMatrix element declaration.
PPMatrix() - Constructor for class weka.core.pmml.jaxbbindings.PPMatrix
 
preBuiltClassifiersTipText() - Method in class weka.classifiers.meta.Vote
Returns the tip text for this property
precision(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the precision with respect to a particular class.
precision(int) - Method in class weka.classifiers.Evaluation
Calculate the precision with respect to a particular class.
PRECISION_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: Precision
PRECLUDES_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for package preclusion
preComputeCorrelationMatrixTipText() - Method in class weka.attributeSelection.CfsSubsetEval
 
PrecomputedKernelMatrixKernel - Class in weka.classifiers.functions.supportVector
This kernel is based on a static kernel matrix that is read from a file.
PrecomputedKernelMatrixKernel() - Constructor for class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
 
PreConstructedLinearModel - Class in weka.classifiers.trees.m5
This class encapsulates a linear regression function.
PreConstructedLinearModel(double[], double) - Constructor for class weka.classifiers.trees.m5.PreConstructedLinearModel
Constructor
predicted() - Method in class weka.classifiers.evaluation.NominalPrediction
Gets the predicted class value.
predicted() - Method in class weka.classifiers.evaluation.NumericPrediction
Gets the predicted class value.
predicted() - Method in interface weka.classifiers.evaluation.Prediction
Gets the predicted class value.
predictedClassCounts() - Method in class weka.classifiers.evaluation.Evaluation
Returns the predicted number (really, weight) of instances in each class.
predictIntervals(Instance, double) - Method in class weka.classifiers.functions.GaussianProcesses
Computes a prediction interval for the given instance and confidence level.
predictIntervals(Instance, double) - Method in interface weka.classifiers.IntervalEstimator
Returns an N * 2 array, where N is the number of prediction intervals.
predictIntervals(Instance, double) - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns an N * 2 array, where N is the number of prediction intervals.
predictIntervals(double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Returns the interval for the given confidence value.
predictIntervals(double) - Method in interface weka.estimators.UnivariateIntervalEstimator
Returns the intervals at the given confidence value.
predictIntervals(double) - Method in class weka.estimators.UnivariateKernelEstimator
Returns the interval for the given confidence value.
predictIntervals(double) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
Returns the interval for the given confidence value.
predictIntervals(double) - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the interval for the given confidence value.
predictIntervals(double) - Method in class weka.estimators.UnivariateNormalEstimator
Returns the interval for the given confidence value.
prediction - Variable in class weka.classifiers.evaluation.output.prediction.InMemory.PredictionContainer
the prediction.
Prediction - Interface in weka.classifiers.evaluation
Encapsulates a single evaluatable prediction: the predicted value plus the actual class value.
PredictionAppender - Class in weka.gui.beans
Bean that can can accept batch or incremental classifier events and produce dataset or instance events which contain instances with predictions appended.
PredictionAppender() - Constructor for class weka.gui.beans.PredictionAppender
Creates a new PredictionAppender instance.
PredictionAppender - Class in weka.knowledgeflow.steps
Step that can produce data with predictions appended from batch or incremental classifiers and clusterers
PredictionAppender() - Constructor for class weka.knowledgeflow.steps.PredictionAppender
 
PredictionAppenderBeanInfo - Class in weka.gui.beans
Bean info class for PredictionAppender.
PredictionAppenderBeanInfo() - Constructor for class weka.gui.beans.PredictionAppenderBeanInfo
 
PredictionAppenderCustomizer - Class in weka.gui.beans
GUI Customizer for the prediction appender bean
PredictionAppenderCustomizer() - Constructor for class weka.gui.beans.PredictionAppenderCustomizer
 
PredictionContainer() - Constructor for class weka.classifiers.evaluation.output.prediction.InMemory.PredictionContainer
 
predictionIntervals() - Method in class weka.classifiers.evaluation.NumericPrediction
Returns the predictions intervals.
predictions() - Method in class weka.classifiers.evaluation.Evaluation
Returns the predictions that have been collected.
predictions() - Method in class weka.classifiers.Evaluation
Returns the predictions that have been collected.
PredictiveModelQuality - Class in weka.core.pmml.jaxbbindings
Java class for PredictiveModelQuality element declaration.
PredictiveModelQuality() - Constructor for class weka.core.pmml.jaxbbindings.PredictiveModelQuality
 
Predictor - Class in weka.core.pmml.jaxbbindings
Java class for Predictor element declaration.
Predictor() - Constructor for class weka.core.pmml.jaxbbindings.Predictor
 
PredictorTerm - Class in weka.core.pmml.jaxbbindings
Java class for PredictorTerm element declaration.
PredictorTerm() - Constructor for class weka.core.pmml.jaxbbindings.PredictorTerm
 
predictQuantile(double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Returns the quantile for the given percentage.
predictQuantile(double) - Method in class weka.estimators.UnivariateKernelEstimator
Returns the quantile for the given percentage.
predictQuantile(double) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
Returns the quantile for the given percentage.
predictQuantile(double) - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the quantile for the given percentage.
predictQuantile(double) - Method in class weka.estimators.UnivariateNormalEstimator
Returns the quantile for the given percentage.
predictQuantile(double) - Method in interface weka.estimators.UnivariateQuantileEstimator
Returns the quantile for the given percentage
preExecution() - Method in class weka.associations.AbstractAssociator
Perform any setup stuff that might need to happen before commandline execution.
preExecution() - Method in class weka.attributeSelection.ASEvaluation
Perform any setup stuff that might need to happen before commandline execution.
preExecution() - Method in class weka.classifiers.AbstractClassifier
Perform any setup stuff that might need to happen before commandline execution.
preExecution() - Method in class weka.classifiers.meta.Stacking
 
preExecution() - Method in class weka.classifiers.MultipleClassifiersCombiner
 
preExecution() - Method in class weka.classifiers.SingleClassifierEnhancer
 
preExecution() - Method in class weka.clusterers.AbstractClusterer
Perform any setup stuff that might need to happen before commandline execution.
preExecution() - Method in interface weka.core.CommandlineRunnable
Perform any setup stuff that might need to happen before execution.
preExecution() - Method in class weka.core.converters.TextDirectoryLoader
Perform any setup stuff that might need to happen before commandline execution.
preExecution() - Method in class weka.core.FindWithCapabilities
 
preExecution() - Method in class weka.core.ListOptions
 
preExecution() - Method in class weka.filters.Filter
Perform any setup stuff that might need to happen before commandline execution.
preExecution() - Method in class weka.knowledgeflow.FlowRunner
 
preferredLayoutSize(Container) - Method in class weka.gui.WrapLayout
Returns the preferred dimensions for this layout given the visible components in the specified target container.
prefix() - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns tree in prefix order.
prefix() - Method in class weka.classifiers.trees.J48
Returns tree in prefix order.
prefix() - Method in interface weka.core.Matchable
Returns a string that describes a tree representing the object in prefix order.
prepareRenderer(TableCellRenderer, int, int) - Method in class weka.gui.ETable
Shades alternate rows in different colors.
prePlot(Graphics) - Method in interface weka.gui.visualize.Plot2DCompanion
Something to be drawn before the plot itself
preProcess(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
Prepare for the results to be received.
preProcess() - Method in class weka.experiment.AveragingResultProducer
Prepare to generate results.
preProcess() - Method in class weka.experiment.CrossValidationResultProducer
Prepare to generate results.
preProcess(ResultProducer) - Method in class weka.experiment.CSVResultListener
Prepare for the results to be received.
preProcess(ResultProducer) - Method in class weka.experiment.DatabaseResultListener
Prepare for the results to be received.
preProcess(ResultProducer) - Method in class weka.experiment.DatabaseResultProducer
Prepare for the results to be received.
preProcess() - Method in class weka.experiment.DatabaseResultProducer
Prepare to generate results.
preProcess() - Method in class weka.experiment.ExplicitTestsetResultProducer
Prepare to generate results.
preProcess(ResultProducer) - Method in class weka.experiment.InstancesResultListener
Prepare for the results to be received.
preProcess(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
Prepare for the results to be received.
preProcess() - Method in class weka.experiment.LearningRateResultProducer
Prepare to generate results.
preProcess() - Method in class weka.experiment.RandomSplitResultProducer
Prepare to generate results.
preProcess(ResultProducer) - Method in interface weka.experiment.ResultListener
Prepare for the results to be received.
preProcess() - Method in interface weka.experiment.ResultProducer
Prepare to generate results.
PreprocessDefaults() - Constructor for class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
preprocessingTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
Returns the tip text for this property
PreprocessPanel - Class in weka.gui.explorer
This panel controls simple preprocessing of instances.
PreprocessPanel() - Constructor for class weka.gui.explorer.PreprocessPanel
Creates the instances panel with no initial instances.
PreprocessPanel.PreprocessDefaults - Class in weka.gui.explorer
 
preserveInstancesOrderTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
preserveOrderInPercentageSplitEvaluationTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
Primitives - Class in weka.core.expressionlanguage.common
A class providing AST (abstract syntax tree) nodes to support primitive types.
Primitives() - Constructor for class weka.core.expressionlanguage.common.Primitives
 
Primitives.BooleanConstant - Class in weka.core.expressionlanguage.common
An AST node representing a boolean constant
Primitives.BooleanExpression - Interface in weka.core.expressionlanguage.common
An AST node for an expression of boolean type
Primitives.BooleanVariable - Class in weka.core.expressionlanguage.common
An AST node representing a boolean variable
Primitives.DoubleConstant - Class in weka.core.expressionlanguage.common
An AST node representing a double constant
Primitives.DoubleExpression - Interface in weka.core.expressionlanguage.common
An AST node for an expression of double type
Primitives.DoubleVariable - Class in weka.core.expressionlanguage.common
An AST node representing a double variable
Primitives.StringConstant - Class in weka.core.expressionlanguage.common
An AST node representing a string constant
Primitives.StringExpression - Interface in weka.core.expressionlanguage.common
An AST node for an expression of String type
Primitives.StringVariable - Class in weka.core.expressionlanguage.common
An AST node representing a string variable
PrincipalComponents - Class in weka.attributeSelection
Performs a principal components analysis and transformation of the data.
PrincipalComponents() - Constructor for class weka.attributeSelection.PrincipalComponents
 
PrincipalComponents - Class in weka.filters.unsupervised.attribute
Performs a principal components analysis and transformation of the data.
Dimensionality reduction is accomplished by choosing enough eigenvectors to account for some percentage of the variance in the original data -- default 0.95 (95%).
Based on code of the attribute selection scheme 'PrincipalComponents' by Mark Hall and Gabi Schmidberger.
PrincipalComponents() - Constructor for class weka.filters.unsupervised.attribute.PrincipalComponents
 
print() - Method in class weka.classifiers.bayes.net.ADNode
print is used for debugging only and shows the ADTree in ASCII graphics
print(String) - Method in class weka.classifiers.bayes.net.VaryNode
print is used for debugging only, called from ADNode
print(Classifier, ConverterUtils.DataSource) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Prints the header, classifications and footer to the buffer.
print(Classifier, Instances) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Prints the header, classifications and footer to the buffer.
print(int) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints the given int to the streams.
print(boolean) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints the given boolean to the streams.
print(String) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints the given string to the streams.
print(Object) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints the given object to the streams.
print(int, int) - Method in class weka.core.matrix.Matrix
Print the matrix to stdout.
print(PrintWriter, int, int) - Method in class weka.core.matrix.Matrix
Print the matrix to the output stream.
print(NumberFormat, int) - Method in class weka.core.matrix.Matrix
Print the matrix to stdout.
print(PrintWriter, NumberFormat, int) - Method in class weka.core.matrix.Matrix
Print the matrix to the output stream.
print(int) - Method in class weka.core.Tee
prints the given int to the streams.
print(long) - Method in class weka.core.Tee
prints the given long to the streams.
print(float) - Method in class weka.core.Tee
prints the given float to the streams.
print(double) - Method in class weka.core.Tee
prints the given double to the streams.
print(boolean) - Method in class weka.core.Tee
prints the given boolean to the streams.
print(char) - Method in class weka.core.Tee
prints the given char to the streams.
print(char[]) - Method in class weka.core.Tee
prints the given char array to the streams.
print(String) - Method in class weka.core.Tee
prints the given string to the streams.
print(Object) - Method in class weka.core.Tee
prints the given object to the streams.
print() - Method in class weka.core.xml.XMLDocument
prints the current DOM document to standard out.
print(Graphics, PageFormat, int) - Method in class weka.gui.DocumentPrinting
Prints the page.
print(JTextPane) - Method in class weka.gui.DocumentPrinting
Prints the document in the JTextPane.
print_hash_code() - Method in class weka.classifiers.rules.DecisionTableHashKey
Prints the hash code
PrintableComponent - Class in weka.gui.visualize
This class extends the component which is handed over in the constructor by a print dialog.
PrintableComponent(JComponent) - Constructor for class weka.gui.visualize.PrintableComponent
initializes the panel.
PrintableHandler - Interface in weka.gui.visualize
This interface is for all JComponent classes that provide the ability to print itself to a file.
PrintablePanel - Class in weka.gui.visualize
This Panel enables the user to print the panel to various file formats.
PrintablePanel() - Constructor for class weka.gui.visualize.PrintablePanel
initializes the panel
printAllModels() - Method in class weka.classifiers.trees.m5.RuleNode
Print all the linear models at the learf (debugging purposes)
printCanopyAssignments(Instances, List<long[]>) - Static method in class weka.clusterers.Canopy
Print the supplied instances and their canopies
printClassification(Classifier, Instance, int) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Prints the classification to the buffer.
printClassification(double[], Instance, int) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Prints the classification to the buffer.
printClassifications(Classifier, ConverterUtils.DataSource) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Prints the classifications to the buffer.
printClassifications(Classifier, Instances) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Prints the classifications to the buffer.
printClassifiersTipText() - Method in class weka.classifiers.meta.Bagging
Returns the tip text for this property
printColNamesTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
printDialog() - Method in class weka.gui.DocumentPrinting
Shows the print dialog.
printElements() - Method in class weka.classifiers.functions.supportVector.SMOset
Prints all the current elements in the set.
printf(String, Object...) - Method in class weka.core.Tee
A convenience method to write a formatted string to this output stream using the specified format string and arguments.
printf(Locale, String, Object...) - Method in class weka.core.Tee
A convenience method to write a formatted string to this output stream using the specified format string and arguments.
printFeatures() - Method in class weka.classifiers.rules.DecisionTable
Returns a string description of the features selected
printFooter() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Prints the footer to the buffer.
printHeader() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Prints the header to the buffer.
printInsts(int, int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
For printing indices in some given portion of the master index array.
printLeafModels() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
Print the models at the leaves
printLeafModels() - Method in class weka.classifiers.trees.m5.RuleNode
print all leaf models
printLeafModelsTipText() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the tip text for this property
printList(MiddleOutConstructor.MyIdxList) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
For printing indices in a given point list.
println() - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints a new line to the streams.
println(int) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints the given int to the streams.
println(boolean) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints the given boolean to the streams.
println(String) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints the given string to the streams.
println(Object) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
prints the given object to the streams (for Throwables we print the stack trace).
println() - Method in class weka.core.Tee
prints a new line to the streams.
println(int) - Method in class weka.core.Tee
prints the given int to the streams.
println(long) - Method in class weka.core.Tee
prints the given long to the streams.
println(float) - Method in class weka.core.Tee
prints the given float to the streams.
println(double) - Method in class weka.core.Tee
prints the given double to the streams.
println(boolean) - Method in class weka.core.Tee
prints the given boolean to the streams.
println(char) - Method in class weka.core.Tee
prints the given char to the streams.
println(char[]) - Method in class weka.core.Tee
prints the given char array to the streams.
println(String) - Method in class weka.core.Tee
prints the given string to the streams.
println(Object) - Method in class weka.core.Tee
prints the given object to the streams (for Throwables we print the stack trace).
printNewickTipText() - Method in class weka.clusterers.HierarchicalClusterer
 
printNodeLinearModel() - Method in class weka.classifiers.trees.m5.RuleNode
print the linear model at this node
printRowNamesTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
printSingleAssignment(long[]) - Static method in class weka.clusterers.Canopy
 
printStackTrace() - Method in class weka.core.Debug.Random
prints the current stacktrace
priorEntropy() - Method in class weka.classifiers.evaluation.Evaluation
Returns the mean base-2 log loss wrt the null model.
priorEntropy() - Method in class weka.classifiers.Evaluation
Calculate the entropy of the prior distribution.
prnts - Variable in class weka.gui.graphvisualizer.GraphNode
The indices of parent nodes
prob(int) - Method in class weka.classifiers.trees.j48.Distribution
Returns relative frequency of class over all bags.
prob(int, int) - Method in class weka.classifiers.trees.j48.Distribution
Returns relative frequency of class for given bag.
PROB_COST_FUNC_NAME - Static variable in class weka.classifiers.evaluation.CostCurve
attribute name: Probability Cost Function
probabilityOfAttValConditionedOnClass(double, String) - Method in class weka.classifiers.trees.ht.ConditionalSufficientStats
Return the probability of an attribute value conditioned on a class value
probabilityOfAttValConditionedOnClass(double, String) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
 
probabilityOfAttValConditionedOnClass(double, String) - Method in class weka.classifiers.trees.ht.NominalConditionalSufficientStats
 
probabilityTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Returns the tip text for this property
probRound(double, Random) - Static method in class weka.core.Utils
Rounds a double to the next nearest integer value in a probabilistic fashion (e.g.
probs - Variable in class weka.gui.graphvisualizer.GraphNode
probability table for each outcome given outcomes of parents, if any
probToLogOdds(double) - Static method in class weka.core.Utils
Returns the log-odds for a given probabilitiy.
process(boolean[][], BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
 
process(Instances) - Method in class weka.core.CheckScheme.PostProcessor
Provides a hook for derived classes to further modify the data.
process(Instances, double[][], Evaluation) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
 
process(Instance, Classifier, Evaluation) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Process a classifier's prediction for an instance and update a set of plotting instances and additional plotting info.
process(Data) - Method in class weka.knowledgeflow.steps.PairedDataHelper
Initiate routing and processing for a particular data object
process() - Method in class weka.knowledgeflow.StepTask
The actual work gets done here.
processChangedLines(int, int) - Method in class weka.gui.scripting.SyntaxDocument
Determine how many lines have been changed, then apply highlighting to each line.
processColour(String, Color) - Static method in class weka.gui.visualize.VisualizeUtils
Parses a string containing either a named colour or r,g,b values.
processFile(String) - Method in class weka.classifiers.bayes.net.BIFReader
processFile reads a BIFXML file and initializes a Bayes Net
processFilename(String) - Method in class weka.gui.Loader
returns the processed filename, i.e.
processHeadlessEvents(List<EventObject>) - Method in class weka.gui.beans.CostBenefitAnalysis
Process a list of events that have been collected earlier.
processHeadlessEvents(List<EventObject>) - Method in class weka.gui.beans.DataVisualizer
Process a list of events that have been collected earlier.
processHeadlessEvents(List<EventObject>) - Method in interface weka.gui.beans.HeadlessEventCollector
Process a list of events that have been collected earlier.
processHeadlessEvents(List<EventObject>) - Method in class weka.gui.beans.ModelPerformanceChart
Process a list of events that have been collected earlier.
processHeadlessEvents(List<EventObject>) - Method in class weka.gui.beans.TextViewer
Process a list of events that have been collected earlier.
processIncoming(Data) - Method in class weka.knowledgeflow.steps.AlterRelationName
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Appender
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ASEvaluator
Process an incoming Data object
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Associator
Processes incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.BaseStep
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in interface weka.knowledgeflow.steps.BaseStepExtender
Process an incoming data payload (if the step accepts incoming connections).
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Block
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ClassAssigner
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Classifier
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ClassValuePicker
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Clusterer
Process an incoming data object
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.CostBenefitAnalysis
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.DataVisualizer
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Process an incoming Data object
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Filter
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.FlowByExpression
Main processing routine
processIncoming(Data) - Method in class weka.knowledgeflow.steps.GetDataFromResult
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.GraphViewer
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ImageSaver
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ImageViewer
Process incoming image data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Job
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Join
Process some incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.PredictionAppender
Process incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Saver
Processes incoming data
processIncoming(Data) - Method in class weka.knowledgeflow.steps.SendToPerspective
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.SetVariables
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.Sorter
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in interface weka.knowledgeflow.steps.Step
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.StripChart
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.SubstringLabeler
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.SubstringReplacer
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.TestSetMaker
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.TextSaver
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.TextViewer
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.TrainingSetMaker
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Process an incoming data payload (if the step accepts incoming connections)
processIncoming(Data) - Method in class weka.knowledgeflow.steps.WriteDataToResult
 
processIncoming(Data) - Method in class weka.knowledgeflow.steps.WriteWekaLog
Process an incoming piece of data
PROCESSING - Static variable in class weka.experiment.TaskStatusInfo
 
processing() - Method in interface weka.knowledgeflow.StepManager
Step implementations processing batch data should call this to indicate that they have started some processing.
processing() - Method in class weka.knowledgeflow.StepManagerImpl
Started processing.
processInstance(Instance) - Method in class weka.core.DictionaryBuilder
Process an instance by tokenizing string attributes and updating the dictionary.
processKeyString(String) - Static method in class weka.experiment.DatabaseUtils
processes the string in such a way that it can be stored in the database, i.e., it changes backslashes into slashes and doubles single quotes.
processPrimary(Integer, Integer, Data, PairedDataHelper<Classifier>) - Method in class weka.knowledgeflow.steps.Classifier
Process a training split (primary data handled by the PairedDataHelper)
processPrimary(Integer, Integer, Data, PairedDataHelper<Clusterer>) - Method in class weka.knowledgeflow.steps.Clusterer
Process a training split (primary data handled by the PairedDataHelper)
processPrimary(Integer, Integer, Data, PairedDataHelper<P>) - Method in interface weka.knowledgeflow.steps.PairedDataHelper.PairedProcessor
 
processSecondary(Integer, Integer, Data, PairedDataHelper<Classifier>) - Method in class weka.knowledgeflow.steps.Classifier
Process a test split/fold (secondary data handled by PairedDataHelper)
processSecondary(Integer, Integer, Data, PairedDataHelper<Clusterer>) - Method in class weka.knowledgeflow.steps.Clusterer
Process a test split/fold (secondary data handled by PairedDataHelper)
processSecondary(Integer, Integer, Data, PairedDataHelper<P>) - Method in interface weka.knowledgeflow.steps.PairedDataHelper.PairedProcessor
 
processString(String) - Method in class weka.classifiers.bayes.net.BIFReader
 
PRODUCT_RULE - Static variable in class weka.classifiers.meta.Vote
combination rule: Product of Probabilities (only nominal classes)
production_table() - Method in class weka.core.expressionlanguage.parser.Parser
Access to production table.
production_table() - Method in class weka.core.json.Parser
Access to production table.
ProgrammaticProperty - Annotation Type in weka.gui
Method annotation that can be used with bean properties that are to be considered as programmatic only (i.e.
PROPERTIES - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
PROPERTIES_DIR - Static variable in class weka.core.WekaPackageManager
The default properties directory
PROPERTIES_FILE - Static variable in class weka.core.Capabilities
the properties file for managing the tests
PROPERTIES_FILE - Static variable in class weka.core.logging.Logger
the properties file.
PROPERTIES_FILE - Static variable in class weka.gui.scripting.GroovyPanel
the Groovy setup.
PROPERTIES_FILE - Static variable in class weka.gui.scripting.JythonPanel
the Groovy setup.
PROPERTIES_FILE - Static variable in class weka.gui.treevisualizer.TreeVisualizer
the props file.
PropertiesHandler() - Constructor for class weka.gui.WekaFileChooser.PropertiesHandler
 
property - Variable in class weka.experiment.PropertyNode
Other info about the property
PROPERTY_FILE - Static variable in class weka.core.Copyright
the copyright file
PROPERTY_FILE - Static variable in class weka.experiment.DatabaseUtils
The name of the properties file.
PROPERTY_FILE - Static variable in class weka.gui.experiment.ExperimenterDefaults
The name of the properties file.
PROPERTY_FILE - Static variable in class weka.gui.explorer.ExplorerDefaults
The name of the properties file.
PROPERTY_FILE - Static variable in class weka.gui.LookAndFeel
The name of the properties file
propertyChange(PropertyChangeEvent) - Method in class weka.gui.beans.KnowledgeFlowApp
Accept property change events
propertyChange(PropertyChangeEvent) - Method in class weka.gui.PropertySheetPanel
Updates the property sheet panel with a changed property and also passed the event along.
propertyChange(PropertyChangeEvent) - Method in class weka.gui.SettingsEditor.SingleSettingsEditor
 
PropertyDialog - Class in weka.gui
Support for PropertyEditors with custom editors: puts the editor into a separate frame.
PropertyDialog(PropertyEditor, int, int) - Constructor for class weka.gui.PropertyDialog
Deprecated.
instead of this constructor, one should use the constructors with an explicit owner (either derived from java.awt.Dialog or from java.awt.Frame) or, if none available, using (Frame) null as owner.
PropertyDialog(Dialog, PropertyEditor) - Constructor for class weka.gui.PropertyDialog
Creates the (screen-centered) editor dialog.
PropertyDialog(Dialog, PropertyEditor, int, int) - Constructor for class weka.gui.PropertyDialog
Creates the editor dialog at the given position.
PropertyDialog(Frame, PropertyEditor) - Constructor for class weka.gui.PropertyDialog
Creates the (screen-centered) editor dialog.
PropertyDialog(Frame, PropertyEditor, int, int) - Constructor for class weka.gui.PropertyDialog
Creates the editor dialog at the given position.
PropertyHandler - Class in weka.core.xml
This class stores information about properties to ignore or properties that are allowed for a certain class.
PropertyHandler() - Constructor for class weka.core.xml.PropertyHandler
initializes the handling
PropertyNode - Class in weka.experiment
Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.
PropertyNode(Object) - Constructor for class weka.experiment.PropertyNode
Creates a mostly empty property.
PropertyNode(Object, PropertyDescriptor, Class<?>) - Constructor for class weka.experiment.PropertyNode
Creates a fully specified property node.
PropertyPanel - Class in weka.gui
Support for drawing a property value in a component.
PropertyPanel(PropertyEditor) - Constructor for class weka.gui.PropertyPanel
Create the panel with the supplied property editor.
PropertyPanel(PropertyEditor, boolean) - Constructor for class weka.gui.PropertyPanel
Create the panel with the supplied property editor, optionally ignoring any custom panel the editor can provide.
PropertyPath - Class in weka.core
A helper class for accessing properties in nested objects, e.g., accessing the "getRidge" method of a LinearRegression classifier part of MultipleClassifierCombiner, e.g., Vote.
PropertyPath() - Constructor for class weka.core.PropertyPath
 
PropertyPath.Path - Class in weka.core
Contains a (property) path structure
PropertyPath.PathElement - Class in weka.core
Represents a single element of a property path
PropertySelectorDialog - Class in weka.gui
Allows the user to select any (supported) property of an object, including properties that any of it's property values may have.
PropertySelectorDialog(Frame, Object) - Constructor for class weka.gui.PropertySelectorDialog
Create the property selection dialog.
PropertySheetPanel - Class in weka.gui
Displays a property sheet where (supported) properties of the target object may be edited.
PropertySheetPanel() - Constructor for class weka.gui.PropertySheetPanel
Creates the property sheet panel with an about panel.
PropertySheetPanel(boolean) - Constructor for class weka.gui.PropertySheetPanel
Creates the property sheet panel
ProtectedProperties - Class in weka.core
Simple class that extends the Properties class so that the properties are unable to be modified.
ProtectedProperties(Properties) - Constructor for class weka.core.ProtectedProperties
Creates a set of protected properties from a set of normal ones.
prune(Instances, boolean) - Method in class weka.classifiers.rules.JRip.RipperRule
Prune all the possible final sequences of the rule using the pruning data.
prune() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
Prunes a tree using C4.5's pruning procedure.
prune() - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
Prunes a tree.
prune(double) - Method in class weka.classifiers.trees.lmt.LMTNode
Prunes a logistic model tree using the CART pruning scheme, given a cost-complexity parameter alpha.
prune(double[], double[], Instances) - Method in class weka.classifiers.trees.lmt.LMTNode
Method for performing one fold in the cross-validation of the cost-complexity parameter.
prune() - Method in class weka.classifiers.trees.m5.RuleNode
Recursively prune the tree
PruneableClassifierTree - Class in weka.classifiers.trees.j48
Class for handling a tree structure that can be pruned using a pruning set.
PruneableClassifierTree(ModelSelection, boolean, int, boolean, int) - Constructor for class weka.classifiers.trees.j48.PruneableClassifierTree
Constructor for pruneable tree structure.
PruneableDecList - Class in weka.classifiers.rules.part
Class for handling a partial tree structure that can be pruned using a pruning set.
PruneableDecList(ModelSelection, int) - Constructor for class weka.classifiers.rules.part.PruneableDecList
Constructor for pruneable partial tree structure.
pruneItemSets(ArrayList<Object>, Hashtable<ItemSet, Integer>) - Static method in class weka.associations.ItemSet
Prunes a set of (k)-item sets using the given (k-1)-item sets.
pruneItemSets(ArrayList<Object>, Hashtable<ItemSet, Integer>) - Static method in class weka.associations.LabeledItemSet
Prunes a set of (k)-item sets using the given (k-1)-item sets.
pruneRules(List<AssociationRule>, ArrayList<Item>, boolean) - Static method in class weka.associations.FPGrowth
 
pruneRules(ArrayList<Object>[], double) - Static method in class weka.associations.ItemSet
Prunes a set of rules.
pruneToK(Instances, double[], int) - Method in class weka.classifiers.lazy.IBk
Prunes the list to contain the k nearest neighbors.
PRUNING_LAMBDA - Static variable in class weka.classifiers.functions.supportVector.StringKernel
Pruning method: Lambda See [2] for details.
PRUNING_NONE - Static variable in class weka.classifiers.functions.supportVector.StringKernel
Pruning method: No Pruning
pruningMethodTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the tip text for this property
PSI - Static variable in class weka.core.matrix.Maths
The constant 1 / sqrt(2 pi)
Puk - Class in weka.classifiers.functions.supportVector
The Pearson VII function-based universal kernel.

For more information see:

B.
Puk() - Constructor for class weka.classifiers.functions.supportVector.Puk
default constructor - does nothing.
Puk(Instances, int, double, double) - Constructor for class weka.classifiers.functions.supportVector.Puk
Constructor.
PURE_INPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection
This unit is a pure input unit.
PURE_OUTPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection
This unit is a pure output unit.
push(T) - Method in class weka.core.neighboursearch.covertrees.Stack
Pushes the given element to the stack.
push(Stack<T>, T) - Method in class weka.core.neighboursearch.covertrees.Stack
Pushes the given element onto the given stack.
push(Object) - Method in class weka.core.Queue
Appends an object to the back of the queue.
pushParameterDefs() - Method in class weka.core.pmml.DefineFunction
 
put(Object, Object) - Method in class weka.core.ProtectedProperties
Overrides a method to prevent the properties from being modified.
putAll(Map<? extends Object, ? extends Object>) - Method in class weka.core.ProtectedProperties
Overrides a method to prevent the properties from being modified.
putResultInTable(String, ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseUtils
Executes a database query to insert a result for the supplied key into the database.

Q

qr() - Method in class weka.core.matrix.Matrix
QR Decomposition
QRDecomposition - Class in weka.core.matrix
QR Decomposition.
QRDecomposition(Matrix) - Constructor for class weka.core.matrix.QRDecomposition
QR Decomposition, computed by Householder reflections.
Quantile - Class in weka.core.pmml.jaxbbindings
Java class for Quantile element declaration.
Quantile() - Constructor for class weka.core.pmml.jaxbbindings.Quantile
 
queryExecuted(QueryExecuteEvent) - Method in interface weka.gui.sql.event.QueryExecuteListener
This method gets called when a query has been executed.
queryExecuted(QueryExecuteEvent) - Method in class weka.gui.sql.ResultPanel
This method gets called when a query has been executed.
queryExecuted(QueryExecuteEvent) - Method in class weka.gui.sql.SqlViewer
This method gets called when a query has been executed.
QueryExecuteEvent - Class in weka.gui.sql.event
An event that is generated when a query is executed.
QueryExecuteEvent(Object, DbUtils, String, int, ResultSet, Exception) - Constructor for class weka.gui.sql.event.QueryExecuteEvent
constructs the event
QueryExecuteListener - Interface in weka.gui.sql.event
A listener for executing queries.
QueryPanel - Class in weka.gui.sql
Represents a panel for entering an SQL query.
QueryPanel(JFrame) - Constructor for class weka.gui.sql.QueryPanel
initializes the panel.
queryTipText() - Method in class weka.core.converters.DatabaseLoader
the tip text for this property
queryTipText() - Method in class weka.experiment.InstanceQuery
Returns the tip text for this property
Queue - Class in weka.core
Class representing a FIFO queue.
Queue() - Constructor for class weka.core.Queue
 
quickSort(double[], double[], int, int) - Static method in class weka.core.neighboursearch.NearestNeighbourSearch
performs quicksort.
quote(String) - Static method in class weka.core.Utils
Quotes a string if it contains special characters.

R

R_MAX - Static variable in class weka.core.NormalizableDistance
Index in ranges for MAX.
R_MIN - Static variable in class weka.core.NormalizableDistance
Index in ranges for MIN.
R_WIDTH - Static variable in class weka.core.NormalizableDistance
Index in ranges for WIDTH.
RadialBasisKernelType - Class in weka.core.pmml.jaxbbindings
Java class for RadialBasisKernelType element declaration.
RadialBasisKernelType() - Constructor for class weka.core.pmml.jaxbbindings.RadialBasisKernelType
 
radixSortOfPositiveIntegers(int[]) - Static method in class weka.core.RandomSample
Sorts the given array of non-negative integers in ascending order using LSD radix sort.
Rainbow - Class in weka.core.stopwords
Stopwords list based on Rainbow:
http://www.cs.cmu.edu/~mccallum/bow/rainbow/

Valid options are:

Rainbow() - Constructor for class weka.core.stopwords.Rainbow
 
randEntropy - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
used/reused to hold the random entropy
RANDOM - Static variable in class weka.clusterers.SimpleKMeans
 
Random() - Constructor for class weka.core.Debug.Random
Creates a new random number generator.
Random(long) - Constructor for class weka.core.Debug.Random
Creates a new random number generator using a single long seed.
Random(boolean) - Constructor for class weka.core.Debug.Random
Creates a new random number generator.
Random(long, boolean) - Constructor for class weka.core.Debug.Random
Creates a new random number generator using a single long seed.
random(int) - Static method in class weka.core.matrix.DoubleVector
Returns a random vector of uniform distribution
random(int, int) - Static method in class weka.core.matrix.Matrix
Generate matrix with random elements
RANDOM - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
Constant set for choice of pattern.
RANDOM - Static variable in class weka.filters.supervised.attribute.ClassOrder
The class values are sorted in random order
RandomCommittee - Class in weka.classifiers.meta
Class for building an ensemble of randomizable base classifiers.
RandomCommittee() - Constructor for class weka.classifiers.meta.RandomCommittee
Constructor.
RandomForest - Class in weka.classifiers.trees
Class for constructing a forest of random trees.

For more information see:

Leo Breiman (2001).
RandomForest() - Constructor for class weka.classifiers.trees.RandomForest
Constructor that sets base classifier for bagging to RandomTre and default number of iterations to 100.
Randomizable - Interface in weka.core
Interface to something that has random behaviour that is able to be seeded with an integer.
RandomizableClassifier - Class in weka.classifiers
Abstract utility class for handling settings common to randomizable classifiers.
RandomizableClassifier() - Constructor for class weka.classifiers.RandomizableClassifier
 
RandomizableClusterer - Class in weka.clusterers
Abstract utility class for handling settings common to randomizable clusterers.
RandomizableClusterer() - Constructor for class weka.clusterers.RandomizableClusterer
 
RandomizableDensityBasedClusterer - Class in weka.clusterers
Abstract utility class for handling settings common to randomizable clusterers.
RandomizableDensityBasedClusterer() - Constructor for class weka.clusterers.RandomizableDensityBasedClusterer
 
RandomizableFilteredClassifier - Class in weka.classifiers.meta
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
RandomizableFilteredClassifier() - Constructor for class weka.classifiers.meta.RandomizableFilteredClassifier
Default constructor.
RandomizableIteratedSingleClassifierEnhancer - Class in weka.classifiers
Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.
RandomizableIteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
 
RandomizableMultipleClassifiersCombiner - Class in weka.classifiers
Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers based on a given random number seed.
RandomizableMultipleClassifiersCombiner() - Constructor for class weka.classifiers.RandomizableMultipleClassifiersCombiner
 
RandomizableParallelIteratedSingleClassifierEnhancer - Class in weka.classifiers
Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single base learner.
RandomizableParallelIteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
 
RandomizableParallelMultipleClassifiersCombiner - Class in weka.classifiers
Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple classifiers based on a given random number seed.
RandomizableParallelMultipleClassifiersCombiner() - Constructor for class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
 
RandomizableSingleClassifierEnhancer - Class in weka.classifiers
Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.
RandomizableSingleClassifierEnhancer() - Constructor for class weka.classifiers.RandomizableSingleClassifierEnhancer
 
RandomizableSingleClustererEnhancer - Class in weka.clusterers
Abstract utility class for handling settings common to randomizable clusterers.
RandomizableSingleClustererEnhancer() - Constructor for class weka.clusterers.RandomizableSingleClustererEnhancer
 
randomize(int[], Random) - Method in class weka.classifiers.BVDecomposeSegCVSub
Accepts an array of ints and randomises the values in the array, using the random seed.
randomize(Random) - Method in class weka.core.Instances
Shuffles the instances in the set so that they are ordered randomly.
Randomize - Class in weka.filters.unsupervised.instance
Randomly shuffles the order of instances passed through it.
Randomize() - Constructor for class weka.filters.unsupervised.instance.Randomize
 
RANDOMIZED - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
Constant set for input order (default)
randomizeDataTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
randomizeDataTipText() - Method in class weka.experiment.RandomSplitResultProducer
Returns the tip text for this property
RandomLiftGraph - Class in weka.core.pmml.jaxbbindings
Java class for RandomLiftGraph element declaration.
RandomLiftGraph() - Constructor for class weka.core.pmml.jaxbbindings.RandomLiftGraph
 
randomOrderTipText() - Method in class weka.classifiers.bayes.net.search.global.K2
 
randomOrderTipText() - Method in class weka.classifiers.bayes.net.search.local.K2
 
RandomProjection - Class in weka.filters.unsupervised.attribute
Reduces the dimensionality of the data by projecting it onto a lower dimensional subspace using a random matrix with columns of unit length.
RandomProjection() - Constructor for class weka.filters.unsupervised.attribute.RandomProjection
 
RandomRBF - Class in weka.datagenerators.classifiers.classification
RandomRBF data is generated by first creating a random set of centers for each class.
RandomRBF() - Constructor for class weka.datagenerators.classifiers.classification.RandomRBF
initializes the generator with default values
RandomSample - Class in weka.core
Class holding static utility methods for drawing random samples.
RandomSample() - Constructor for class weka.core.RandomSample
 
randomSeedTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
randomSeedTipText() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Returns the tip text for this property.
randomSeedTipText() - Method in class weka.filters.supervised.instance.Resample
Returns the tip text for this property.
randomSeedTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
Returns the tip text for this property
randomSeedTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
Returns the tip text for this property
randomSeedTipText() - Method in class weka.filters.unsupervised.instance.Randomize
Returns the tip text for this property
randomSeedTipText() - Method in class weka.filters.unsupervised.instance.Resample
Returns the tip text for this property
randomSeedTipText() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Returns the tip text for this property
RandomSplitResultProducer - Class in weka.experiment
Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.
RandomSplitResultProducer() - Constructor for class weka.experiment.RandomSplitResultProducer
 
RandomSubset - Class in weka.filters.unsupervised.attribute
Chooses a random subset of non-class attributes, either an absolute number or a percentage.
RandomSubset() - Constructor for class weka.filters.unsupervised.attribute.RandomSubset
 
RandomSubSpace - Class in weka.classifiers.meta
This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity.
RandomSubSpace() - Constructor for class weka.classifiers.meta.RandomSubSpace
Constructor.
randomTipText() - Method in class weka.datagenerators.DataGenerator
Returns the tip text for this property
RandomTree - Class in weka.classifiers.trees
Class for constructing a tree that considers K randomly chosen attributes at each node.
RandomTree() - Constructor for class weka.classifiers.trees.RandomTree
 
RandomVariates - Class in weka.core
Class implementing some simple random variates generator.
RandomVariates() - Constructor for class weka.core.RandomVariates
Simply the constructor of super class
RandomVariates(long) - Constructor for class weka.core.RandomVariates
Simply the constructor of super class
randomWidthFactorTipText() - Method in class weka.classifiers.meta.MultiClassClassifier
 
Range - Class in weka.core
Class representing a range of cardinal numbers.
Range() - Constructor for class weka.core.Range
Default constructor.
Range(String) - Constructor for class weka.core.Range
Constructor to set initial range.
RangeEditor - Class in weka.gui
A PropertyEditor that can be used to edit Range objects (really, just appropriately formatted strings).
RangeEditor() - Constructor for class weka.gui.RangeEditor
 
rangesSet() - Method in class weka.core.NormalizableDistance
Check if ranges are set.
rangesTipText() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Returns the tip text for this property.
rank() - Method in class weka.core.matrix.Matrix
Matrix rank
rank() - Method in class weka.core.matrix.SingularValueDecomposition
Effective numerical matrix rank
rankedAttributes() - Method in class weka.attributeSelection.AttributeSelection
get the final ranking of the attributes.
rankedAttributes() - Method in class weka.attributeSelection.GreedyStepwise
Produces a ranked list of attributes.
rankedAttributes() - Method in interface weka.attributeSelection.RankedOutputSearch
Returns a X by 2 list of attribute indexes and corresponding evaluations from best (highest) to worst.
rankedAttributes() - Method in class weka.attributeSelection.Ranker
Sorts the evaluated attribute list
RankedOutputSearch - Interface in weka.attributeSelection
Interface for search methods capable of producing a ranked list of attributes.
Ranker - Class in weka.attributeSelection
Ranker :

Ranks attributes by their individual evaluations.
Ranker() - Constructor for class weka.attributeSelection.Ranker
Constructor
rawOutputTipText() - Method in class weka.experiment.CrossValidationResultProducer
Returns the tip text for this property
rawOutputTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
rawOutputTipText() - Method in class weka.experiment.RandomSplitResultProducer
Returns the tip text for this property
RBFKernel - Class in weka.classifiers.functions.supportVector
The RBF kernel : K(x, y) = exp(-gamma*(x-y)^2)

Valid options are:
RBFKernel() - Constructor for class weka.classifiers.functions.supportVector.RBFKernel
default constructor - does nothing.
RBFKernel(Instances, int, double) - Constructor for class weka.classifiers.functions.supportVector.RBFKernel
Creates a new RBFKernel instance.
rchisq(int, double, Random) - Static method in class weka.core.matrix.Maths
Generates a sample of a Chi-square distribution.
RCURLY - Static variable in interface weka.core.json.sym
 
RDG1 - Class in weka.datagenerators.classifiers.classification
A data generator that produces data randomly by producing a decision list.
The decision list consists of rules.
Instances are generated randomly one by one.
RDG1() - Constructor for class weka.datagenerators.classifiers.classification.RDG1
initializes the generator with default values
read(String) - Static method in class weka.core.converters.ConverterUtils.DataSource
convencience method for loading a dataset in batch mode.
read(InputStream) - Static method in class weka.core.converters.ConverterUtils.DataSource
convencience method for loading a dataset in batch mode from a stream.
read(Loader) - Static method in class weka.core.converters.ConverterUtils.DataSource
convencience method for loading a dataset in batch mode.
read(Reader) - Static method in class weka.core.json.JSONNode
Reads the JSON object from the given reader.
read(BufferedReader) - Static method in class weka.core.matrix.Matrix
Read a matrix from a stream.
read(String) - Static method in class weka.core.SerializationHelper
deserializes the given file and returns the object from it.
read(InputStream) - Static method in class weka.core.SerializationHelper
deserializes from the given stream and returns the object from it.
read(String) - Method in class weka.core.Stopwords
Generates a new Stopwords object from the given file
read(File) - Method in class weka.core.Stopwords
Generates a new Stopwords object from the given file
read(BufferedReader) - Method in class weka.core.Stopwords
Generates a new Stopwords object from the reader.
read(String) - Static method in class weka.core.xml.KOML
reads the XML-serialized object from the given file
read(File) - Static method in class weka.core.xml.KOML
reads the XML-serialized object from the given file
read(InputStream) - Static method in class weka.core.xml.KOML
reads the XML-serialized object from a stream
read(String) - Method in class weka.core.xml.XMLDocument
parses the given XML string (can be XML or a filename) and returns a DOM Document.
read(File) - Method in class weka.core.xml.XMLDocument
parses the given file and returns a DOM document.
read(InputStream) - Method in class weka.core.xml.XMLDocument
parses the given stream and returns a DOM document.
read(Reader) - Method in class weka.core.xml.XMLDocument
parses the given reader and returns a DOM document.
read(String) - Method in class weka.core.xml.XMLSerialization
parses the given XML string (can be XML or a filename) and returns an Object generated from the representation
read(File) - Method in class weka.core.xml.XMLSerialization
parses the given file and returns a DOM document
read(InputStream) - Method in class weka.core.xml.XMLSerialization
parses the given stream and returns a DOM document
read(Reader) - Method in class weka.core.xml.XMLSerialization
parses the given reader and returns a DOM document
read() - Method in class weka.core.xml.XMLSerializationMethodHandler
returns the handler for read methods
read(String) - Static method in class weka.core.xml.XStream
reads the XML-serialized object from the given file
read(File) - Static method in class weka.core.xml.XStream
reads the XML-serialized object from the given file
read(InputStream) - Static method in class weka.core.xml.XStream
reads the XML-serialized object from the given input stream
read(Reader) - Static method in class weka.core.xml.XStream
reads the XML-serialized object from the given Reader
read(String) - Static method in class weka.experiment.Experiment
Loads an experiment from a file.
readAll(String) - Static method in class weka.core.SerializationHelper
deserializes the given file and returns the objects from it.
readAll(InputStream) - Static method in class weka.core.SerializationHelper
deserializes from the given stream and returns the object from it.
readBeanConnection(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the BeanConnection from the given DOM node.
readBeanInstance(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the BeanInstance from the given DOM node.
readBeanVisual(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the BeanVisual from the given DOM node.
readBIF(String) - Method in class weka.gui.graphvisualizer.GraphVisualizer
BIF reader
Reads a graph description in XMLBIF03 from a string
readBIF(InputStream) - Method in class weka.gui.graphvisualizer.GraphVisualizer
BIF reader
Reads a graph description in XMLBIF03 from an InputStrem
readBIFFromFile(String) - Method in class weka.classifiers.bayes.net.GUI
BIF reader
Reads a graph description in XMLBIF03 from an file with name sFileName
readBooleanFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the primitive from the given DOM node.
readByteFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the primitive from the given DOM node.
readCharFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the primitive from the given DOM node.
readCollection(Element) - Method in class weka.core.xml.XMLBasicSerialization
builds the Collection from the given DOM node.
readColor(Element) - Method in class weka.core.xml.XMLBasicSerialization
builds the Color object from the given DOM node.
readColor(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the Color from the given DOM node.
readColorUIResource(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the ColorUIResource from the given DOM node.
readCostMatrix(Element) - Method in class weka.core.xml.XMLBasicSerialization
builds the Matrix from the given DOM node.
readCostMatrixOld(Element) - Method in class weka.core.xml.XMLBasicSerialization
builds the Matrix (old) from the given DOM node.
readDefaultListModel(Element) - Method in class weka.core.xml.XMLBasicSerialization
builds the DefaultListModel from the given DOM node.
readDimension(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the Dimension from the given DOM node.
readDOT(Reader) - Method in class weka.gui.graphvisualizer.GraphVisualizer
Dot reader
Reads a graph description in DOT format from a string
readDoubleFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the primitive from the given DOM node.
ReaderToTextPane - Class in weka.gui
A class that sends all lines from a reader to a JTextPane component.
ReaderToTextPane(Reader, JTextPane) - Constructor for class weka.gui.ReaderToTextPane
Sets up the thread.
ReaderToTextPane(Reader, JTextPane, Color) - Constructor for class weka.gui.ReaderToTextPane
Sets up the thread.
readFloatFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the primitive from the given DOM node.
readFlow(File) - Method in interface weka.knowledgeflow.FlowLoader
Load a flow from the supplied file
readFlow(InputStream) - Method in interface weka.knowledgeflow.FlowLoader
Load a flow from the supplied input stream
readFlow(Reader) - Method in interface weka.knowledgeflow.FlowLoader
Load a flow from the supplied reader
readFlow(File) - Method in class weka.knowledgeflow.JSONFlowLoader
Read the flow from the supplied file
readFlow(InputStream) - Method in class weka.knowledgeflow.JSONFlowLoader
Read the flow from the supplied input stream
readFlow(Reader) - Method in class weka.knowledgeflow.JSONFlowLoader
Read the flow from the supplied reader
readFlow(File) - Static method in class weka.knowledgeflow.JSONFlowUtils
Read a flow from the supplied file
readFlow(File, boolean) - Static method in class weka.knowledgeflow.JSONFlowUtils
Read a flow from the supplied file
readFlow(InputStream) - Static method in class weka.knowledgeflow.JSONFlowUtils
Read a Flow from the supplied input stream
readFlow(InputStream, boolean) - Static method in class weka.knowledgeflow.JSONFlowUtils
Read a Flow from the supplied input stream
readFlow(Reader) - Static method in class weka.knowledgeflow.JSONFlowUtils
Read a flow from the supplied reader
readFlow(Reader, boolean) - Static method in class weka.knowledgeflow.JSONFlowUtils
Read a flow from the supplied reader
readFlow(File) - Method in class weka.knowledgeflow.LegacyFlowLoader
Deserialize a legacy flow from the supplied file
readFlow(InputStream) - Method in class weka.knowledgeflow.LegacyFlowLoader
Deserialize a legacy flow from the supplied input stream
readFlow(Reader) - Method in class weka.knowledgeflow.LegacyFlowLoader
Deserialize a legacy flow from the supplied reader
readFont(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the Font from the given DOM node.
readFontUIResource(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the FontUIResource from the given DOM node.
readFromXML(Object, String, Element) - Method in class weka.core.xml.XMLSerialization
adds the specific node to the object via a set method
readFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the object from the given DOM node.
readInstance(Instances) - Method in class weka.core.converters.ArffLoader.ArffReader
Reads a single instance using the tokenizer and returns it.
readInstance(Instances, boolean) - Method in class weka.core.converters.ArffLoader.ArffReader
Reads a single instance using the tokenizer and returns it.
readInstance(Reader) - Method in class weka.core.Instances
Deprecated.
instead of using this method in conjunction with the readInstance(Reader) method, one should use the ArffLoader or DataSource class instead.
readIntFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the primitive from the given DOM node.
readLoader(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the Loader from the given DOM node.
readLongFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the primitive from the given DOM node.
readMap(Element) - Method in class weka.core.xml.XMLBasicSerialization
builds the Map from the given DOM node.
readMatrix(Element) - Method in class weka.core.xml.XMLBasicSerialization
builds the Matrix from the given DOM node.
readMatrixOld(Element) - Method in class weka.core.xml.XMLBasicSerialization
builds the Matrix (old) from the given DOM node.
readMetaBean(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the MetaBean from the given DOM node.
readOldFormat(Reader) - Method in class weka.classifiers.CostMatrix
Loads a cost matrix in the old format from a reader.
readPoint(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the Point from the given DOM node.
readProperties(String) - Static method in class weka.core.ResourceUtils
Reads properties that inherit from three locations.
readProperties(String, ClassLoader) - Static method in class weka.core.ResourceUtils
Reads properties that inherit from three locations.
readProperties(String) - Static method in class weka.core.Utils
Reads properties that inherit from three locations.
readProperties(String, ClassLoader) - Static method in class weka.core.Utils
Reads properties that inherit from three locations.
readPropertyNode(Element) - Method in class weka.experiment.xml.XMLExperiment
builds the PropertyNode from the given DOM node.
readSaver(Element) - Method in class weka.gui.beans.xml.XMLBeans
builds the Saver from the given DOM node.
readShortFromXML(Element) - Method in class weka.core.xml.XMLSerialization
builds the primitive from the given DOM node.
readyToVectorize() - Method in class weka.core.DictionaryBuilder
Returns true if this DictionaryBuilder is ready to vectorize incoming instances
realCount - Variable in class weka.core.AttributeStats
The number of real-like values (i.e.
REALSparseArray - Class in weka.core.pmml.jaxbbindings
Java class for REAL-SparseArray element declaration.
REALSparseArray() - Constructor for class weka.core.pmml.jaxbbindings.REALSparseArray
 
recall(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the recall with respect to a particular class.
recall(int) - Method in class weka.classifiers.Evaluation
Calculate the recall with respect to a particular class.
RECALL_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: Recall
RECTANGLE - Static variable in class weka.gui.visualize.VisualizePanelEvent
 
redo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
redo the last edit action performed on the network.
reduce_table() - Method in class weka.core.expressionlanguage.parser.Parser
Access to reduce_goto table.
reduce_table() - Method in class weka.core.json.Parser
Access to reduce_goto table.
reducedErrorPruningTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
reducedErrorPruningTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
reduceDimensionality(Instances) - Method in class weka.attributeSelection.AttributeSelection
reduce the dimensionality of a set of instances to include only those attributes chosen by the last run of attribute selection.
reduceDimensionality(Instance) - Method in class weka.attributeSelection.AttributeSelection
reduce the dimensionality of a single instance to include only those attributes chosen by the last run of attribute selection.
reduceDL(double, boolean) - Method in class weka.classifiers.rules.RuleStats
Try to reduce the DL of the ruleset by testing removing the rules one by one in reverse order and update all the stats
reduceMatrix(double[][]) - Static method in class weka.core.ContingencyTables
Reduces a matrix by deleting all zero rows and columns.
reduceNumberOfDistanceCalcsViaCanopiesTipText() - Method in class weka.clusterers.SimpleKMeans
Returns the tip text for this property.
refresh() - Method in class weka.gui.arffviewer.ArffViewer
validates and repaints the frame
refresh() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
validates and repaints the frame
refreshCache(PrintStream...) - Static method in class weka.core.WekaPackageManager
Refresh the local copy of the package meta data
refreshFreqTipText() - Method in class weka.gui.beans.StripChart
GUI Tip text
refreshFreqTipText() - Method in class weka.knowledgeflow.steps.StripChart
GUI Tip text
refreshGOEProperties() - Static method in class weka.core.WekaPackageManager
Refresh the generic object editor properties via re-running of the dynamic class discovery process.
refreshWidthTipText() - Method in class weka.gui.beans.StripChart
GUI Tip text
refreshWidthTipText() - Method in class weka.knowledgeflow.steps.StripChart
GUI Tip text
regenerateGlobalOutputProperties() - Static method in class weka.gui.GenericPropertiesCreator
Regenerate the global output properties.
regexp(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'regexp' regexp operator (to check for string matching a given regular expression)
REGEXP - Static variable in interface weka.core.expressionlanguage.parser.sym
 
RegExpFromFile - Class in weka.core.stopwords
Uses the regular expressions stored in the file for determining whether a word is a stopword (ignored if pointing to a directory).
RegExpFromFile() - Constructor for class weka.core.stopwords.RegExpFromFile
 
register(Object, Class<?>, String) - Method in class weka.core.xml.XMLSerializationMethodHandler
adds read and write methods for the given class, i.e., read&;lt;name> and write<name> ("name" is prefixed by read and write)
registerEditor(String, String) - Static method in class weka.gui.GenericObjectEditor
 
registerEditors() - Static method in class weka.gui.GenericObjectEditor
registers all the editors in Weka.
RegOptimizer - Class in weka.classifiers.functions.supportVector
Base class implementation for learning algorithm of SMOreg Valid options are:

RegOptimizer() - Constructor for class weka.classifiers.functions.supportVector.RegOptimizer
the default constructor
regOptimizerTipText() - Method in class weka.classifiers.functions.SMOreg
Returns the tip text for this property
Regression - Class in weka.classifiers.pmml.consumer
Class implementing import of PMML Regression model.
Regression(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.Regression
Constructs a new PMML Regression.
regression(Matrix, double) - Method in class weka.core.matrix.Matrix
Performs a (ridged) linear regression.
regression(Matrix, double[], double) - Method in class weka.core.matrix.Matrix
Performs a weighted (ridged) linear regression.
regression(Matrix, double) - Method in class weka.core.Matrix
Deprecated.
Performs a (ridged) linear regression.
regression(Matrix, double[], double) - Method in class weka.core.Matrix
Deprecated.
Performs a weighted (ridged) linear regression.
Regression - Class in weka.core.pmml.jaxbbindings
Java class for Regression element declaration.
Regression() - Constructor for class weka.core.pmml.jaxbbindings.Regression
 
RegressionAnalysis - Class in weka.classifiers.evaluation
Analyzes linear regression model by using the Student's t-test on each coefficient.
RegressionAnalysis() - Constructor for class weka.classifiers.evaluation.RegressionAnalysis
 
RegressionByDiscretization - Class in weka.classifiers.meta
A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.
RegressionByDiscretization() - Constructor for class weka.classifiers.meta.RegressionByDiscretization
Default constructor.
RegressionGenerator - Class in weka.datagenerators
Abstract class for data generators for regression classifiers.
RegressionGenerator() - Constructor for class weka.datagenerators.RegressionGenerator
initializes the generator with default values
RegressionModel - Class in weka.core.pmml.jaxbbindings
Java class for RegressionModel element declaration.
RegressionModel() - Constructor for class weka.core.pmml.jaxbbindings.RegressionModel
 
REGRESSIONNORMALIZATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for REGRESSIONNORMALIZATIONMETHOD.
RegressionSplitEvaluator - Class in weka.experiment
A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.
RegressionSplitEvaluator() - Constructor for class weka.experiment.RegressionSplitEvaluator
No args constructor.
RegressionTable - Class in weka.core.pmml.jaxbbindings
Java class for RegressionTable element declaration.
RegressionTable() - Constructor for class weka.core.pmml.jaxbbindings.RegressionTable
 
RegressionTable(String) - Constructor for class weka.core.pmml.jaxbbindings.RegressionTable
 
RegSMO - Class in weka.classifiers.functions.supportVector
Implementation of SMO for support vector regression as described in :

A.J.
RegSMO() - Constructor for class weka.classifiers.functions.supportVector.RegSMO
default constructor
RegSMOImproved - Class in weka.classifiers.functions.supportVector
Learn SVM for regression using SMO with Shevade, Keerthi, et al.
RegSMOImproved() - Constructor for class weka.classifiers.functions.supportVector.RegSMOImproved
 
reInitialize() - Static method in class weka.gui.beans.KnowledgeFlowApp
 
relation() - Method in class weka.core.Attribute
Returns the header info for a relation-valued attribute, null if the attribute is not relation-valued.
relation(int) - Method in class weka.core.Attribute
Returns a value of a relation-valued attribute.
RELATION - Static variable in class weka.core.json.JSONInstances
the relation name.
RELATION_NAME - Static variable in class weka.classifiers.evaluation.CostCurve
The name of the relation used in cost curve datasets
RELATION_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
The name of the relation used in threshold curve datasets
RELATIONAL - Static variable in class weka.core.Attribute
Constant set for relation-valued attributes.
RelationalAttributeInfo - Class in weka.core
Stores information for relational attributes.
RelationalAttributeInfo(Instances) - Constructor for class weka.core.RelationalAttributeInfo
Constructs the information object based on the given parameter.
RelationalLocator - Class in weka.core
This class locates and records the indices of relational attributes,
RelationalLocator(Instances) - Constructor for class weka.core.RelationalLocator
Initializes the RelationalLocator with the given data.
RelationalLocator(Instances, int, int) - Constructor for class weka.core.RelationalLocator
Initializes the RelationalLocator with the given data.
RelationalLocator(Instances, int[]) - Constructor for class weka.core.RelationalLocator
Initializes the RelationalLocator with the given data.
relationalValue(int) - Method in class weka.core.AbstractInstance
Returns the relational value of a relational attribute.
relationalValue(Attribute) - Method in class weka.core.AbstractInstance
Returns the relational value of a relational attribute.
relationalValue(int) - Method in interface weka.core.Instance
Returns the relational value of a relational attribute.
relationalValue(Attribute) - Method in interface weka.core.Instance
Returns the relational value of a relational attribute.
relationFindTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
relationForTableNameTipText() - Method in class weka.core.converters.DatabaseSaver
Returns the tip text fo this property.
relationName() - Method in class weka.core.Instances
Returns the relation's name.
relationNameTipText() - Method in class weka.datagenerators.DataGenerator
Returns the tip text for this property
relationReplaceTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
relativeAbsoluteError() - Method in class weka.classifiers.evaluation.Evaluation
Returns the relative absolute error.
relativeAbsoluteError() - Method in class weka.classifiers.Evaluation
Returns the relative absolute error.
relativeDL(int, double, boolean) - Method in class weka.classifiers.rules.RuleStats
The description length (DL) of the ruleset relative to if the rule in the given position is deleted, which is obtained by:
MDL if the rule exists - MDL if the rule does not exist
Note the minimal possible DL of the ruleset is calculated(i.e.
ReliefFAttributeEval - Class in weka.attributeSelection
ReliefFAttributeEval :

Evaluates the worth of an attribute by repeatedly sampling an instance and considering the value of the given attribute for the nearest instance of the same and different class.
ReliefFAttributeEval() - Constructor for class weka.attributeSelection.ReliefFAttributeEval
Constructor
RemoteBoundaryVisualizerSubTask - Class in weka.gui.boundaryvisualizer
Class that encapsulates a sub task for distributed boundary visualization.
RemoteBoundaryVisualizerSubTask() - Constructor for class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
 
RemoteEngine - Class in weka.experiment
A general purpose server for executing Task objects sent via RMI.
RemoteEngine(String) - Constructor for class weka.experiment.RemoteEngine
Constructor
RemoteExperiment - Class in weka.experiment
Holds all the necessary configuration information for a distributed experiment.
RemoteExperiment() - Constructor for class weka.experiment.RemoteExperiment
Construct a new RemoteExperiment using an empty Experiment as base Experiment
RemoteExperiment(Experiment) - Constructor for class weka.experiment.RemoteExperiment
Construct a new RemoteExperiment using a base Experiment
RemoteExperimentEvent - Class in weka.experiment
Class encapsulating information on progress of a remote experiment
RemoteExperimentEvent(boolean, boolean, boolean, String) - Constructor for class weka.experiment.RemoteExperimentEvent
Constructor
RemoteExperimentListener - Interface in weka.experiment
Interface for classes that want to listen for updates on RemoteExperiment progress
remoteExperimentStatus(RemoteExperimentEvent) - Method in interface weka.experiment.RemoteExperimentListener
Called when progress has been made in a remote experiment
RemoteExperimentSubTask - Class in weka.experiment
Class to encapsulate an experiment as a task that can be executed on a remote host.
RemoteExperimentSubTask() - Constructor for class weka.experiment.RemoteExperimentSubTask
 
RemoteResult - Class in weka.gui.boundaryvisualizer
Class that encapsulates a result (and progress info) for part of a distributed boundary visualization.
RemoteResult(int, int) - Constructor for class weka.gui.boundaryvisualizer.RemoteResult
Creates a new RemoteResult instance.
remove(String) - Method in class weka.core.ClassCache
Removes the classname from the cache.
remove(int) - Method in class weka.core.Instances
Removes the instance at the given position.
remove(Object) - Method in class weka.core.ProtectedProperties
Overrides a method to prevent the properties from being modified.
remove(String) - Method in class weka.core.Stopwords
removes the word from the stopword list
remove(PrintStream) - Method in class weka.core.Tee
removes the given PrintStream from the list.
remove(int) - Method in class weka.core.Tee
removes the given PrintStream from the list.
remove(Object) - Method in class weka.core.Trie
Removes a single instance of the specified element from this collection, if it is present.
remove() - Method in class weka.core.Trie.TrieIterator
ignored
remove(String) - Method in class weka.core.Trie.TrieNode
Removes a suffix from the trie.
remove(String) - Method in class weka.core.xml.MethodHandler
removes the method for the property specified by the display name from its internal list.
remove(Class<?>) - Method in class weka.core.xml.MethodHandler
removes the method for the specified class from its internal list.
Remove - Class in weka.filters.unsupervised.attribute
An filter that removes a range of attributes from the dataset.
Remove() - Constructor for class weka.filters.unsupervised.attribute.Remove
Constructor so that we can initialize the Range variable properly.
remove(Integer...) - Method in class weka.gui.beans.BeanConnection
Remove this connection
remove(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Removes the element at the specified position in this list.
remove(int, int) - Method in class weka.gui.scripting.SyntaxDocument
Applies syntax highlighting after the document has been updated.
REMOVE_CHILDREN - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
 
REMOVE_POINT_RADIUS - Static variable in class weka.gui.boundaryvisualizer.BoundaryPanel
The distance we can click away from a point in the GUI and still remove it.
removeActionListener(ActionListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Remove a listener
removeAll(Collection<?>) - Method in class weka.core.Trie
Removes all this collection's elements that are also contained in the specified collection
removeAllBeansFromContainer(JComponent, Integer...) - Static method in class weka.gui.beans.BeanInstance
Removes all beans from containing component
removeAllElements() - Method in class weka.core.FastVector
Deprecated.
Removes all components from this vector and sets its size to zero.
removeAllElements() - Method in class weka.core.Queue
Removes all objects from the queue m_Tail.m_Next.
removeAllInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
This function will remove all the inputs to this unit.
removeAllInputs() - Method in class weka.classifiers.functions.neural.NeuralNode
This function will remove all the inputs to this unit.
removeAllInstances() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Deletes all training instances from our dataset.
removeAllMissingColsTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
removeAllOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
This function will remove all outputs to this unit.
removeAllowed(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
removes the given property (display name) for the specified class from the list of allowed properties.
removeAllPlots() - Method in class weka.gui.visualize.Plot2D
Clears all plots
removeAllPlots() - Method in class weka.gui.visualize.VisualizePanel
Removes all the plots.
removeBatchAssociationRulesListener(BatchAssociationRulesListener) - Method in class weka.gui.beans.Associator
Remove a batch association rules listener
removeBatchClassifierListener(BatchClassifierListener) - Method in class weka.gui.beans.Classifier
Remove a batch classifier listener
removeBatchClustererListener(BatchClustererListener) - Method in class weka.gui.beans.Clusterer
Remove a batch clusterer listener
removeBean(JComponent, Integer...) - Method in class weka.gui.beans.BeanInstance
Remove this bean from the list of beans and from the containing component
removeBeanInstances(JComponent, Integer) - Static method in class weka.gui.beans.BeanInstance
Remove the vector of bean instances from the supplied index in the list of collections.
RemoveByName - Class in weka.filters.unsupervised.attribute
Removes attributes based on a regular expression matched against their names.
RemoveByName() - Constructor for class weka.filters.unsupervised.attribute.RemoveByName
 
removeCancelListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
This is used to remove an action listener from the cancel button.
removeCapabilitiesFilter() - Method in class weka.gui.GenericObjectEditor
Removes the current Capabilities filter.
removeCapabilitiesFilterListener(Explorer.CapabilitiesFilterChangeListener) - Method in class weka.gui.explorer.Explorer
Removes the specified listener from the set of listeners if it is present.
removeChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffPanel
Removes a ChangeListener from the panel
removeChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffTable
Removes a ChangeListener from the panel
removeChartListener(ChartListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Remove a chart listener
removeChild(FlowByExpression.ExpressionNode) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
Remove a child from this bracket node
removeChildFrame(Container) - Method in class weka.gui.GUIChooserApp
tries to remove the child frame, it returns true if it could do such.
removeChildFrame(Container) - Method in class weka.gui.Main
tries to remove the child frame, it returns true if it could do such.
removeClassColumnTipText() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns the tip text for this property
removeClassLoaderForPackage(String) - Method in class weka.core.WekaPackageClassLoaderManager
Removes the named package classloader from those managed by this class.
removeConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Associator
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Classifier
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Clusterer
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConfigurationListener(ConfigurationListener) - Method in interface weka.gui.beans.ConfigurationProducer
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Filter
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConnectionList(Integer) - Static method in class weka.gui.beans.BeanConnection
Remove the list of connections at the supplied index
removeConnectionListener(ConnectionListener) - Method in class weka.gui.sql.ConnectionPanel
removes the given listener from the list of listeners.
removeConnectionListener(ConnectionListener) - Method in class weka.gui.sql.SqlViewer
removes the given listener from the list of listeners.
removeConnections(BeanInstance, Integer...) - Static method in class weka.gui.beans.BeanConnection
Remove all connections for a bean.
removeDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassAssigner
 
removeDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassValuePicker
 
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.AbstractDataSource
Remove a listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Appender
Remove a data source listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassAssigner
 
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassValuePicker
 
removeDataSourceListener(DataSourceListener) - Method in interface weka.gui.beans.DataSource
Remove a data source listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.DataVisualizer
Remove a listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Filter
Remove a data source listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.FlowByExpression
 
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
 
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Join
Remove a data souce listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Loader
Remove a listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.PredictionAppender
Remove a datasource listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Sorter
Remove a datasource listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringLabeler
Remove a datasource listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringReplacer
Remove a data source listener
RemoveDuplicates - Class in weka.filters.unsupervised.instance
Removes all duplicate instances from the first batch of data it receives.
RemoveDuplicates() - Constructor for class weka.filters.unsupervised.instance.RemoveDuplicates
 
removeElement(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Removes the first (lowest-indexed) occurrence of the argument from this list.
removeElementAt(int) - Method in class weka.core.FastVector
Deprecated.
Deletes an element from this vector.
removeExecutionFinishedCallback(ExecutionFinishedCallback) - Method in interface weka.knowledgeflow.FlowExecutor
Remove a callback
removeExecutionFinishedCallback(ExecutionFinishedCallback) - Method in class weka.knowledgeflow.FlowRunner
Remove a callback
removeExplorerProps(String) - Static method in class weka.core.WekaPackageManager
Remove any ExplorerDefaults properties specified in the supplied package
removeFilterNameTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
RemoveFolds - Class in weka.filters.unsupervised.instance
This filter takes a dataset and outputs a specified fold for cross validation.
RemoveFolds() - Constructor for class weka.filters.unsupervised.instance.RemoveFolds
 
RemoveFrequentValues - Class in weka.filters.unsupervised.instance
Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instances accordingly.
RemoveFrequentValues() - Constructor for class weka.filters.unsupervised.instance.RemoveFrequentValues
 
removeFromDisabledList(List<String>) - Static method in class weka.core.PluginManager
Remove the supplied list of fully qualified class names to the disabled list
removeFromDisabledList(String) - Static method in class weka.core.PluginManager
Remove the supplied fully qualified class name from the list of disabled plugins
removeFromDisabledList(List<String>) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Remove the supplied list of fully qualified class names to the disabled list
removeFromDisabledList(String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Remove the supplied fully qualified class name from the list of disabled plugins
removeFromPluginBeanProps(File) - Static method in class weka.gui.beans.BeansProperties
 
removeFromPluginBeanProps(File) - Static method in class weka.gui.beans.KnowledgeFlowApp
Remove a plugin bean props file
removeGraphListener(GraphListener) - Method in class weka.gui.beans.Associator
Remove a graph listener
removeGraphListener(GraphListener) - Method in class weka.gui.beans.Classifier
Remove a graph listener
removeGraphListener(GraphListener) - Method in class weka.gui.beans.Clusterer
Remove a graph listener
removeHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.ConnectionPanel
removes the given listener from the list of listeners.
removeHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.QueryPanel
removes the given listener from the list of listeners.
removeHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.SqlViewer
removes the given listener from the list of listeners.
removeIgnored(String) - Method in class weka.core.xml.PropertyHandler
removes the given display name from the ignore list.
removeIgnored(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
removes the given display name from the ignore list of the class.
removeImageListener(ImageListener) - Method in class weka.gui.beans.DataVisualizer
Remove an image listener
removeImageListener(ImageListener) - Method in class weka.gui.beans.ModelPerformanceChart
Remove an image listener
removeIncomingConnection(String, StepManagerImpl) - Method in class weka.knowledgeflow.StepManagerImpl
Remove an incoming connection to this step of the specified type
removeIncrementalClassifierListener(IncrementalClassifierListener) - Method in class weka.gui.beans.Classifier
Remove an incremental classifier listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.AbstractDataSource
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Appender
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.ClassAssigner
 
removeInstanceListener(InstanceListener) - Method in interface weka.gui.beans.DataSource
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Filter
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.FlowByExpression
 
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
 
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Join
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Loader
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.PredictionAppender
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Sorter
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringLabeler
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringReplacer
Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceJoiner
 
removeInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceLoader
 
removeInstanceListener(InstanceListener) - Method in interface weka.gui.streams.InstanceProducer
 
removeKeyword(String) - Method in class weka.gui.scripting.SyntaxDocument
Removes an association between a keyword with a particular formatting style.
removeLast() - Method in class weka.classifiers.rules.RuleStats
Remove the last rule in the ruleset as well as it's stats.
removeLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
Method to remove a LayoutCompleteEventListener.
removeLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in interface weka.gui.graphvisualizer.LayoutEngine
This method removes a LayoutCompleteEventListener from the LayoutEngine.
removeLinkAt(int) - Method in class weka.attributeSelection.BestFirst.LinkedList2
removes an element (Link) at a specific index from the list.
RemoveMisclassified - Class in weka.filters.unsupervised.instance
A filter that removes instances which are incorrectly classified.
RemoveMisclassified() - Constructor for class weka.filters.unsupervised.instance.RemoveMisclassified
 
removeNotify() - Method in class weka.gui.beans.FileEnvironmentField
Deprecated.
 
removeNotify() - Method in class weka.gui.FileEnvironmentField
 
removeNotify() - Method in class weka.gui.PropertyPanel
Cleans up when the panel is destroyed.
removeOkListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
This is used to remove an action listener from the ok button.
removeOldClassTipText() - Method in class weka.filters.supervised.attribute.AddClassification
Returns the tip text for this property.
removeOutgoingConnection(String, StepManagerImpl) - Method in class weka.knowledgeflow.StepManagerImpl
Remove an outgoing connection from this step of the specified type
RemovePercentage - Class in weka.filters.unsupervised.instance
A filter that removes a given percentage of a dataset.
RemovePercentage() - Constructor for class weka.filters.unsupervised.instance.RemovePercentage
 
removePlotNotificationListener(StripChart.PlotNotificationListener) - Method in class weka.knowledgeflow.steps.StripChart
Remove a plot notification listener
removePlugin(String, String) - Static method in class weka.core.PluginManager
Remove a plugin.
removePlugin(String, String) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Remove a plugin.
removePlugins(String, List<String>) - Static method in class weka.core.PluginManager
Remove plugins of a specific type.
removePlugins(String, List<String>) - Static method in class weka.gui.beans.PluginManager
Deprecated.
Remove plugins of a specific type.
removePreBuiltClassifier(Classifier) - Method in class weka.classifiers.meta.Vote
Remove a prebuilt classifier from the list to use in the ensemble
removePropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.AbstractDataSource
Remove a property change listener from this bean
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.AssociatorCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.BeanVisual
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassAssignerCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassValuePickerCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClustererCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
Remove a property change listener
removePropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.DataVisualizer
Remove a property change listener from this bean
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.FilterCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.LoaderCustomizer
Remove a property change listener
removePropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
Remove a property change listener from this bean
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SaverCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.StripChartCustomizer
Remove a property change listener
removePropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.TextViewer
Remove a property change listener from this bean
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer
Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.ColorEditor
 
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.CostMatrixEditor
Removes an object from the list of those that wish to be informed when the cost matrix changes.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.EnvironmentField
 
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.AbstractSetupPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupModePanel
Removes a PropertyChangeListener who will be notified of value changes.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SimpleSetupPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.explorer.PreprocessPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericArrayEditor
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericObjectEditor
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PasswordField
 
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PropertySheetPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SetInstancesPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SimpleDateFormatEditor
Removes an object from the list of those that wish to be informed when the date format changes.
removePropertyChangeListenersSubFlow(PropertyChangeListener) - Method in class weka.gui.beans.MetaBean
 
removeQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.QueryPanel
removes the given listener from the list of listeners.
removeQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.SqlViewer
removes the given listener from the list of listeners.
RemoveRange - Class in weka.filters.unsupervised.instance
A filter that removes a given range of instances of a dataset.
RemoveRange() - Constructor for class weka.filters.unsupervised.instance.RemoveRange
 
removeRenderingListener(BoundaryPlotter.RenderingUpdateListener) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Remove the rendering update listener
removeResult(String) - Method in class weka.gui.ResultHistoryPanel
Removes one of the result buffers from the history.
removeResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.ResultPanel
removes the given listener from the list of listeners
removeResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.SqlViewer
removes the given listener from the list of listeners.
removeResults(int[]) - Method in class weka.gui.ResultHistoryPanel
Remove the entries at the specified indices in the list
removeResults(List<String>) - Method in class weka.gui.ResultHistoryPanel
Remove the specified entries from the list
removeScriptFinishedListener(ScriptExecutionListener) - Method in class weka.gui.scripting.Script
Removes the given listener from its internal list.
removeStep(StepManagerImpl) - Method in class weka.knowledgeflow.Flow
Remove the supplied Step from this flow
removeStepOutputListener(StepOutputListener, String) - Method in class weka.knowledgeflow.StepManagerImpl
De-register non-step third party from receiving data from the managed step
removeSubstring(String, String) - Static method in class weka.core.Utils
Removes all occurrences of a string from another string.
removeTab(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
removeTab(int) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Remove/close a tab
removeTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffSortedTableModel
removes a listener from the list that is notified each time a change to the data model occurs
removeTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffTableModel
removes a listener from the list that is notified each time a change to the data model occurs
removeTableModelListener(TableModelListener) - Method in class weka.gui.sql.ResultSetTableModel
removes a listener from the list that is notified each time a change to the data model occurs.
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTestSetProducer
Remove a listener for test sets
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Remove a test set listener
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.ClassAssigner
 
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.Filter
Remove a test set listener
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.PredictionAppender
Remove a test set listener
removeTestSetListener(TestSetListener) - Method in interface weka.gui.beans.TestSetProducer
Remove a listener for test set events
removeTextListener(TextListener) - Method in class weka.gui.beans.Associator
Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.Classifier
Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.Clusterer
Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.TextViewer
Remove a text listener
removeTextNotificationListener(TextViewer.TextNotificationListener) - Method in class weka.knowledgeflow.steps.TextViewer
Remove the listener for textual results
removeThresholdDataListener(ThresholdDataListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Remove a Threshold data listener
removeTitleUpdatedListener(TitleUpdatedListener) - Method in class weka.gui.scripting.ScriptingPanel
Removes the listener from the internal list.
removeTrainingInstanceFromMouseLocation(int, int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Removes a single training instance from our dataset, if there is one that is close enough to the specified mouse location.
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Remove a training set listener
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainingSetProducer
Remove a training set listener
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.ClassAssigner
 
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.Filter
Remove a training set listener
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.PredictionAppender
Remove a training set listener
removeTrainingSetListener(TrainingSetListener) - Method in interface weka.gui.beans.TrainingSetProducer
Remove a training set listener
RemoveType - Class in weka.filters.unsupervised.attribute
Removes attributes of a given type.
RemoveType() - Constructor for class weka.filters.unsupervised.attribute.RemoveType
 
removeUnusedTipText() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Returns the tip text for this property.
RemoveUseless - Class in weka.filters.unsupervised.attribute
This filter removes attributes that do not vary at all or that vary too much.
RemoveUseless() - Constructor for class weka.filters.unsupervised.attribute.RemoveUseless
 
removeVariable(String) - Method in class weka.core.Environment
Remove a named variable from the map.
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.AbstractDataSource
Remove a vetoable change listener from this bean
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.CostBenefitAnalysis
 
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.DataVisualizer
Remove a vetoable change listener from this bean
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.GraphViewer
Remove a vetoable change listener from this bean
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
Remove a vetoable change listener from this bean
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.TextViewer
Remove a vetoable change listener from this bean
removeVisualizableErrorListener(VisualizableErrorListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Remove a visualizable error listener
RemoveWithValues - Class in weka.filters.unsupervised.instance
Filters instances according to the value of an attribute.
RemoveWithValues() - Constructor for class weka.filters.unsupervised.instance.RemoveWithValues
Default constructor
renameAttribute(int, String) - Method in class weka.core.Instances
Renames an attribute.
renameAttribute(Attribute, String) - Method in class weka.core.Instances
Renames an attribute.
RenameAttribute - Class in weka.filters.unsupervised.attribute
This filter is used for renaming attributes.
Regular expressions can be used in the matching and replacing.
See Javadoc of java.util.regex.Pattern class for more information:
http://java.sun.com/javase/6/docs/api/java/util/regex/Pattern.html

Valid options are:

RenameAttribute() - Constructor for class weka.filters.unsupervised.attribute.RenameAttribute
 
renameAttribute() - Method in class weka.gui.arffviewer.ArffPanel
renames the current attribute
renameAttribute() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
renames the current selected Attribute
renameAttributeAt(int, String) - Method in class weka.gui.arffviewer.ArffSortedTableModel
renames the attribute at the given col index
renameAttributeAt(int, String) - Method in class weka.gui.arffviewer.ArffTableModel
renames the attribute at the given col index
renameAttributeValue(int, int, String) - Method in class weka.core.Instances
Renames the value of a nominal (or string) attribute value.
renameAttributeValue(Attribute, String, String) - Method in class weka.core.Instances
Renames the value of a nominal (or string) attribute value.
renameNodeValue(int, String, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
change the name of a value of a node
RenameNominalValues - Class in weka.filters.unsupervised.attribute
Renames the values of nominal attributes.
RenameNominalValues() - Constructor for class weka.filters.unsupervised.attribute.RenameNominalValues
 
RenameRelation - Class in weka.filters
A simple filter that allows the relation name of a set of instances to be altered in various ways.
RenameRelation() - Constructor for class weka.filters.RenameRelation
 
renameStep(StepManagerImpl, String) - Method in class weka.knowledgeflow.Flow
Rename the supplied step with the supplied name
renameStep(String, String) - Method in class weka.knowledgeflow.Flow
Rename a Step.
rendererName() - Method in interface weka.gui.beans.OffscreenChartRenderer
The name of this off screen renderer
rendererName() - Method in class weka.gui.beans.WekaOffscreenChartRenderer
The name of this off screen renderer
renderHistogram(int, int, List<Instances>, String, List<String>) - Method in interface weka.gui.beans.OffscreenChartRenderer
Render histogram(s) (numeric attribute) or bar chart(s) (nominal attribute).
renderHistogram(int, int, List<Instances>, String, List<String>) - Method in class weka.gui.beans.WekaOffscreenChartRenderer
Render histogram(s) (numeric attribute) or pie chart (nominal attribute).
renderingImageUpdate() - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
Called when there is an update to rendering of the current image
renderingImageUpdate() - Method in interface weka.knowledgeflow.steps.BoundaryPlotter.RenderingUpdateListener
Called when a change (other than rendering a row) to the current plot has occurred.
renderXYLineChart(int, int, List<Instances>, String, String, List<String>) - Method in interface weka.gui.beans.OffscreenChartRenderer
Render an XY line chart
renderXYLineChart(int, int, List<Instances>, String, String, List<String>) - Method in class weka.gui.beans.WekaOffscreenChartRenderer
Render an XY line chart
renderXYScatterPlot(int, int, List<Instances>, String, String, List<String>) - Method in interface weka.gui.beans.OffscreenChartRenderer
Render an XY scatter plot
renderXYScatterPlot(int, int, List<Instances>, String, String, List<String>) - Method in class weka.gui.beans.WekaOffscreenChartRenderer
Render an XY scatter plot
Reorder - Class in weka.filters.unsupervised.attribute
A filter that generates output with a new order of the attributes.
Reorder() - Constructor for class weka.filters.unsupervised.attribute.Reorder
 
RepeatedHillClimber - Class in weka.classifiers.bayes.net.search.global
This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
RepeatedHillClimber() - Constructor for class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
 
RepeatedHillClimber - Class in weka.classifiers.bayes.net.search.local
This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
RepeatedHillClimber() - Constructor for class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
 
replaceAllBy(Stack<T>) - Method in class weka.core.neighboursearch.covertrees.Stack
Replace all elements in the stack with the elements of another given stack.
replaceAllTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the tip text for this property.
replaceAttributeAt(Attribute, int) - Method in class weka.core.Instances
Replaces the attribute at the given position (0 to numAttributes()) with the given attribute and sets all its values to be missing.
replaceMissingValues(double[]) - Method in class weka.core.BinarySparseInstance
Does nothing, since we don't support missing values.
replaceMissingValues(double[]) - Method in class weka.core.DenseInstance
Replaces all missing values in the instance with the values contained in the given array.
replaceMissingValues(double[]) - Method in interface weka.core.Instance
Replaces all missing values in the instance with the values contained in the given array.
replaceMissingValues(double[]) - Method in class weka.core.SparseInstance
Replaces all missing values in the instance with the values contained in the given array.
ReplaceMissingValues - Class in weka.filters.unsupervised.attribute
Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.
ReplaceMissingValues() - Constructor for class weka.filters.unsupervised.attribute.ReplaceMissingValues
 
replaceMissingValuesTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns the tip text for this property
replaceMissingWithMAX_VALUE(double[]) - Static method in class weka.core.Utils
Replaces all "missing values" in the given array of double values with MAX_VALUE.
ReplaceMissingWithUserConstant - Class in weka.filters.unsupervised.attribute
Replaces all missing values for nominal, string, numeric and date attributes in the dataset with user-supplied constant values.
ReplaceMissingWithUserConstant() - Constructor for class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
 
replaceStrings(String, String[], char[]) - Static method in class weka.core.Utils
Converts the specified strings in the given string to the specified characters.
replaceSubstring(String, String, String) - Static method in class weka.core.Utils
Replaces with a new string, all occurrences of a string from another string.
replaceTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Returns the tip text for this property.
ReplaceWithMissingValue - Class in weka.filters.unsupervised.attribute
A filter that can be used to introduce missing values in a dataset.
ReplaceWithMissingValue() - Constructor for class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
 
replot() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Quickly replot the display using cached probability estimates
RepositoryIndexGenerator - Class in weka.core
Class for generating html index files and supporting text files for a Weka package meta data repository.
RepositoryIndexGenerator() - Constructor for class weka.core.RepositoryIndexGenerator
 
repoZipArchiveSize() - Static method in class weka.core.WekaPackageManager
Retrieves the size (in KB) of the repository zip archive stored on the server.
representCopiesUsingWeightsTipText() - Method in class weka.classifiers.meta.Bagging
Returns the tip text for this property
REPTree - Class in weka.classifiers.trees
Fast decision tree learner.
REPTree() - Constructor for class weka.classifiers.trees.REPTree
 
requiresLog() - Method in class weka.gui.AbstractPerspective
Whether this perspective requires a graphical log to write to
requiresLog() - Method in class weka.gui.explorer.AssociationsPanel
 
requiresLog() - Method in class weka.gui.explorer.AttributeSelectionPanel
 
requiresLog() - Method in class weka.gui.explorer.ClassifierPanel
 
requiresLog() - Method in class weka.gui.explorer.ClustererPanel
 
requiresLog() - Method in class weka.gui.explorer.PreprocessPanel
 
requiresLog() - Method in interface weka.gui.Perspective
Whether this perspective requires a graphical log to write to
requiresLog() - Method in class weka.gui.SimpleCLIPanel
 
resample(Random) - Method in class weka.core.Instances
Creates a new dataset of the same size as this dataset using random sampling with replacement.
Resample - Class in weka.filters.supervised.instance
Produces a random subsample of a dataset using either sampling with replacement or without replacement.
The original dataset must fit entirely in memory.
Resample() - Constructor for class weka.filters.supervised.instance.Resample
 
Resample - Class in weka.filters.unsupervised.instance
Produces a random subsample of a dataset using either sampling with replacement or without replacement.
Resample() - Constructor for class weka.filters.unsupervised.instance.Resample
 
ResampleUtils - Class in weka.core
Helper class for resampling.
ResampleUtils() - Constructor for class weka.core.ResampleUtils
 
resampleWithWeightIfNecessary(Instances, Random) - Static method in class weka.core.ResampleUtils
Resamples the dataset using Instances.resampleWithWeights(Random) if there are any instance weights other than 1.0 set.
resampleWithWeights(Random) - Method in class weka.core.Instances
Creates a new dataset of the same size as this dataset using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, boolean[]) - Method in class weka.core.Instances
Creates a new dataset of the same size as this dataset using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, boolean) - Method in class weka.core.Instances
Creates a new dataset of the same size as this dataset using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, boolean[], boolean) - Method in class weka.core.Instances
Creates a new dataset of the same size as this dataset using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, boolean[], boolean, double) - Method in class weka.core.Instances
Creates a new dataset from this dataset using random sampling with replacement according to current instance weights.
resampleWithWeights(Random, double[]) - Method in class weka.core.Instances
Creates a new dataset of the same size as this dataset using random sampling with replacement according to the given weight vector.
resampleWithWeights(Random, double[], boolean[]) - Method in class weka.core.Instances
Creates a new dataset of the same size as this dataset using random sampling with replacement according to the given weight vector.
resampleWithWeights(Random, double[], boolean[], boolean) - Method in class weka.core.Instances
Creates a new dataset of the same size as this dataset using random sampling with replacement according to the given weight vector.
resampleWithWeights(Random, double[], boolean[], boolean, double) - Method in class weka.core.Instances
Creates a new dataset from this dataset using random sampling with replacement according to the given weight vector.
resampleWithWeights(Random, boolean[]) - Method in class weka.estimators.UnivariateMixtureEstimator
Creates a new dataset of the same size using random sampling with replacement according to the given weight vector.
ReservoirSample - Class in weka.filters.unsupervised.instance
Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter.
ReservoirSample() - Constructor for class weka.filters.unsupervised.instance.ReservoirSample
 
reset() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Reset the classifier.
reset() - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this to reset the unit for another run.
reset() - Method in class weka.classifiers.functions.neural.NeuralNode
Call this to reset the value and error for this unit, ready for the next run.
reset() - Method in class weka.classifiers.functions.SGD
Reset the classifier.
reset() - Method in class weka.classifiers.functions.SGDText
Reset the classifier.
reset() - Method in class weka.core.converters.AbstractFileLoader
Resets the loader ready to read a new data set
reset() - Method in class weka.core.converters.AbstractLoader
Default implementation sets retrieval mode to NONE
reset() - Method in class weka.core.converters.ArffLoader
Resets the Loader ready to read a new data set or the same data set again.
reset() - Method in class weka.core.converters.C45Loader
Resets the Loader ready to read a new data set or the same data set again.
reset() - Method in class weka.core.converters.ConverterUtils.DataSource
resets the loader.
reset() - Method in class weka.core.converters.CSVLoader
 
reset() - Method in class weka.core.converters.DatabaseLoader
Resets the Loader ready to read a new data set using set options
reset() - Method in class weka.core.converters.JSONLoader
Resets the Loader ready to read a new data set.
reset() - Method in class weka.core.converters.LibSVMLoader
Resets the Loader ready to read a new data set.
reset() - Method in interface weka.core.converters.Loader
Resets the Loader object ready to begin loading.
reset() - Method in class weka.core.converters.MatlabLoader
Resets the Loader ready to read a new data set.
reset() - Method in class weka.core.converters.SerializedInstancesLoader
Resets the Loader ready to read a new data set
reset() - Method in class weka.core.converters.SVMLightLoader
Resets the Loader ready to read a new data set.
reset() - Method in class weka.core.converters.TextDirectoryLoader
Resets the loader ready to read a new data set
reset() - Method in class weka.core.converters.XRFFLoader
Resets the Loader ready to read a new data set
reset() - Method in class weka.core.DictionaryBuilder
Clear the dictionary(s)
reset() - Method in class weka.core.neighboursearch.PerformanceStats
Resets all internal fields/counters.
reset() - Method in class weka.core.neighboursearch.TreePerformanceStats
Resets all internal fields/counters.
reset() - Method in class weka.knowledgeflow.StepInjectorFlowRunner
Rest the runner
reset() - Method in class weka.knowledgeflow.steps.PairedDataHelper
Reset the helper.
resetDistribution(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
Sets distribution associated with model.
resetDistribution(Instances) - Method in class weka.classifiers.trees.j48.C45Split
Sets distribution associated with model.
resetDistribution(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Sets distribution associated with model.
resetFileFilters() - Method in class weka.gui.beans.FileEnvironmentField
Deprecated.
Resets the list of choosable file filters.
resetFileFilters() - Method in class weka.gui.FileEnvironmentField
Resets the list of choosable file filters.
resetOptions() - Method in class weka.associations.Apriori
Resets the options to the default values.
resetOptions() - Method in class weka.associations.FPGrowth
Reset all options to their default values.
resetOptions() - Method in class weka.core.converters.AbstractFileSaver
resets the options
resetOptions() - Method in class weka.core.converters.AbstractSaver
resets the options
resetOptions() - Method in class weka.core.converters.ArffSaver
Resets the Saver
resetOptions() - Method in class weka.core.converters.C45Saver
Resets the Saver
resetOptions() - Method in class weka.core.converters.CSVSaver
Resets the Saver.
resetOptions() - Method in class weka.core.converters.DatabaseLoader
Resets the Loader to the settings in either the default DatabaseUtils.props or any property file that the user has specified via setCustomPropsFile().
resetOptions() - Method in class weka.core.converters.DatabaseSaver
Resets the Saver ready to save a new data set.
resetOptions() - Method in class weka.core.converters.DictionarySaver
 
resetOptions() - Method in class weka.core.converters.JSONSaver
Resets the Saver.
resetOptions() - Method in class weka.core.converters.LibSVMSaver
Resets the Saver
resetOptions() - Method in class weka.core.converters.MatlabSaver
Resets the Saver.
resetOptions() - Method in class weka.core.converters.SerializedInstancesSaver
Resets the Saver.
resetOptions() - Method in class weka.core.converters.SVMLightSaver
Resets the Saver.
resetOptions() - Method in class weka.core.converters.XRFFSaver
Resets the Saver
resetStructure() - Method in class weka.core.converters.AbstractSaver
Resets the structure (header information of the instances)
resetStructure() - Method in class weka.core.converters.DatabaseLoader
Resets the structure of instances
resetTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
resetWriter() - Method in class weka.core.converters.AbstractFileSaver
Sets the writer to null.
resetWriter() - Method in class weka.core.converters.DictionarySaver
 
resetWriter() - Method in class weka.core.converters.SerializedInstancesSaver
Resets the writer, setting writer and objectstream to null.
ResidualModelSelection - Class in weka.classifiers.trees.lmt
Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals.
ResidualModelSelection(int) - Constructor for class weka.classifiers.trees.lmt.ResidualModelSelection
Constructor to create ResidualModelSelection object.
ResidualSplit - Class in weka.classifiers.trees.lmt
Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals of the LogitBoost algorithm.
ResidualSplit(int) - Constructor for class weka.classifiers.trees.lmt.ResidualSplit
Creates a split object
RESOURCE_INTENSIVE_EXECUTOR_SERVICE_NUM_THREADS - Static variable in class weka.knowledgeflow.BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults
Default (0) means use as many threads as there are cpu processors
RESOURCE_INTENSIVE_EXECUTOR_SERVICE_NUM_THREADS_KEY - Static variable in class weka.knowledgeflow.BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults
 
ResourceUtils - Class in weka.core
Helper for resources.
ResourceUtils() - Constructor for class weka.core.ResourceUtils
 
restoreBeans(int, int) - Method in class weka.gui.beans.MetaBean
 
restoreData(Object) - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
 
restoreData(Object) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set a map of images.
restoreData(Object) - Method in interface weka.knowledgeflow.steps.DataCollector
Set the data for this collector
restoreData(Object) - Method in class weka.knowledgeflow.steps.DataVisualizer
 
restoreData(Object) - Method in class weka.knowledgeflow.steps.ImageViewer
Restore data for this step.
restoreData(Object) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Restore the data (plots) for this step
restoreData(Object) - Method in class weka.knowledgeflow.steps.TextViewer
Restore/set the data in this step
restoreWeights() - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this to have the connection restore from the saved weights.
restoreWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
Call this to have the connection restore from the saved weights.
restoreWindows() - Method in class weka.gui.Main
restores all windows.
resultChanged(ResultChangedEvent) - Method in interface weka.gui.sql.event.ResultChangedListener
This method gets called when a query has been executed.
resultChanged(ResultChangedEvent) - Method in class weka.gui.sql.SqlViewer
This method gets called when a query has been executed.
resultChanged(ResultChangedEvent) - Method in class weka.gui.sql.SqlViewerDialog
This method gets called when a query has been executed.
ResultChangedEvent - Class in weka.gui.sql.event
An event that is generated when a different Result is activated in the ResultPanel.
ResultChangedEvent(Object, String, String, String, String) - Constructor for class weka.gui.sql.event.ResultChangedEvent
constructs the event
ResultChangedListener - Interface in weka.gui.sql.event
A listener that is notified if another Result is activated in the ResultPanel.
RESULTFEATURE - Enum in weka.core.pmml.jaxbbindings
Java class for RESULT-FEATURE.
ResultField - Class in weka.core.pmml.jaxbbindings
Java class for ResultField element declaration.
ResultField() - Constructor for class weka.core.pmml.jaxbbindings.ResultField
 
ResultHistoryPanel - Class in weka.gui
A component that accepts named stringbuffers and displays the name in a list box.
ResultHistoryPanel(JTextComponent) - Constructor for class weka.gui.ResultHistoryPanel
Create the result history object
ResultHistoryPanel.RDeleteListener - Interface in weka.gui
Interface for something to be notified when an entry in the list is deleted
ResultHistoryPanel.RKeyAdapter - Class in weka.gui
Extension of KeyAdapter that implements Serializable.
ResultHistoryPanel.RMouseAdapter - Class in weka.gui
Extension of MouseAdapter that implements Serializable.
ResultListener - Interface in weka.experiment
Interface for objects able to listen for results obtained by a ResultProducer
ResultMatrix - Class in weka.experiment
This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrix() - Constructor for class weka.experiment.ResultMatrix
initializes the matrix as 1x1 matrix.
ResultMatrix(int, int) - Constructor for class weka.experiment.ResultMatrix
initializes the matrix with the given dimensions.
ResultMatrix(ResultMatrix) - Constructor for class weka.experiment.ResultMatrix
initializes the matrix with the values from the given matrix.
ResultMatrixCSV - Class in weka.experiment
Generates the matrix in CSV ('comma-separated values') format.
ResultMatrixCSV() - Constructor for class weka.experiment.ResultMatrixCSV
initializes the matrix as 1x1 matrix.
ResultMatrixCSV(int, int) - Constructor for class weka.experiment.ResultMatrixCSV
initializes the matrix with the given dimensions.
ResultMatrixCSV(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixCSV
initializes the matrix with the values from the given matrix.
ResultMatrixGnuPlot - Class in weka.experiment
Generates output for a data and script file for GnuPlot.
ResultMatrixGnuPlot() - Constructor for class weka.experiment.ResultMatrixGnuPlot
initializes the matrix as 1x1 matrix.
ResultMatrixGnuPlot(int, int) - Constructor for class weka.experiment.ResultMatrixGnuPlot
initializes the matrix with the given dimensions.
ResultMatrixGnuPlot(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixGnuPlot
initializes the matrix with the values from the given matrix.
ResultMatrixHTML - Class in weka.experiment
Generates the matrix output as HTML.
ResultMatrixHTML() - Constructor for class weka.experiment.ResultMatrixHTML
initializes the matrix as 1x1 matrix.
ResultMatrixHTML(int, int) - Constructor for class weka.experiment.ResultMatrixHTML
initializes the matrix with the given dimensions.
ResultMatrixHTML(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixHTML
initializes the matrix with the values from the given matrix.
ResultMatrixLatex - Class in weka.experiment
Generates the matrix output in LaTeX-syntax.
ResultMatrixLatex() - Constructor for class weka.experiment.ResultMatrixLatex
initializes the matrix as 1x1 matrix.
ResultMatrixLatex(int, int) - Constructor for class weka.experiment.ResultMatrixLatex
initializes the matrix with the given dimensions.
ResultMatrixLatex(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixLatex
initializes the matrix with the values from the given matrix.
ResultMatrixPlainText - Class in weka.experiment
Generates the output as plain text (for fixed width fonts).
ResultMatrixPlainText() - Constructor for class weka.experiment.ResultMatrixPlainText
initializes the matrix as 1x1 matrix.
ResultMatrixPlainText(int, int) - Constructor for class weka.experiment.ResultMatrixPlainText
initializes the matrix with the given dimensions.
ResultMatrixPlainText(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixPlainText
initializes the matrix with the values from the given matrix.
ResultMatrixSignificance - Class in weka.experiment
Only outputs the significance indicators.
ResultMatrixSignificance() - Constructor for class weka.experiment.ResultMatrixSignificance
initializes the matrix as 1x1 matrix.
ResultMatrixSignificance(int, int) - Constructor for class weka.experiment.ResultMatrixSignificance
initializes the matrix with the given dimensions.
ResultMatrixSignificance(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixSignificance
initializes the matrix with the values from the given matrix.
ResultPanel - Class in weka.gui.sql
Represents a panel for displaying the results of a query in table format.
ResultPanel(JFrame) - Constructor for class weka.gui.sql.ResultPanel
initializes the panel
ResultProducer - Interface in weka.experiment
This interface defines the methods required for an object that produces results for different randomizations of a dataset.
resultProducerTipText() - Method in class weka.experiment.AveragingResultProducer
Returns the tip text for this property
resultProducerTipText() - Method in class weka.experiment.DatabaseResultProducer
Returns the tip text for this property
resultProducerTipText() - Method in class weka.experiment.LearningRateResultProducer
Returns the tip text for this property
ResultSetHelper - Class in weka.gui.sql
Represents an extended JTable, containing a table model based on a ResultSet and the corresponding query.
ResultSetHelper(ResultSet) - Constructor for class weka.gui.sql.ResultSetHelper
initializes the helper, with unlimited number of rows.
ResultSetHelper(ResultSet, int) - Constructor for class weka.gui.sql.ResultSetHelper
initializes the helper, with the given maximum number of rows (less than 1 means unlimited).
resultsetKey() - Method in class weka.experiment.PairedTTester
Creates a key that maps resultset numbers to their descriptions.
resultsetKey() - Method in interface weka.experiment.Tester
Creates a key that maps resultset numbers to their descriptions.
ResultSetTable - Class in weka.gui.sql
Represents an extended JTable, containing a table model based on a ResultSet and the corresponding query.
ResultSetTable(String, String, String, String, ResultSetTableModel) - Constructor for class weka.gui.sql.ResultSetTable
initializes the table
ResultSetTableCellRenderer - Class in weka.gui.sql
Handles the background colors for missing values differently than the DefaultTableCellRenderer.
ResultSetTableCellRenderer() - Constructor for class weka.gui.sql.ResultSetTableCellRenderer
initializes the Renderer with a standard color
ResultSetTableCellRenderer(Color, Color) - Constructor for class weka.gui.sql.ResultSetTableCellRenderer
initializes the Renderer with the given colors
ResultSetTableModel - Class in weka.gui.sql
The model for an SQL ResultSet.
ResultSetTableModel(ResultSet) - Constructor for class weka.gui.sql.ResultSetTableModel
initializes the model, retrieves all rows.
ResultSetTableModel(ResultSet, int) - Constructor for class weka.gui.sql.ResultSetTableModel
initializes the model, retrieves only the given amount of rows (0 means all).
ResultsPanel - Class in weka.gui.experiment
This panel controls simple analysis of experimental results.
ResultsPanel() - Constructor for class weka.gui.experiment.ResultsPanel
Creates the results panel with no initial experiment.
resumeTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
Tool tip text for resume property
resumeTipText() - Method in class weka.classifiers.meta.AdaBoostM1
Tool tip text for the resume property
resumeTipText() - Method in class weka.classifiers.meta.AdditiveRegression
Tool tip text for the resume property
resumeTipText() - Method in class weka.classifiers.meta.FilteredClassifier
Tool tip text for finalize property
resumeTipText() - Method in class weka.classifiers.meta.LogitBoost
Tool tip text for the resume property
retainAll(Collection<?>) - Method in class weka.core.Trie
Retains only the elements in this collection that are contained in the specified collection
retainStringValsTipText() - Method in class weka.core.converters.ArffLoader
Tool tip text for this property
retrieveData() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
 
retrieveData() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Get the map of completed images
retrieveData() - Method in interface weka.knowledgeflow.steps.DataCollector
Get the data that this collector has collected
retrieveData() - Method in class weka.knowledgeflow.steps.DataVisualizer
 
retrieveData() - Method in class weka.knowledgeflow.steps.ImageViewer
Retrieve the data stored in this step.
retrieveData() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Retrieve the data (plots) stored in this step
retrieveData() - Method in class weka.knowledgeflow.steps.TextViewer
Get the results stored in this step.
retrieveDir() - Method in class weka.core.converters.AbstractFileSaver
Gets the directory
retrieveDir() - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
retrieveDir() - Method in interface weka.core.converters.Saver
Gets the driectory of the output file This method is used in the KnowledgeFlow GUI.
retrieveFile() - Method in class weka.core.converters.AbstractFileLoader
get the File specified as the source
retrieveFile() - Method in class weka.core.converters.AbstractFileSaver
Gets the destination file.
retrieveFile() - Method in class weka.core.converters.ArffLoader
get the File specified as the source
retrieveFile() - Method in interface weka.core.converters.FileSourcedConverter
Return the current source file/ destination file
retrieveHeadlessEvents() - Method in class weka.gui.beans.CostBenefitAnalysis
Get the list of events processed in headless mode.
retrieveHeadlessEvents() - Method in class weka.gui.beans.DataVisualizer
Get the list of events processed in headless mode.
retrieveHeadlessEvents() - Method in interface weka.gui.beans.HeadlessEventCollector
Get the list of events processed in headless mode.
retrieveHeadlessEvents() - Method in class weka.gui.beans.ModelPerformanceChart
Get the list of events processed in headless mode.
retrieveHeadlessEvents() - Method in class weka.gui.beans.TextViewer
Get the list of events processed in headless mode.
retrieveInstances() - Method in class weka.experiment.InstanceQuery
Makes a database query using the query set through the -Q option to convert a table into a set of instances
retrieveInstances(InstanceQueryAdapter, ResultSet) - Static method in class weka.experiment.InstanceQuery
 
retrieveInstances(String) - Method in class weka.experiment.InstanceQuery
Makes a database query to convert a table into a set of instances
retrieveURL() - Method in class weka.core.converters.ArffLoader
Return the current url
retrieveURL() - Method in class weka.core.converters.JSONLoader
Return the current url.
retrieveURL() - Method in class weka.core.converters.LibSVMLoader
Return the current url.
retrieveURL() - Method in class weka.core.converters.MatlabLoader
Return the current url.
retrieveURL() - Method in class weka.core.converters.SVMLightLoader
Return the current url.
retrieveURL() - Method in interface weka.core.converters.URLSourcedLoader
Return the current url
retrieveURL() - Method in class weka.core.converters.XRFFLoader
Return the current url
returnLeaves(ArrayList<RuleNode>[]) - Method in class weka.classifiers.trees.m5.RuleNode
Return a list containing all the leaves in the tree
rev() - Method in class weka.core.matrix.DoubleVector
Returns the reverse vector
revalidate() - Method in class weka.gui.AbstractGUIApplication
Force a re-validation and repaint() of the application
revalidate() - Method in interface weka.gui.GUIApplication
Force a re-validation and repaint() of the application
REVERSED - Static variable in interface weka.gui.graphvisualizer.GraphConstants
Types of Edges
reversedArcs(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
Count nr of reversed arcs from other network compared to current network
revertNewLines(String) - Static method in class weka.core.Utils
Reverts \r and \n in a string into carriage returns and new lines.
REVISION - Static variable in class weka.core.Version
the revision
RevisionHandler - Interface in weka.core
For classes that should return their source control revision.
RevisionUtils - Class in weka.core
Contains utility functions for handling revisions.
RevisionUtils() - Constructor for class weka.core.RevisionUtils
 
RevisionUtils.Type - Enum in weka.core
Enumeration of source control types.
ridgeTipText() - Method in class weka.classifiers.functions.LinearRegression
Returns the tip text for this property
ridgeTipText() - Method in class weka.classifiers.functions.Logistic
Returns the tip text for this property
ridgeTipText() - Method in class weka.estimators.MultivariateGaussianEstimator
Returns the tip text for this property
RIGHT_PARENTHESES - Variable in class weka.experiment.ResultMatrix
the right parentheses for enumerating cols/rows.
rightNode() - Method in class weka.classifiers.trees.m5.RuleNode
Get the right child of this node
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
Prints the condition satisfied by instances in a subset.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.C45Split
Prints the condition satisfied by instances in a subset.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Prints left side of condition satisfied by instances in subset index.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Does nothing because no condition has to be satisfied.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
Prints the condition satisfied by instances in a subset.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.NoSplit
Does nothing because no condition has to be satisfied.
rightSide(int, Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
Prints the condition satisfied by instances in a subset.
RipperRule() - Constructor for class weka.classifiers.rules.JRip.RipperRule
Constructor
RKeyAdapter() - Constructor for class weka.gui.ResultHistoryPanel.RKeyAdapter
 
rmCoveredBySuccessives(Instances, ArrayList<Rule>, int) - Static method in class weka.classifiers.rules.RuleStats
Static utility function to count the data covered by the rules after the given index in the given rules, and then remove them.
RMouseAdapter() - Constructor for class weka.gui.ResultHistoryPanel.RMouseAdapter
 
rnorm(int, double, double, Random) - Static method in class weka.core.matrix.Maths
Generates a sample of a normal distribution.
ROC - Class in weka.core.pmml.jaxbbindings
Java class for ROC element declaration.
ROC() - Constructor for class weka.core.pmml.jaxbbindings.ROC
 
ROCGraph - Class in weka.core.pmml.jaxbbindings
Java class for ROCGraph element declaration.
ROCGraph() - Constructor for class weka.core.pmml.jaxbbindings.ROCGraph
 
ROOT_FINDER_ACCURACY - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
 
ROOT_FINDER_MAX_ITER - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
How close the root finder for numeric and nominal have to get
ROOT_NODE - Static variable in class weka.core.xml.XMLOptions
the root node.
ROOT_NODE - Static variable in class weka.core.xml.XMLSerialization
the root node of the XML document
rootMeanPriorSquaredError() - Method in class weka.classifiers.evaluation.Evaluation
Returns the root mean prior squared error.
rootMeanPriorSquaredError() - Method in class weka.classifiers.Evaluation
Returns the root mean prior squared error.
rootMeanSquaredError() - Method in class weka.classifiers.evaluation.Evaluation
Returns the root mean squared error.
rootMeanSquaredError() - Method in class weka.classifiers.Evaluation
Returns the root mean squared error.
rootRelativeSquaredError() - Method in class weka.classifiers.evaluation.Evaluation
Returns the root relative squared error if the class is numeric.
rootRelativeSquaredError() - Method in class weka.classifiers.Evaluation
Returns the root relative squared error if the class is numeric.
rotate(double, double, double) - Method in class weka.gui.visualize.PostscriptGraphics
 
rotate(double) - Method in class weka.gui.visualize.PostscriptGraphics
 
round(double) - Static method in class weka.core.Utils
Rounds a double to the next nearest integer value.
roundDouble(double, int) - Static method in class weka.core.Utils
Rounds a double to the given number of decimal places.
Row - Class in weka.core.pmml.jaxbbindings
Java class for row element declaration.
Row() - Constructor for class weka.core.pmml.jaxbbindings.Row
 
rowNameWidthTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
RPAREN - Static variable in interface weka.core.expressionlanguage.parser.sym
 
RSQUARE - Static variable in interface weka.core.json.sym
 
Rule - Class in weka.classifiers.rules
Abstract class of generic rule
Rule() - Constructor for class weka.classifiers.rules.Rule
 
Rule - Class in weka.classifiers.trees.m5
Generates a single m5 tree or rule
Rule() - Constructor for class weka.classifiers.trees.m5.Rule
Constructor declaration
RULEFEATURE - Enum in weka.core.pmml.jaxbbindings
Java class for RULE-FEATURE.
RuleNode - Class in weka.classifiers.trees.m5
Constructs a node for use in an m5 tree or rule
RuleNode(double, double, RuleNode) - Constructor for class weka.classifiers.trees.m5.RuleNode
Creates a new RuleNode instance.
RuleSelectionMethod - Class in weka.core.pmml.jaxbbindings
Java class for RuleSelectionMethod element declaration.
RuleSelectionMethod() - Constructor for class weka.core.pmml.jaxbbindings.RuleSelectionMethod
 
RuleSet - Class in weka.core.pmml.jaxbbindings
Java class for RuleSet element declaration.
RuleSet() - Constructor for class weka.core.pmml.jaxbbindings.RuleSet
 
RuleSetModel - Class in weka.classifiers.pmml.consumer
Class implementing import of PMML RuleSetModel.
RuleSetModel(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.RuleSetModel
Constructor for a RuleSetModel
RuleSetModel - Class in weka.core.pmml.jaxbbindings
Java class for RuleSetModel element declaration.
RuleSetModel() - Constructor for class weka.core.pmml.jaxbbindings.RuleSetModel
 
rulesMustContainTipText() - Method in class weka.associations.FPGrowth
Returns the tip text for this property
RuleStats - Class in weka.classifiers.rules
This class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives, filter data based on the ruleset, etc.
RuleStats() - Constructor for class weka.classifiers.rules.RuleStats
Default constructor
RuleStats(Instances, ArrayList<Rule>) - Constructor for class weka.classifiers.rules.RuleStats
Constructor that provides ruleset and data
run(Object, String[]) - Method in class weka.associations.AbstractAssociator
Execute the supplied object.
run(Object, String[]) - Method in class weka.attributeSelection.ASEvaluation
Execute the supplied object.
run(Object, String[]) - Method in class weka.classifiers.AbstractClassifier
Execute the supplied object.
run(Object, String[]) - Method in class weka.clusterers.AbstractClusterer
Execute the supplied object.
run(Object, String[]) - Method in interface weka.core.CommandlineRunnable
Execute the supplied object.
run(Object, String[]) - Method in class weka.core.converters.TextDirectoryLoader
 
run(Object, String[]) - Method in class weka.core.FindWithCapabilities
 
run(Object, String[]) - Method in class weka.core.ListOptions
 
run(Object, String[]) - Method in class weka.filters.Filter
Execute the supplied object.
run() - Method in class weka.gui.beans.FlowRunner
Launch all loaded KnowledgeFlow
run() - Method in class weka.gui.ReaderToTextPane
Sit here listening for lines of input and appending them straight to the text component.
run(File, String[]) - Method in class weka.gui.scripting.Script
Executes the script without loading it first.
run() - Method in class weka.gui.scripting.Script.ScriptThread
Executes the script.
run() - Method in class weka.gui.SimpleCLIPanel.ClassRunner
Starts running the main method.
run(Object, String[]) - Method in class weka.knowledgeflow.FlowRunner
Run a FlowRunner object
run() - Method in class weka.knowledgeflow.FlowRunner
Execute the flow
Run - Class in weka
Helper class that executes Weka schemes from the command line.
Run() - Constructor for class weka.Run
 
Run.SchemeType - Enum in weka
 
RUN_FIELD_NAME - Static variable in class weka.experiment.CrossValidationResultProducer
The name of the key field containing the run number
RUN_FIELD_NAME - Static variable in class weka.experiment.ExplicitTestsetResultProducer
The name of the key field containing the run number.
RUN_FIELD_NAME - Static variable in class weka.experiment.RandomSplitResultProducer
The name of the key field containing the run number
runAssociator(Associator, String[]) - Static method in class weka.associations.AbstractAssociator
runs the associator with the given commandline options
runClassifier(Classifier, String[]) - Static method in class weka.classifiers.AbstractClassifier
runs the classifier instance with the given options.
runClusterer(Clusterer, String[]) - Static method in class weka.clusterers.AbstractClusterer
runs the clusterer instance with the given options.
runCommand(String) - Method in class weka.gui.SimpleCLIPanel
Executes a simple cli command.
runDataGenerator(DataGenerator, String[]) - Static method in class weka.datagenerators.DataGenerator
runs the datagenerator instance with the given options.
runEvaluator(ASEvaluation, String[]) - Static method in class weka.attributeSelection.ASEvaluation
runs the evaluator with the given commandline options
runExperiment(boolean) - Method in class weka.experiment.Experiment
 
runExperiment() - Method in class weka.experiment.Experiment
Runs all iterations of the experiment, continuing past errors.
runExperiment() - Method in class weka.experiment.RemoteExperiment
Overides runExperiment in Experiment
runFileLoader(AbstractFileLoader, String[]) - Static method in class weka.core.converters.AbstractFileLoader
runs the given loader with the provided options
runFileSaver(AbstractFileSaver, String[]) - Static method in class weka.core.converters.AbstractFileSaver
runs the given saver with the specified options
runFilter(Filter, String[]) - Static method in class weka.filters.Filter
runs the filter instance with the given options.
RunNumberPanel - Class in weka.gui.experiment
This panel controls configuration of lower and upper run numbers in an experiment.
RunNumberPanel() - Constructor for class weka.gui.experiment.RunNumberPanel
Creates the panel with no initial experiment.
RunNumberPanel(Experiment) - Constructor for class weka.gui.experiment.RunNumberPanel
Creates the panel with the supplied initial experiment.
RunPanel - Class in weka.gui.experiment
This panel controls the running of an experiment.
RunPanel() - Constructor for class weka.gui.experiment.RunPanel
Creates the run panel with no initial experiment.
RunPanel(Experiment) - Constructor for class weka.gui.experiment.RunPanel
Creates the panel with the supplied initial experiment.
runParallel() - Method in interface weka.knowledgeflow.FlowExecutor
Run the flow by launching all start points in parallel
runParallel() - Method in class weka.knowledgeflow.FlowRunner
Run the flow by launching start points in parallel
runScript(Script, String[]) - Static method in class weka.gui.scripting.Script
Runs the specified script.
runSequentially() - Method in interface weka.knowledgeflow.FlowExecutor
Run the flow sequentially (i.e.
runSequentially() - Method in class weka.knowledgeflow.FlowRunner
Run the flow by launching start points sequentially.
runsTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
runsTipText() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
 
runsTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
runsTipText() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
 
runsTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
runsTipText() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
 
runsTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
runsTipText() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
 
runTokenizer(Tokenizer, String[]) - Static method in class weka.core.tokenizers.Tokenizer
initializes the given tokenizer with the given options and runs the tokenizer over all the remaining strings in the options array.

S

s_atLeastOnePackageUpgradeHasOccurredInThisSession - Static variable in class weka.gui.PackageManager
 
s_fileFormatsAvailable - Static variable in class weka.gui.beans.SerializedModelSaver
Available file formats.
s_numericAfterDecimalPoint - Static variable in class weka.core.AbstractInstance
Default max number of digits after the decimal point for numeric values
s_startupListeners - Static variable in class weka.gui.beans.KnowledgeFlowApp
 
SAMPLE_SIZE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: Sample Size
sampleSizePercentTipText() - Method in class weka.filters.supervised.instance.Resample
Returns the tip text for this property.
sampleSizePercentTipText() - Method in class weka.filters.unsupervised.instance.Resample
Returns the tip text for this property
sampleSizeTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns the tip text for this property
sampleSizeTipText() - Method in class weka.filters.unsupervised.instance.ReservoirSample
Returns the tip text for this property
save(StringBuffer) - Method in class weka.gui.SaveBuffer
Save a buffer
save() - Method in class weka.gui.scripting.Script
Saves the file under with the current filename.
save(File, String) - Static method in class weka.gui.scripting.ScriptUtils
Saves the content to a file.
SAVE_DIALOG - Static variable in class weka.gui.knowledgeflow.KFGUIConsts
Constant for a save dialog (same as JFileChooser.SAVE_DIALOG)
saveAs(File) - Method in class weka.gui.scripting.Script
Saves the file under with the given filename (and updates the internal filename).
saveBatch() - Method in class weka.gui.beans.Saver
Saves instances in batch mode
saveBinary(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
Save a model in binary form.
SaveBuffer - Class in weka.gui
This class handles the saving of StringBuffers to files.
SaveBuffer(Logger, Component) - Constructor for class weka.gui.SaveBuffer
Constructor
saveClassifier(String, Classifier, Instances) - Method in class weka.gui.explorer.ClassifierPanel
Saves the currently selected classifier.
saveComponent() - Method in class weka.gui.visualize.PrintableComponent
displays a save dialog for saving the panel to a file.
saveComponent() - Method in interface weka.gui.visualize.PrintableHandler
displays a save dialog for saving the component to a file.
saveComponent() - Method in class weka.gui.visualize.PrintablePanel
displays a save dialog for saving the panel to a file.
saveDictionary(String, boolean) - Method in class weka.core.DictionaryBuilder
Save the dictionary
saveDictionary(File, boolean) - Method in class weka.core.DictionaryBuilder
Save a dictionary
saveDictionary(Writer) - Method in class weka.core.DictionaryBuilder
Save the dictionary in textual format
saveDictionary(OutputStream) - Method in class weka.core.DictionaryBuilder
Save the dictionary in binary form
saveDictionaryInBinaryFormTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
 
saveFile() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
saves the current data into a file
saveFileAs() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
saves the current data into a new file
saveFlow(File) - Method in class weka.knowledgeflow.Flow
Save this Flow to the supplied File
saveInstanceDataTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
saveInstanceDataTipText() - Method in class weka.clusterers.Cobweb
Returns the tip text for this property
saveInstancesTipText() - Method in class weka.classifiers.trees.M5P
Returns the tip text for this property
saveInstancesToFile(AbstractFileSaver, Instances) - Method in class weka.gui.explorer.PreprocessPanel
saves the data with the specified saver
saveKOML(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
Save a model in KOML deep object serialized XML form.
saveLayout(File, int) - Method in class weka.gui.beans.KnowledgeFlowApp
 
saveLayout(OutputStream, int) - Method in class weka.gui.beans.KnowledgeFlowApp
Save the knowledge flow into the OutputStream passed at input.
saveModel() - Method in class weka.gui.beans.Classifier
 
saveModel() - Method in class weka.gui.beans.Clusterer
 
Saver - Interface in weka.core.converters
Interface to something that can save Instances to an output destination in some format.
Saver - Class in weka.gui.beans
Saves data sets using weka.core.converter classes
Saver() - Constructor for class weka.gui.beans.Saver
Contsructor
SAVER - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
Saver - Class in weka.knowledgeflow.steps
Step that wraps weka.core.converters.Saver classes
Saver() - Constructor for class weka.knowledgeflow.steps.Saver
 
SAVER_DIALOG - Static variable in class weka.gui.ConverterFileChooser
the saver dialog.
SaverBeanInfo - Class in weka.gui.beans
Bean info class for the saver bean
SaverBeanInfo() - Constructor for class weka.gui.beans.SaverBeanInfo
 
SaverCustomizer - Class in weka.gui.beans
GUI Customizer for the saver bean
SaverCustomizer() - Constructor for class weka.gui.beans.SaverCustomizer
Constructor
SaverStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Editor dialog for the saver step
SaverStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SaverStepEditorDialog
Constructor
saveSettings() - Method in class weka.core.Settings
Save the settings to the metastore
saveSize() - Method in class weka.gui.sql.SqlViewer
obtains the size of the panel and saves it in the history.
saveToFile(String, Object) - Static method in class weka.core.Debug
writes the serialized object to the speicified file
saveWeights() - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this to have the connection save the current weights.
saveWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
Call this to have the connection save the current weights.
saveWorkingInstancesToFileQ() - Method in class weka.gui.explorer.PreprocessPanel
Queries the user for a file to save instances as, then saves the instances in a background process.
saveXStream(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
Save a model in XStream deep object serialized XML form.
scalarMultiply(double) - Method in class weka.core.AlgVector
Computes the scalar product of this vector with a scalar
scale(int) - Method in class weka.gui.beans.BeanVisual
Reduce this BeanVisual's icon size by the given factor
scale(double) - Method in class weka.gui.beans.BeanVisual
 
scale(double, double) - Method in class weka.gui.visualize.PostscriptGraphics
 
scaleIcon(ImageIcon, double) - Static method in class weka.gui.knowledgeflow.StepVisual
Scale the supplied icon by the given factor
scaleTipText() - Method in class weka.filters.unsupervised.attribute.Normalize
Returns the tip text for this property.
Scanner - Class in weka.core.expressionlanguage.parser
A lexical scanner for an expression language.
Scanner(Reader) - Constructor for class weka.core.expressionlanguage.parser.Scanner
Creates a new scanner
Scanner - Class in weka.core.json
A scanner for JSON data files.
Scanner(InputStream, SymbolFactory) - Constructor for class weka.core.json.Scanner
 
Scanner(Reader, SymbolFactory) - Constructor for class weka.core.json.Scanner
 
Scanner(Reader) - Constructor for class weka.core.json.Scanner
Creates a new scanner
ScatterDefaults() - Constructor for class weka.gui.explorer.VisualizePanel.ScatterDefaults
 
ScatterPlotMatrix - Class in weka.gui.beans
Bean that encapsulates weka.gui.visualize.MatrixPanel for displaying a scatter plot matrix.
ScatterPlotMatrix() - Constructor for class weka.gui.beans.ScatterPlotMatrix
 
ScatterPlotMatrix - Class in weka.knowledgeflow.steps
Step that collects data for display in a scatter plot matrix.
ScatterPlotMatrix() - Constructor for class weka.knowledgeflow.steps.ScatterPlotMatrix
 
ScatterPlotMatrixBeanInfo - Class in weka.gui.beans
Bean info class for the scatter plot matrix bean
ScatterPlotMatrixBeanInfo() - Constructor for class weka.gui.beans.ScatterPlotMatrixBeanInfo
 
ScatterPlotMatrixInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive viewer for the ScatterPlotMatrix step
ScatterPlotMatrixInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
 
ScatterPlotMatrixPerspective - Class in weka.gui.knowledgeflow
Knowledge Flow perspective for the scatter plot matrix
ScatterPlotMatrixPerspective() - Constructor for class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
Constructor
Scoreable - Interface in weka.classifiers.bayes.net.search.local
Interface for allowing to score a classifier
Scorecard - Class in weka.core.pmml.jaxbbindings
Java class for Scorecard element declaration.
Scorecard() - Constructor for class weka.core.pmml.jaxbbindings.Scorecard
 
ScoreDistribution - Class in weka.core.pmml.jaxbbindings
Java class for ScoreDistribution element declaration.
ScoreDistribution() - Constructor for class weka.core.pmml.jaxbbindings.ScoreDistribution
 
scoreTypeTipText() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
 
Script - Class in weka.gui.scripting
A simple helper class for loading, saving scripts.
Script() - Constructor for class weka.gui.scripting.Script
Initializes the script.
Script(Document) - Constructor for class weka.gui.scripting.Script
Initializes the script.
Script(Document, File) - Constructor for class weka.gui.scripting.Script
Initializes the script.
Script - Class in weka.gui.simplecli
Executes commands from a script file.
Script() - Constructor for class weka.gui.simplecli.Script
 
Script.ScriptThread - Class in weka.gui.scripting
The Thread for running a script.
ScriptExecutionEvent - Class in weka.gui.scripting.event
Event that gets sent when a script is executed.
ScriptExecutionEvent(Script, ScriptExecutionEvent.Type) - Constructor for class weka.gui.scripting.event.ScriptExecutionEvent
Initializes the event.
ScriptExecutionEvent(Script, ScriptExecutionEvent.Type, Object) - Constructor for class weka.gui.scripting.event.ScriptExecutionEvent
Initializes the event.
ScriptExecutionEvent.Type - Enum in weka.gui.scripting.event
Defines the type of event.
ScriptExecutionListener - Interface in weka.gui.scripting.event
For classes that want to be notified about changes in the script execution.
scriptFinished(ScriptExecutionEvent) - Method in interface weka.gui.scripting.event.ScriptExecutionListener
Gets sent when a script execution changes.
scriptFinished(ScriptExecutionEvent) - Method in class weka.gui.scripting.FileScriptingPanel
Gets sent when a script finishes execution.
ScriptingPanel - Class in weka.gui.scripting
Abstract ancestor for scripting panels.
ScriptingPanel() - Constructor for class weka.gui.scripting.ScriptingPanel
Default constructor.
ScriptThread(Script, String[]) - Constructor for class weka.gui.scripting.Script.ScriptThread
Initializes the thread.
ScriptUtils - Class in weka.gui.scripting
A helper class for Script related stuff.
ScriptUtils() - Constructor for class weka.gui.scripting.ScriptUtils
 
SCROLL_BAR_INCREMENT_LAYOUT - Static variable in class weka.knowledgeflow.KFDefaults
 
scrollToVisible(int, int) - Method in class weka.gui.JTableHelper
Assumes table is contained in a JScrollPane.
scrollToVisible(JTable, int, int) - Static method in class weka.gui.JTableHelper
Assumes table is contained in a JScrollPane.
search(ASEvaluation, Instances) - Method in class weka.attributeSelection.ASSearch
Searches the attribute subset/ranking space.
search(ASEvaluation, Instances) - Method in class weka.attributeSelection.BestFirst
Searches the attribute subset space by best first search
search(ASEvaluation, Instances) - Method in class weka.attributeSelection.GreedyStepwise
Searches the attribute subset space by forward selection.
search(ASEvaluation, Instances) - Method in class weka.attributeSelection.Ranker
Kind of a dummy search algorithm.
search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.K2
search determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.
search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.K2
search determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.
search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
search() - Method in class weka.gui.arffviewer.ArffPanel
searches for a string in the cells
search() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
searches for a string in the cells
search(Vector<HierarchyPropertyParser.TreeNode>, String) - Method in class weka.gui.HierarchyPropertyParser
Helper function to search for the given target string in a given vector in which the elements' value may hopefully is equal to the target.
SearchAlgorithm - Class in weka.classifiers.bayes.net.search
This is the base class for all search algorithms for learning Bayes networks.
SearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.SearchAlgorithm
c'tor
searchAlgorithmTipText() - Method in class weka.classifiers.bayes.BayesNet
 
searchBackwardsTipText() - Method in class weka.attributeSelection.GreedyStepwise
Returns the tip text for this property
searchFinish() - Method in class weka.core.neighboursearch.PerformanceStats
Signals end of the nearest neighbour search.
searchFinish() - Method in class weka.core.neighboursearch.TreePerformanceStats
Signals end of the nearest neighbour search.
searchMethodTipText() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Returns the tip text for this property
searchPoints(int, int, boolean) - Method in class weka.gui.visualize.Plot2D
Pops up a window displaying attribute information on any instances at a point+-plotting_point_size (in panel coordinates)
searchStart() - Method in class weka.core.neighboursearch.PerformanceStats
Signals start of the nearest neighbour search.
searchStart() - Method in class weka.core.neighboursearch.TreePerformanceStats
Signals start of the nearest neighbour search.
searchTerminationTipText() - Method in class weka.attributeSelection.BestFirst
Returns the tip text for this property
searchTipText() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Returns the tip text for this property
searchTipText() - Method in class weka.classifiers.rules.DecisionTable
Returns the tip text for this property
searchTipText() - Method in class weka.filters.supervised.attribute.AttributeSelection
Returns the tip text for this property
SeasonalityExpoSmooth - Class in weka.core.pmml.jaxbbindings
Java class for Seasonality_ExpoSmooth element declaration.
SeasonalityExpoSmooth() - Constructor for class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
 
secondInstanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceJoiner
 
secondInstanceProduced(InstanceEvent) - Method in interface weka.gui.streams.SerialInstanceListener
 
secondValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
 
secondValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues
 
seedTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns the tip text for this property
seedTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
seedTipText() - Method in class weka.attributeSelection.OneRAttributeEval
Returns a string for this option suitable for display in the gui as a tip text
seedTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns the tip text for this property
seedTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
seedTipText() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
 
seedTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
seedTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
seedTipText() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
 
seedTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
seedTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
seedTipText() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.functions.VotedPerceptron
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.meta.MultiScheme
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableClassifier
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.rules.JRip
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.trees.RandomTree
Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.trees.REPTree
Returns the tip text for this property
seedTipText() - Method in class weka.clusterers.Cobweb
Returns the tip text for this property
seedTipText() - Method in class weka.clusterers.RandomizableClusterer
Returns the tip text for this property
seedTipText() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
Returns the tip text for this property
seedTipText() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
Returns the tip text for this property
seedTipText() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Returns the tip text for this property.
seedTipText() - Method in class weka.datagenerators.DataGenerator
Returns the tip text for this property
seedTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns the tip text for this property
seedTipText() - Method in class weka.filters.MultiFilter
Returns the tip text for this property
seedTipText() - Method in class weka.filters.supervised.attribute.ClassOrder
Returns the tip text for this property
seedTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Returns the tip text for this property
seedTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
Returns the tip text for this property
seedTipText() - Method in class weka.filters.unsupervised.attribute.RandomSubset
Returns the tip text for this property.
seedTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Returns the tip text for this property
seedTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
Returns the tip text for this property
seedTipText() - Method in class weka.gui.beans.CrossValidationFoldMaker
Tip text for this property
seedTipText() - Method in class weka.gui.beans.TrainTestSplitMaker
Tip text for this property
Segment - Class in weka.core.pmml.jaxbbindings
Java class for Segment element declaration.
Segment() - Constructor for class weka.core.pmml.jaxbbindings.Segment
 
Segmentation - Class in weka.core.pmml.jaxbbindings
Java class for Segmentation element declaration.
Segmentation() - Constructor for class weka.core.pmml.jaxbbindings.Segmentation
 
select(int, int[], int, int, int) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Implements computation of the kth-smallest element according to Manber's "Introduction to Algorithms".
select(int, int[], int, int, int) - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
Implements computation of the kth-smallest element according to Manber's "Introduction to Algorithms".
select(String) - Method in class weka.experiment.DatabaseUtils
Executes a SQL SELECT query that returns a ResultSet.
SelectAttributes(ASEvaluation, String[]) - Static method in class weka.attributeSelection.AttributeSelection
Perform attribute selection with a particular evaluator and a set of options specifying search method and input file etc.
SelectAttributes(Instances) - Method in class weka.attributeSelection.AttributeSelection
Perform attribute selection on the supplied training instances.
SelectAttributes(ASEvaluation, String[], Instances) - Static method in class weka.attributeSelection.AttributeSelection
Perform attribute selection with a particular evaluator and a set of options specifying search method and options for the search method and evaluator.
selectAttributesCVSplit(Instances) - Method in class weka.attributeSelection.AttributeSelection
Select attributes for a split of the data.
selectedAttributes() - Method in class weka.attributeSelection.AttributeSelection
get the final selected set of attributes.
selectedAttributesTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Returns the tip text for this property
SelectedPerspectivePreferences() - Constructor for class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
 
SelectedTag - Class in weka.core
Represents a selected value from a finite set of values, where each value is a Tag (i.e.
SelectedTag(int, Tag[]) - Constructor for class weka.core.SelectedTag
Creates a new SelectedTag instance.
SelectedTag(String, Tag[]) - Constructor for class weka.core.SelectedTag
Creates a new SelectedTag instance.
SelectedTagEditor - Class in weka.gui
A PropertyEditor that uses tags, where the tags are obtained from a weka.core.SelectedTag object.
SelectedTagEditor() - Constructor for class weka.gui.SelectedTagEditor
 
SELECTION_GREEDY - Static variable in class weka.classifiers.functions.LinearRegression
Attribute selection method: Greedy method
SELECTION_M5 - Static variable in class weka.classifiers.functions.LinearRegression
Attribute selection method: M5 method
SELECTION_NONE - Static variable in class weka.classifiers.functions.LinearRegression
Attribute selection method: No attribute selection
selectModel(Instances) - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
Selects C4.5-type split for the given dataset.
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
Selects C4.5-type split for the given dataset.
selectModel(Instances) - Method in class weka.classifiers.trees.j48.C45ModelSelection
Selects C4.5-type split for the given dataset.
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.C45ModelSelection
Selects C4.5-type split for the given dataset.
selectModel(Instances) - Method in class weka.classifiers.trees.j48.ModelSelection
Selects a model for the given dataset.
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.ModelSelection
Selects a model for the given train data using the given test data
selectModel(Instances) - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
Selects NBTree-type split for the given dataset.
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
Selects NBTree-type split for the given dataset.
selectModel(Instances, double[][], double[][]) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
Selects split based on residuals for the given dataset.
selectModel(Instances) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
Method not in use
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
Method not in use
SemanticException - Exception in weka.core.expressionlanguage.core
An exception that should be used if a program doesn't have valid semantics
SemanticException(String, Exception) - Constructor for exception weka.core.expressionlanguage.core.SemanticException
Constructs a SemanticException with a message and cause
SemanticException(String) - Constructor for exception weka.core.expressionlanguage.core.SemanticException
Constructs a SemanticException with a message
SEND_INSTANCES - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
Command to remove instances from this node and send them to the VisualizePanel.
SEND_TO_PERSPECTIVE_COMMAND_KEY - Static variable in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
Command ID
SendToPerspective - Class in weka.knowledgeflow.steps
Step that can send incoming instances to a perspective.
SendToPerspective() - Constructor for class weka.knowledgeflow.steps.SendToPerspective
 
SendToPerspectiveGraphicalCommand - Class in weka.gui.knowledgeflow
Class implementing sending a set of Instances to a named perspective
SendToPerspectiveGraphicalCommand() - Constructor for class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
 
SendToPerspectiveStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Dialog for the SendToPerspective step
SendToPerspectiveStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SendToPerspectiveStepEditorDialog
 
SEP1 - Static variable in class weka.knowledgeflow.steps.SetVariables
Separators for internal variable specification
SEP1 - Static variable in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
Separators for internal variable specification
SEP2 - Static variable in class weka.knowledgeflow.steps.SetVariables
 
SEP2 - Static variable in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
SEP3 - Static variable in class weka.knowledgeflow.steps.SetVariables
 
seq(int, int) - Static method in class weka.core.matrix.IntVector
Generates an IntVector that stores all integers inclusively between two integers.
Sequence - Class in weka.core.pmml.jaxbbindings
Java class for Sequence element declaration.
Sequence() - Constructor for class weka.core.pmml.jaxbbindings.Sequence
 
SequenceModel - Class in weka.core.pmml.jaxbbindings
Java class for SequenceModel element declaration.
SequenceModel() - Constructor for class weka.core.pmml.jaxbbindings.SequenceModel
 
SequenceReference - Class in weka.core.pmml.jaxbbindings
Java class for SequenceReference element declaration.
SequenceReference() - Constructor for class weka.core.pmml.jaxbbindings.SequenceReference
 
SequenceRule - Class in weka.core.pmml.jaxbbindings
Java class for SequenceRule element declaration.
SequenceRule() - Constructor for class weka.core.pmml.jaxbbindings.SequenceRule
 
SERIAL_VERSION_UID - Static variable in class weka.core.SerializationHelper
the field name of serialVersionUID.
SerialInstanceListener - Interface in weka.gui.streams
Defines an interface for objects able to produce two output streams of instances.
SerializationHelper - Class in weka.core
A helper class for determining serialVersionUIDs and checking whether classes contain one and/or need one.
SerializationHelper() - Constructor for class weka.core.SerializationHelper
 
serialize(Object) - Static method in class weka.core.xml.XStream
Serializes the supplied object xml
SERIALIZED_OBJ_FILE_EXTENSION - Static variable in class weka.core.Instances
The filename extension that should be used for bin.
SerializedClassifier - Class in weka.classifiers.misc
A wrapper around a serialized classifier model.
SerializedClassifier() - Constructor for class weka.classifiers.misc.SerializedClassifier
 
serializedClassifierFileTipText() - Method in class weka.filters.supervised.attribute.AddClassification
Returns the tip text for this property.
serializedClustererFileTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster
Returns the tip text for this property.
SerializedInstancesLoader - Class in weka.core.converters
Reads a source that contains serialized Instances.
SerializedInstancesLoader() - Constructor for class weka.core.converters.SerializedInstancesLoader
 
SerializedInstancesSaver - Class in weka.core.converters
Serializes the instances to a file with extension bsi.
SerializedInstancesSaver() - Constructor for class weka.core.converters.SerializedInstancesSaver
Constructor.
SerializedModelSaver - Class in weka.gui.beans
A bean that saves serialized models
SerializedModelSaver() - Constructor for class weka.gui.beans.SerializedModelSaver
Constructor.
SerializedModelSaver - Class in weka.knowledgeflow.steps
Step that can save models encapsulated in incoming Data objects to the filesystem.
SerializedModelSaver() - Constructor for class weka.knowledgeflow.steps.SerializedModelSaver
 
SerializedModelSaverBeanInfo - Class in weka.gui.beans
Bean info class for the serialized model saver bean
SerializedModelSaverBeanInfo() - Constructor for class weka.gui.beans.SerializedModelSaverBeanInfo
 
SerializedModelSaverCustomizer - Class in weka.gui.beans
GUI Customizer for the SerializedModelSaver bean
SerializedModelSaverCustomizer() - Constructor for class weka.gui.beans.SerializedModelSaverCustomizer
Constructor
SerializedObject - Class in weka.core
Class for storing an object in serialized form in memory.
SerializedObject(Object) - Constructor for class weka.core.SerializedObject
Creates a new serialized object (without compression).
SerializedObject(Object, boolean) - Constructor for class weka.core.SerializedObject
Creates a new serialized object.
serializePMMLModel(PMMLModel, String) - Static method in class weka.core.pmml.PMMLFactory
Serialize a PMMLModel object that encapsulates a PMML model
serializePMMLModel(PMMLModel, File) - Static method in class weka.core.pmml.PMMLFactory
Serialize a PMMLModel object that encapsulates a PMML model
serializePMMLModel(PMMLModel, OutputStream) - Static method in class weka.core.pmml.PMMLFactory
Serialize a PMMLModel object that encapsulates a PMML model
serializeStepsToJSON(List<StepVisual>, String) - Static method in class weka.gui.knowledgeflow.VisibleLayout
Utility method to serialize a list of steps (encapsulated in StepVisuals) to a JSON flow.
SerialUIDChanger - Class in weka.core.xml
This class enables one to change the UID of a serialized object and therefore not losing the data stored in the binary format.
SerialUIDChanger() - Constructor for class weka.core.xml.SerialUIDChanger
 
serialVersionUID - Static variable in class weka.gui.explorer.VisualizePanel.ScatterDefaults
 
set(int, Instance) - Method in class weka.core.Instances
Replaces the instance at the given position.
set(int, double) - Method in class weka.core.matrix.DoubleVector
Set a single element.
set(double) - Method in class weka.core.matrix.DoubleVector
Set all elements to a value
set(int, int, double) - Method in class weka.core.matrix.DoubleVector
Set some elements to a value
set(int, int, double[], int) - Method in class weka.core.matrix.DoubleVector
Set some elements using a 2-D array
set(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Set the elements using a DoubleVector
set(int, int, DoubleVector, int) - Method in class weka.core.matrix.DoubleVector
Set some elements using a DoubleVector.
set(int) - Method in class weka.core.matrix.IntVector
Sets the value of an element.
set(int, int, int[], int) - Method in class weka.core.matrix.IntVector
Sets the values of elements from an int array.
set(int, int, IntVector, int) - Method in class weka.core.matrix.IntVector
Sets the values of elements from another IntVector.
set(IntVector) - Method in class weka.core.matrix.IntVector
Sets the values of elements from another IntVector.
set(int, int) - Method in class weka.core.matrix.IntVector
Sets a single element.
set(int, int, double) - Method in class weka.core.matrix.Matrix
Set a single element.
set(int, T) - Method in class weka.core.neighboursearch.covertrees.Stack
Sets the ith element in the stack.
set(int, Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Replaces the element at the specified position in this list with the specified element.
set(String, String) - Static method in class weka.gui.explorer.ExplorerDefaults
 
Set - Class in weka.gui.simplecli
Sets a variable.
Set() - Constructor for class weka.gui.simplecli.Set
 
SET_SYSTEM_PROPERTIES_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for setting system properties
setAbsoluteValue(Double) - Method in class weka.core.pmml.jaxbbindings.Coefficients
Sets the value of the absoluteValue property.
setActivationFunction(ACTIVATIONFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Sets the value of the activationFunction property.
setActivationFunction(ACTIVATIONFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the activationFunction property.
setActive(boolean) - Method in class weka.gui.AbstractPerspective
Set active status of this perspective.
setActive(boolean) - Method in class weka.gui.beans.AttributeSummarizer
Set active status of this perspective.
setActive(boolean) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
Set active status of this perspective.
setActive(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setActive(boolean) - Method in class weka.gui.beans.ScatterPlotMatrix
Set active status of this perspective.
setActive(boolean) - Method in class weka.gui.beans.SQLViewerPerspective
Set active status of this perspective.
setActive(boolean) - Method in class weka.gui.explorer.AssociationsPanel
 
setActive(boolean) - Method in class weka.gui.explorer.AttributeSelectionPanel
 
setActive(boolean) - Method in class weka.gui.explorer.ClassifierPanel
 
setActive(boolean) - Method in class weka.gui.explorer.ClustererPanel
 
setActive(boolean) - Method in class weka.gui.explorer.PreprocessPanel
 
setActive(boolean) - Method in class weka.gui.explorer.VisualizePanel
Make sure current settings are applied when this panel becomes active
setActive(boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Set active status of this perspective.
setActive(boolean) - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
Called when this perspective becomes the "active" (i.e.
setActive(boolean) - Method in interface weka.gui.Perspective
Set active status of this perspective.
setActive(boolean) - Method in class weka.gui.SimpleCLIPanel
 
setActivePerspective(int) - Method in class weka.gui.PerspectiveManager
Set the active perspective
setActivePerspective(String) - Method in class weka.gui.PerspectiveManager
Set the active perspective
setActiveTab(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setActiveTab(int) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Set the active (visible) tab
setAcuity(double) - Method in class weka.clusterers.Cobweb
set the acuity.
setAdditionalMeasures(String[]) - Method in class weka.experiment.AveragingResultProducer
Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.ClassifierSplitEvaluator
Set a list of method names for additional measures to look for in Classifiers.
setAdditionalMeasures(String[]) - Method in class weka.experiment.CrossValidationResultProducer
Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.DatabaseResultProducer
Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Set a list of method names for additional measures to look for in Classifiers.
setAdditionalMeasures(String[]) - Method in class weka.experiment.ExplicitTestsetResultProducer
Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.LearningRateResultProducer
Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.RandomSplitResultProducer
Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.RegressionSplitEvaluator
Set a list of method names for additional measures to look for in Classifiers.
setAdditionalMeasures(String[]) - Method in interface weka.experiment.ResultProducer
Sets a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in interface weka.experiment.SplitEvaluator
Sets a list of method names for additional measures to look for in SplitEvaluators.
setAddMatchingEndBlocks(boolean) - Method in class weka.gui.scripting.SyntaxDocument
Sets whether matching block ends are inserted or not.
setAdjRSquared(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the adjRSquared property.
setAdjustWeights(boolean) - Method in class weka.filters.supervised.instance.SpreadSubsample
Sets whether the instance weights will be adjusted to maintain total weight per class.
setAdvanceDataSetFirst(boolean) - Method in class weka.experiment.Experiment
Set the value of m_AdvanceDataSetFirst.
setAffinity(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Sets the value of the affinity property.
setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the aggregate property.
setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the aggregate property.
setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the aggregate property.
setAIC(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the aic property.
setAICc(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the aiCc property.
setAlgorithm(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the algorithm property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.MiningModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.Regression
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TextModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
Sets the value of the algorithmName property.
setAllAttributeWeightsToOne(boolean) - Method in class weka.filters.unsupervised.attribute.Reorder
Whether to set all attribute weights to one in output data.
setAllowMultipleTabs(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp
 
setAllowMultipleTabs(boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Set whether multiple tabs are allowed
setAllowUnclassifiedInstances(boolean) - Method in class weka.classifiers.trees.RandomTree
Set the value of AllowUnclassifiedInstances.
setAlpha(double) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Set prior used in probability table estimation
setAlpha(Double) - Method in class weka.core.pmml.jaxbbindings.Level
Sets the value of the alpha property.
setAlternate(Alternate) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Sets the value of the alternate property.
setAlternateTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Sets the value of the alternateTargetCategory property.
setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Sets the value of the altitude property.
setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the altitude property.
setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
Sets the value of the altitude property.
setAmplitude(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Sets the amplitude multiplier.
setAnimated() - Method in class weka.gui.beans.BeanVisual
Deprecated.
setAnova(Anova) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Sets the value of the anova property.
setAntecedent(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Sets the value of the antecedent property.
setAnyDistribution(AnyDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
Sets the value of the anyDistribution property.
setAnyDistribution(AnyDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
Sets the value of the anyDistribution property.
setAppend(boolean) - Method in class weka.gui.beans.TextSaver
 
setAppend(boolean) - Method in class weka.knowledgeflow.steps.TextSaver
Set whether the file should be appended to rather than overwritten
setAppendPredictedProbabilities(boolean) - Method in class weka.gui.beans.PredictionAppender
Set whether to append predicted probabilities rather than class value (for discrete class data sets)
setAppendProbabilities(boolean) - Method in class weka.knowledgeflow.steps.PredictionAppender
Set whether to append probability distributions rather than predicted classes
setApplication(Application) - Method in class weka.core.pmml.jaxbbindings.Header
Sets the value of the application property.
setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the apply property.
setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the apply property.
setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the apply property.
setAppropriateSize() - Method in class weka.classifiers.bayes.net.GUI
Sets the preferred size for m_GraphPanel GraphPanel to the minimum size that is neccessary to display the graph.
setArffFile(String) - Method in class weka.gui.streams.InstanceLoader
 
setArffFile(String) - Method in class weka.gui.streams.InstanceSavePanel
 
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.ClassLabels
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.Cluster
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TextDictionary
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TimeException
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.XCoordinates
Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.YCoordinates
Sets the value of the array property.
setAssociatedConnections(Vector<BeanConnection>) - Method in class weka.gui.beans.MetaBean
 
setAssociationModel(AssociationModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the associationModel property.
setAssociator(Associator) - Method in class weka.associations.CheckAssociator
Set the associator to test.
setAssociator(Associator) - Method in class weka.associations.SingleAssociatorEnhancer
Set the base associator.
setAssociator(Associator) - Method in class weka.gui.beans.Associator
Set the associator for this wrapper
setAssociator(Associator) - Method in class weka.knowledgeflow.steps.Associator
Set the associator to use.
setAsText(String) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
setAsText(String) - Method in class weka.gui.ColorEditor
Throws an exception as we are not representable in text form
setAsText(String) - Method in class weka.gui.CostMatrixEditor
Some objects can be represented as text, but a cost matrix cannot.
setAsText(String) - Method in class weka.gui.EnvironmentField
 
setAsText(String) - Method in class weka.gui.FileEnvironmentField
 
setAsText(String) - Method in class weka.gui.GenericArrayEditor
Returns null as we don't support getting/setting values as text.
setAsText(String) - Method in class weka.gui.GenericObjectEditor
Returns null as we don't support getting/setting values as text.
setAsText(String) - Method in class weka.gui.PasswordField
 
setAsText(String) - Method in class weka.gui.RangeEditor
Sets the current property value as text.
setAsText(String) - Method in class weka.gui.SelectedTagEditor
Sets the current property value as text.
setAsText(String) - Method in class weka.gui.SimpleDateFormatEditor
Sets the date format string.
setAttList_Irr(boolean[]) - Method in class weka.datagenerators.classifiers.classification.RDG1
Sets the array that defines which of the attributes are seen to be irrelevant.
setAttribute(int) - Method in class weka.gui.AttributeSummaryPanel
Sets the attribute that statistics will be displayed for.
setAttribute(int) - Method in class weka.gui.AttributeVisualizationPanel
Tells the panel which attribute to visualize.
setAttribute(String) - Method in class weka.knowledgeflow.steps.Sorter.SortRule
Set the name or index of the attribute to sort on
setAttributeColor(SyntaxDocument.ATTR_TYPE, Color) - Method in class weka.gui.scripting.SyntaxDocument
Sets the foreground (font) color of the specified attribute.
setAttributeColor(MutableAttributeSet, Color) - Static method in class weka.gui.scripting.SyntaxDocument
Sets the foreground (font) color of the specified attribute.
setAttributeFont(SyntaxDocument.ATTR_TYPE, int) - Method in class weka.gui.scripting.SyntaxDocument
Sets the font of the specified attribute.
setAttributeFont(MutableAttributeSet, Font) - Static method in class weka.gui.scripting.SyntaxDocument
Sets the font of the specified attribute.
setAttributeID(int) - Method in class weka.experiment.ClassifierSplitEvaluator
Set the index of Attibute Identifying the instances
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.Add
Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.AddNoise
Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.AddValues
Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Sets the index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Sets index of the attribute used.
setAttributeIndexes(String) - Method in class weka.filters.unsupervised.attribute.NominalToString
Sets index of the attribute used.
setAttributeIndices(String) - Method in class weka.core.converters.DictionarySaver
Sets which attributes are to be worked on.
setAttributeIndices(String) - Method in class weka.core.DictionaryBuilder
Sets which attributes are to be worked on.
setAttributeIndices(String) - Method in interface weka.core.DistanceFunction
Sets the range of attributes to use in the calculation of the distance.
setAttributeIndices(String) - Method in class weka.core.FilteredDistance
Sets the range of attributes to use in the calculation of the distance.
setAttributeIndices(String) - Method in class weka.core.NormalizableDistance
Sets the range of attributes to use in the calculation of the distance.
setAttributeIndices(String) - Method in class weka.filters.supervised.attribute.Discretize
Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndices(String) - Method in class weka.filters.supervised.attribute.MergeNominalValues
Set which attributes are to be acted on (or not, if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Set which attributes are to be copied (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Sets which attributes are to be used for interquartile calculations and outlier/extreme value detection (only numeric attributes among the selection will be used).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Copy
Set which attributes are to be copied (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Sets which attributes are to be turned into numeric attributes (only date attributes among the selection will be transformed).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Discretize
Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.FirstOrder
Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets which attributes are to be worked on.
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Sets which attributes are to be used for interquartile calculations and outlier/extreme value detection (only numeric attributes among the selection will be used).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Set which attributes are to be acted on (or not, if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Sets which attributes are to be acted on.
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Sets the columns to use, e.g., first-last or first-3,5-last
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Sets which attributes are to be "binarized" (only numeric attributes among the selection will be transformed).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericToDate
Sets which attributes are to be turned into date attributes (only numeric attributes among the selection will be transformed).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Sets which attributes are to be "nominalized" (only numeric attributes among the selection will be transformed).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
Set which attributes are to be transformed (or kept if invert is true).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Remove
Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Sets which attributes are to be acted on.
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Reorder
Set which attributes are to be copied (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Sets which attributes are to be "nominalized" (only numeric attributes among the selection will be transformed).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.SortLabels
Set the range of attributes to process.
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets which attributes are to be worked on.
setAttributeIndicesArray(int[]) - Method in class weka.core.DictionaryBuilder
Sets which attributes are to be processed.
setAttributeIndicesArray(int[]) - Method in class weka.filters.supervised.attribute.Discretize
Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndicesArray(int[]) - Method in class weka.filters.supervised.attribute.MergeNominalValues
Set which attributes are to be acted on (or not, if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Set which attributes are to be copied (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Sets which attributes are to be used.
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Copy
Set which attributes are to be copied (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Sets which attributes are to be transformed to numeric attributes (only date attributes among the selection will be transformed).
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Discretize
Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.FirstOrder
Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Sets which attributes are to be used for interquartile calculations and outlier/extreme value detection (only numeric attributes among the selection will be used).
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Set which attributes are to be acted on (or not, if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Sets which attributes are to be transformed to binary.
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericToDate
Sets which attributes are to be transformed to date attributes (only numeric attributes among the selection will be transformed).
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Sets which attributes are to be transoformed to nominal.
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericTransform
Set which attributes are to be transformed (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Remove
Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Reorder
Set which attributes are to be copied (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Sets which attributes are to be transoformed to nominal.
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets which attributes are to be processed.
setAttributeName(String) - Method in class weka.filters.unsupervised.attribute.Add
Set the new attribute's name.
setAttributeName(String) - Method in class weka.filters.unsupervised.attribute.AddID
Set the new attribute's name
setAttributeNamePrefix(String) - Method in class weka.core.DictionaryBuilder
Set the attribute name prefix.
setAttributeNamePrefix(String) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Set the attribute name prefix.
setAttributeNamePrefix(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Set the attribute name prefix.
setAttributeRange(String) - Method in class weka.filters.unsupervised.attribute.StringToNominal
Sets range of indices of the attributes used.
setAttributes(String) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Sets the range of attributes to output.
setAttributes(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Set the list of attributes to consider for replacing missing values
setAttributeSelectionMethod(SelectedTag) - Method in class weka.classifiers.functions.LinearRegression
Sets the method used to select attributes for use in the linear regression.
setAttributeSpecs(List<AddUserFields.AttributeSpec>) - Method in class weka.filters.unsupervised.attribute.AddUserFields
Set the list of attribute specs to use to create the new attributes.
setAttributesToOperateOn(String) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Set the attributes to operate on
setAttributeType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.Add
Sets the type of attribute to generate.
setAttributeType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.RemoveType
Sets the attribute type to be deleted by the filter.
setAttributeWeight(Attribute, double) - Method in class weka.core.Instances
Sets the weight of an attribute.
setAttributeWeight(int, double) - Method in class weka.core.Instances
Sets the weight of an attribute.
setAttributeWeight() - Method in class weka.gui.arffviewer.ArffPanel
sets the weight for the current attribute
setAttributeWeightAt(int, double) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sets the weight of the attribute at the given col index
setAttributeWeightAt(int, double) - Method in class weka.gui.arffviewer.ArffTableModel
set the attribute weight at the given col index
setAttrIndexRange(String) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Sets which attributes are used in the cluster.
setAttsToApplyTo(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Set the attributes to apply the rule to
setAttsToApplyTo(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Set the attributes to apply the rule to
setAutoBuild(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
This will set whether the network is automatically built or if it is left up to the user.
setAutoKeyGeneration(boolean) - Method in class weka.core.converters.DatabaseSaver
En/Dis-ables the automatic generation of a primary key.
setAverageDocLength(double) - Method in class weka.core.DictionaryBuilder
Set the average document length to use when normalizing
setAvgNumberOfItemsPerTA(Double) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the avgNumberOfItemsPerTA property.
setAvgNumberOfItemsPerTransaction(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the avgNumberOfItemsPerTransaction property.
setAvgNumberOfTAsPerTAGroup(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the avgNumberOfTAsPerTAGroup property.
setBackground(Color) - Method in class weka.gui.ResultHistoryPanel
Set the background color for this component and the list
setBackground(Color) - Method in class weka.gui.visualize.BMPWriter
sets the background color to use in creating the BMP.
setBackground(Color) - Method in class weka.gui.visualize.JPEGWriter
sets the background color to use in creating the JPEG.
setBackground(Color) - Method in class weka.gui.visualize.PNGWriter
sets the background color to use in creating the PNG.
setBackground(Color) - Method in class weka.gui.visualize.PostscriptGraphics
 
setBackgroundColor(Color) - Method in class weka.gui.scripting.SyntaxDocument
Sets the background color.
setBagSizePercent(int) - Method in class weka.classifiers.meta.Bagging
Sets the size of each bag, as a percentage of the training set size.
setBalanceClass(boolean) - Method in class weka.datagenerators.classifiers.classification.Agrawal
Sets whether the class is balanced.
setBallSplitter(BallSplitter) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Sets the ball splitting algorithm to be used by the TopDown constructor.
setBallTreeConstructor(BallTreeConstructor) - Method in class weka.core.neighboursearch.BallTree
Sets the BallTreeConstructor for building the BallTree (default TopDownConstructor).
setBase(double) - Method in class weka.core.neighboursearch.CoverTree
Sets the base to use for expansion constant.
setBaseEvaluation(Evaluation) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
Set the base evaluation object to use.
setBaseExperiment(Experiment) - Method in class weka.experiment.RemoteExperiment
Set the base experiment.
setBaseForSampling(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set the base for sampling
setBaseline(Baseline) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Sets the value of the baseline property.
setBaselineMethod(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the baselineMethod property.
setBaselineModel(BaselineModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the baselineModel property.
setBaselineScore(Double) - Method in class weka.core.pmml.jaxbbindings.Characteristic
Sets the value of the baselineScore property.
setBaselineScore(Double) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the baselineScore property.
setBaselineStrataVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the baselineStrataVariable property.
setBaseSystemName(String) - Method in class weka.core.packageManagement.PackageManager
Set the name of the main software system for which we manage packages.
setBaseSystemVersion(Object) - Method in class weka.core.packageManagement.PackageManager
Set the current version of the base system for which we manage packages.
setBatchSize(String) - Method in class weka.classifiers.AbstractClassifier
Set the preferred batch size for batch prediction.
setBatchSize(String) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Set the batch size to use.
setBatchSize(String) - Method in class weka.classifiers.meta.Bagging
Set the batch size to use.
setBatchSize(String) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Set the batch size to use.
setBatchSize(String) - Method in class weka.classifiers.meta.FilteredClassifier
Set the batch size to use.
setBatchSize(String) - Method in class weka.classifiers.meta.RandomCommittee
Set the batch size to use.
setBatchSize(String) - Method in class weka.classifiers.meta.RandomSubSpace
Set the batch size to use.
setBatchSize(String) - Method in class weka.classifiers.trees.RandomForest
Set the preferred batch size for batch prediction.
setBatchSize(String) - Method in interface weka.core.BatchPredictor
Set the batch size to use.
setBeanContext(BeanContext) - Method in class weka.gui.beans.AbstractDataSource
Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.CostBenefitAnalysis
 
setBeanContext(BeanContext) - Method in class weka.gui.beans.DataVisualizer
Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.GraphViewer
Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.Loader
Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.ModelPerformanceChart
Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.TextViewer
Set a bean context for this bean
setBeanInstances(Vector<Object>, JComponent, Integer...) - Static method in class weka.gui.beans.BeanInstance
Adds the supplied collection of beans at the supplied index in the list of collections.
setBestFit(TIMESERIESALGORITHM) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Sets the value of the bestFit property.
setBeta(double) - Method in class weka.core.pmml.jaxbbindings.PCell
Sets the value of the beta property.
setBias(double) - Method in class weka.classifiers.functions.SGDText
 
setBias(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
Sets the value of the bias property.
setBiasToUniformClass(double) - Method in class weka.filters.supervised.instance.Resample
Sets the bias towards a uniform class.
setBIC(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the bic property.
setBIFFile(String) - Method in class weka.classifiers.bayes.BayesNet
Set name of network in BIF file to compare with
setBIFFile(String) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
Set name of network in BIF file to read structure from
setBinarizeNumericAttributes(boolean) - Method in class weka.attributeSelection.InfoGainAttributeEval
Binarize numeric attributes.
setBinaryAttributesNominal(boolean) - Method in class weka.filters.supervised.attribute.NominalToBinary
Sets if binary attributes are to be treates as nominal ones.
setBinaryAttributesNominal(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Sets if binary attributes are to be treates as nominal ones.
setBinarySimilarity(BinarySimilarity) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the binarySimilarity property.
setBinarySplits(boolean) - Method in class weka.classifiers.rules.PART
Set the value of binarySplits.
setBinarySplits(boolean) - Method in class weka.classifiers.trees.J48
Set the value of binarySplits.
setBinRangePrecision(int) - Method in class weka.filters.supervised.attribute.Discretize
Set the precision for bin boundaries.
setBinRangePrecision(int) - Method in class weka.filters.unsupervised.attribute.Discretize
Set the precision for bin boundaries.
setBins(int) - Method in class weka.filters.unsupervised.attribute.Discretize
Sets the number of bins to divide each selected numeric attribute into
setBins(int) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Ignored
setBinValue(String) - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
Sets the value of the binValue property.
setBlendFactor(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
Set the blending factor
setBlendMethod(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
Set the blending method
setBlockEnd(String) - Method in class weka.gui.scripting.SyntaxDocument
Sets the string that is the end of a block.
setBlockOnLastFold(boolean) - Method in class weka.gui.beans.Classifier
Set whether to block on receiving the last fold of the last run rather than rejecting any further data until all processing is complete.
setBlockStart(String) - Method in class weka.gui.scripting.SyntaxDocument
Sets the string that is the start of a block.
setBold(boolean) - Method in class weka.gui.CloseableTabTitle
Set a bold look for the tab
setBoolean(String, boolean) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
Sets the value of a boolean variable
setBooleanCols(Range) - Method in class weka.datagenerators.clusterers.SubspaceCluster
Sets which attributes are boolean.
setBooleanIndices(String) - Method in class weka.datagenerators.clusterers.SubspaceCluster
Sets which attributes are boolean
setBooleanOperator(String) - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
Sets the value of the booleanOperator property.
setBooleanOperator(String) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
Sets the value of the booleanOperator property.
setBoundaryValueMeans(BoundaryValueMeans) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Sets the value of the boundaryValueMeans property.
setBoundaryValues(BoundaryValues) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Sets the value of the boundaryValues property.
setBoundaryValues(BoundaryValues) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
Sets the value of the boundaryValues property.
setBreakTiesRandomly(boolean) - Method in class weka.classifiers.trees.RandomForest
Set whether to break ties randomly.
setBreakTiesRandomly(boolean) - Method in class weka.classifiers.trees.RandomTree
Set whether to break ties randomly.
setBuffer(StringBuffer) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Sets the buffer to use.
setBufferSize(int) - Method in class weka.core.converters.CSVLoader
Set the buffer size to use - i.e.
setBufferSize(String) - Method in class weka.gui.beans.Sorter
Set the size of the in-memory buffer
setBufferSize(String) - Method in class weka.knowledgeflow.steps.Sorter
Set the size of the in-memory buffer
setBuildCalibrationModels(boolean) - Method in class weka.classifiers.functions.SMO
Set the value of buildCalibrationModels.
setBuildRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.M5Base
Set the value of regressionTree.
setBusinessProblem(String) - Method in class weka.core.pmml.jaxbbindings.Decisions
Sets the value of the businessProblem property.
setButtonEnabled(boolean) - Method in class weka.gui.CloseableTabTitle
Enable/disable the close widget
setC(double) - Method in class weka.classifiers.functions.SMO
Set the value of C.
setC(double) - Method in class weka.classifiers.functions.SMOreg
Set the value of C.
setC00Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Sets the value of the c00Parameter property.
setC01Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Sets the value of the c01Parameter property.
setC10Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Sets the value of the c10Parameter property.
setC11Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Sets the value of the c11Parameter property.
setCacheKeyName(String) - Method in class weka.experiment.DatabaseResultListener
Set the value of CacheKeyName.
setCacheSize(int) - Method in class weka.classifiers.functions.supportVector.CachedKernel
Sets the size of the cache to use (a prime number)
setCacheSize(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
Sets the size of the cache to use (a prime number)
setCalcOutOfBag(boolean) - Method in class weka.classifiers.meta.Bagging
Set whether the out of bag error is calculated.
setCalculateStdDevs(boolean) - Method in class weka.experiment.AveragingResultProducer
Set the value of CalculateStdDevs.
setCalibrator(Classifier) - Method in class weka.classifiers.functions.SMO
sets the calibrator to use
setCanChangeClassInDialog(boolean) - Method in class weka.gui.GenericObjectEditor
Sets whether the user can change the class in the dialog.
setCanopies(Instances) - Method in class weka.clusterers.Canopy
Set the canopies to use (replaces any learned by this clusterer already)
setCanopyMaxNumCanopiesToHoldInMemory(int) - Method in class weka.clusterers.SimpleKMeans
Set the maximum number of candidate canopies to retain in memory during training.
setCanopyMinimumCanopyDensity(double) - Method in class weka.clusterers.SimpleKMeans
Set the minimum T2-based density below which a canopy will be pruned during periodic pruning.
setCanopyPeriodicPruningRate(int) - Method in class weka.clusterers.SimpleKMeans
Set the how often to prune low density canopies during training (if using canopy clustering)
setCanopyT1(double) - Method in class weka.clusterers.SimpleKMeans
Set the t1 radius to use when canopy clustering is being used as start points and/or to reduce the number of distance calcs
setCanopyT2(double) - Method in class weka.clusterers.SimpleKMeans
Set the t2 radius to use when canopy clustering is being used as start points and/or to reduce the number of distance calcs
setCapabilities(Capabilities) - Method in class weka.core.FindWithCapabilities
Uses the given Capabilities for the search.
setCapabilities(Capabilities) - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
sets the initial capabilities.
setCapabilitiesFilter(Capabilities) - Method in class weka.gui.ConverterFileChooser
sets the capabilities that the savers must have.
setCapabilitiesFilter(Capabilities) - Method in class weka.gui.GenericObjectEditor
Sets the capabilities to use for filtering.
setCapacity(int) - Method in class weka.core.FastVector
Deprecated.
Sets the vector's capacity to the given value.
setCapacity(int) - Method in class weka.core.matrix.DoubleVector
Sets the capacity of the vector
setCapacity(int) - Method in class weka.core.matrix.IntVector
Sets the capacity of the vector
setCar(boolean) - Method in class weka.associations.Apriori
Sets class association rule mining
setCardinality(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Counts
Sets the value of the cardinality property.
setCardinality(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
Sets the cardinality of the attributes (incl class attribute)
setCaseSensitive(boolean) - Method in class weka.gui.scripting.SyntaxDocument
Sets whether the keywords are case-sensitive or not.
setCastInteger(String) - Method in class weka.core.pmml.jaxbbindings.Target
Sets the value of the castInteger property.
setCategoricalScoringMethod(CATSCORINGMETHOD) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the categoricalScoringMethod property.
setCategories(Categories) - Method in class weka.core.pmml.jaxbbindings.Predictor
Sets the value of the categories property.
setCategory(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the category property.
setCell(int, int, Object) - Method in class weka.classifiers.CostMatrix
Set the value of a particular cell in the matrix
setCenter(double) - Method in class weka.gui.treevisualizer.Node
Set the value of center.
setCenterData(boolean) - Method in class weka.attributeSelection.PrincipalComponents
Set whether to center (rather than standardize) the data.
setCenterData(boolean) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Set whether to center (rather than standardize) the data.
setCenteredLocation() - Method in class weka.gui.arffviewer.ArffViewer
positions the window at the center of the screen
setChanged(boolean) - Method in class weka.gui.arffviewer.ArffPanel
can only reset the changed state to FALSE
setChar(Character) - Method in class weka.core.Trie.TrieNode
sets the character this node represents
setCharSet(String) - Method in class weka.core.converters.TextDirectoryLoader
Set the character set to use when reading text files (an empty string indicates that the default character set will be used).
setChartingEvalWindowSize(int) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Set whether to compute evaluation for charting over a fixed sized window of the most recent instances (rather than the whole stream).
setChartingEvalWindowSize(int) - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Set whether to compute evaluation for charting over a fixed sized window of the most recent instances (rather than the whole stream).
setChebychev(Chebychev) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the chebychev property.
setChecked(int, boolean) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
sets the checked state of the element at the given index
setChecked(int, boolean) - Method in class weka.gui.CheckBoxList
sets the checked state of the element at the given index
setCheckErrorRate(boolean) - Method in class weka.classifiers.rules.JRip
Sets whether to check for error rate is in stopping criterion
setChecksTurnedOff(boolean) - Method in class weka.classifiers.functions.SMO
Disables or enables the checks (which could be time-consuming).
setChecksTurnedOff(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
These methods remain for backwards compatibility.
setChecksTurnedOff(boolean) - Method in class weka.filters.unsupervised.attribute.KernelFilter
Disables or enables the checks (which could be time-consuming).
setChild(String, HNode) - Method in class weka.classifiers.trees.ht.SplitNode
Add a child
setChildField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
Sets the value of the childField property.
setChiSquareValue(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the chiSquareValue property.
setCindex(int, double, double) - Method in class weka.gui.visualize.AttributePanel
Set the index of the attribute by which to colour the data.
setCindex(int) - Method in class weka.gui.visualize.AttributePanel
Set the index of the attribute by which to colour the data.
setCindex(int) - Method in class weka.gui.visualize.ClassPanel
Set the index of the attribute to display coloured labels for
setCindex(int) - Method in class weka.gui.visualize.Plot2D
Set the index of the attribute to use for colouring
setCindex(int) - Method in class weka.gui.visualize.PlotData2D
Set the colouring index of the data
setCityBlock(CityBlock) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the cityBlock property.
setClass(Attribute) - Method in class weka.core.Instances
Sets the class attribute.
setClassColumn(String) - Method in class weka.gui.beans.ClassAssigner
 
setClassColumn(String) - Method in class weka.knowledgeflow.steps.ClassAssigner
Set the class column to use
setClassFlag(boolean) - Method in class weka.datagenerators.ClusterGenerator
Sets the class flag, if class flag is set, the cluster is listed as class atrribute in an extra attribute.
setClassForIRStatistics(int) - Method in class weka.experiment.ClassifierSplitEvaluator
Set the value of ClassForIRStatistics.
setClassificationMethod(SVMCLASSIFICATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Sets the value of the classificationMethod property.
setClassifier(Classifier) - Method in class weka.attributeSelection.ClassifierAttributeEval
Set the classifier to use for accuracy estimation
setClassifier(Classifier) - Method in class weka.attributeSelection.ClassifierSubsetEval
Set the classifier to use for accuracy estimation
setClassifier(Classifier) - Method in class weka.attributeSelection.WrapperSubsetEval
Set the classifier to use for accuracy estimation
setClassifier(Classifier) - Method in class weka.classifiers.BVDecompose
Set the classifiers being analysed
setClassifier(Classifier) - Method in class weka.classifiers.BVDecomposeSegCVSub
Set the classifiers being analysed
setClassifier(Classifier) - Method in class weka.classifiers.CheckClassifier
Set the classifier for boosting.
setClassifier(Classifier) - Method in class weka.classifiers.CheckSource
Sets the classifier to use for the comparison.
setClassifier(Classifier) - Method in class weka.classifiers.SingleClassifierEnhancer
Set the base learner.
setClassifier(Classifier) - Method in class weka.classifiers.trees.RandomForest
This method only accepts RandomTree arguments.
setClassifier(Classifier) - Method in class weka.experiment.ClassifierSplitEvaluator
Sets the classifier.
setClassifier(Classifier) - Method in class weka.experiment.RegressionSplitEvaluator
Sets the classifier.
setClassifier(Classifier) - Method in class weka.filters.supervised.attribute.AddClassification
Sets the classifier to classify instances with.
setClassifier(Classifier) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Sets the classifier to classify instances with.
setClassifier(Classifier) - Method in class weka.gui.beans.BatchClassifierEvent
Set the classifier
setClassifier(Classifier) - Method in class weka.gui.beans.IncrementalClassifierEvent
 
setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set the classifier to use.
setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Set a classifier to use
setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the classifier to use
setClassifier(Classifier) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Sets the classifier used for making the predictions.
setClassifier(Classifier) - Method in class weka.knowledgeflow.steps.Classifier
Set the classifier to train
setClassifierName(String) - Method in class weka.experiment.ClassifierSplitEvaluator
Set the Classifier to use, given it's class name.
setClassifierName(String) - Method in class weka.experiment.RegressionSplitEvaluator
Set the Classifier to use, given it's class name.
setClassifierPanel(ClassifierPanel) - Method in interface weka.gui.explorer.ClassifierPanelLaunchHandlerPlugin
Allows the classifier panel to pass in a reference to itself
setClassifiers(Classifier[]) - Method in class weka.classifiers.meta.MultiScheme
Sets the list of possible classifers to choose from.
setClassifiers(Classifier[]) - Method in class weka.classifiers.MultipleClassifiersCombiner
Sets the list of possible classifers to choose from.
setClassifierTemplate(Classifier) - Method in class weka.gui.beans.Classifier
Set the template classifier for this wrapper
setClassifyIterations(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
Sets the number of times an instance is classified
setClassIndex(int) - Method in class weka.associations.Apriori
Sets the class index
setClassIndex(int) - Method in interface weka.associations.CARuleMiner
Sets the class index for the class association rule miner
setClassIndex(int) - Method in class weka.associations.FilteredAssociator
Sets the class index
setClassIndex(int) - Method in class weka.classifiers.BVDecompose
Sets index of attribute to discretize on
setClassIndex(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
Sets index of attribute to discretize on
setClassIndex(int) - Method in class weka.classifiers.CheckSource
Sets the class index of the dataset.
setClassIndex(String) - Method in class weka.core.converters.JSONSaver
Sets index of the class attribute.
setClassIndex(String) - Method in class weka.core.converters.LibSVMSaver
Sets index of the class attribute.
setClassIndex(String) - Method in class weka.core.converters.SVMLightSaver
Sets index of the class attribute.
setClassIndex(String) - Method in class weka.core.converters.XRFFSaver
Sets index of the class attribute.
setClassIndex(String) - Method in class weka.core.FindWithCapabilities
sets the class index, -1 for none, first and last are also valid.
setClassIndex(int) - Method in class weka.core.Instances
Sets the class index of the set.
setClassIndex(int) - Method in class weka.core.TestInstances
sets the class index (0-based)
setClassIndex(int) - Method in class weka.filters.CheckSource
Sets the class index of the dataset.
setClassIndex(String) - Method in class weka.filters.unsupervised.attribute.ClassAssigner
sets the class index.
setClassIndex(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Sets the attribute on which misclassifications are based.
setClassIndex(int) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Sets the 0-based class index.
setClassLabels(ClassLabels) - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
Sets the value of the classLabels property.
setClassMissing() - Method in class weka.core.AbstractInstance
Sets the class value of an instance to be "missing".
setClassMissing() - Method in interface weka.core.Instance
Sets the class value of an instance to be "missing".
setClassname(String) - Method in class weka.core.AllJavadoc
sets the classname of the class to generate the Javadoc for
setClassname(String) - Method in class weka.core.Javadoc
sets the classname of the class to generate the Javadoc for
setClassname(String) - Method in class weka.core.ListOptions
sets the classname of the class to generate the Javadoc for
setClassName(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
Sets the class containing the transformation method.
setClassOrder(int) - Method in class weka.filters.supervised.attribute.ClassOrder
Set the wanted class order
setClassType(int) - Method in class weka.core.TestInstances
sets the class attribute type
setClassType(Class<?>) - Method in class weka.gui.GenericObjectEditor
Sets the class of values that can be edited.
setClassValue(double) - Method in class weka.core.AbstractInstance
Sets the class value of an instance to the given value (internal floating-point format).
setClassValue(String) - Method in class weka.core.AbstractInstance
Sets the class value of an instance to the given value.
setClassValue(double) - Method in interface weka.core.Instance
Sets the class value of an instance to the given value (internal floating-point format).
setClassValue(String) - Method in interface weka.core.Instance
Sets the class value of an instance to the given value.
setClassValue(String) - Method in class weka.gui.beans.ClassValuePicker
Set the class value considered to be the "positive" class value.
setClassValue(String) - Method in class weka.knowledgeflow.steps.ClassValuePicker
Set the class value considered to be the "positive" class value.
setClassValueIndex(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the class value index to use
setClearEachDataset(boolean) - Method in class weka.gui.streams.InstanceViewer
 
setClip(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
setClip(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
setCloseTo(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Set the "close to" number.
setCloseToDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Set the "close to" default.
setCloseToTolerance(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Set the "close to" Tolerance.
setClosure(String) - Method in class weka.core.pmml.jaxbbindings.Interval
Sets the value of the closure property.
setClusterCanopyAssignments(List<long[]>) - Method in class weka.clusterers.Canopy
Set the canopies that each canopy (cluster center) is within T1 distance of
setClusterDefinitions(ClusterDefinition[]) - Method in class weka.datagenerators.clusterers.SubspaceCluster
sets the clusters to use
setClusterer(Clusterer) - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
Set the clusterer to use
setClusterer(Clusterer) - Method in class weka.clusterers.CheckClusterer
Set the clusterer for testing.
setClusterer(Clusterer) - Method in class weka.clusterers.ClusterEvaluation
set the clusterer
setClusterer(Clusterer) - Method in class weka.clusterers.MakeDensityBasedClusterer
Sets the clusterer to wrap.
setClusterer(Clusterer) - Method in class weka.clusterers.SingleClustererEnhancer
Set the base clusterer.
setClusterer(DensityBasedClusterer) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Sets the clusterer.
setClusterer(Clusterer) - Method in class weka.filters.unsupervised.attribute.AddCluster
Sets the clusterer to assign clusters with.
setClusterer(Clusterer) - Method in class weka.gui.beans.Clusterer
Set the clusterer for this wrapper
setClusterer(Clusterer) - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
Sets the classifier used for making the predictions.
setClusterer(Clusterer) - Method in class weka.knowledgeflow.steps.Clusterer
Set the clusterer to train
setClustererName(String) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Set the Clusterer to use, given it's class name.
setClustererPanel(ClustererPanel) - Method in interface weka.gui.explorer.ClustererPanelLaunchHandlerPlugin
Allows the clusterer panel to pass in a reference to itself
setClusterEvaluation(ClusterEvaluation) - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
Sets the cluster evaluation object to use.
setClusteringModel(ClusteringModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the clusteringModel property.
setClusterSubType(SelectedTag) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Sets the cluster sub type.
setClusterType(SelectedTag) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Sets the cluster type.
setCoef0(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Sets the value of the coef0 property.
setCoef0(Double) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
Sets the value of the coef0 property.
setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
Sets the value of the coefficient property.
setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
Sets the value of the coefficient property.
setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
Sets the value of the coefficient property.
setCoefficients(Coefficients) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Sets the value of the coefficients property.
setCol(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MatCell
Sets the value of the col property.
setColHidden(int, boolean) - Method in class weka.experiment.ResultMatrix
sets the hidden status of the column (if the index is valid).
setCollapseTree(boolean) - Method in class weka.classifiers.trees.J48
Set the value of collapseTree.
setCollectPredictionsForVisAndAUC(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
setColName(int, String) - Method in class weka.experiment.ResultMatrix
sets the name of the column (if the index is valid).
setColNameWidth(int) - Method in class weka.experiment.ResultMatrix
sets the width for the column names (0 = optimal).
setColor(Color) - Method in class weka.gui.treevisualizer.Node
Set the value of color.
setColor(Color) - Method in class weka.gui.visualize.PostscriptGraphics
Set current pen color.
setColOrder(int[]) - Method in class weka.experiment.ResultMatrix
sets the ordering of the columns, null means default.
setColoringIndex(int) - Method in class weka.gui.AttributeVisualizationPanel
Set the coloring (class) index for the plot
setColoringIndex(int) - Method in class weka.gui.beans.AttributeSummarizer
Set the coloring index for the attribute summary plots
setColors(ArrayList<Color>) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set a vector of Color objects for the classes
setColourIndex(int, boolean) - Method in class weka.gui.visualize.VisualizePanel
Set the index for colouring.
setColourIndex(int) - Method in class weka.gui.visualize.VisualizePanel
Sets the index used for colouring.
setColours(ArrayList<Color>) - Method in class weka.gui.visualize.AttributePanel
Sets a list of colours to use for colouring data points
setColours(ArrayList<Color>) - Method in class weka.gui.visualize.ClassPanel
Set a list of colours to use for colouring labels
setColours(ArrayList<Color>) - Method in class weka.gui.visualize.Plot2D
Set a list of colours to use when colouring points according to class values or cluster numbers
setColumn(int, double[]) - Method in class weka.core.Matrix
Deprecated.
Sets a column of the matrix to the given column.
setColumn(String) - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
Sets the value of the column property.
setColumn(String) - Method in class weka.core.pmml.jaxbbindings.InstanceField
Sets the value of the column property.
setColumn(String) - Method in class weka.core.pmml.jaxbbindings.VerificationField
Sets the value of the column property.
setCombinationRule(SelectedTag) - Method in class weka.classifiers.meta.Vote
Sets the combination rule to use.
setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Sets the value of the compareFunction property.
setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the compareFunction property.
setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.KNNInput
Sets the value of the compareFunction property.
setComparisons(Comparisons) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Sets the value of the comparisons property.
setComponent(JComponent) - Method in class weka.gui.visualize.JComponentWriter
sets the component to print to an output format
setComposite(Composite) - Method in class weka.gui.visualize.PostscriptGraphics
 
setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
Sets the value of the compoundPredicate property.
setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Sets the value of the compoundPredicate property.
setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the compoundPredicate property.
setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the compoundPredicate property.
setCompressOutput(boolean) - Method in class weka.core.converters.ArffSaver
Sets whether to compress the output.
setCompressOutput(boolean) - Method in class weka.core.converters.JSONSaver
Sets whether to compress the output.
setCompressOutput(boolean) - Method in class weka.core.converters.XRFFSaver
Sets whether to compress the output.
setComputeAttributeImportance(boolean) - Method in class weka.classifiers.trees.RandomForest
Set whether to compute and output attribute importance scores
setComputeImpurityDecreases(boolean) - Method in class weka.classifiers.trees.RandomTree
Set whether to compute/store impurity decreases for variable importance in RandomForest
setComputeMaxRowsInParallel(int) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set the maximum number of threads to use when computing image rows
setConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Sets the value of the confidence property.
setConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Sets the value of the confidence property.
setConfidence(double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Sets the value of the confidence property.
setConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the confidence property.
setConfidenceFactor(float) - Method in class weka.classifiers.rules.PART
Set the value of CF.
setConfidenceFactor(float) - Method in class weka.classifiers.trees.J48
Set the value of CF.
setConfidenceLevel(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the confidenceLevel property.
setConfidenceLowerBound(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the confidenceLowerBound property.
setConfidenceUpperBound(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the confidenceUpperBound property.
setConfirmExit(boolean) - Method in class weka.gui.arffviewer.ArffViewer
whether to present a MessageBox on Exit or not
setConfirmExit(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
whether to present a MessageBox on Exit or not
setConfusionMatrix(ConfusionMatrix) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the confusionMatrix property.
setConnectionName(String) - Method in class weka.knowledgeflow.Data
Set the connection name for this Data object
setConnections(Vector<BeanConnection>, Integer...) - Static method in class weka.gui.beans.BeanConnection
Describe setConnections method here.
setConnectPoints(boolean[]) - Method in class weka.gui.visualize.PlotData2D
Set whether consecutive points should be connected by lines
setConnectPoints(ArrayList<Boolean>) - Method in class weka.gui.visualize.PlotData2D
Set whether consecutive points should be connected by lines
setConsequent(double) - Method in class weka.classifiers.rules.JRip.RipperRule
Sets the internal representation of the class label to be predicted
setConsequent(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Sets the value of the consequent property.
setConservativeForwardSelection(boolean) - Method in class weka.attributeSelection.GreedyStepwise
Set whether attributes should continue to be added during a forward search as long as merit does not decrease
setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the constant property.
setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the constant property.
setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the constant property.
setConsumeNonMatching(boolean) - Method in class weka.gui.beans.SubstringLabeler
Set whether instances that do not match any of the rules should be "consumed" rather than output with a missing value set for the new attribute.
setConsumeNonMatching(boolean) - Method in class weka.gui.beans.SubstringLabelerRules
Set whether to consume non matching instances.
setConsumeNonMatching(boolean) - Method in class weka.knowledgeflow.steps.SubstringLabeler
Set whether instances that do not match any of the rules should be "consumed" rather than output with a missing value set for the new attribute.
setContainChildBalls(boolean) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Sets whether if a parent ball should completely enclose its two child balls.
setContent(String) - Method in class weka.core.pmml.jaxbbindings.ArrayType
Sets the value of the content property.
setContent(String) - Method in class weka.gui.scripting.Script
Sets the content.
setContentType(String) - Method in class weka.gui.DocumentPrinting
Sets the content type.
setContinuousScoringMethod(CONTSCORINGMETHOD) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the continuousScoringMethod property.
setContrastMatrixType(String) - Method in class weka.core.pmml.jaxbbindings.Predictor
Sets the value of the contrastMatrixType property.
setContStats(ContStats) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Sets the value of the contStats property.
setConvertNominal(boolean) - Method in class weka.classifiers.trees.LMT
Set the value of convertNominal.
setCoord1(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
Sets the value of the coord1 property.
setCoord2(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
Sets the value of the coord2 property.
setCoord3(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
Sets the value of the coord3 property.
setCopyright(String) - Method in class weka.core.pmml.jaxbbindings.Header
Sets the value of the copyright property.
setCoreConvertersOnly(boolean) - Method in class weka.gui.ConverterFileChooser
Whether to display only the hardocded core converters.
setCorrelationFields(CorrelationFields) - Method in class weka.core.pmml.jaxbbindings.Correlations
Sets the value of the correlationFields property.
setCorrelationMethods(CorrelationMethods) - Method in class weka.core.pmml.jaxbbindings.Correlations
Sets the value of the correlationMethods property.
setCorrelations(Correlations) - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
Sets the value of the correlations property.
setCorrelationValues(CorrelationValues) - Method in class weka.core.pmml.jaxbbindings.Correlations
Sets the value of the correlationValues property.
setCostMatrix(CostMatrix) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Sets the misclassification cost matrix.
setCostMatrixSource(SelectedTag) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Sets the source location of the cost matrix.
setCostMatrixString(String) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Set the cost matrix to use as a string
setCount(double) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
Sets the value of the count property.
setCount(double) - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
Sets the value of the count property.
setCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeException
Sets the value of the count property.
setCount(int, double) - Method in class weka.experiment.ResultMatrix
sets the count for the row (if the index is valid).
setCounter(int) - Method in class weka.associations.ItemSet
Sets the counter
setCounts(Counts) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Sets the value of the counts property.
setCounts(Counts) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Sets the value of the counts property.
setCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.Baseline
Sets the value of the countTable property.
setCountWidth(int) - Method in class weka.experiment.ResultMatrix
sets the width for the counts (0 = optimal).
setCovariances(Covariances) - Method in class weka.core.pmml.jaxbbindings.Cluster
Sets the value of the covariances property.
setCreatorApplication(Document) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Set the name of the application (if specified) that created this model
setCreatorApplication(Document) - Method in interface weka.core.pmml.PMMLModel
Set the name of the application (if specified) that created this.
setCriterion(String) - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
Sets the value of the criterion property.
setCrossVal(int) - Method in class weka.classifiers.rules.DecisionTable
Sets the number of folds for cross validation (1 = leave one out)
setCrossValidate(boolean) - Method in class weka.classifiers.lazy.IBk
Sets whether hold-one-out cross-validation will be used to select the best k value.
setCumHazard(double) - Method in class weka.core.pmml.jaxbbindings.BaselineCell
Sets the value of the cumHazard property.
setCumulativeLink(CUMULATIVELINKFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the cumulativeLink property.
setCurrentDirectory(String) - Method in class weka.gui.FileEnvironmentField
 
setCurrentDirectory(File) - Method in class weka.gui.FileEnvironmentField
 
setCurrentFilename(String) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
sets the filename of the current tab
setCurrentInstance(Instance) - Method in class weka.gui.beans.IncrementalClassifierEvent
Set the current instance for this event
setCurrentTabTitleEditedStatus(boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Set the edited status for the current (visible) tab
setCurrentZoomSetting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setCurveData(PlotData2D, Attribute) - Method in class weka.gui.beans.CostBenefitAnalysis
Set the threshold curve data to use.
setCustomColour(Color) - Method in class weka.gui.visualize.PlotData2D
Set a custom colour to use for this plot.
setCustomHeight(int) - Method in class weka.gui.visualize.JComponentWriter
sets the custom height to use
setCustomName(String) - Method in class weka.gui.beans.Appender
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Associator
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in interface weka.gui.beans.BeanCommon
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ClassAssigner
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Classifier
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ClassValuePicker
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Clusterer
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.CostBenefitAnalysis
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.DataVisualizer
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Filter
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.FlowByExpression
 
setCustomName(String) - Method in class weka.gui.beans.ImageSaver
 
setCustomName(String) - Method in class weka.gui.beans.ImageViewer
 
setCustomName(String) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Join
Set a custom name for this step
setCustomName(String) - Method in class weka.gui.beans.Loader
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.MetaBean
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ModelPerformanceChart
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.PredictionAppender
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Saver
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.SerializedModelSaver
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Sorter
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.StripChart
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.SubstringLabeler
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.SubstringReplacer
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.TestSetMaker
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.TextSaver
 
setCustomName(String) - Method in class weka.gui.beans.TextViewer
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.TrainingSetMaker
Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.TrainTestSplitMaker
Set a custom (descriptive) name for this bean
setCustomPropsFile(File) - Method in class weka.core.converters.DatabaseLoader
Sets the custom properties file to use.
setCustomPropsFile(File) - Method in class weka.core.converters.DatabaseSaver
Sets the custom properties file to use.
setCustomPropsFile(File) - Method in class weka.experiment.InstanceQuery
Sets the custom properties file to use.
setCustomWidth(int) - Method in class weka.gui.visualize.JComponentWriter
sets the custom width to use
setCutoff(double) - Method in class weka.clusterers.Cobweb
set the cutoff
setCVisible(boolean) - Method in class weka.gui.treevisualizer.Node
Sets all the children of this node either to visible or invisible
setCVParameters(Object[]) - Method in class weka.classifiers.meta.CVParameterSelection
Set method for CVParameters.
setCVType(SelectedTag) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
set cross validation strategy to be used in searching for networks.
setD00Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Sets the value of the d00Parameter property.
setD01Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Sets the value of the d01Parameter property.
setD10Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Sets the value of the d10Parameter property.
setD11Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
Sets the value of the d11Parameter property.
setData(Instances) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Assuming a network structure is defined and we want to learn from data, the data set must be put if correct order first and possibly discretized/missing values filled in before proceeding to CPT learning.
setData(Instances) - Method in class weka.classifiers.rules.RuleStats
Set the data of the stats, overwriting the old one if any
setData(String) - Method in class weka.knowledgeflow.steps.DataGrid
Set the data to be output by this DataGrid in textual ARFF format.
setDatabaseURL(String) - Method in class weka.experiment.DatabaseUtils
Set the value of DatabaseURL.
setDataDictionary(DataDictionary) - Method in class weka.core.pmml.jaxbbindings.PMML
Sets the value of the dataDictionary property.
setDataFileName(String) - Method in class weka.classifiers.BVDecompose
Sets the name of the data file used for the decomposition
setDataFileName(String) - Method in class weka.classifiers.BVDecomposeSegCVSub
Sets the name of the dataset file.
setDataGenerator(DataGenerator) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set the data generator to use for generating new instances
setDataGenerator(DataGenerator) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the density estimator to use
setDataGenerator(DataGenerator) - Method in class weka.knowledgeflow.steps.DataGenerator
Set the data generator
setDataName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
Sets the value of the dataName property.
setDataName(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the dataName property.
setDataPoint(double[]) - Method in class weka.gui.beans.ChartEvent
Set the data point
setDataset(File) - Method in class weka.classifiers.CheckSource
Sets the dataset to use for testing.
setDataset(Instances) - Method in class weka.core.AbstractInstance
Sets the reference to the dataset.
setDataset(Instances) - Method in interface weka.core.Instance
Sets the reference to the dataset.
setDataset(File) - Method in class weka.filters.CheckSource
Sets the dataset to use for testing.
setDataSet(PlotData2D, Attribute) - Method in class weka.gui.CostBenefitAnalysisPanel
Set the threshold data for the panel to use.
setDatasetFormat(Instances) - Method in class weka.datagenerators.DataGenerator
Sets the format of the dataset that is to be generated.
setDatasetKeyColumns(Range) - Method in class weka.experiment.PairedTTester
Set the value of DatasetKeyColumns.
setDatasetKeyColumns(Range) - Method in interface weka.experiment.Tester
Set the value of DatasetKeyColumns.
setDatasetKeyFromDialog() - Method in class weka.gui.experiment.ResultsPanel
 
setDatasets(DefaultListModel) - Method in class weka.experiment.Experiment
Set the datasets to use in the experiment
setDatasets(DefaultListModel) - Method in class weka.experiment.RemoteExperiment
Set the datasets to use in the experiment
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.Constant
Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DataField
Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.Discretize
Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.MapValues
Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.ParameterField
Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.ResultField
Sets the value of the dataType property.
setDataType(int) - Method in class weka.gui.beans.xml.XMLBeans
sets what kind of data is to be read/written
setDataUsage(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the dataUsage property.
setDateAttributes(String) - Method in class weka.core.converters.CSVLoader
Set the attribute range to be forced to type date.
setDateFormat(String) - Method in class weka.core.converters.CSVLoader
Set the format to use for parsing date values.
setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.Add
Set the date format, complying to ISO-8601.
setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Sets the output date format.
setDateFormat(SimpleDateFormat) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Sets the output date format.
setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.NumericToDate
Sets the output date format.
setDateFormat(SimpleDateFormat) - Method in class weka.filters.unsupervised.attribute.NumericToDate
Sets the output date format.
setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Set the date format to use for parsing the date replacement constant
setDateReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Set the date replacement value
setDB(boolean) - Method in class weka.gui.beans.Loader
 
setDebug(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
Set whether to output debugging info
setDebug(boolean) - Method in class weka.classifiers.AbstractClassifier
Set debugging mode.
setDebug(boolean) - Method in class weka.classifiers.BVDecompose
Sets debugging mode
setDebug(boolean) - Method in class weka.classifiers.BVDecomposeSegCVSub
Sets debugging mode
setDebug(boolean) - Method in class weka.classifiers.functions.Logistic
Sets whether debugging output will be printed.
setDebug(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
Enables or disables the output of debug information (if the derived kernel supports that)
setDebug(boolean) - Method in class weka.classifiers.meta.MultiScheme
Set debugging mode
setDebug(boolean) - Method in class weka.classifiers.rules.JRip
Sets whether debug information is output to the console
setDebug(boolean) - Method in class weka.classifiers.trees.RandomForest
Set debugging mode.
setDebug(boolean) - Method in class weka.clusterers.AbstractClusterer
Set debugging mode.
setDebug(boolean) - Method in class weka.clusterers.EM
Set debug mode - verbose output
setDebug(boolean) - Method in class weka.core.Check
Set debugging mode
setDebug(boolean) - Method in class weka.core.converters.TextDirectoryLoader
Sets whether to print some debug information.
setDebug(boolean) - Method in class weka.core.Debug.Random
sets whether to print the generated random values or not
setDebug(boolean) - Method in class weka.core.Optimization
Set whether in debug mode
setDebug(boolean) - Method in class weka.core.stopwords.AbstractStopwords
Set debugging mode.
setDebug(boolean) - Method in class weka.datagenerators.DataGenerator
Sets the debug flag.
setDebug(boolean) - Method in class weka.estimators.CheckEstimator
Set debugging mode
setDebug(boolean) - Method in class weka.estimators.Estimator
Set debugging mode.
setDebug(boolean) - Method in class weka.experiment.DatabaseUtils
Sets whether there should be printed some debugging output to stderr or not.
setDebug(boolean) - Method in class weka.filters.Filter
Set debugging mode.
setDebug(boolean) - Method in class weka.filters.unsupervised.attribute.AddExpression
Set debug mode.
setDebug(boolean) - Method in class weka.gui.scripting.ScriptingPanel
Turns on/off debugging mode.
setDebug(boolean) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
sets debug mode on/off.
setDebug(boolean) - Method in class weka.gui.streams.InstanceCounter
 
setDebug(boolean) - Method in class weka.gui.streams.InstanceJoiner
 
setDebug(boolean) - Method in class weka.gui.streams.InstanceLoader
 
setDebug(boolean) - Method in class weka.gui.streams.InstanceSavePanel
 
setDebug(boolean) - Method in class weka.gui.streams.InstanceTable
 
setDebug(boolean) - Method in class weka.gui.streams.InstanceViewer
 
setDebuggingOutput(boolean) - Method in class weka.attributeSelection.GreedyStepwise
Set whether to output debugging info to the console
setDecay(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
 
setDecimals(int) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Set the number of decimals to round to.
setDecisions(Decisions) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the decisions property.
setDefaultChild(String) - Method in class weka.core.pmml.jaxbbindings.Node
Sets the value of the defaultChild property.
setDefaultConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
Sets the value of the defaultConfidence property.
setDefaultScore(String) - Method in class weka.core.pmml.jaxbbindings.RuleSet
Sets the value of the defaultScore property.
setDefaultValue(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
Sets the value of the defaultValue property.
setDefaultValue(BigInteger) - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
Sets the value of the defaultValue property.
setDefaultValue(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
Sets the value of the defaultValue property.
setDefaultValue(Double) - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
Sets the value of the defaultValue property.
setDefaultValue(Double) - Method in class weka.core.pmml.jaxbbindings.TargetValue
Sets the value of the defaultValue property.
setDefaultValue() - Method in class weka.gui.GenericObjectEditor
Sets the current object to be the default, taken as the first item in the chooser.
setDegree(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Sets the value of the degree property.
setDegreesOfFreedom(double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Sets the value of the degreesOfFreedom property.
setDegreesOfFreedom(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the degreesOfFreedom property.
setDegreesOfFreedom(int) - Method in class weka.experiment.PairedStats
Sets the degrees of freedom (if calibration is required).
setDeleteEmptyBins(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
Sets whether to delete empty bins.
setDeleteListener(ResultHistoryPanel.RDeleteListener) - Method in class weka.gui.ResultHistoryPanel
Set a listener for deletions from the list
setDelimiter(DELIMITER2) - Method in class weka.core.pmml.jaxbbindings.Delimiter
Sets the value of the delimiter property.
setDelimiters(String) - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
Set the value of delimiters.
setDelimiters(String) - Method in class weka.gui.scripting.SyntaxDocument
Sets the delimiter characters to use.
setDelta(double) - Method in class weka.associations.Apriori
Set the value of delta.
setDelta(double) - Method in class weka.associations.FPGrowth
Set the value of delta.
setDelta(double) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Sets the m_fDelta.
setDelta(double) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Sets the m_fDelta.
setDelta(Double) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Sets the value of the delta property.
setDensityBasedClusterer(DensityBasedClusterer) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Set the clusterer for use in filtering
setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.BayesInput
Sets the value of the derivedField property.
setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.NeuralInput
Sets the value of the derivedField property.
setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
Sets the value of the derivedField property.
setDescendantPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
setDescendantPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
setDescending(boolean) - Method in class weka.knowledgeflow.steps.Sorter.SortRule
Set whether the sort should be descending rather than ascending
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Decision
Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Decisions
Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Header
Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
Sets the value of the description property.
setDescription(String) - Method in class weka.core.Settings.SettingKey
Set the description (display name) of this setting
setDesign(boolean) - Method in class weka.gui.beans.AttributeSummarizer
Set whether the appearance of this bean should be design or application
setDesiredWeightOfInstancesPerInterval(double) - Method in class weka.filters.unsupervised.attribute.Discretize
Set the DesiredWeightOfInstancesPerInterval value.
setDestination(File) - Method in class weka.core.converters.AbstractFileSaver
Sets the destination file (and directories if necessary).
setDestination(OutputStream) - Method in class weka.core.converters.AbstractFileSaver
Sets the destination output stream.
setDestination(File) - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
setDestination(OutputStream) - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
setDestination(OutputStream) - Method in class weka.core.converters.ArffSaver
Sets the destination output stream.
setDestination(String, String, String) - Method in class weka.core.converters.DatabaseSaver
Sets the database url.
setDestination(String) - Method in class weka.core.converters.DatabaseSaver
Sets the database url.
setDestination() - Method in class weka.core.converters.DatabaseSaver
Sets the database url using the DatabaseUtils file.
setDestination(OutputStream) - Method in class weka.core.converters.DictionarySaver
 
setDestination(OutputStream) - Method in class weka.core.converters.JSONSaver
Sets the destination output stream.
setDestination(File) - Method in interface weka.core.converters.Saver
Resets the Saver object and sets the destination to be the supplied File object.
setDestination(OutputStream) - Method in interface weka.core.converters.Saver
Resets the Saver object and sets the destination to be the supplied InputStream.
setDestination(OutputStream) - Method in class weka.core.converters.SerializedInstancesSaver
Sets the destination output stream.
setDestination(OutputStream) - Method in class weka.core.converters.XRFFSaver
Sets the destination output stream.
setDetectionPerAttribute(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Set whether an Outlier/ExtremeValue attribute pair is generated for each numeric attribute ("true") or just one pair for all numeric attributes together ("false").
setDF(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the df property.
setDf(BigInteger) - Method in class weka.core.pmml.jaxbbindings.PCell
Sets the value of the df property.
setDiagDefault(Double) - Method in class weka.core.pmml.jaxbbindings.Matrix
Sets the value of the diagDefault property.
setDictionaryFile(File) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Set the dictionary file to read from
setDictionaryFileToSaveTo(File) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Set the dictionary file to save the dictionary to.
setDictionaryIsBinary(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Set whether the dictionary file contains a binary serialized dictionary, rather than a plain text one
setDictionarySource(InputStream) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Set an input stream to load a binary serialized dictionary from, rather than source it from a file
setDictionarySource(Reader) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Set an input reader to load a textual dictionary from, rather than source it from a file
setDir(String) - Method in class weka.core.converters.AbstractFileSaver
Sets the directory where the instances should be stored
setDir(String) - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
setDir(String) - Method in interface weka.core.converters.Saver
Sets the directory of the output file.
setDir(String) - Method in class weka.core.Javadoc
sets the dir containing the file that is to be updated.
setDirAndPrefix(String, String) - Method in class weka.core.converters.AbstractFileSaver
Sets the directory and the file prefix.
setDirAndPrefix(String, String) - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
setDirAndPrefix(String, String) - Method in interface weka.core.converters.Saver
Sets the file prefix and the directory.
setDirection(SelectedTag) - Method in class weka.attributeSelection.BestFirst
Set the search direction
setDirectory(File) - Method in class weka.core.converters.TextDirectoryLoader
sets the source directory
setDirectory(File) - Method in class weka.gui.beans.SerializedModelSaver
Set the directory that the model(s) will be saved into.
setDiscardPredictions(boolean) - Method in class weka.classifiers.evaluation.Evaluation
Sets whether to discard predictions, ie, not storing them for future reference via predictions() method in order to conserve memory.
setDiscardPredictions(boolean) - Method in class weka.classifiers.Evaluation
Sets whether to discard predictions, ie, not storing them for future reference via predictions() method in order to conserve memory.
setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the discretize property.
setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the discretize property.
setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the discretize property.
setDiscrStats(DiscrStats) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Sets the value of the discrStats property.
setDisplayConnectors(boolean) - Method in class weka.gui.beans.BeanVisual
Turn on/off the connector points
setDisplayConnectors(boolean, Color) - Method in class weka.gui.beans.BeanVisual
Turn on/off the connector points
setDisplayConnectors(boolean) - Method in class weka.gui.knowledgeflow.NoteVisual
Turn on/off the connector points
setDisplayConnectors(boolean, Color) - Method in class weka.gui.knowledgeflow.NoteVisual
Turn on/off the connector points
setDisplayConnectors(boolean) - Method in class weka.gui.knowledgeflow.StepVisual
Turn on/off the connector points
setDisplayConnectors(boolean, Color) - Method in class weka.gui.knowledgeflow.StepVisual
Turn on/off the connector points
setDisplayedFromDialog() - Method in class weka.gui.experiment.ResultsPanel
 
setDisplayedResultsets(int[]) - Method in class weka.experiment.PairedTTester
Sets the indicies of the datasets to display (null means all).
setDisplayedResultsets(int[]) - Method in interface weka.experiment.Tester
Sets the indicies of the datasets to display (null means all).
setDisplayModelInOldFormat(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
Set whether to display model output in the old, original format.
setDisplayModelInOldFormat(boolean) - Method in class weka.clusterers.EM
Set whether to display model output in the old, original format.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.DataField
Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
Sets the value of the displayName property.
setDisplayRules(boolean) - Method in class weka.classifiers.rules.DecisionTable
Sets whether rules are to be printed
setDisplayStdDevs(boolean) - Method in class weka.clusterers.SimpleKMeans
Sets whether standard deviations and nominal count.
setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.Decision
Sets the value of the displayValue property.
setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValue
Sets the value of the displayValue property.
setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.Value
Sets the value of the displayValue property.
setDistance(DistanceFunction) - Method in class weka.core.FilteredDistance
Sets the distance
setDistanceFunction(DistanceFunction) - Method in class weka.clusterers.HierarchicalClusterer
 
setDistanceFunction(DistanceFunction) - Method in class weka.clusterers.SimpleKMeans
sets the distance function to use for instance comparison.
setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.CoverTree
Sets the distance function to use for nearest neighbour search.
setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.KDTree
sets the distance function to use for nearest neighbour search.
setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
sets the distance function to use for nearest neighbour search.
setDistanceIsBranchLength(boolean) - Method in class weka.clusterers.HierarchicalClusterer
 
setDistanceWeighting(SelectedTag) - Method in class weka.classifiers.lazy.IBk
Sets the distance weighting method used.
setDistMult(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the distance multiplier.
setDistParameter(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the distParameter property.
setDistribution(String, double[][]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
specify distribution of a node
setDistribution(int, double[][]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
specify distribution of a node
setDistribution(Distribution) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Sets the distribution associated with model.
setDistribution(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the distribution property.
setDistribution(SelectedTag) - Method in class weka.filters.unsupervised.attribute.RandomProjection
Sets the distribution to use for calculating the random matrix
setDistributionSpread(double) - Method in class weka.filters.supervised.instance.SpreadSubsample
Sets the value for the distribution spread
setDocType(String) - Method in class weka.core.xml.XMLDocument
sets the DOCTYPE-String to use in the XML output.
setDocument(Document) - Method in class weka.core.xml.XMLDocument
sets the DOM document to use.
setDocument(JTextPane) - Method in class weka.gui.DocumentPrinting
Sets the document from the given JTextPane.
setDocument(String, Document) - Method in class weka.gui.DocumentPrinting
Sets the document and the according content type.
setDocumentNormalization(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
Sets the value of the documentNormalization property.
setDoNotCheckCapabilities(boolean) - Method in class weka.associations.AbstractAssociator
Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.attributeSelection.ASEvaluation
Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.classifiers.AbstractClassifier
Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
These methods remain for backwards compatibility.
setDoNotCheckCapabilities(boolean) - Method in class weka.clusterers.AbstractClusterer
Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in interface weka.core.CapabilitiesIgnorer
If argument is true, capabilities are not actually checked to improve runtime.
setDoNotCheckCapabilities(boolean) - Method in class weka.core.converters.AbstractSaver
Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.core.FindWithCapabilities
Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.estimators.Estimator
Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.filters.Filter
Set whether not to check capabilities.
setDoNotCheckForModifiedClassAttribute(boolean) - Method in class weka.classifiers.meta.FilteredClassifier
Use this method to determine whether classifier checks whether class attribute has been modified by filter.
setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.rules.PART
Sets the value of doNotMakeSplitPointActualValue.
setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.trees.J48
Sets the value of doNotMakeSplitPointActualValue.
setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.trees.LMT
Sets the value of doNotMakeSplitPointActualValue.
setDoNotOperateOnPerClassBasis(boolean) - Method in class weka.core.converters.DictionarySaver
Set the DoNotOperateOnPerClassBasis value.
setDoNotOperateOnPerClassBasis(boolean) - Method in class weka.core.DictionaryBuilder
Set the DoNotOperateOnPerClassBasis value.
setDoNotOperateOnPerClassBasis(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Set the DoNotOperateOnPerClassBasis value.
setDoNotPrintModels(boolean) - Method in class weka.classifiers.meta.Vote
Set whether to print the individual ensemble models in the output
setDoNotStandardizeAttributes(boolean) - Method in class weka.classifiers.functions.Logistic
Sets whether not to standardize attributes
setDontFilterAfterFirstBatch(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Set whether to apply the filter to instances that arrive once the first (training) batch has been seen.
setDontNormalize(boolean) - Method in class weka.classifiers.functions.SGD
Turn normalization off/on.
setDontNormalize(boolean) - Method in class weka.core.NormalizableDistance
Sets whether if the attribute values are to be normalized in distance calculation.
setDontReplaceMissing(boolean) - Method in class weka.classifiers.functions.SGD
Turn global replacement of missing values off/on.
setDontReplaceMissingValues(boolean) - Method in class weka.clusterers.Canopy
Sets whether missing values are to be replaced.
setDontReplaceMissingValues(boolean) - Method in class weka.clusterers.SimpleKMeans
Sets whether missing values are to be replaced.
setDontShowDialog(String) - Static method in class weka.core.Utils
Specify that the named dialog is not to be displayed in the future.
setDontShowDialogResponse(String, String) - Static method in class weka.core.Utils
Specify that the named dialog is not to be shown again in the future.
setDouble(String, double) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
Sets the value of a double variable
setDynamicArgsField(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Set the name of the attribute in the incoming instance structure that contains the arguments to the command to execute
setDynamicCmdField(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Set the name of the attribute in the incoming instance structure that contains the command to execute
setDynamicVarsInternalRep(String) - Method in class weka.knowledgeflow.steps.SetVariables
 
setDynamicWorkingDirField(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Set the name of the attribute in the incoming instance structure that containst the working directory for the command to execute
setEditable(boolean) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
Set the editable status of the combo box.
setEditable(boolean) - Method in class weka.gui.EnvironmentField
Set the editable status of the combo box.
setEditable(boolean) - Method in class weka.gui.PasswordField
Set the editable status of the password box.
setEdited(boolean) - Method in class weka.gui.knowledgeflow.VisibleLayout
Set the edited status of this flow
setEditedStatus(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setEditedStatus(int, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setElement(int, int, double) - Method in class weka.classifiers.CostMatrix
Set the value of a cell as a double
setElement(int, double) - Method in class weka.core.AlgVector
Sets an element of the matrix to the given value.
setElement(int, int, double) - Method in class weka.core.Matrix
Deprecated.
Sets an element of the matrix to the given value.
setElementAt(E, int) - Method in class weka.core.FastVector
Deprecated.
Sets the element at the given index.
setElementAt(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Sets the component at the specified index of this list to be the specified object.
setElements(double[]) - Method in class weka.core.AlgVector
Sets the elements of the vector to values of the given array.
setEliminateColinearAttributes(boolean) - Method in class weka.classifiers.functions.LinearRegression
Set the value of EliminateColinearAttributes.
setEmpty(String) - Method in class weka.core.TestOptions
 
setEnabled(boolean) - Method in class weka.core.Debug
sets whether the logging is enabled or not
setEnabled(boolean) - Method in class weka.core.Memory
sets whether the memory management is enabled
setEnabled(boolean) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
Set the enabled status of the combo box.
setEnabled(boolean) - Method in class weka.gui.beans.FileEnvironmentField
Deprecated.
Set the enabled status of the combo box and button
setEnabled(boolean) - Method in class weka.gui.EnvironmentField
Set the enabled status of the combo box.
setEnabled(boolean) - Method in class weka.gui.FileEnvironmentField
Set the enabled status of the combo box and button
setEnabled(boolean) - Method in class weka.gui.GenericObjectEditor
Sets whether the editor is "enabled", meaning that the current values will be painted.
setEnabled(boolean) - Method in class weka.gui.PasswordField
Set the enabled status of the password box
setEnabled(boolean) - Method in class weka.gui.PropertyPanel
Passes on enabled/disabled status to the custom panel (if one is set).
setEnablePerspectiveTab(String, boolean) - Method in class weka.gui.PerspectiveManager
Enable/disable a perspective's button/tab
setEnablePerspectiveTabs(List<String>, boolean) - Method in class weka.gui.PerspectiveManager
Enable/disable the tab/button for each perspective in the supplied list of perspective IDs
setEnclosureCharacters(String) - Method in class weka.core.converters.CSVLoader
Set the character(s) to use/recognize as string enclosures
setEndTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Sets the value of the endTime property.
setEndTimeVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the endTimeVariable property.
setEntropicAutoBlend(boolean) - Method in class weka.classifiers.lazy.KStar
Set whether entropic blending is to be used.
setEnumClass(String) - Method in class weka.core.EnumHelper
Set the fully qualified enum class name
setEnumerateColNames(boolean) - Method in class weka.experiment.ResultMatrix
sets whether the column names are prefixed with "(x)" where "x" is the index.
setEnumerateRowNames(boolean) - Method in class weka.experiment.ResultMatrix
sets whether to the row names are prefixed with the index.
setEnvironment(Environment) - Method in class weka.classifiers.meta.Vote
Set environment variable values to substitute in the paths of serialized models to load
setEnvironment(Environment) - Method in class weka.classifiers.misc.InputMappedClassifier
Set the environment variables to use
setEnvironment(Environment) - Method in class weka.core.converters.AbstractFileLoader
Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.core.converters.AbstractFileSaver
Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.core.converters.DatabaseLoader
Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.core.converters.DatabaseSaver
Set the environment variables to use.
setEnvironment(Environment) - Method in interface weka.core.EnvironmentHandler
Set environment variables to use.
setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.AddUserFields
Set environment varialbes to use
setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
 
setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Set environment to use
setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
 
setEnvironment(Environment) - Method in class weka.gui.beans.Associator
Set environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.Classifier
Set environment variables to pass on to the classifier (if if is an EnvironmentHandler)
setEnvironment(Environment) - Method in class weka.gui.beans.ClassifierCustomizer
Set any environment variables to pass to the PropertySheetPanel
setEnvironment(Environment) - Method in class weka.gui.beans.DataVisualizer
 
setEnvironment(Environment) - Method in class weka.gui.beans.DataVisualizerCustomizer
Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
Set the environment variables to display in the drop down list.
setEnvironment(Environment) - Method in class weka.gui.beans.FlowByExpression
 
setEnvironment(Environment) - Method in class weka.gui.beans.FlowByExpressionCustomizer
 
setEnvironment(Environment) - Method in class weka.gui.beans.FlowRunner
Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.ImageSaver
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.ImageSaverCustomizer
Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.Join
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.JoinCustomizer
 
setEnvironment(Environment) - Method in class weka.gui.beans.KnowledgeFlowApp
Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.Loader
Set environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.LoaderCustomizer
 
setEnvironment(Environment) - Method in class weka.gui.beans.ModelPerformanceChart
 
setEnvironment(Environment) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.Saver
Set environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.SaverCustomizer
 
setEnvironment(Environment) - Method in class weka.gui.beans.SerializedModelSaver
Set environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
 
setEnvironment(Environment) - Method in class weka.gui.beans.Sorter
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SorterCustomizer
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabeler
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabelerCustomizer
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabelerRules
 
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacer
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacerCustomizer
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacerRules
 
setEnvironment(Environment) - Method in class weka.gui.beans.TextSaver
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.TextSaverCustomizer
Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.EnvironmentField
Set the environment variables to display in the drop down list.
setEnvironment(Environment) - Method in class weka.gui.filters.AddUserFieldsCustomizer
Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.knowledgeflow.StepEditorDialog
Set environment variables
setEnvironment(Environment) - Method in class weka.gui.knowledgeflow.VisibleLayout
Set the environment variables to use with this layout
setEnvironment(Environment) - Method in class weka.gui.PropertySheetPanel
Set environment variables to pass on to any editor that can use them
setEnvironment(Environment) - Method in class weka.knowledgeflow.FlowRunner
 
setEnvironmentVariables(Environment) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Set environment variables for this execution environment
setEnvironmentVariables(Environment) - Method in interface weka.knowledgeflow.ExecutionEnvironment
Set environment variables for this execution environment
setEpochs(int) - Method in class weka.classifiers.functions.SGD
Set the number of epochs to use
setEpochs(int) - Method in class weka.classifiers.functions.SGDText
Set the number of epochs to use
setEpsilon(double) - Method in class weka.classifiers.functions.SGD
Set the epsilon threshold on the error for epsilon insensitive and Huber loss functions
setEpsilon(double) - Method in class weka.classifiers.functions.SMO
Set the value of epsilon.
setEpsilon(double) - Method in class weka.classifiers.functions.supportVector.RegSMO
Set the value of epsilon.
setEpsilonParameter(double) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Set the value of epsilon parameter of the epsilon insensitive loss function.
setError(Exception) - Method in class weka.knowledgeflow.ExecutionResult
Set an exception, in the case that an error occurred during the processing done by a StepTask
setErrorOnProbabilities(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
Set the value of errorOnProbabilities.
setErrorOnProbabilities(boolean) - Method in class weka.classifiers.trees.LMT
Set the value of errorOnProbabilities.
setErrorPlotPointSizeProportionalToMargin(boolean) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Set whether the point size on classification error plots should be proportional to the prediction margin.
setErrorPlotPointSizeProportionalToMargin(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Set whether the size of plot data points will be proportional to the prediction margin
setEstimator(BayesNetEstimator) - Method in class weka.classifiers.bayes.BayesNet
Set the Estimator Algorithm used in calculating the CPTs
setEstimator(UnivariateDensityEstimator) - Method in class weka.classifiers.meta.RegressionByDiscretization
Set the estimator
setEstimator(Estimator) - Method in class weka.estimators.CheckEstimator
Set the estimator for boosting.
setEstimator(NaiveBayes) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Set the naive Bayes estimator to use
setEuclidean(Euclidean) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the euclidean property.
setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
Sets the distance function used to (or to be used to) build the tree.
setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Sets the distance function to use to build the tree.
setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Sets the EuclideanDistance object to use for splitting nodes.
setEvaluateWithRespectToCosts(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Set whether to evaluate with respoect to costs
setEvaluation(Evaluation) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
Sets the Evaluation object to use
setEvaluation(Evaluation) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Sets the Evaluation object to use.
setEvaluationMeasure(SelectedTag) - Method in class weka.attributeSelection.ClassifierAttributeEval
Sets the performance evaluation measure to use for selecting attributes for the decision table
setEvaluationMeasure(SelectedTag) - Method in class weka.attributeSelection.ClassifierSubsetEval
Sets the performance evaluation measure to use for selecting attributes for the decision table
setEvaluationMeasure(SelectedTag) - Method in class weka.attributeSelection.WrapperSubsetEval
Sets the performance evaluation measure to use for selecting attributes for the decision table
setEvaluationMeasure(SelectedTag) - Method in class weka.classifiers.rules.DecisionTable
Sets the performance evaluation measure to use for selecting attributes for the decision table
setEvaluationMetric(SelectedTag) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the evaluation metric to use
setEvaluationMetricsToOutput(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Set the evaluation metrics to output (as a comma-separated list).
setEvaluationMetricsToOutput(String) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
Set the evaluation metrics to output (as a comma-separated list).
setEvaluator(ASEvaluation) - Method in class weka.attributeSelection.AttributeSelection
set the attribute/subset evaluator
setEvaluator(ASEvaluation) - Method in class weka.attributeSelection.CheckAttributeSelection
Set the evaluator to test.
setEvaluator(ASEvaluation) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Sets the attribute evaluator
setEvaluator(ASEvaluation) - Method in class weka.filters.supervised.attribute.AttributeSelection
set attribute/subset evaluator
setEvaluator(ASEvaluation) - Method in class weka.knowledgeflow.steps.ASEvaluator
Set the evaluator to wrap (just calls setWrappedAlgorithm)
setEvalUsingTrainingData(boolean) - Method in class weka.attributeSelection.OneRAttributeEval
Use the training data to evaluate attributes rather than cross validation
setEvidence(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
set evidence state of a node.
setEvidence(int, int) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
 
setEvidence(int, int) - Method in class weka.classifiers.bayes.net.MarginCalculator
 
setExcludeNominalAttributes(boolean) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Set whether nominal attributes are to be excluded from the transformation
setExcludeNumericAttributes(boolean) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Set whether numeric attributes are being excluded from the transformation
setExecuting(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setExecuting(int, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setExecutionEnvironment(BaseExecutionEnvironment) - Method in interface weka.knowledgeflow.FlowExecutor
Set the execution environment to use
setExecutionEnvironment(BaseExecutionEnvironment) - Method in class weka.knowledgeflow.FlowRunner
Set the execution environment to use
setExecutionSlots(int) - Method in class weka.gui.beans.Classifier
Set the number of execution slots (threads) to use to train models with.
setExecutionSlots(int) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Set the number of executions slots to use.
setExecutionStatus(int) - Method in class weka.experiment.TaskStatusInfo
Set the execution status of this Task.
setExecutionThread(KnowledgeFlowApp.RunThread) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setExecutionThread(int, KnowledgeFlowApp.RunThread) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setExitIfNoWindowsOpen(boolean) - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Sets whether System.exit gets called when no more windows are open.
setExitOnClose(boolean) - Method in class weka.gui.arffviewer.ArffViewer
whether to do a System.exit(0) on close
setExitOnClose(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
whether to do a System.exit(0) on close
setExpectedResultsPerAverage(int) - Method in class weka.experiment.AveragingResultProducer
Set the value of ExpectedResultsPerAverage.
setExperiment(Experiment) - Method in class weka.experiment.RemoteExperimentSubTask
Set the experiment for this sub task
setExperiment(Experiment) - Method in class weka.gui.experiment.AbstractSetupPanel
Sets the experiment to configure.
setExperiment(Experiment) - Method in class weka.gui.experiment.AlgorithmListPanel
Tells the panel to act on a new experiment.
setExperiment(Experiment) - Method in class weka.gui.experiment.DatasetListPanel
Tells the panel to act on a new experiment.
setExperiment(Experiment) - Method in class weka.gui.experiment.DistributeExperimentPanel
Sets the experiment to be configured.
setExperiment(Experiment) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
Sets the experiment which will have the custom properties edited.
setExperiment(RemoteExperiment) - Method in class weka.gui.experiment.HostListPanel
Tells the panel to act on a new experiment.
setExperiment(Experiment) - Method in class weka.gui.experiment.ResultsPanel
Tells the panel to use a new experiment.
setExperiment(Experiment) - Method in class weka.gui.experiment.RunNumberPanel
Sets the experiment to be configured.
setExperiment(Experiment) - Method in class weka.gui.experiment.RunPanel
Sets the experiment the panel operates on.
setExperiment(Experiment) - Method in class weka.gui.experiment.SetupPanel
Sets the experiment to configure.
setExperiment(Experiment) - Method in class weka.gui.experiment.SimpleSetupPanel
Sets the experiment to configure.
setExplicitPropsFile(boolean) - Method in class weka.gui.GenericPropertiesCreator
if FALSE, the locating of a props-file of the Utils-class is used, otherwise it's tried to load the specified file
setExplorer(Explorer) - Method in class weka.gui.explorer.AssociationsPanel
Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in class weka.gui.explorer.AttributeSelectionPanel
Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in class weka.gui.explorer.ClassifierPanel
Sets the Explorer to use as parent frame (used for sending notifications about changes in the data).
setExplorer(Explorer) - Method in class weka.gui.explorer.ClustererPanel
Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in class weka.gui.explorer.PreprocessPanel
Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in class weka.gui.explorer.VisualizePanel
Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExponent(double) - Method in class weka.classifiers.functions.supportVector.PolyKernel
Sets the exponent value.
setExponent(double) - Method in class weka.classifiers.functions.VotedPerceptron
Set the value of exponent.
setExponent(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the exponent property.
setExponent(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
Sets the value of the exponent property.
setExpression(String) - Method in class weka.datagenerators.classifiers.regression.Expression
Sets the mathematical expression to generate y out of x.
setExpression(String) - Method in class weka.filters.unsupervised.attribute.AddExpression
Set the expression to apply
setExpression(String) - Method in class weka.filters.unsupervised.attribute.MathExpression
Set the expression to apply
setExpression(String) - Method in class weka.filters.unsupervised.attribute.RemoveByName
Sets the regular expression to match the attribute names against.
setExpression(String) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Sets the expression used for filtering.
setExpressionString(String) - Method in class weka.gui.beans.FlowByExpression
Set the expression (in internal format)
setExpressionString(String) - Method in class weka.knowledgeflow.steps.FlowByExpression
Set the expression (in internal format)
setExtender(String) - Method in class weka.core.pmml.jaxbbindings.Extension
Sets the value of the extender property.
setExtremeValuesAsOutliers(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Set whether extreme values are also tagged as outliers.
setExtremeValuesFactor(double) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Sets the factor for determining the thresholds for extreme values.
setFalse(False) - Method in class weka.core.pmml.jaxbbindings.Attribute
Sets the value of the false property.
setFalse(False) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Sets the value of the false property.
setFalse(False) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the false property.
setFalse(False) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the false property.
setFalseNegative(double) - Method in class weka.classifiers.evaluation.TwoClassStats
Sets the number of positive instances predicted as negative
setFalsePositive(double) - Method in class weka.classifiers.evaluation.TwoClassStats
Sets the number of negative instances predicted as positive
setFalseStepName(String) - Method in class weka.gui.beans.FlowByExpression
Set the name of the connected step to send "false" instances to
setFalseStepName(String) - Method in class weka.knowledgeflow.steps.FlowByExpression
Set the name of the connected step to send "false" instances to
setFastDistanceCalc(boolean) - Method in class weka.clusterers.SimpleKMeans
Sets whether to use faster distance calculation.
setFastRegression(boolean) - Method in class weka.classifiers.trees.LMT
Set the value of fastRegression.
setFeature(RESULTFEATURE) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the feature property.
setFeature(RESULTFEATURE) - Method in class weka.core.pmml.jaxbbindings.ResultField
Sets the value of the feature property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldRef
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldValue
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.InstanceField
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.KNNInput
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.Target
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.VerificationField
Sets the value of the field property.
setFieldCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Sets the value of the fieldCount property.
setFieldCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Sets the value of the fieldCount property.
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.DerivedFieldMetaInfo
Upadate the field definitions for this derived field
setFieldDefs(Instances) - Method in class weka.core.pmml.DerivedFieldMetaInfo
Upadate the field definitions for this derived field
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Discretize
Set the field definitions for this Expression to use
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Expression
Set the field definitions for this Expression to use
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.FieldRef
 
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.NormContinuous
Set the field definitions for this Expression to use
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.NormDiscrete
Set the field definitions for this Expression to use
setFieldName(String) - Method in class weka.core.pmml.jaxbbindings.BayesInput
Sets the value of the fieldName property.
setFieldName(String) - Method in class weka.core.pmml.jaxbbindings.BayesOutput
Sets the value of the fieldName property.
setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the fieldRef property.
setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the fieldRef property.
setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the fieldRef property.
setFieldSeparator(String) - Method in class weka.core.converters.CSVLoader
Sets the character used as column separator.
setFieldSeparator(String) - Method in class weka.core.converters.CSVSaver
Sets the character used as column separator.
setFieldWeight(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Sets the value of the fieldWeight property.
setFieldWeight(Double) - Method in class weka.core.pmml.jaxbbindings.KNNInput
Sets the value of the fieldWeight property.
setFile(File) - Method in class weka.core.converters.AbstractFileLoader
sets the source File
setFile(File) - Method in class weka.core.converters.AbstractFileSaver
Sets the destination file.
setFile(File) - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
setFile(File) - Method in class weka.core.converters.ArffLoader
sets the source File
setFile(File) - Method in class weka.core.converters.ArffSaver
Sets the destination file.
setFile(File) - Method in interface weka.core.converters.FileSourcedConverter
Set the file to load from/ to save in
setFile(File) - Method in class weka.core.converters.JSONSaver
Sets the destination file.
setFile(File) - Method in interface weka.core.converters.Saver
Sets the output file
setFile(File) - Method in class weka.core.converters.XRFFSaver
Sets the destination file.
setFile(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
Sets the value of the file property.
setFile(File) - Method in class weka.gui.visualize.JComponentWriter
sets the file to store the output in
setFile(File) - Method in class weka.knowledgeflow.steps.ImageSaver
Set the file to save to
setFile(File) - Method in class weka.knowledgeflow.steps.TextSaver
Set the file to save to
setFileFilter(FileFilter) - Method in class weka.gui.FileEnvironmentField
Set the file filter to be the selected one in the drop down box
setFileFormat(Tag) - Method in class weka.gui.beans.SerializedModelSaver
Set the file format to use for saving.
setFileMustExist(boolean) - Method in class weka.gui.ConverterFileChooser
Whether the selected file must exst (only open dialog).
setFilename(String) - Method in class weka.core.FindWithCapabilities
Sets the dataset filename to base the capabilities on.
setFilename(String) - Method in class weka.gui.arffviewer.ArffPanel
sets the filename
setFilename(int, String) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
sets the filename of the specified panel
setFilename(String) - Method in class weka.gui.beans.ImageSaver
Set the filename to save to
setFilename(String) - Method in class weka.gui.beans.TextSaver
Set the filename to save to
setFilenamePrefix(String) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Set the text to prepend to the filename
setFilePath(String) - Method in class weka.core.FileHelper
Set the file path
setFilePath(File) - Method in class weka.gui.knowledgeflow.VisibleLayout
Set the file path for the flow being edited by this layout
setFilePrefix(String) - Method in class weka.core.converters.AbstractFileSaver
Sets the file name prefix
setFilePrefix(String) - Method in class weka.core.converters.AbstractSaver
Default implementation throws an IOException.
setFilePrefix(String) - Method in interface weka.core.converters.Saver
Sets the file prefix.
setFillWithMissing(boolean) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Sets whether missing values should be used rather than removing instances where the translated value is not known (due to border effects).
setFilter(Filter) - Method in class weka.associations.FilteredAssociator
Sets the filter
setFilter(Filter) - Method in class weka.classifiers.meta.FilteredClassifier
Sets the filter
setFilter(Filter) - Method in class weka.clusterers.FilteredClusterer
Sets the filter.
setFilter(Filter) - Method in class weka.core.FilteredDistance
Sets the filter
setFilter(Filter) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Sets the filter
setFilter(Filter) - Method in class weka.filters.CheckSource
Sets the filter to use for the comparison.
setFilter(Filter) - Method in class weka.gui.beans.Filter
Set the filter to be wrapped by this bean
setFilter(Filter) - Method in class weka.knowledgeflow.steps.Filter
Set the filter.
setFilterAfterFirstBatch(boolean) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Set whether to apply the filter to instances that arrive once the first (training) batch has been seen.
setFilters(Filter[]) - Method in class weka.filters.MultiFilter
Sets the list of possible filters to choose from.
setFilters(Filter[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Sets the list of possible filters to choose from.
setFilterType(SelectedTag) - Method in class weka.classifiers.functions.GaussianProcesses
Sets how the training data will be transformed.
setFilterType(SelectedTag) - Method in class weka.classifiers.functions.SMO
Sets how the training data will be transformed.
setFilterType(SelectedTag) - Method in class weka.classifiers.functions.SMOreg
Sets how the training data will be transformed.
setFind(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Sets the regular expression that the attribute names must match.
setFindAllRulesForSupportLevel(boolean) - Method in class weka.associations.FPGrowth
If true then turn off the iterative support reduction method of finding x rules that meet the minimum support and metric thresholds and just return all the rules that meet the lower bound on minimum support and the minimum metric.
setFindNumBins(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
Set the value of FindNumBins.
setFindNumBins(boolean) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Set the value of FindNumBins.
setFirstValueIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Sets index of the first value used.
setFirstValueIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
Sets index of the first value used.
setFlow(Vector<Vector<?>>) - Method in class weka.gui.beans.KnowledgeFlowApp
Set the flow for the KnowledgeFlow to edit.
setFlow(Flow) - Method in class weka.gui.knowledgeflow.VisibleLayout
Set the flow to edit in this layout
setFlow(Flow) - Method in interface weka.knowledgeflow.FlowExecutor
Set the flow to be executed
setFlow(Flow) - Method in class weka.knowledgeflow.FlowRunner
Set the flow to execute
setFlowExecutor(FlowExecutor) - Method in class weka.gui.knowledgeflow.VisibleLayout
Set the FlowExcecutor to use for executing the flow
setFlowExecutor(FlowExecutor) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Set the executor that will actually be responsible for running the flow.
setFlowFile(File) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setFlowFile(int, File) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setFlowFile(File) - Method in class weka.knowledgeflow.steps.Job
 
setFlowLayoutOperation(VisibleLayout.LayoutOperation) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Set the current flow layout operation
setFlowName(String) - Method in class weka.knowledgeflow.Flow
Set the name of this Flow
setFlows(Vector<Object>) - Method in class weka.gui.beans.FlowRunner
Set the vector holding the flows(s) to run
setFocus() - Method in class weka.gui.sql.ConnectionPanel
sets the focus in a designated control.
setFocus() - Method in class weka.gui.sql.InfoPanel
sets the focus in a designated control
setFocus() - Method in class weka.gui.sql.QueryPanel
sets the focus in a designated control.
setFocus() - Method in class weka.gui.sql.ResultPanel
sets the focus in a designated control
setFold(int) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Selects a fold.
setFold(int) - Method in class weka.filters.unsupervised.instance.RemoveFolds
Selects a fold.
setFoldColumn(int) - Method in class weka.experiment.PairedTTester
Set the value of FoldColumn.
setFoldColumn(int) - Method in interface weka.experiment.Tester
Set the value of FoldColumn.
setFolds(int) - Method in class weka.attributeSelection.AttributeSelection
set the number of folds for cross validation
setFolds(int) - Method in class weka.attributeSelection.ClassifierAttributeEval
Set the number of folds to use for accuracy estimation
setFolds(int) - Method in class weka.attributeSelection.OneRAttributeEval
Set the number of folds to use for cross validation
setFolds(int) - Method in class weka.attributeSelection.WrapperSubsetEval
Set the number of folds to use for accuracy estimation
setFolds(int) - Method in class weka.classifiers.rules.JRip
Sets the number of folds to use
setFolds(int) - Method in class weka.gui.beans.CrossValidationFoldMaker
Set the number of folds for the cross validation
setFont(Font) - Method in class weka.gui.ResultHistoryPanel
Set the font to use in the list
setFont(Font) - Method in class weka.gui.visualize.PostscriptGraphics
Set current font.
setFontName(String) - Method in class weka.core.FontHelper
Set the font name
setFontName(String) - Method in class weka.gui.scripting.SyntaxDocument
sets the current font family (affects all built-in styles).
setFontSize(int) - Method in class weka.core.FontHelper
Set the font size
setFontSize(int) - Method in class weka.gui.scripting.SyntaxDocument
sets the current font size (affects all built-in styles).
setFontSizeAdjust(int) - Method in class weka.gui.beans.Note
set the font size adjustment
setFontSizeAdjust(int) - Method in class weka.gui.knowledgeflow.NoteVisual
set the font size adjustment
setFontStyle(int) - Method in class weka.core.FontHelper
Set the font style (see constants in Font class)
setForceResampleWithWeights(boolean) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Sets the size of each subSpace, as a percentage of the training set size.
setFormat(String) - Method in class weka.core.Debug.Timestamp
sets the format for the timestamp
setFormat(ImageSaver.ImageFormat) - Method in class weka.knowledgeflow.steps.ImageSaver
Set the format of the image to save
setFrom(String) - Method in class weka.core.pmml.jaxbbindings.Con1
Sets the value of the from property.
setFStatistic(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the fStatistic property.
setFStatistic(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the fStatistic property.
setFunction(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
Sets the value of the function property.
setFunction(String) - Method in class weka.core.pmml.jaxbbindings.Apply
Sets the value of the function property.
setFunction(SelectedTag) - Method in class weka.datagenerators.classifiers.classification.Agrawal
Sets the function for generating the data.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.MiningModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.Regression
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TextModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TreeModel
Sets the value of the functionName property.
setFValue(Double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Sets the value of the fValue property.
setGamma(double) - Method in class weka.classifiers.functions.supportVector.RBFKernel
Sets the gamma value.
setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
Sets the value of the gamma property.
setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
Sets the value of the gamma property.
setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
Sets the value of the gamma property.
setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Sets the value of the gamma property.
setGap(GAP) - Method in class weka.core.pmml.jaxbbindings.Delimiter
Sets the value of the gap property.
setGaussianDistribution(GaussianDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
Sets the value of the gaussianDistribution property.
setGaussianDistribution(GaussianDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
Sets the value of the gaussianDistribution property.
setGeneralRegressionModel(GeneralRegressionModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the generalRegressionModel property.
setGenerateRanking(boolean) - Method in class weka.attributeSelection.GreedyStepwise
Records whether the user has requested a ranked list of attributes.
setGenerateRanking(boolean) - Method in interface weka.attributeSelection.RankedOutputSearch
Sets whether or not ranking is to be performed.
setGenerateRanking(boolean) - Method in class weka.attributeSelection.Ranker
This is a dummy set method---Ranker is ONLY capable of producing a ranked list of attributes for attribute evaluators.
setGenerator(DataGenerator) - Method in class weka.gui.explorer.DataGeneratorPanel
sets the generator to use initially
setGeneratorSamplesBase(double) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set the base for computing the number of samples to obtain from each generator.
setGeneratorSamplesBase(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the base for computing the number of samples to obtain from each generator.
setGlobalBlend(int) - Method in class weka.classifiers.lazy.KStar
Set the global blend parameter
setGlobalModel(NBTreeNoSplit) - Method in class weka.classifiers.trees.j48.NBTreeSplit
Set the global naive bayes model for this node
setGlobalTermWeights(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
Sets the value of the globalTermWeights property.
setGracePeriod(double) - Method in class weka.classifiers.trees.HoeffdingTree
Set the number of instances (or total weight of instances) a leaf should observe between split attempts
setGraphicalEnvironment(Object) - Method in class weka.gui.knowledgeflow.AbstractGraphicalCommand
Set a reference to the graphical environment
setGraphicalEnvironment(Object) - Method in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
Set the graphical environment
setGraphicalEnvironment(Object) - Method in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
Set the graphical environment
setGraphicalEnvironmentCommandHandler(GraphicalEnvironmentCommandHandler) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Set the environment for performing commands at the application-level in a graphical environment.
setGraphicalEnvironmentCommandHandler(GraphicalEnvironmentCommandHandler) - Method in interface weka.knowledgeflow.ExecutionEnvironment
Set the environment for performing commands at the application-level in a graphical environment.
setGridWidth(int) - Method in class weka.gui.beans.AttributeSummarizer
Set the width of the grid of plots
setGroupField(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
Sets the value of the groupField property.
setGroupIdentifier(long) - Method in class weka.gui.beans.BatchClassifierEvent
 
setGUI(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
This will set whether A GUI is brought up to allow interaction by the user with the neural network during training.
setGUIType(SelectedTag) - Method in class weka.gui.Main
Sets the type of GUI to use.
setHandler(CapabilitiesHandler) - Method in class weka.core.FindWithCapabilities
sets the Capabilities handler to generate the data for.
setHandler(CapabilitiesHandler) - Method in class weka.core.TestInstances
sets the Capabilities handler to generate the data for
setHandleRightClicks(boolean) - Method in class weka.gui.ResultHistoryPanel
Set whether the result history list should handle right clicks or whether the parent object will handle them.
setHeader(Instances) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Sets the header of the dataset.
setHeader(Header) - Method in class weka.core.pmml.jaxbbindings.PMML
Sets the value of the header property.
setHeadless(boolean) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Set whether this execution environment is headless
setHeadless(boolean) - Method in interface weka.knowledgeflow.ExecutionEnvironment
Set whether this execution environment is headless
setHeuristicStop(int) - Method in class weka.classifiers.functions.SimpleLogistic
Set the value of heuristicStop.
setHeuristicStop(int) - Method in class weka.classifiers.trees.lmt.LogisticBase
Sets the option "heuristicStop".
setHidden(boolean) - Method in class weka.gui.beans.BeanConnection
Make this connection invisible on the display
setHiddenLayers(String) - Method in class weka.classifiers.functions.MultilayerPerceptron
This will set what the hidden layers are made up of when auto build is enabled.
setHighlight(String) - Method in class weka.gui.treevisualizer.TreeVisualizer
Set the highlight for the node with the given id
setHighlighted(boolean) - Method in class weka.gui.beans.Note
 
setHighlighted(boolean) - Method in class weka.gui.knowledgeflow.NoteVisual
Set whether the note should appear "highlighted" (i.e.
setHighValue(Double) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the highValue property.
setHistory(DefaultListModel) - Method in class weka.gui.sql.ConnectionPanel
sets the local history to the given one.
setHistory(DefaultListModel) - Method in class weka.gui.sql.QueryPanel
sets the local history to the given one.
setHoeffdingTieThreshold(double) - Method in class weka.classifiers.trees.HoeffdingTree
Set the threshold below which a split will be forced to break ties
setHoldOutFile(File) - Method in class weka.attributeSelection.ClassifierSubsetEval
Set the file that contains hold out/test instances
setID(String) - Method in class weka.core.Defaults
Set the ID for this set of defaults
setId(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Cluster
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Item
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Itemset
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.NeuralInput
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Neuron
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Node
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Sequence
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
Sets the value of the id property.
setID(int) - Method in class weka.core.Tag
Sets the numeric ID of the Tag.
setIDFTransform(boolean) - Method in class weka.core.DictionaryBuilder
Sets whether if the word frequencies in a document should be transformed into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
setIDFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets whether if the word frequencies in a document should be transformed into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
setIDFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets whether if the word frequencies in a document should be transformed into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
setIDIndex(String) - Method in class weka.filters.unsupervised.attribute.AddID
Sets index of the attribute used.
setIDStr(String) - Method in class weka.core.Tag
Sets the string ID of the Tag.
setIgnoreCase(boolean) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
 
setIgnoreCase(boolean) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Set whether to ignore case when matching
setIgnoreCase(boolean) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Set whether to ignore case when matching
setIgnoreCaseForNames(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
Set whether to ignore case when matching attribute names and nominal values.
setIgnoreClass(boolean) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
Set the IgnoreClass value.
setIgnoreClass(boolean) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Set the IgnoreClass value.
setIgnoredAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.AddCluster
Sets the ranges of attributes to be ignored.
setIgnoredAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Sets the ranges of attributes to be ignored.
setIgnoredProperties(String) - Method in class weka.core.CheckGOE
Sets the properties to ignore in checkToolTips().
setIgnoreRange(String) - Method in class weka.filters.unsupervised.attribute.MathExpression
Set which attributes are to be ignored
setImageHeight(int) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set the image height (in pixels)
setImageWidth(int) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set the image width (in pixels)
setImportance(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the importance property.
setImportance(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the importance property.
setIncludeClass(boolean) - Method in class weka.core.InstanceComparator
Sets whether the class should be included in the comparison.
setIncludeClass(boolean) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Sets whether the class can be cleaned, too.
setIncludeRelationName(boolean) - Method in class weka.gui.beans.SerializedModelSaver
Set whether the relation name of the training data used to create the model should be included as part of the filename for the serialized model.
setIncludeRelationNameInFilename(boolean) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Set whether to include the relation name as part of the filename
setIncrementalLoggingFrequency(String) - Method in class weka.knowledgeflow.steps.WriteWekaLog
Set how frequently to write an incremental data point to the log
setIncrementalSaveSchedule(int) - Method in class weka.gui.beans.SerializedModelSaver
Set how often to save incremental models.
setIncrementalSaveSchedule(int) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Set how frequently to save an incremental model
setIndentationSize(int) - Method in class weka.gui.scripting.SyntaxDocument
Sets the number of blanks to use for indentation.
setIndex(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeValue
Sets the value of the index property.
setIndex(int) - Method in class weka.core.pmml.MiningFieldMetaInfo
Set the index of this field in the mining schema Instances
setInfoData(Vector<Instances>) - Method in interface weka.gui.visualize.InstanceInfo
Sets the underlying data.
setInfoData(Vector<Instances>) - Method in class weka.gui.visualize.InstanceInfoFrame
Sets the underlying data.
setInfoText(String) - Method in interface weka.gui.visualize.InstanceInfo
Sets the text to display.
setInfoText(String) - Method in class weka.gui.visualize.InstanceInfoFrame
Sets the text to display.
setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
Sets whether to init as naive bayes
setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.global.K2
Sets whether to init as naive bayes
setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
Sets whether to init as naive bayes
setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.local.K2
Sets whether to init as naive bayes
setInitFile(File) - Method in class weka.filters.unsupervised.attribute.KernelFilter
Sets the file to initialize the filter with, can be null.
setInitFileClassIndex(String) - Method in class weka.filters.unsupervised.attribute.KernelFilter
Sets class index of the file to initialize the filter with.
setInitialAnchorRandom(boolean) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Sets whether if the initial anchor is chosen randomly.
setInitialCount(double) - Method in class weka.classifiers.trees.REPTree
Set the value of InitialCount.
setInitializationMethod(SelectedTag) - Method in class weka.clusterers.SimpleKMeans
Set the initialization method to use
setInitialScore(Double) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the initialScore property.
setInitialSplitPaneDividerLocation() - Method in class weka.gui.PackageManager
Setting the initial placement of the divider line on a JSplitPane is problematic.
setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.ChildParent
Sets the value of the inlineTable property.
setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.MapValues
Sets the value of the inlineTable property.
setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Sets the value of the inlineTable property.
setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Sets the value of the inlineTable property.
setInputFilename(String) - Method in class weka.gui.GenericPropertiesCreator
sets the file to get the information about the packages from.
setInputFormat(Instances) - Method in class weka.filters.AllFilter
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.Filter
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.RenameRelation
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.SimpleFilter
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.ClassOrder
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.Discretize
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.NominalToBinary
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.PartitionMembership
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.instance.Resample
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.instance.SpreadSubsample
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Add
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddCluster
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddExpression
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddID
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddNoise
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddUserFields
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddValues
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Center
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Copy
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Discretize
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.FirstOrder
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MathExpression
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NominalToString
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Normalize
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NumericTransform
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Obfuscate
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RandomProjection
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Remove
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RemoveType
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Reorder
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
 
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Standardize
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.StringToNominal
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.SwapValues
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.Randomize
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveFolds
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemovePercentage
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveRange
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.Resample
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.ReservoirSample
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
Sets the format of the input instances.
setInputOrder(SelectedTag) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the input order.
setInputs(Vector<Object>) - Method in class weka.gui.beans.MetaBean
 
setInstance(int) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
Sets the instance at index i of the supplied dataset to be the current instance
setInstance(Instance) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
Sets the current instance to be the supplied instance
setInstance(Instance) - Method in class weka.gui.beans.InstanceEvent
Set the instance
setInstanceFields(InstanceFields) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Sets the value of the instanceFields property.
setInstanceIdVariable(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the instanceIdVariable property.
setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
Sets the master index array containing indices of the training instances.
setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Sets the master index array that points to instances in m_Instances, so that only this array is manipulated, and m_Instances is left untouched.
setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Sets the master index array that points to instances in m_Instances, so that only this array is manipulated, and m_Instances is left untouched.
setInstanceList(int[]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Sets the master index array containing indices of the training instances.
setInstanceRange(int) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Sets the number of instances forward to translate values between.
setInstances(Instances) - Method in class weka.core.converters.AbstractSaver
Sets instances that should be stored.
setInstances(Instances) - Method in class weka.core.converters.JSONSaver
Sets instances that should be stored.
setInstances(Instances) - Method in class weka.core.converters.LibSVMSaver
Sets instances that should be stored.
setInstances(Instances) - Method in interface weka.core.converters.Saver
Sets the instances to be saved
setInstances(Instances) - Method in class weka.core.converters.SVMLightSaver
Sets instances that should be stored.
setInstances(Instances) - Method in class weka.core.converters.XRFFSaver
Sets instances that should be stored.
setInstances(Instances) - Method in interface weka.core.DistanceFunction
Sets the instances.
setInstances(Instances) - Method in class weka.core.FilteredDistance
Sets the instances.
setInstances(Instances) - Method in class weka.core.neighboursearch.BallTree
Builds the BallTree based on the given set of instances.
setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
Sets the training instances on which the tree is (or is to be) built.
setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Sets the instances on which the tree is to be built.
setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Sets the instances on which the tree is to be built.
setInstances(Instances) - Method in class weka.core.neighboursearch.CoverTree
Builds the Cover Tree on the given set of instances.
setInstances(Instances) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Sets the instances to build the filtering model from.
setInstances(Instances) - Method in class weka.core.neighboursearch.KDTree
Builds the KDTree on the given set of instances.
setInstances(Instances) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Sets the training instances on which the tree is (or is to be) built.
setInstances(Instances) - Method in class weka.core.neighboursearch.LinearNNSearch
Sets the instances comprising the current neighbourhood.
setInstances(Instances) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Sets the instances.
setInstances(Instances) - Method in class weka.core.NormalizableDistance
Sets the instances.
setInstances(Instances) - Method in class weka.core.xml.XMLInstances
builds up the XML structure based on the given data
setInstances(Instances) - Method in class weka.experiment.AveragingResultProducer
Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.CrossValidationResultProducer
Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.DatabaseResultProducer
Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.ExplicitTestsetResultProducer
Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.LearningRateResultProducer
Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.PairedTTester
Set the value of Instances.
setInstances(Instances) - Method in class weka.experiment.RandomSplitResultProducer
Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in interface weka.experiment.ResultProducer
Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in interface weka.experiment.Tester
Set the value of Instances.
setInstances(Instances) - Method in class weka.gui.AbstractPerspective
Set instances (if this perspective can use them)
setInstances(Instances) - Method in class weka.gui.arffviewer.ArffPanel
displays the given instances, i.e.
setInstances(Instances) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sets the data
setInstances(Instances) - Method in class weka.gui.arffviewer.ArffTableModel
sets the data
setInstances(Instances) - Method in class weka.gui.AttributeListPanel
Sets the instances who's attribute names will be displayed.
setInstances(Instances) - Method in class weka.gui.AttributeSelectionPanel
Sets the instances who's attribute names will be displayed.
setInstances(Instances) - Method in class weka.gui.AttributeSummaryPanel
Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.AttributeVisualizationPanel
Sets the instances for use
setInstances(Instances) - Method in class weka.gui.beans.AttributeSummarizer
Set instances for this bean.
setInstances(Instances) - Method in class weka.gui.beans.DataVisualizer
Set instances for this bean.
setInstances(Instances) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
Set instances (if the perspective accepts them)
setInstances(Instances) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setInstances(Instances) - Method in class weka.gui.beans.ScatterPlotMatrix
Set instances for this bean.
setInstances(Instances) - Method in class weka.gui.beans.SQLViewerPerspective
Set instances (if the perspective accepts them)
setInstances(Instances) - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Set the training instances
setInstances(Instances) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the training data
setInstances(Instances) - Method in class weka.gui.experiment.ResultsPanel
Sets up the panel with a new set of instances, attempting to guess the correct settings for various columns.
setInstances(Instances) - Method in class weka.gui.explorer.AbstractPlotInstances
Sets the instances that are the basis for the plot instances.
setInstances(Instances) - Method in class weka.gui.explorer.AssociationsPanel
Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.AttributeSelectionPanel
Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.ClassifierPanel
Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.ClustererPanel
Tells the panel to use a new set of instances.
setInstances(Instances) - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.PreprocessPanel
Tells the panel to use a new base set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.VisualizePanel
 
setInstances(Instances) - Method in class weka.gui.InstancesSummaryPanel
Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
Set the instances to visualize
setInstances(Instances, Settings) - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
Set the instances to visualize
setInstances(Instances) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Set instances (if this perspective can use them)
setInstances(Instances) - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
Set the instances to use
setInstances(Instances) - Method in interface weka.gui.Perspective
Set instances (if this perspective can use them)
setInstances(Instances) - Method in class weka.gui.SetInstancesPanel
Updates the set of instances that is currently held by the panel.
setInstances(Instances, boolean) - Method in class weka.gui.SetInstancesPanel
Updates the set of instances that is currently held by the panel.
setInstances(Instances) - Method in class weka.gui.SimpleCLIPanel
 
setInstances(Instances) - Method in class weka.gui.ViewerDialog
sets the instances to display
setInstances(Instances) - Method in class weka.gui.visualize.AttributePanel
This sets the instances to be drawn into the attribute panel
setInstances(Instances) - Method in class weka.gui.visualize.ClassPanel
Set the instances.
setInstances(Instances) - Method in class weka.gui.visualize.MatrixPanel
This method changes the Instances object of this class to a new one.
setInstances(Instances) - Method in class weka.gui.visualize.Plot2D
Sets the master plot from a set of instances
setInstances(Instances) - Method in class weka.gui.visualize.VisualizePanel
Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
Set the data to output from this step
setInstancesFromDB(InstanceQuery) - Method in class weka.gui.explorer.PreprocessPanel
Loads instances from a database
setInstancesFromDBQ(String, String, String, String) - Method in class weka.gui.explorer.PreprocessPanel
Loads (non-sparse) instances from an SQL query the user provided with the SqlViewerDialog, then loads the instances in a background process.
setInstancesFromDBQ(String, String, String, String, boolean) - Method in class weka.gui.explorer.PreprocessPanel
Loads instances from an SQL query the user provided with the SqlViewerDialog, then loads the instances in a background process.
setInstancesFromFile(AbstractFileLoader) - Method in class weka.gui.explorer.PreprocessPanel
Loads results from a set of instances retrieved with the supplied loader.
setInstancesFromFileQ() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Queries the user for a file to load instances from, then loads the instances in a background process.
setInstancesFromFileQ() - Method in class weka.gui.explorer.PreprocessPanel
Queries the user for a file to load instances from, then loads the instances in a background process.
setInstancesFromFileQ() - Method in class weka.gui.SetInstancesPanel
Queries the user for a file to load instances from, then loads the instances in a background process.
setInstancesFromURL(URL) - Method in class weka.gui.explorer.PreprocessPanel
Loads instances from a URL.
setInstancesFromURLQ() - Method in class weka.gui.explorer.PreprocessPanel
Queries the user for a URL to load instances from, then loads the instances in a background process.
setInstancesFromURLQ() - Method in class weka.gui.SetInstancesPanel
Queries the user for a URL to load instances from, then loads the instances in a background process.
setInstancesIndices(String) - Method in class weka.filters.unsupervised.instance.RemoveRange
Sets the ranges of instances to be selected.
SetInstancesPanel - Class in weka.gui
A panel that displays an instance summary for a set of instances and lets the user open a set of instances from either a file or URL.
SetInstancesPanel() - Constructor for class weka.gui.SetInstancesPanel
Default constructor.
SetInstancesPanel(boolean, boolean, ConverterFileChooser) - Constructor for class weka.gui.SetInstancesPanel
Create the panel.
setInstanceWeight() - Method in class weka.gui.arffviewer.ArffPanel
Allows setting the weight of the instance at the selected row.
setInstanceWeight(int, double) - Method in class weka.gui.arffviewer.ArffSortedTableModel
Sets the weight of the selected instance
setInstanceWeight(int, double) - Method in class weka.gui.arffviewer.ArffTableModel
 
setInstanceWeight(int, double, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
 
setInterAnchorDistances(Vector<MiddleOutConstructor.TempNode>, MiddleOutConstructor.TempNode, Vector<double[]>) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Sets the distances of a supplied new anchor to all the rest of the previous anchor points.
setIntercept(double) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
Sets the value of the intercept property.
setInternalCacheSize(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
sets the size of the internal cache for intermediate results.
setInterpolationMethod(INTERPOLATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Sets the value of the interpolationMethod property.
setInterQuartileRange(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Sets the value of the interQuartileRange property.
setInterval(Interval) - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
Sets the value of the interval property.
setInvalidFreq(Double) - Method in class weka.core.pmml.jaxbbindings.Counts
Sets the value of the invalidFreq property.
setInvalidValueTreatment(INVALIDVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.Apply
Sets the value of the invalidValueTreatment property.
setInvalidValueTreatment(INVALIDVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the invalidValueTreatment property.
setInvert(boolean) - Method in class weka.core.InstanceComparator
Sets whether to invert the matching sense of the attribute range.
setInvert(boolean) - Method in class weka.core.Range
Sets whether the range sense is inverted, i.e.
setInvert(boolean) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Set whether selection is inverted.
setInvertSelection(boolean) - Method in class weka.core.converters.DictionarySaver
Sets whether selected columns should be processed or skipped.
setInvertSelection(boolean) - Method in class weka.core.DictionaryBuilder
Sets whether selected columns should be processed or skipped.
setInvertSelection(boolean) - Method in interface weka.core.DistanceFunction
Sets whether the matching sense of attribute indices is inverted or not.
setInvertSelection(boolean) - Method in class weka.core.FilteredDistance
Sets whether the matching sense of attribute indices is inverted or not.
setInvertSelection(boolean) - Method in class weka.core.NormalizableDistance
Sets whether the matching sense of attribute indices is inverted or not.
setInvertSelection(boolean) - Method in class weka.filters.supervised.attribute.Discretize
Sets whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.supervised.attribute.MergeNominalValues
Set whether selected attributes should be acted on or all other attributes.
setInvertSelection(boolean) - Method in class weka.filters.supervised.instance.Resample
Sets whether the selection is inverted (only if instances are drawn WIHTOUT replacement).
setInvertSelection(boolean) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Sets if selection is to be inverted.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Copy
Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Sets whether selected columns should be worked on or all the others apart from these.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
Sets whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets whether selected columns should be processed or skipped.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.MathExpression
Set whether selected columns should be select or unselect.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Set whether selected attributes should be acted on or all other attributes.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Sets whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Sets whether the selection of the indices is inverted or not
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Sets whether selected columns should be worked on or all the others apart from these.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericToDate
Sets whether selected columns should be worked on or all the others apart from these.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Sets whether selected columns should be worked on or all the others apart from these.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericTransform
Set whether selected columns should be transformed or not.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RandomSubset
Set whether to invert the selection - i.e.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Remove
Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RemoveByName
Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RemoveType
Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Sets whether to invert the selection of the attributes.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Sets whether selected columns should be worked on or all the others apart from these.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.SortLabels
Sets whether selected columns should be processed or skipped.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets whether selected columns should be processed or skipped.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFolds
Sets if selection is to be inverted.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Set whether selected values should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemovePercentage
Sets if selection is to be inverted.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveRange
Sets if selection is to be inverted.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Set whether selected values should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.Resample
Sets whether the selection is inverted (only if instances are drawn WIHTOUT replacement).
setIRClassValue(String) - Method in class weka.attributeSelection.ClassifierAttributeEval
Set the class value (label or index) to use with IR metric evaluation of subsets.
setIRClassValue(String) - Method in class weka.attributeSelection.ClassifierSubsetEval
Set the class value (label or index) to use with IR metric evaluation of subsets.
setIRClassValue(String) - Method in class weka.attributeSelection.WrapperSubsetEval
Set the class value (label or index) to use with IR metric evaluation of subsets.
setIsCenterField(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Sets the value of the isCenterField property.
setIsCyclic(String) - Method in class weka.core.pmml.jaxbbindings.DataField
Sets the value of the isCyclic property.
setIsIntercept(Boolean) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the isIntercept property.
setIsMultiValued(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the isMultiValued property.
setIsOr(boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Set whether this node is to be OR'ed to the result so far
setIsRecursive(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
Sets the value of the isRecursive property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.MiningModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TextModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TreeModel
Sets the value of the isScorable property.
setIsTransformed(Boolean) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Sets the value of the isTransformed property.
setItem(int[]) - Method in class weka.associations.ItemSet
Sets an item sets
setItemAt(int, int) - Method in class weka.associations.ItemSet
Sets the index of an attribute value
setItemRef(String) - Method in class weka.core.pmml.jaxbbindings.ItemRef
Sets the value of the itemRef property.
setIterativeClassifier(IterativeClassifier) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the base learner.
setJaccard(Jaccard) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the jaccard property.
setJitter(int) - Method in class weka.gui.visualize.Plot2D
Set level of jitter and repaint the plot using the new jitter value
setKeepDictionarySorted(boolean) - Method in class weka.core.converters.DictionarySaver
Set whether to keep the dictionary sorted alphabetically or not
setKernel(Kernel) - Method in class weka.classifiers.functions.GaussianProcesses
Sets the kernel to use.
setKernel(Kernel) - Method in class weka.classifiers.functions.SMO.BinarySMO
sets the kernel to use
setKernel(Kernel) - Method in class weka.classifiers.functions.SMO
sets the kernel to use
setKernel(Kernel) - Method in class weka.classifiers.functions.SMOreg
sets the kernel to use
setKernel(Kernel) - Method in class weka.classifiers.functions.supportVector.CheckKernel
Set the lernel to test.
setKernel(Kernel) - Method in class weka.filters.unsupervised.attribute.KernelFilter
Sets the kernel to use.
setKernelBandwidth(int) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
Set the kernel bandwidth (number of nearest neighbours to cover)
setKernelBandwidth(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set the kernel bandwidth
setKernelFactorExpression(String) - Method in class weka.filters.unsupervised.attribute.KernelFilter
Sets the expression for the kernel.
setKernelMatrixFile(File) - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Sets the file holding the kernel matrix
setKey(String) - Method in class weka.core.Settings.SettingKey
set the key of this setting
setKeyFieldName(String) - Method in class weka.experiment.AveragingResultProducer
Set the value of KeyFieldName.
setKeys(String) - Method in class weka.core.converters.DatabaseLoader
Sets the key columns of a database table
setKeySpec(String) - Method in class weka.gui.beans.Join
Set the key specification (in internal format - k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
setKeySpec(String) - Method in class weka.knowledgeflow.steps.Join
Set the key specification (in internal format - k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
setKeywords(String) - Method in class weka.experiment.DatabaseUtils
Sets the keywords (comma-separated list) to use.
setKeywordsMaskChar(String) - Method in class weka.experiment.DatabaseUtils
Sets the mask character to append to table or attribute names that are a reserved keyword.
setKind(String) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the kind property.
setKind(String) - Method in class weka.core.pmml.jaxbbindings.Matrix
Sets the value of the kind property.
setKNN(int) - Method in class weka.classifiers.lazy.IBk
Set the number of neighbours the learner is to use.
setKNN(int) - Method in class weka.classifiers.lazy.LWL
Sets the number of neighbours used for kernel bandwidth setting.
setKohonenMap(KohonenMap) - Method in class weka.core.pmml.jaxbbindings.Cluster
Sets the value of the kohonenMap property.
setKValue(int) - Method in class weka.classifiers.trees.RandomTree
Set the value of K.
setLabel(String) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
Sets the value of the label property.
setLabel(String) - Method in class weka.core.pmml.jaxbbindings.Parameter
Sets the value of the label property.
setLabel(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Sets label of the merged class.
setLabel(String) - Method in class weka.gui.beans.BatchClassifierEvent
Set the label for this event.
setLabel(String) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
Set the label for this widget.
setLabel(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Set the label to assign if this rule matches, or empty string if binary flag attribute is being created.
setLabel(String) - Method in class weka.gui.EnvironmentField
Set the label for this widget.
setLabel(String) - Method in class weka.gui.PasswordField
Set the label for this widget.
setLabels(String) - Method in class weka.filters.unsupervised.attribute.AddValues
Sets the comma-separated list of labels.
setLambda(double) - Method in class weka.classifiers.functions.SGD
Set the value of lambda to use
setLambda(double) - Method in class weka.classifiers.functions.SGDText
Set the value of lambda to use
setLambda(double) - Method in class weka.classifiers.functions.supportVector.StringKernel
Sets the lambda constant used in the string kernel
setLaunchStartPointsSequentially(boolean) - Method in class weka.knowledgeflow.FlowRunner
Set whether to launch start points sequentially
setLeafPredictionStrategy(SelectedTag) - Method in class weka.classifiers.trees.HoeffdingTree
Set the leaf prediction strategy to use (majority class, naive Bayes or naive Bayes adaptive)
setLearningRate(double) - Method in class weka.classifiers.functions.MultilayerPerceptron
The learning rate can be set using this command.
setLearningRate(double) - Method in class weka.classifiers.functions.SGD
Set the learning rate.
setLearningRate(double) - Method in class weka.classifiers.functions.SGDText
Set the learning rate.
setLeaveOneAttributeOut(boolean) - Method in class weka.attributeSelection.ClassifierAttributeEval
Set whether to evaluate the merit of an attribute based on the impact of leaving it out from the full set instead of considering its worth in isolation
setLeftMargin(Double) - Method in class weka.core.pmml.jaxbbindings.Interval
Sets the value of the leftMargin property.
setLegend(List<String>, double, double) - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
Set the entries for the legend
setLegend(List<String>, double, double) - Method in interface weka.knowledgeflow.steps.StripChart.PlotNotificationListener
 
setLegendText(Vector<String>) - Method in class weka.gui.beans.ChartEvent
Set the legend text vector
setLength(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextDocument
Sets the value of the length property.
setLength(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
Sets the value of the length property.
setLengthLimit(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the lengthLimit property.
setLevel(Level) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Sets the value of the level property.
setLeverage(Float) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Sets the value of the leverage property.
setLHSAttName(String) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Set the lhs attribute name
setLift(Float) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Sets the value of the lift property.
setLift(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Sets the value of the lift property.
setLiftData(LiftData) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the liftData property.
setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
Sets the value of the liftGraph property.
setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
Sets the value of the liftGraph property.
setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
Sets the value of the liftGraph property.
setLikelihoodThreshold(double) - Method in class weka.classifiers.meta.LogitBoost
Set the value of Precision.
setLinkFunction(LINKFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the linkFunction property.
setLinkParameter(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the linkParameter property.
setLinkType(SelectedTag) - Method in class weka.clusterers.HierarchicalClusterer
 
setListData(Object[]) - Method in class weka.gui.CheckBoxList
Constructs a CheckBoxListModel from an array of objects and then applies setModel to it.
setListData(Vector) - Method in class weka.gui.CheckBoxList
Constructs a CheckBoxListModel from a Vector and then applies setModel to it.
setLNorm(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Set the L-norm to used
setLNorm(double) - Method in class weka.classifiers.functions.SGDText
Set the L-norm to used
setLoadClassifierFileName(String) - Method in class weka.gui.beans.Classifier
Set the name of the classifier to load at execution time.
setLoadClassifierFileName(File) - Method in class weka.knowledgeflow.steps.Classifier
Set the name of the classifier to load at execution time.
setLoadClustererFileName(File) - Method in class weka.knowledgeflow.steps.Clusterer
Set the name of the clusterer to load at execution time.
setLoaded(boolean) - Method in class weka.gui.AbstractPerspective
Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in class weka.gui.beans.AttributeSummarizer
Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setLoaded(boolean) - Method in class weka.gui.beans.ScatterPlotMatrix
Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in class weka.gui.beans.SQLViewerPerspective
Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in interface weka.gui.Perspective
Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in class weka.gui.SimpleCLIPanel
 
setLoader(Loader) - Method in class weka.gui.beans.Loader
Set the loader to use
setLoader(Loader) - Method in class weka.knowledgeflow.steps.Loader
Convenience method - calls setWrappedAlgorithm()
setLocallyPredictive(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
Include locally predictive attributes
setLocalTermWeights(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
Sets the value of the localTermWeights property.
setLocalTransformations(LocalTransformations) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the localTransformations property.
setLocalTransformations(LocalTransformations) - Method in class weka.core.pmml.jaxbbindings.Regression
Sets the value of the localTransformations property.
setLocationProbs(int, double[]) - Method in class weka.gui.boundaryvisualizer.RemoteResult
Store the classifier's distribution for a particular pixel in the visualization
setLog(Logger) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Set a logger to use.
setLog(Debug.Log) - Method in class weka.core.Debug.Random
the log to use, if it is null then stdout is used
setLog(Logger) - Method in interface weka.core.LogHandler
Set the log to use
setLog(Logger) - Method in interface weka.core.pmml.PMMLModel
Set a logger to use.
setLog(Logger) - Method in class weka.gui.AbstractPerspective
Set a log to use (if required by the perspective)
setLog(Logger) - Method in class weka.gui.beans.AbstractDataSink
Set a log for this bean
setLog(Logger) - Method in class weka.gui.beans.AbstractEvaluator
Set a logger
setLog(Logger) - Method in class weka.gui.beans.AbstractTestSetProducer
Set a logger
setLog(Logger) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Set a log for this bean
setLog(Logger) - Method in class weka.gui.beans.AbstractTrainingSetProducer
Set a logger
setLog(Logger) - Method in class weka.gui.beans.Appender
Set a logger
setLog(Logger) - Method in class weka.gui.beans.Associator
Set a logger
setLog(Logger) - Method in interface weka.gui.beans.BeanCommon
Set a logger
setLog(Logger) - Method in class weka.gui.beans.ClassAssigner
 
setLog(Logger) - Method in class weka.gui.beans.Classifier
Set a logger
setLog(Logger) - Method in class weka.gui.beans.ClassValuePicker
 
setLog(Logger) - Method in class weka.gui.beans.Clusterer
Set a logger
setLog(Logger) - Method in class weka.gui.beans.CostBenefitAnalysis
Set a logger
setLog(Logger) - Method in class weka.gui.beans.DataVisualizer
Set a logger
setLog(Logger) - Method in class weka.gui.beans.Filter
Set a logger
setLog(Logger) - Method in class weka.gui.beans.FlowByExpression
 
setLog(Logger) - Method in class weka.gui.beans.FlowRunner
 
setLog(Logger) - Method in class weka.gui.beans.ImageSaver
 
setLog(Logger) - Method in class weka.gui.beans.ImageViewer
 
setLog(Logger) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Set a logger
setLog(Logger) - Method in class weka.gui.beans.Join
Set a log to use
setLog(Logger) - Method in class weka.gui.beans.Loader
Set a logger
setLog(Logger) - Method in interface weka.gui.beans.LogWriter
Set a logger
setLog(Logger) - Method in class weka.gui.beans.MetaBean
Set a logger
setLog(Logger) - Method in class weka.gui.beans.ModelPerformanceChart
Set a logger
setLog(Logger) - Method in class weka.gui.beans.PredictionAppender
Set a logger
setLog(Logger) - Method in class weka.gui.beans.SerializedModelSaver
Set a log for this bean.
setLog(Logger) - Method in class weka.gui.beans.Sorter
Set a logger
setLog(Logger) - Method in class weka.gui.beans.StripChart
Set a logger
setLog(Logger) - Method in class weka.gui.beans.SubstringLabeler
Set a logger
setLog(Logger) - Method in class weka.gui.beans.SubstringReplacer
Set a logger
setLog(Logger) - Method in class weka.gui.beans.TextSaver
 
setLog(Logger) - Method in class weka.gui.beans.TextViewer
Set a logger
setLog(Logger) - Method in class weka.gui.explorer.AssociationsPanel
Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.explorer.AttributeSelectionPanel
Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.explorer.ClassifierPanel
Sets the Logger to receive informational messages.
setLog(Logger) - Method in class weka.gui.explorer.ClustererPanel
Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.explorer.DataGeneratorPanel
Sets the Logger to receive informational messages
setLog(Logger) - Method in interface weka.gui.explorer.Explorer.LogHandler
Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.explorer.PreprocessPanel
Sets the Logger to receive informational messages
setLog(Logger) - Method in interface weka.gui.Perspective
Set a log to use (if required by the perspective)
setLog(Logger) - Method in class weka.gui.SimpleCLIPanel
 
setLog(Logger) - Method in class weka.gui.visualize.VisualizePanel
Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Set the log to use
setLog(Logger) - Method in interface weka.knowledgeflow.ExecutionEnvironment
Set the log to use
setLog(Logger) - Method in interface weka.knowledgeflow.FlowLoader
Set a log to use
setLog(Logger) - Method in class weka.knowledgeflow.JSONFlowLoader
Set a log to use
setLog(Logger) - Method in class weka.knowledgeflow.LegacyFlowLoader
Set the log to use
setLog(Logger) - Method in class weka.knowledgeflow.LogManager
Set the log wrap
setLog(Logger) - Method in class weka.knowledgeflow.StepManagerImpl
Set the log to use
setLogger(Logger) - Method in interface weka.knowledgeflow.FlowExecutor
Set a log to use
setLogger(Logger) - Method in class weka.knowledgeflow.FlowRunner
Set the log to use
setLoggingFontSize(int) - Method in class weka.gui.beans.LogPanel
Set the size of the font used in the log message area.
setLoggingFontSize(int) - Method in class weka.gui.LogPanel
Set the size of the font used in the log message area.
setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Set the logging level to use
setLoggingLevel(LoggingLevel) - Method in interface weka.knowledgeflow.ExecutionEnvironment
Set the logging level to use
setLoggingLevel(LoggingLevel) - Method in interface weka.knowledgeflow.FlowExecutor
Set the level to log at
setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.FlowRunner
Set the logging level to use
setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.LogManager
Set the logging level to use
setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.StepManagerImpl
Set the logging level to use
setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.steps.WriteWekaLog
Set the logging level to use
setLogLossDecoding(boolean) - Method in class weka.classifiers.meta.MultiClassClassifier
Sets whether log loss decoding is used for random or exhaustive codes.
setLookAheadIterations(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the value of LookAheadIterations.
setLookAndFeel(String) - Static method in class weka.gui.LookAndFeel
sets the look and feel to the specified class
setLookAndFeel(String, String, String) - Static method in class weka.gui.LookAndFeel
Set the look and feel from loaded settings
setLookAndFeel() - Static method in class weka.gui.LookAndFeel
sets the look and feel to the one in the props-file or if not set the default one of the system
setLookupCacheSize(int) - Method in class weka.attributeSelection.BestFirst
Set the maximum size of the evaluated subset cache (hashtable).
setLossFunction(SelectedTag) - Method in class weka.classifiers.functions.SGD
Set the loss function to use.
setLossFunction(SelectedTag) - Method in class weka.classifiers.functions.SGDText
Set the loss function to use.
setLower(double) - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
Sets the value of the lower property.
setLowerBoundMinSupport(double) - Method in class weka.associations.Apriori
Set the value of lowerBoundMinSupport.
setLowerBoundMinSupport(double) - Method in class weka.associations.FPGrowth
Set the value of lowerBoundMinSupport.
setLowercaseTokens(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Set whether to convert all tokens to lowercase
setLowercaseTokens(boolean) - Method in class weka.classifiers.functions.SGDText
Set whether to convert all tokens to lowercase
setLowerCaseTokens(boolean) - Method in class weka.core.converters.DictionarySaver
Sets whether if the tokens are to be downcased or not.
setLowerCaseTokens(boolean) - Method in class weka.core.DictionaryBuilder
Sets whether if the tokens are to be downcased or not.
setLowerCaseTokens(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets whether if the tokens are to be downcased or not.
setLowerCaseTokens(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets whether if the tokens are to be downcased or not.
setLowerSize(int) - Method in class weka.experiment.LearningRateResultProducer
Set the value of LowerSize.
setLowValue(Double) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the lowValue property.
setMacros(MacroDeclarations) - Method in class weka.core.expressionlanguage.parser.Parser
Sets the macro declarations for the program
setMainApplication(GUIApplication) - Method in class weka.gui.AbstractPerspective
Set the main application.
setMainApplication(GUIApplication) - Method in class weka.gui.knowledgeflow.SQLViewerPerspective
Set the main application.
setMainApplication(GUIApplication) - Method in interface weka.gui.Perspective
Set the main application.
setMainApplication(GUIApplication) - Method in class weka.gui.SimpleCLIPanel
 
setMainApplicationForAllPerspectives() - Method in class weka.gui.PerspectiveManager
Set the main application on all perspectives managed by this manager
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.AttributeSummarizer
Set a reference to the main KnowledgeFlow perspective - i.e.
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
Set a reference to the main KnowledgeFlow perspective - i.e.
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.ScatterPlotMatrix
Set a reference to the main KnowledgeFlow perspective - i.e.
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.SQLViewerPerspective
Set a reference to the main KnowledgeFlow perspective - i.e.
setMainKFPerspective(MainKFPerspective) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Set the main knowledge flow perspective.
setMainKFPerspective(MainKFPerspective) - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
Set the main knowledge flow perspective.
setMakeBinary(boolean) - Method in class weka.filters.supervised.attribute.Discretize
Sets whether binary attributes should be made for discretized ones.
setMakeBinary(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
Sets whether binary attributes should be made for discretized ones.
setMakeResourceIntensive(boolean) - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
Set whether downstream steps are to be made resource intensive or not
setManagedStep(Step) - Method in class weka.knowledgeflow.StepManagerImpl
Set the step managed by this manager
setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.Apply
Sets the value of the mapMissingTo property.
setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
Sets the value of the mapMissingTo property.
setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.FieldRef
Sets the value of the mapMissingTo property.
setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
Sets the value of the mapMissingTo property.
setMapMissingTo(Double) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
Sets the value of the mapMissingTo property.
setMapMissingTo(Double) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Sets the value of the mapMissingTo property.
setMappedValue(String) - Method in class weka.core.pmml.jaxbbindings.Item
Sets the value of the mappedValue property.
setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the mapValues property.
setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the mapValues property.
setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the mapValues property.
setMargin(int, double[]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
set marginal distibution for a node
setMarkovBlanketClassifier(boolean) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
 
setMarkovBlanketClassifier(boolean) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
 
setMasterPlot(PlotData2D) - Method in class weka.gui.visualize.Plot2D
Set the master plot.
setMasterPlot(PlotData2D) - Method in class weka.gui.visualize.VisualizePanel
Set the master plot for the visualize panel
setMatch(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Set the string/regex to use for matching
setMatch(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Set the string/regex to use for matching
setMatchAttributeName(String) - Method in class weka.gui.beans.SubstringLabeler
 
setMatchAttributeName(String) - Method in class weka.knowledgeflow.steps.SubstringLabeler
Set the name of the new attribute that is created to indicate the match
setMatchDetails(String) - Method in class weka.gui.beans.SubstringLabeler
Set internally encoded list of match rules
setMatchDetails(String) - Method in class weka.knowledgeflow.steps.SubstringLabeler
Set internally encoded list of match rules
setMatchMissingValues(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Sets whether missing values are counted as a match.
setMatchReplaceDetails(String) - Method in class weka.gui.beans.SubstringReplacer
Set internally encoded list of match-replace rules
setMatchReplaceDetails(String) - Method in class weka.knowledgeflow.steps.SubstringReplacer
Set internally encoded list of match-replace rules
setMatrix(int, int, int, int, Matrix) - Method in class weka.core.matrix.Matrix
Set a submatrix.
setMatrix(int[], int[], Matrix) - Method in class weka.core.matrix.Matrix
Set a submatrix.
setMatrix(int[], int, int, Matrix) - Method in class weka.core.matrix.Matrix
Set a submatrix.
setMatrix(int, int, int[], Matrix) - Method in class weka.core.matrix.Matrix
Set a submatrix.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Comparisons
Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Covariances
Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Predictor
Sets the value of the matrix property.
setMax(Double) - Method in class weka.core.pmml.jaxbbindings.Target
Sets the value of the max property.
setMax(Double) - Method in class weka.core.pmml.jaxbbindings.Time
Sets the value of the max property.
setMax(double) - Method in class weka.gui.beans.ChartEvent
Set the max y value
setMaxBoostingIterations(int) - Method in class weka.classifiers.functions.SimpleLogistic
Set the value of maxBoostingIterations.
setMaxCardinality(int) - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
sets the cardinality
setMaxCount(double) - Method in class weka.filters.supervised.instance.SpreadSubsample
Sets the value for the max count
setMaxDecimalPlaces(int) - Method in class weka.core.converters.ArffSaver
Set the maximum number of decimal places to print
setMaxDecimalPlaces(int) - Method in class weka.core.converters.CSVSaver
Set the maximum number of decimal places to print
setMaxDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Set the naximum default.
setMaxDepth(int) - Method in class weka.classifiers.trees.RandomForest
Set the maximum depth of the tree, 0 for unlimited.
setMaxDepth(int) - Method in class weka.classifiers.trees.RandomTree
Set the maximum depth of the tree, 0 for unlimited.
setMaxDepth(int) - Method in class weka.classifiers.trees.REPTree
Set the value of MaxDepth.
setMaximum(Double) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the maximum property.
setMaximum(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Sets the value of the maximum property.
setMaximumAntConsSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the maximumAntConsSeparationTime property.
setMaximumAttributeNames(int) - Method in class weka.attributeSelection.PrincipalComponents
Sets maximum number of attributes to include in transformed attribute names.
setMaximumAttributeNames(int) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Sets maximum number of attributes to include in transformed attribute names.
setMaximumAttributes(int) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Sets maximum number of PC attributes to retain.
setMaximumItemsetSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the maximumItemsetSeparationTime property.
setMaximumNumberOfAntecedentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the maximumNumberOfAntecedentItems property.
setMaximumNumberOfClusters(int) - Method in class weka.clusterers.EM
Set the maximum number of clusters to consider when cross-validating
setMaximumNumberOfConsequentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the maximumNumberOfConsequentItems property.
setMaximumNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the maximumNumberOfItems property.
setMaximumTotalSequenceTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the maximumTotalSequenceTime property.
setMaximumVariancePercentageAllowed(double) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Sets the maximum variance attributes are allowed to have before they are deleted by the filter.
setMaxInstancesInLeaf(int) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Sets the maximum number of instances allowed in a leaf.
setMaxInstancesInLeaf(int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Sets the maximum number of instances allowed in a leaf.
setMaxInstInLeaf(int) - Method in class weka.core.neighboursearch.KDTree
Sets the maximum number of instances in a leaf.
setMaxInstNum(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the upper boundary for instances per cluster.
setMaxInstNum(int) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Sets the upper boundary for instances per cluster.
setMaxIteration(int) - Method in class weka.core.Optimization
Set the maximal number of iterations in searching (Default 200)
setMaxIterations(int) - Method in class weka.classifiers.trees.lmt.LogisticBase
Sets the parameter "maxIterations".
setMaxIterations(int) - Method in class weka.clusterers.EM
Set the maximum number of iterations to perform
setMaxIterations(int) - Method in class weka.clusterers.SimpleKMeans
set the maximum number of iterations to be executed.
setMaxIterations(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Sets the maximum number of cleansing iterations to perform - < 1 means go until fully cleansed
setMaxIts(int) - Method in class weka.classifiers.functions.Logistic
Set the value of MaxIts.
setMaxK(int) - Method in class weka.classifiers.functions.VotedPerceptron
Set the value of maxK.
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
Sets the max number of parents
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.global.K2
Sets the max number of parents
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
Sets the max number of parents
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.K2
Sets the max number of parents
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Sets the max number of parents
setMaxNumberOfItems(int) - Method in class weka.associations.FPGrowth
Set the maximum number of items to include in large items sets.
setMaxNumberOfItemsPerTA(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the maxNumberOfItemsPerTA property.
setMaxNumberOfItemsPerTransaction(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the maxNumberOfItemsPerTransaction property.
setMaxNumberOfTAsPerTAGroup(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the maxNumberOfTAsPerTAGroup property.
setMaxNumCandidateCanopiesToHoldInMemory(int) - Method in class weka.clusterers.Canopy
Set the maximum number of candidate canopies to retain in memory during training.
setMaxNumComponents(int) - Method in class weka.estimators.UnivariateMixtureEstimator
Sets the number of components to use.
setMaxPlots(int) - Method in class weka.gui.beans.AttributeSummarizer
Set the maximum number of plots to display
setMaxRadius(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the upper boundary for the radiuses of the clusters.
setMaxRange(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Sets the upper boundary for the range of x
setMaxRelativeLeafRadius(double) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Sets the maximum relative radius, allowed for a leaf node.
setMaxRows(int) - Method in class weka.gui.sql.QueryPanel
sets the maximum number of rows to display.
setMaxRuleSize(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
Sets the maximum number of tests in rules.
setMaxSubsequenceLength(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
Sets the maximum length of the subsequence.
setMaxThreshold(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Set the maximum threshold.
setMaxTime(Double) - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
Sets the value of the maxTime property.
setMaxTime(double) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
Sets the value of the maxTime property.
setMDLTheoryWeight(double) - Method in class weka.classifiers.rules.RuleStats
Set the weight of theory in MDL calcualtion
setMean(double) - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
Sets the value of the mean property.
setMean(double) - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
Sets the value of the mean property.
setMean(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Sets the value of the mean property.
setMean(double) - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
Sets the value of the mean property.
setMean(Double) - Method in class weka.core.pmml.jaxbbindings.Time
Sets the value of the mean property.
setMean(int, int, double) - Method in class weka.experiment.ResultMatrix
sets the mean at the given position (if the position is valid).
setMeanAbsoluteError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the meanAbsoluteError property.
setMeanError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the meanError property.
setMeanOfSquares(Double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Sets the value of the meanOfSquares property.
setMeanPrec(int) - Method in class weka.experiment.ResultMatrix
sets the precision for the means.
setMeanSquared(boolean) - Method in class weka.classifiers.lazy.IBk
Sets whether the mean squared error is used rather than mean absolute error when doing cross-validation.
setMeanSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the meanSquaredError property.
setMeanWidth(int) - Method in class weka.experiment.ResultMatrix
sets the width for the mean (0 = optimal).
setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.BallTree
Sets whether to calculate the performance statistics or not.
setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.KDTree
Sets whether to calculate the performance statistics or not.
setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Sets whether to calculate the performance statistics or not.
setMedian(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Sets the value of the median property.
setMergeValueRange(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Sets range of the merge values used.
setMetaClassifier(Classifier) - Method in class weka.classifiers.meta.Stacking
Adds meta classifier
setMetadata(Map<String, String>) - Method in class weka.core.Settings.SettingKey
Set the metadata for this setting
setMetadataElement(String, String) - Method in class weka.core.Settings.SettingKey
Set the value of a piece of metadata for this setting
setMethod(NeuralMethod) - Method in class weka.classifiers.functions.neural.NeuralNode
Set how this node should operate (note that the neural method has no internal state, so the same object can be used by any number of nodes.
setMethod(SelectedTag) - Method in class weka.classifiers.meta.MultiClassClassifier
Sets the method used.
setMethod(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Sets the value of the method property.
setMethodName(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
Set the transformation method.
setMetricsToDisplay(List<String>) - Method in class weka.classifiers.evaluation.Evaluation
Set a list of the names of metrics to have appear in the output.
setMetricsToDisplay(List<String>) - Method in class weka.classifiers.Evaluation
Set a list of the names of metrics to have appear in the output.
setMetricType(SelectedTag) - Method in class weka.associations.Apriori
Set the metric type for ranking rules
setMetricType(SelectedTag) - Method in class weka.associations.FPGrowth
Set the metric type to use.
setMin(Double) - Method in class weka.core.pmml.jaxbbindings.Target
Sets the value of the min property.
setMin(Double) - Method in class weka.core.pmml.jaxbbindings.Time
Sets the value of the min property.
setMin(double) - Method in class weka.gui.beans.ChartEvent
Set the min y value
setMinAbsoluteCoefficientValue(double) - Method in class weka.classifiers.functions.SGDText
Set the minimum absolute magnitude for model coefficients.
setMinBoxRelWidth(double) - Method in class weka.core.neighboursearch.KDTree
Sets the minimum relative box width.
setMinBucketSize(int) - Method in class weka.classifiers.rules.OneR
Set the value of minBucketSize.
setMinDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Set the minimum default.
setMinimal(boolean) - Method in class weka.classifiers.functions.LinearRegression
Sets whether to be more memory conservative or being able to output the model as string.
setMinimizeAbsoluteError(boolean) - Method in class weka.classifiers.meta.AdditiveRegression
Sets whether absolute error is to be minimized.
setMinimizeAbsoluteError(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
Sets whether to min.
setMinimizeExpectedCost(boolean) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Set the value of MinimizeExpectedCost.
setMinimum(Double) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the minimum property.
setMinimum(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Sets the value of the minimum property.
setMinimumAntConsSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumAntConsSeparationTime property.
setMinimumBucketSize(int) - Method in class weka.attributeSelection.OneRAttributeEval
Set the minumum bucket size used by OneR
setMinimumCanopyDensity(double) - Method in class weka.clusterers.Canopy
Set the minimum T2-based density below which a canopy will be pruned during periodic pruning.
setMinimumConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the minimumConfidence property.
setMinimumConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumConfidence property.
setMinimumFractionOfWeightInfoGain(double) - Method in class weka.classifiers.trees.HoeffdingTree
Set the minimum fraction of weight required down at least two branches for info gain splitting
setMinimumFrequency(int) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Sets the minimum frequency.
setMinimumItemsetSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumItemsetSeparationTime property.
setMinimumLift(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumLift property.
setMinimumNumberInstances(int) - Method in class weka.core.Capabilities
sets the minimum number of instances that have to be in the dataset
setMinimumNumberOfAntecedentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumNumberOfAntecedentItems property.
setMinimumNumberOfConsequentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumNumberOfConsequentItems property.
setMinimumNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumNumberOfItems property.
setMinimumSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the minimumSupport property.
setMinimumSupport(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumSupport property.
setMinimumTotalSequenceTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
Sets the value of the minimumTotalSequenceTime property.
setMiningBuildTask(MiningBuildTask) - Method in class weka.core.pmml.jaxbbindings.PMML
Sets the value of the miningBuildTask property.
setMiningModel(MiningModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the miningModel property.
setMinInstNum(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the lower boundary for instances per cluster.
setMinInstNum(int) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Sets the lower boundary for instances per cluster.
setMinkowski(Minkowski) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the minkowski property.
setMinLogLikelihoodImprovementCV(double) - Method in class weka.clusterers.EM
Set the minimum improvement in cross-validated log likelihood required to consider increasing the number of clusters when cross-validating to find the best number of clusters
setMinLogLikelihoodImprovementIterating(double) - Method in class weka.clusterers.EM
Set the minimum improvement in log likelihood necessary to perform another iteration of the E and M steps.
setMinMaxX(double, double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the minimum and maximum values of the x axis fixed dimension
setMinMaxY(double, double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the minimum and maximum values of the y axis fixed dimension
setMinMetric(double) - Method in class weka.associations.Apriori
Set the value of minConfidence.
setMinMetric(double) - Method in class weka.associations.FPGrowth
Set the value of minConfidence.
setMinNo(double) - Method in class weka.classifiers.rules.JRip
Sets the minimum total weight of the instances in a rule
setMinNum(double) - Method in class weka.classifiers.trees.RandomTree
Set the value of MinNum.
setMinNum(double) - Method in class weka.classifiers.trees.REPTree
Set the value of MinNum.
setMinNumInstances(int) - Method in class weka.classifiers.trees.LMT
Set the value of minNumInstances.
setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.M5Base
Set the minimum number of instances to allow at a leaf node
setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.Rule
Set the minumum number of instances to allow at a leaf node
setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.RuleNode
Set the minumum number of instances to allow at a leaf node
setMinNumObj(int) - Method in class weka.classifiers.rules.PART
Set the value of minNumObj.
setMinNumObj(int) - Method in class weka.classifiers.trees.J48
Set the value of minNumObj.
setMinRadius(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the lower boundary for the radiuses of the clusters.
setMinRange(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Sets the lower boundary for the range of x
setMinRuleSize(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
Sets the minimum number of tests in rules.
setMinStdDev(double) - Method in class weka.clusterers.EM
Set the minimum value for standard deviation when calculating normal density.
setMinStdDev(double) - Method in class weka.clusterers.MakeDensityBasedClusterer
Set the minimum value for standard deviation when calculating normal density.
setMinStdDevPerAtt(double[]) - Method in class weka.clusterers.EM
 
setMinTermFreq(int) - Method in class weka.core.converters.DictionarySaver
Set the MinTermFreq value.
setMinTermFreq(int) - Method in class weka.core.DictionaryBuilder
Set the MinTermFreq value.
setMinTermFreq(int) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Set the MinTermFreq value.
setMinThreshold(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Set the minimum threshold.
setMinVarianceProp(double) - Method in class weka.classifiers.trees.RandomTree
Set the value of MinVarianceProp.
setMinVarianceProp(double) - Method in class weka.classifiers.trees.REPTree
Set the value of MinVarianceProp.
setMinWordFrequency(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Set the minimum word frequency.
setMinWordFrequency(double) - Method in class weka.classifiers.functions.SGDText
Set the minimum word frequency.
setMissing(int) - Method in class weka.core.AbstractInstance
Sets a specific value to be "missing".
setMissing(Attribute) - Method in class weka.core.AbstractInstance
Sets a specific value to be "missing".
setMissing(int) - Method in interface weka.core.Instance
Sets a specific value to be "missing".
setMissing(Attribute) - Method in interface weka.core.Instance
Sets a specific value to be "missing".
setMissingFreq(Double) - Method in class weka.core.pmml.jaxbbindings.Counts
Sets the value of the missingFreq property.
setMissingMerge(boolean) - Method in class weka.attributeSelection.GainRatioAttributeEval
distribute the counts for missing values across observed values
setMissingMerge(boolean) - Method in class weka.attributeSelection.InfoGainAttributeEval
distribute the counts for missing values across observed values
setMissingMerge(boolean) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
distribute the counts for missing values across observed values
setMissingMode(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
Set the missing value mode.
setMissingMode(SelectedTag) - Method in class weka.classifiers.lazy.KStar
Sets the method to use for handling missing values.
setMissingSeparate(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
Treat missing as a separate value
setMissingValue(String) - Method in class weka.core.converters.CSVLoader
Sets the placeholder for missing values.
setMissingValue(String) - Method in class weka.core.converters.CSVSaver
Sets the placeholder for missing values.
setMissingValuePenalty(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the missingValuePenalty property.
setMissingValuePenalty(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.TreeModel
Sets the value of the missingValuePenalty property.
setMissingValueReplacement(String) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the missingValueReplacement property.
setMissingValuesReplacer(Filter) - Method in class weka.clusterers.Canopy
Set a ready-to-use missing values replacement filter
setMissingValueStrategy(MISSINGVALUESTRATEGY) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the missingValueStrategy property.
setMissingValueStrategy(MISSINGVALUESTRATEGY) - Method in class weka.core.pmml.jaxbbindings.TreeModel
Sets the value of the missingValueStrategy property.
setMissingValueTreatment(MISSINGVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the missingValueTreatment property.
setModalValue(String) - Method in class weka.core.pmml.jaxbbindings.DiscrStats
Sets the value of the modalValue property.
setModel(Classifier) - Method in class weka.classifiers.misc.SerializedClassifier
Sets the fully built model to use, if one doesn't want to load a model from a file or already deserialized a model from somewhere else.
setModel(TableModel) - Method in class weka.gui.arffviewer.ArffTable
sets the new model
setModel(ListModel) - Method in class weka.gui.CheckBoxList
sets the model - must be an instance of CheckBoxListModel
setModel(TableModel) - Method in class weka.gui.SortedTableModel
sets the model to use
setModelClass(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Sets the value of the modelClass property.
setModelDF(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the modelDF property.
setModelFile(File) - Method in class weka.classifiers.misc.SerializedClassifier
Sets the file containing the serialized model.
setModelHeader(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
Set the structure of the data used to create the model.
setModelLiftGraph(ModelLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
Sets the value of the modelLiftGraph property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.MiningModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.Regression
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TextModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
Sets the value of the modelName property.
setModelPath(String) - Method in class weka.classifiers.misc.InputMappedClassifier
Set the path from which to load a model.
setModelStats(ModelStats) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the modelStats property.
setModelStats(ModelStats) - Method in class weka.core.pmml.jaxbbindings.Regression
Sets the value of the modelStats property.
setModelType(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the modelType property.
setModelType(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Sets the value of the modelType property.
setModePanel(SetupModePanel) - Method in class weka.gui.experiment.AbstractSetupPanel
Sets the panel used to switch between simple and advanced modes.
setModePanel(SetupModePanel) - Method in class weka.gui.experiment.SetupPanel
Sets the panel used to switch between simple and advanced modes.
setModePanel(SetupModePanel) - Method in class weka.gui.experiment.SimpleSetupPanel
Sets the panel used to switch between simple and advanced modes.
setModificationText(String) - Method in class weka.filters.RenameRelation
Set the modification text to apply
setModificationText(String) - Method in class weka.knowledgeflow.steps.AlterRelationName
Set the modification text to apply
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.AssociatorCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
Set a listener interested in whether we've modified the ImageSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in interface weka.gui.beans.BeanCustomizer
Set a listener to be notified about the modified status of this object
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassAssignerCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassifierCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassValuePickerCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClustererCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.DataVisualizerCustomizer
Set a listener interested in whether we've modified the ImageSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.FilterCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.FlowByExpressionCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ImageSaverCustomizer
Set a listener interested in whether we've modified the ImageSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.JoinCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.LoaderCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
Set a listener interested in whether we've modified the ImageSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.NoteCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SaverCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
 
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SorterCustomizer
The modify listener interested in any chages we might make
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SubstringLabelerCustomizer
Set a listener interested in knowing if the object being edited has changed.
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SubstringReplacerCustomizer
Set a listener interested in knowing if the object being edited has changed.
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.TextSaverCustomizer
Set a listener interested in whether we've modified the TextSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.filters.AddUserFieldsCustomizer
Set an object that is interested in knowing when we make a change to the object that we're editing
setModifiedStatus(Object, boolean) - Method in interface weka.gui.beans.BeanCustomizer.ModifyListener
Tell the listener about the modified status of the source object.
setModifiedStatus(Object, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp
Tells us about the modified status of a particular object - typically a customizer that is editing a flow component.
setModifyHeader(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Sets whether the header will be modified when selecting on nominal attributes.
setModifyHeader(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Sets whether the header will be modified when selecting on nominal attributes.
setModType(RenameRelation.ModType) - Method in class weka.filters.RenameRelation
Set the modification type to apply
setModType(AlterRelationName.ModType) - Method in class weka.knowledgeflow.steps.AlterRelationName
Set the modification type to apply
setMomentum(double) - Method in class weka.classifiers.functions.MultilayerPerceptron
The momentum can be set using this command.
setMultiInstance(boolean) - Method in class weka.core.TestInstances
sets whether multi-instance data should be generated (with a fixed data structure)
setMultiLineComment(boolean) - Method in class weka.gui.scripting.SyntaxDocument
Sets whether to enable multi-line comments.
setMultiLineCommentEnd(String) - Method in class weka.gui.scripting.SyntaxDocument
Sets the string that is the end of a multi-line comment.
setMultiLineCommentStart(String) - Method in class weka.gui.scripting.SyntaxDocument
Sets the string that is the start of a multi-line comment.
setMultipleModelMethod(MULTIPLEMODELMETHOD) - Method in class weka.core.pmml.jaxbbindings.Segmentation
Sets the value of the multipleModelMethod property.
setMustRunSingleThreaded(boolean) - Method in class weka.knowledgeflow.StepTask
Set whether this StepTask must run single threaded - i.e.
setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ArrayType
Sets the value of the n property.
setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
Sets the value of the n property.
setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
Sets the value of the n property.
setNaiveBayesModel(NaiveBayesModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the naiveBayesModel property.
setNaiveBayesPredictionThreshold(double) - Method in class weka.classifiers.trees.HoeffdingTree
Set the number of instances (weight) a leaf should observe before allowing naive Bayes to make predictions
setName(String) - Method in class weka.core.pmml.jaxbbindings.Application
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Characteristic
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Cluster
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.DataField
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Extension
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Parameter
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.ParameterField
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Partition
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Predictor
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Taxonomy
Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
Sets the value of the name property.
setName(String) - Method in class weka.filters.unsupervised.attribute.AddExpression
Set the name for the new attribute.
setName(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Set the name of the new attribute
setName(String) - Method in class weka.gui.visualize.VisualizePanel
Set a name for this plot
setName(String) - Method in class weka.knowledgeflow.steps.BaseStep
Set the name of this step
setName(String) - Method in interface weka.knowledgeflow.steps.Step
Set the name for this step
setNbCols(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Matrix
Sets the value of the nbCols property.
setNbCorrect(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
Sets the value of the nbCorrect property.
setNbCorrect(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the nbCorrect property.
setNbRows(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Matrix
Sets the value of the nbRows property.
setNearestNeighborModel(NearestNeighborModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the nearestNeighborModel property.
setNearestNeighbourSearchAlgorithm(NearestNeighbourSearch) - Method in class weka.classifiers.lazy.IBk
Sets the nearestNeighbourSearch algorithm to be used for finding nearest neighbour(s).
setNearestNeighbourSearchAlgorithm(NearestNeighbourSearch) - Method in class weka.classifiers.lazy.LWL
Sets the nearestNeighbourSearch algorithm to be used for finding nearest neighbour(s).
setNegated(boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Set whether this node is negated
setNegativeTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
Sets the value of the negativeTargetFieldDisplayValue property.
setNegativeTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
Sets the value of the negativeTargetFieldValue property.
setNeuralNetwork(NeuralNetwork) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the neuralNetwork property.
setNewAttributeName(String) - Method in class weka.gui.beans.SubstringLabelerRules
Set the name to use for the new attribute that is added
setNGramMaxSize(int) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Sets the max size of the Ngram.
setNGramMaxSize(int) - Method in class weka.core.tokenizers.NGramTokenizer
Sets the max size of the Ngram.
setNGramMinSize(int) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Sets the min size of the Ngram.
setNGramMinSize(int) - Method in class weka.core.tokenizers.NGramTokenizer
Sets the min size of the Ngram.
setNoClass(boolean) - Method in class weka.core.TestInstances
whether to have no class, e.g., for clusterers; otherwise the class attribute index is set to last
setNode(Node) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the node property.
setNodeName(int, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
change the name of a node
setNodesEdges(ArrayList<GraphNode>, ArrayList<GraphEdge>) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
Sets the nodes and edges for this LayoutEngine.
setNodesEdges(ArrayList<GraphNode>, ArrayList<GraphEdge>) - Method in interface weka.gui.graphvisualizer.LayoutEngine
This method sets the nodes and edges vectors of the LayoutEngine
setNodeSize(int, int) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
Sets the size of a node.
setNodeSize(int, int) - Method in interface weka.gui.graphvisualizer.LayoutEngine
This method sets the allowed size of the node
setNodeSplitter(KDTreeNodeSplitter) - Method in class weka.core.neighboursearch.KDTree
Sets the splitting method to use to split the nodes of the KDTree.
setNodeWidthNormalization(boolean) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Sets whether if a nodes region is normalized or not.
setNoHeaderRow(boolean) - Method in class weka.core.converters.CSVSaver
Set whether to not write the header row
setNoHeaderRowPresent(boolean) - Method in class weka.core.converters.CSVLoader
Set whether there is no header row in the data.
setNoise(double) - Method in class weka.classifiers.functions.GaussianProcesses
Set the level of Gaussian Noise.
setNoisePercent(double) - Method in class weka.datagenerators.classifiers.classification.LED24
Sets the noise percentage.
setNoiseRate(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Sets the gaussian noise rate.
setNoiseVariance(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Sets the noise variance
setNominalAttributes(String) - Method in class weka.core.converters.CSVLoader
Sets the attribute range to be forced to type nominal.
setNominalBinary(boolean) - Method in class weka.gui.beans.SubstringLabeler
Set whether the new attribute created should be a nominal binary attribute rather than a numeric binary attribute.
setNominalBinary(boolean) - Method in class weka.gui.beans.SubstringLabelerRules
Set whether to create a nominal binary attribute in the case when the user has not supplied an explicit label to use for each rule.
setNominalBinary(boolean) - Method in class weka.knowledgeflow.steps.SubstringLabeler
Set whether the new attribute created should be a nominal binary attribute rather than a numeric binary attribute.
setNominalCols(Range) - Method in class weka.datagenerators.clusterers.SubspaceCluster
Sets which attributes are nominal.
setNominalConversionThreshold(int) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
Set the minimum number of values a nominal attribute must have in order to be transformed.
setNominalIndices(String) - Method in class weka.datagenerators.clusterers.SubspaceCluster
Sets which attributes are nominal
setNominalIndices(String) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Set which nominal labels are to be included in the selection.
setNominalIndicesArr(int[]) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Set which values of a nominal attribute are to be used for selection.
setNominalLabels(String) - Method in class weka.filters.unsupervised.attribute.Add
Set the labels for nominal attribute creation.
setNominalLabelSpecs(Object[]) - Method in class weka.core.converters.CSVLoader
Set label specifications for nominal attributes.
setNominalStringReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Set the nominal/string replacement value
setNominalToBinaryFilter(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
 
setNonEmpty(String) - Method in class weka.core.TestOptions
 
setNoPruning(boolean) - Method in class weka.classifiers.trees.REPTree
Set the value of NoPruning.
setNoReplacement(boolean) - Method in class weka.filters.supervised.instance.Resample
Sets whether instances are drawn with or with out replacement.
setNoReplacement(boolean) - Method in class weka.filters.unsupervised.instance.Resample
Sets whether instances are drawn with or with out replacement.
setNorm(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Set the norm of the instances
setNorm(double) - Method in class weka.classifiers.functions.SGDText
Set the norm of the instances
setNorm(double) - Method in class weka.core.pmml.jaxbbindings.LinearNorm
Sets the value of the norm property.
setNormalizationMethod(NNNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Sets the value of the normalizationMethod property.
setNormalizationMethod(NNNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the normalizationMethod property.
setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.Regression
Sets the value of the normalizationMethod property.
setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Sets the value of the normalizationMethod property.
setNormalizationScheme(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Sets the value of the normalizationScheme property.
setNormalize(boolean) - Method in class weka.core.DictionaryBuilder
Set whether word frequencies for a document should be normalized
setNormalizeAttributes(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
 
setNormalizedCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.Baseline
Sets the value of the normalizedCountTable property.
setNormalizeDimWidths(boolean) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Should we normalize the widths(ranges) of the dimensions (attributes) before selecting the widest one.
setNormalizeDocLength(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Set whether to normalize the length of each document
setNormalizeDocLength(boolean) - Method in class weka.classifiers.functions.SGDText
Set whether to normalize the length of each document
setNormalizeDocLength(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets whether if the word frequencies for a document (instance) should be normalized or not.
setNormalizeDocLength(SelectedTag) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets whether if the word frequencies for a document (instance) should be normalized or not.
setNormalizeNodeWidth(boolean) - Method in class weka.core.neighboursearch.KDTree
Sets the flag for normalizing the widths of a KDTree Node by the width of the dimension in the universe.
setNormalizeNumericClass(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
 
setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the normContinuous property.
setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the normContinuous property.
setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the normContinuous property.
setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the normDiscrete property.
setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the normDiscrete property.
setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the normDiscrete property.
setNoSizeDetermination(boolean) - Method in class weka.experiment.ClassifierSplitEvaluator
Sets whether the size determination (train/test/classifer) is skipped.
setNoSizeDetermination(boolean) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Sets whether the size determination (train/test/clusterer) is skipped.
setNoSizeDetermination(boolean) - Method in class weka.experiment.RegressionSplitEvaluator
Sets whether the size determination (train/test/classifer) is skipped.
setNotCapabilities(Capabilities) - Method in class weka.core.FindWithCapabilities
Uses the given "not to have" Capabilities for the search.
setNotes(String) - Method in class weka.experiment.Experiment
Set the user notes.
setNotes(String) - Method in class weka.experiment.RemoteExperiment
Set the user notes.
setNoteText(String) - Method in class weka.gui.beans.Note
Set the text to display
setNoteText(String) - Method in class weka.knowledgeflow.steps.Note
Set the text of the note
setNotificationEnabled(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sets whether the notification of changes is enabled
setNotificationEnabled(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
sets whether the notification of changes is enabled
setNoTrueChildStrategy(NOTRUECHILDSTRATEGY) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the noTrueChildStrategy property.
setNoTrueChildStrategy(NOTRUECHILDSTRATEGY) - Method in class weka.core.pmml.jaxbbindings.TreeModel
Sets the value of the noTrueChildStrategy property.
setNrOfGoodOperations(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Sets the number of "good operations"
setNrOfLookAheadSteps(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Sets the number of look-ahead steps
setNumAllConds(double) - Method in class weka.classifiers.rules.RuleStats
Set the number of all conditions that could appear in a rule in this RuleStats object, if the number set is smaller than 0 (typically -1), then it calcualtes based on the data store
setNumArcs(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
Sets the number of arcs for the bayesian net
setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
Sets the number of attributes the dataset should have.
setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Sets the number of attributes the dataset should have.
setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
Sets the number of attributes the dataset should have.
setNumAttributes(int) - Method in class weka.datagenerators.ClusterGenerator
Sets the number of attributes the dataset should have.
setNumAttributes(double) - Method in class weka.filters.unsupervised.attribute.RandomSubset
Set the number of attributes.
setNumberOfAttributes(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SupportVectors
Sets the value of the numberOfAttributes property.
setNumberOfAttributes(int) - Method in class weka.filters.unsupervised.attribute.RandomProjection
Sets the number of attributes (dimensions) the data should be reduced to
setNumberOfClusters(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
Sets the value of the numberOfClusters property.
setNumberOfCoefficients(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Coefficients
Sets the value of the numberOfCoefficients property.
setNumberOfDocuments(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextModel
Sets the value of the numberOfDocuments property.
setNumberOfFields(BigInteger) - Method in class weka.core.pmml.jaxbbindings.DataDictionary
Sets the value of the numberOfFields property.
setNumberOfFields(BigInteger) - Method in class weka.core.pmml.jaxbbindings.VectorFields
Sets the value of the numberOfFields property.
setNumberOfInputs(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
Sets the value of the numberOfInputs property.
setNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the numberOfItems property.
setNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Itemset
Sets the value of the numberOfItems property.
setNumberOfItemsets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the numberOfItemsets property.
setNumberOfLayers(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the numberOfLayers property.
setNumberOfNeighbors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the numberOfNeighbors property.
setNumberOfNeurons(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Sets the value of the numberOfNeurons property.
setNumberOfOutputs(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
Sets the value of the numberOfOutputs property.
setNumberOfRules(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the numberOfRules property.
setNumberOfSets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Sequence
Sets the value of the numberOfSets property.
setNumberOfSets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Sets the value of the numberOfSets property.
setNumberOfSupportVectors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SupportVectors
Sets the value of the numberOfSupportVectors property.
setNumberOfTerms(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextModel
Sets the value of the numberOfTerms property.
setNumberOfTransactionGroups(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the numberOfTransactionGroups property.
setNumberOfTransactions(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
Sets the value of the numberOfTransactions property.
setNumberOfTransactions(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
Sets the value of the numberOfTransactions property.
setNumberOfVectors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
Sets the value of the numberOfVectors property.
setNumBins(int) - Method in class weka.classifiers.meta.RegressionByDiscretization
Sets the number of bins to divide each selected numeric attribute into
setNumBins(int) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
 
setNumBins(int) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Sets the number of bins
setNumBoostingIterations(int) - Method in class weka.classifiers.functions.SimpleLogistic
Set the value of numBoostingIterations.
setNumBoostingIterations(int) - Method in class weka.classifiers.trees.LMT
Set the value of numBoostingIterations.
setNumBootstrapRuns(int) - Method in class weka.estimators.UnivariateMixtureEstimator
Sets the number of Bootstrap runs.
setNumCentroids(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Sets the number of centroids to use.
setNumClasses(int) - Method in class weka.core.TestInstances
sets the number of classes
setNumClasses(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Sets the number of classes the dataset should have.
setNumClasses(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
Sets the number of classes the dataset should have.
setNumClusters(int) - Method in class weka.clusterers.Canopy
 
setNumClusters(int) - Method in class weka.clusterers.EM
Set the number of clusters (-1 to select by CV).
setNumClusters(int) - Method in class weka.clusterers.FarthestFirst
set the number of clusters to generate
setNumClusters(int) - Method in class weka.clusterers.HierarchicalClusterer
 
setNumClusters(int) - Method in class weka.clusterers.MakeDensityBasedClusterer
Set the number of clusters to generate.
setNumClusters(int) - Method in interface weka.clusterers.NumberOfClustersRequestable
Set the number of clusters to generate
setNumClusters(int) - Method in class weka.clusterers.SimpleKMeans
set the number of clusters to generate.
setNumClusters(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the number of clusters the dataset should have.
setNumComponents(int) - Method in class weka.estimators.UnivariateMixtureEstimator
Sets the number of components to use.
setNumCycles(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the the number of cycles.
setNumDate(int) - Method in class weka.core.CheckScheme
sets the number of data attributes
setNumDate(int) - Method in class weka.core.TestInstances
sets the number of date attributes
setNumDecimalPlaces(int) - Method in class weka.classifiers.AbstractClassifier
Set the number of decimal places.
setNumDecimalPlaces(int) - Method in class weka.classifiers.trees.m5.Rule
Set the number of decimal places.
setNumDecimalPlaces(int) - Method in class weka.classifiers.trees.RandomForest
Set the number of decimal places.
setNumDecimals(int) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Sets the number of digits to output after the decimal point.
setNumeric(boolean) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Sets if the new Attribute is to be numeric.
setNumericAttributes(String) - Method in class weka.core.converters.CSVLoader
Sets the attribute range to be forced to type numeric
setNumericInfo(NumericInfo) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Sets the value of the numericInfo property.
setNumericInfo(NumericInfo) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Sets the value of the numericInfo property.
setNumericReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Set the numeric replacement value
setNumExamples(int) - Method in class weka.datagenerators.ClassificationGenerator
Sets the number of examples, given by option.
setNumExamples(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
Sets the number of examples, given by option.
setNumExamples(int) - Method in class weka.datagenerators.RegressionGenerator
Sets the number of examples, given by option.
setNumExecutionSlots(int) - Method in class weka.attributeSelection.GreedyStepwise
Sets the number of threads
setNumExecutionSlots(int) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
Set the number of execution slots (threads) to use for building the members of the ensemble.
setNumExecutionSlots(int) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
Set the number of execution slots (threads) to use for building the members of the ensemble.
setNumExecutionSlots(int) - Method in class weka.clusterers.EM
Set the degree of parallelism to use.
setNumExecutionSlots(int) - Method in class weka.clusterers.SimpleKMeans
Set the degree of parallelism to use.
setNumFeatures(int) - Method in class weka.classifiers.trees.RandomForest
Set the number of features to use in random selection.
setNumFolds(int) - Method in class weka.classifiers.functions.SMO
Set the value of numFolds.
setNumFolds(int) - Method in class weka.classifiers.meta.CVParameterSelection
Sets the number of folds for the cross-validation.
setNumFolds(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the value of NumFolds.
setNumFolds(int) - Method in class weka.classifiers.meta.MultiScheme
Sets the number of folds for cross-validation.
setNumFolds(int) - Method in class weka.classifiers.meta.Stacking
Sets the number of folds for the cross-validation.
setNumFolds(int) - Method in class weka.classifiers.rules.PART
Set the value of numFolds.
setNumFolds(int) - Method in class weka.classifiers.trees.J48
Set the value of numFolds.
setNumFolds(int) - Method in class weka.classifiers.trees.RandomTree
Set the value of NumFolds.
setNumFolds(int) - Method in class weka.classifiers.trees.REPTree
Set the value of NumFolds.
setNumFolds(int) - Method in class weka.clusterers.EM
Set the number of folds to use when cross-validating to find the best number of clusters.
setNumFolds(int) - Method in class weka.experiment.CrossValidationResultProducer
Set the value of NumFolds.
setNumFolds(int) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Sets the number of folds the dataset is split into.
setNumFolds(int) - Method in class weka.filters.unsupervised.instance.RemoveFolds
Sets the number of folds the dataset is split into.
setNumFolds(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Sets the number of cross-validation folds to use - < 2 means no cross-validation.
setNumFolds(String) - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Set the number of folds to create
setNumInstances(int) - Method in class weka.core.CheckScheme
Sets the number of instances to use in the datasets (some classifiers might require more instances).
setNumInstances(int) - Method in class weka.core.TestInstances
sets the number of instances to produce
setNumInstances(Random) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Sets the real number of instances for this cluster.
setNumInstances(int) - Method in class weka.estimators.CheckEstimator
Sets the number of instances to use in the datasets (some estimators might require more instances).
setNumInstancesRelational(int) - Method in class weka.core.CheckScheme
sets the number of instances in relational/bag attributes to produce
setNumInstancesRelational(int) - Method in class weka.core.TestInstances
sets the number of instances in relational/bag attributes to produce
setNumIntervals(int) - Method in class weka.filters.supervised.instance.ClassBalancer
Sets the number of discretization intervals to use.
setNumIrrelevant(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
Sets the number of irrelevant attributes.
setNumIterations(int) - Method in class weka.classifiers.functions.VotedPerceptron
Set the value of NumIterations.
setNumIterations(int) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
Sets the number of bagging iterations
setNumKMeansRuns(int) - Method in class weka.clusterers.EM
Set the number of runs of SimpleKMeans to perform.
setNumLocationsPerPixel(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set the number of locations/samples per pixel
setNumNeighbours(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
Set the number of nearest neighbours
setNumNominal(int) - Method in class weka.core.CheckScheme
sets the number of nominal attributes
setNumNominal(int) - Method in class weka.core.TestInstances
sets the number of nominal attributes
setNumNominalValues(int) - Method in class weka.core.TestInstances
sets the number of values for nominal attributes
setNumNumeric(int) - Method in class weka.core.CheckScheme
sets the number of numeric attributes
setNumNumeric(int) - Method in class weka.core.TestInstances
sets the number of numeric attributes
setNumNumeric(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
Sets the number of numerical attributes.
setNumOfPredictors(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the numOfPredictors property.
setNumOfRecords(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the numOfRecords property.
setNumOfRecordsWeighted(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the numOfRecordsWeighted property.
setNumRelational(int) - Method in class weka.core.CheckScheme
sets the number of relational attributes
setNumRelational(int) - Method in class weka.core.TestInstances
sets the number of relational attributes
setNumRelationalDate(int) - Method in class weka.core.TestInstances
sets the number of date attributes in a relational attribute
setNumRelationalNominal(int) - Method in class weka.core.TestInstances
sets the number of nominal attributes in a relational attribute
setNumRelationalNominalValues(int) - Method in class weka.core.TestInstances
sets the number of values for nominal attributes in a relational attribute
setNumRelationalNumeric(int) - Method in class weka.core.TestInstances
sets the number of numeric attributes in a relational attribute
setNumRelationalString(int) - Method in class weka.core.TestInstances
sets the number of string attributes in a relational attribute
setNumRules(int) - Method in class weka.associations.Apriori
Set the value of numRules.
setNumRulesToFind(int) - Method in class weka.associations.FPGrowth
Set the desired number of rules to find.
setNumRuns(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the value of NumRuns.
setNumSamplesPerRegion(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set the number of points to uniformly sample from a region (fixed dimensions).
setNumSamplesPerRegion(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the number of points to uniformly sample from a region (fixed dimensions).
setNumString(int) - Method in class weka.core.CheckScheme
sets the number of string attributes
setNumString(int) - Method in class weka.core.TestInstances
sets the number of string attributes
setNumThreads(int) - Method in class weka.attributeSelection.CfsSubsetEval
Sets the number of threads
setNumThreads(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Sets the number of threads
setNumThreads(int) - Method in class weka.classifiers.meta.LogitBoost
Sets the number of threads
setNumToEvaluateInParallel(int) - Method in class weka.attributeSelection.ClassifierAttributeEval
Set the number of attributes to evaluate in parallel
setNumToSelect(int) - Method in class weka.attributeSelection.GreedyStepwise
Specify the number of attributes to select from the ranked list (if generating a ranking).
setNumToSelect(int) - Method in interface weka.attributeSelection.RankedOutputSearch
Specify the number of attributes to select from the ranked list.
setNumToSelect(int) - Method in class weka.attributeSelection.Ranker
Specify the number of attributes to select from the ranked list.
setNumValues(int) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Sets how many values are retained
setObject(Object) - Method in class weka.core.CheckGOE
Set the object to work on..
setObject(Object) - Method in class weka.gui.beans.AssociatorCustomizer
Set the classifier object to be edited
setObject(Object) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
Set the model performance chart object to customize
setObject(Object) - Method in class weka.gui.beans.ClassAssignerCustomizer
Set the bean to be edited
setObject(Object) - Method in class weka.gui.beans.ClassifierCustomizer
Set the classifier object to be edited
setObject(Object) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
Set the ClassifierPerformanceEvaluator to be customized
setObject(Object) - Method in class weka.gui.beans.ClassValuePickerCustomizer
Set the bean to be edited
setObject(Object) - Method in class weka.gui.beans.ClustererCustomizer
Set the Clusterer object to be edited
setObject(Object) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
Set the object to be edited
setObject(Object) - Method in class weka.gui.beans.DataVisualizerCustomizer
Set the model performance chart object to customize
setObject(Object) - Method in class weka.gui.beans.FilterCustomizer
Set the filter bean to be edited
setObject(Object) - Method in class weka.gui.beans.FlowByExpressionCustomizer
 
setObject(Object) - Method in class weka.gui.beans.ImageSaverCustomizer
Set the ImageSaver object to customize.
setObject(Object) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
Set the object to be edited
setObject(Object) - Method in class weka.gui.beans.JoinCustomizer
 
setObject(Object) - Method in class weka.gui.beans.LoaderCustomizer
Set the loader to be customized
setObject(Object) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
Set the model performance chart object to customize
setObject(Object) - Method in class weka.gui.beans.NoteCustomizer
 
setObject(Object) - Method in class weka.gui.beans.PredictionAppenderCustomizer
Set the object to be edited
setObject(Object) - Method in class weka.gui.beans.SaverCustomizer
Set the saver to be customized
setObject(Object) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
Set the model saver to be customized
setObject(Object) - Method in class weka.gui.beans.SorterCustomizer
Set the object to edit
setObject(Object) - Method in class weka.gui.beans.StripChartCustomizer
Set the StripChart object to be customized
setObject(Object) - Method in class weka.gui.beans.SubstringLabelerCustomizer
Set the SubstringLabeler to edit
setObject(Object) - Method in class weka.gui.beans.SubstringReplacerCustomizer
Set the SubstringReplacer to edit
setObject(Object) - Method in class weka.gui.beans.TextSaverCustomizer
Set the TextSaver object to customize.
setObject(Object) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer
Set the TrainTestSplitMaker to be customized
setObject(Object) - Method in class weka.gui.filters.AddUserFieldsCustomizer
Set the filter to edit.
setOccurrence(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Sequence
Sets the value of the occurrence property.
setOccurrence(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Sets the value of the occurrence property.
setOffDiagDefault(Double) - Method in class weka.core.pmml.jaxbbindings.Matrix
Sets the value of the offDiagDefault property.
setOffDiskReportingFrequency(int) - Method in class weka.associations.FPGrowth
Set how often to report some progress when the data is being read incrementally off of the disk rather than loaded into memory.
setOffscreenAdditionalOpts(String) - Method in class weka.gui.beans.DataVisualizer
Set the additional options for the offscreen renderer
setOffscreenAdditionalOpts(String) - Method in class weka.gui.beans.ModelPerformanceChart
Set the additional options for the offscreen renderer
setOffscreenAdditionalOpts(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Set the additional options for the offscreen renderer
setOffscreenAdditionalOpts(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
Set the additional options for the offscreen renderer
setOffscreenAdditionalOpts(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Set the additional options for the offscreen renderer
setOffscreenHeight(String) - Method in class weka.gui.beans.DataVisualizer
Set the height (in pixels) of the offscreen image to generate
setOffscreenHeight(String) - Method in class weka.gui.beans.ModelPerformanceChart
Set the height (in pixels) of the offscreen image to generate
setOffscreenHeight(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Set the height (in pixels) of the offscreen image to generate
setOffscreenHeight(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
Set the height (in pixels) of the offscreen image to generate
setOffscreenHeight(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Set the height (in pixels) of the offscreen image to generate
setOffscreenRendererName(String) - Method in class weka.gui.beans.DataVisualizer
Set the name of the renderer to use for offscreen chart rendering operations
setOffscreenRendererName(String) - Method in class weka.gui.beans.ModelPerformanceChart
Set the name of the renderer to use for offscreen chart rendering operations
setOffscreenRendererName(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Set the name of the renderer to use for offscreen chart rendering operations
setOffscreenRendererName(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
Set the name of the renderer to use for offscreen chart rendering operations
setOffscreenRendererName(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Set the name of the renderer to use for offscreen chart rendering operations
setOffscreenWidth(String) - Method in class weka.gui.beans.DataVisualizer
Set the width (in pixels) of the offscreen image to generate.
setOffscreenWidth(String) - Method in class weka.gui.beans.ModelPerformanceChart
Set the width (in pixels) of the offscreen image to generate.
setOffscreenWidth(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Set the width (in pixels) of the offscreen image to generate.
setOffscreenWidth(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
Set the width (in pixels) of the offscreen image to generate.
setOffscreenWidth(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Set the width (in pixels) of the offscreen image to generate.
setOffscreenXAxis(String) - Method in class weka.gui.beans.DataVisualizer
Set the name of the attribute for the x-axis in offscreen plots.
setOffscreenXAxis(String) - Method in class weka.gui.beans.ModelPerformanceChart
Set the name of the attribute for the x-axis in offscreen plots.
setOffscreenXAxis(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
Set the name of the attribute for the x-axis in offscreen plots.
setOffscreenXAxis(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
Set the name of the attribute for the x-axis in offscreen plots.
setOffscreenXAxis(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Set the name of the attribute for the x-axis in offscreen plots.
setOffscreenYAxis(String) - Method in class weka.gui.beans.DataVisualizer
Set the name of the attribute for the y-axis in offscreen plots.
setOffscreenYAxis(String) - Method in class weka.gui.beans.ModelPerformanceChart
Set the name of the attribute for the y-axis in offscreen plots.
setOffscreenYAxis(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
Set the name of the attribute for the y-axis in offscreen plots.
setOffscreenYAxis(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Set the name of the attribute for the y-axis in offscreen plots.
setOffset(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Sets the value of the offset property.
setOffsetValue(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the offsetValue property.
setOffsetVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the offsetVariable property.
setOkButtonText(String) - Method in class weka.gui.GenericObjectEditor.GOEPanel
Allows customization of the action label on the dialog.
setOmega(double) - Method in class weka.classifiers.functions.supportVector.Puk
Sets the omega value.
setOn(boolean) - Method in class weka.gui.visualize.ClassPanel
Enables the panel
setOnDemandDirectory(File) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Sets the directory that will be searched for cost files when loading on demand.
setOnDemandDirectory(File) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Sets the directory that will be searched for cost files when loading on demand.
setOperator(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
Sets the value of the operator property.
setOperator(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
Sets the value of the operator property.
setOperator(FlowByExpression.ExpressionClause.ExpressionType) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Set the operator
setOptimalColumnWidth(int) - Method in class weka.gui.JTableHelper
sets the optimal column width for the given column
setOptimalColumnWidth(JTable, int) - Static method in class weka.gui.JTableHelper
sets the optimal column width for the given column
setOptimalColumnWidth() - Method in class weka.gui.JTableHelper
sets the optimal column width for all columns
setOptimalColumnWidth(JTable) - Static method in class weka.gui.JTableHelper
sets the optimal column width for alls column if the given table
setOptimalColWidth() - Method in class weka.gui.arffviewer.ArffPanel
calculates the optimal column width for the current column
setOptimalColWidths() - Method in class weka.gui.arffviewer.ArffPanel
calculates the optimal column widths for all columns
setOptimalColWidths() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
sets the optimal column width for all columns
setOptimalHeaderWidth(int) - Method in class weka.gui.JTableHelper
sets the optimal header width for the given column
setOptimalHeaderWidth(JTable, int) - Static method in class weka.gui.JTableHelper
sets the optimal header width for the given column
setOptimalHeaderWidth() - Method in class weka.gui.JTableHelper
sets the optimal header width for all columns
setOptimalHeaderWidth(JTable) - Static method in class weka.gui.JTableHelper
sets the optimal header width for alls column if the given table
setOptimizations(int) - Method in class weka.classifiers.rules.JRip
Sets the number of optimization runs
setOptimumLiftGraph(OptimumLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
Sets the value of the optimumLiftGraph property.
setOptionHandler(OptionHandler) - Method in class weka.core.CheckOptionHandler
Set the OptionHandler to work on..
setOptions(String[]) - Method in class weka.associations.AbstractAssociator
Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.Apriori
Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.CheckAssociator
Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.FilteredAssociator
Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.FPGrowth
Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.SingleAssociatorEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.ASEvaluation
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.ASSearch
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.BestFirst
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.CfsSubsetEval
Parses and sets a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.CheckAttributeSelection
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.ClassifierAttributeEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.ClassifierSubsetEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.CorrelationAttributeEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.GainRatioAttributeEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.GreedyStepwise
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.InfoGainAttributeEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.OneRAttributeEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.PrincipalComponents
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.Ranker
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.ReliefFAttributeEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.WrapperSubsetEval
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.AbstractClassifier
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.BayesNet
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.NaiveBayes
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.BayesNetGenerator
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.K2
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.TAN
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.K2
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.TAN
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.BVDecompose
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.BVDecomposeSegCVSub
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.classifiers.CheckClassifier
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.CheckSource
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.classifiers.evaluation.output.prediction.CSV
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.classifiers.functions.GaussianProcesses
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.LinearRegression
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.Logistic
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.MultilayerPerceptron
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SGD
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SGDText
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SimpleLinearRegression
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SimpleLogistic
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SMO
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SMOreg
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.CachedKernel
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.CheckKernel
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.Kernel
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.PolyKernel
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.Puk
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegSMO
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.StringKernel
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.VotedPerceptron
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.lazy.IBk
Parses a given list of options.
setOptions(int, int, int) - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
Sets the options.
setOptions(int, int, int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
Set options.
setOptions(String[]) - Method in class weka.classifiers.lazy.KStar
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.lazy.LWL
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.AdaBoostM1
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.AdditiveRegression
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.Bagging
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.CostSensitiveClassifier
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.CVParameterSelection
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.FilteredClassifier
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.LogitBoost
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.MultiClassClassifier
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.MultiScheme
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.RandomSubSpace
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.RegressionByDiscretization
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.Stacking
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.Vote
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.misc.InputMappedClassifier
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.misc.SerializedClassifier
Parses the options for this object.
setOptions(String[]) - Method in class weka.classifiers.MultipleClassifiersCombiner
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableClassifier
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.rules.DecisionTable
Parses the options for this object.
setOptions(String[]) - Method in class weka.classifiers.rules.JRip
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.rules.OneR
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.rules.PART
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.SingleClassifierEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.HoeffdingTree
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.J48
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.LMT
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.m5.M5Base
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.M5P
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.RandomForest
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.RandomTree
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.REPTree
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.AbstractClusterer
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.Canopy
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.CheckClusterer
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.Cobweb
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.EM
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.FarthestFirst
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.FilteredClusterer
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.HierarchicalClusterer
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.MakeDensityBasedClusterer
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.RandomizableClusterer
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.RandomizableDensityBasedClusterer
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.SimpleKMeans
Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.SingleClustererEnhancer
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.Check
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.CheckGOE
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.CheckOptionHandler
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.CheckScheme
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.converters.AbstractFileSaver
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.converters.ArffSaver
Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.C45Saver
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.converters.CSVLoader
 
setOptions(String[]) - Method in class weka.core.converters.CSVSaver
Valid options are:

setOptions(String[]) - Method in class weka.core.converters.DatabaseLoader
Sets the options.
setOptions(String[]) - Method in class weka.core.converters.DatabaseSaver
Sets the options.
setOptions(String[]) - Method in class weka.core.converters.JSONSaver
Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.LibSVMSaver
Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.MatlabSaver
Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.SVMLightSaver
Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.TextDirectoryLoader
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.converters.XRFFSaver
Parses the options for this object.
setOptions(String[]) - Method in class weka.core.DictionaryBuilder
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.FilteredDistance
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.FindWithCapabilities
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.Javadoc
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.ListOptions
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.MinkowskiDistance
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.BallTree
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.CoverTree
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.KDTree
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.LinearNNSearch
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.NormalizableDistance
Parses a given list of options.
setOptions(String[], Object, Class<?>) - Static method in class weka.core.Option
Sets options on the target object.
setOptions(String[]) - Method in interface weka.core.OptionHandler
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.core.OptionHandlerJavadoc
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.stemmers.SnowballStemmer
Parses the options.
setOptions(String[]) - Method in class weka.core.stopwords.AbstractFileBasedStopwords
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.stopwords.AbstractStopwords
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.stopwords.MultiStopwords
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.TechnicalInformationHandlerJavadoc
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.TestInstances
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.tokenizers.NGramTokenizer
Parses a given list of options.
setOptions(String[]) - Method in class weka.core.tokenizers.Tokenizer
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.datagenerators.ClassificationGenerator
Sets the options.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.Agrawal
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.BayesNet
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.LED24
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.RDG1
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.regression.Expression
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.clusterers.SubspaceCluster
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.ClusterGenerator
Sets the options.
setOptions(String[]) - Method in class weka.datagenerators.DataGenerator
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.RegressionGenerator
Sets the options.
setOptions(String[]) - Method in class weka.estimators.CheckEstimator
Parses a given list of options.
setOptions(String[]) - Method in class weka.estimators.Estimator
Parses a given list of options.
setOptions(String[]) - Method in class weka.estimators.UnivariateMixtureEstimator
Sets options based on the given array of strings.
setOptions(String[]) - Method in class weka.experiment.AveragingResultProducer
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.ClassifierSplitEvaluator
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.CrossValidationResultProducer
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.CSVResultListener
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.DatabaseResultProducer
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.Experiment
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.ExplicitTestsetResultProducer
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.InstanceQuery
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.LearningRateResultProducer
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.PairedTTester
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.RandomSplitResultProducer
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.RegressionSplitEvaluator
Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.ResultMatrix
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.filters.CheckSource
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.Filter
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.MultiFilter
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.AddClassification
Parses the options for this object.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.AttributeSelection
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.ClassOrder
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.Discretize
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.MergeNominalValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.NominalToBinary
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.PartitionMembership
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.instance.Resample
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.instance.SpreadSubsample
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
Parses a given list of options controlling the behaviour of this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Add
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddCluster
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddExpression
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddID
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddNoise
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddUserFields
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.CartesianProduct
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ClassAssigner
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Copy
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.DateToNumeric
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Discretize
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.FirstOrder
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.KernelFilter
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MathExpression
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NominalToString
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Normalize
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericToDate
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericTransform
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RandomProjection
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RandomSubset
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Remove
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveByName
Parses the options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveType
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Reorder
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.SortLabels
Parses the options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.StringToNominal
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.SwapValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
 
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.Randomize
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveFolds
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemovePercentage
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveRange
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.Resample
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.ReservoirSample
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
Parses a given list of options.
setOptions(String[]) - Method in class weka.gui.explorer.AbstractPlotInstances
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.gui.Main
Parses the options for this object.
setOptions(String[]) - Method in class weka.gui.scripting.Script
Parses a given list of options.
setOptionsForHierarchy(String[], Object, Class<?>) - Static method in class weka.core.Option
Sets options on the target object.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DataField
Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DerivedField
Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.ParameterField
Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.ResultField
Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.Target
Sets the value of the optype property.
setOrder(double) - Method in class weka.core.MinkowskiDistance
Sets the order.
setOrig(double) - Method in class weka.core.pmml.jaxbbindings.LinearNorm
Sets the value of the orig property.
setOriginalCoords(Vector<Point>) - Method in class weka.gui.beans.MetaBean
sets the vector containing the original coordinates (instances of class Point) for the inputs
setOutlierFactor(double) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Sets the factor for determining the thresholds for outliers.
setOutliers(OUTLIERTREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the outliers property.
setOutliers(OUTLIERTREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
Sets the value of the outliers property.
setOutput(Output) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the output property.
setOutput(Output) - Method in class weka.core.pmml.jaxbbindings.Regression
Sets the value of the output property.
setOutput(PrintWriter) - Method in class weka.datagenerators.DataGenerator
Sets the print writer.
setOutputAdditionalStats(boolean) - Method in class weka.classifiers.functions.LinearRegression
Set whether to output additional statistics (such as std.
setOutputAdditionalStats(boolean) - Method in class weka.classifiers.functions.SimpleLinearRegression
Set whether to output additional statistics (such as std.
setOutputClassification(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
Set whether the classification of the classifier is output.
setOutputColumn(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
Sets the value of the outputColumn property.
setOutputConfusionMatrix(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
setOutputDetailedInfo(boolean) - Method in class weka.attributeSelection.CorrelationAttributeEval
Set whether to output per-value correlation for nominal attributes
setOutputDirectory(File) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Set the directory to save to
setOutputDistribution(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Sets whether to output the class distribution or not.
setOutputDistribution(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
Set whether the Distribution of the classifier is output.
setOutputEntropyMetrics(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
setOutputErrorFlag(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
Set whether the classification of the classifier is output.
setOutputFile(File) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Sets the output file to write to.
setOutputFile(File) - Method in class weka.classifiers.evaluation.output.prediction.InMemory
Ignored, as it does not generate any output.
setOutputFile(File) - Method in class weka.experiment.CrossValidationResultProducer
Set the value of OutputFile.
setOutputFile(File) - Method in class weka.experiment.CSVResultListener
Set the value of OutputFile.
setOutputFile(File) - Method in class weka.experiment.ExplicitTestsetResultProducer
Set the value of OutputFile.
setOutputFile(File) - Method in class weka.experiment.RandomSplitResultProducer
Set the value of OutputFile.
setOutputFilename(boolean) - Method in class weka.core.converters.TextDirectoryLoader
Sets whether the filename will be stored as an extra attribute.
setOutputFileName(String) - Method in class weka.experiment.CSVResultListener
Set the value of OutputFileName.
setOutputFilename(String) - Method in class weka.gui.GenericPropertiesCreator
sets the file to output the properties for the GEO to
setOutputFormat(int) - Method in class weka.core.Debug.Clock
sets the format of the output
setOutputFormatFromDialog() - Method in class weka.gui.experiment.ResultsPanel
displays the Dialog for the output format and sets the chosen settings, if the user approves.
setOutputItemSets(boolean) - Method in class weka.associations.Apriori
Sets whether itemsets are output as well
setOutputNeuron(String) - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
Sets the value of the outputNeuron property.
setOutputOffsetMultiplier(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
Set whether an additional attribute "Offset" is generated per Outlier/ExtremeValue attribute pair that lists the multiplier the value is off the median: value = median + 'multiplier' * IQR.
setOutputOutOfBagComplexityStatistics(boolean) - Method in class weka.classifiers.meta.Bagging
Sets whether complexity statistics are output when OOB estimation is performed.
setOutputPerClassInfoRetrievalStats(boolean) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Set whether to output per-class information retrieval statistics (nominal class only).
setOutputPerClassInfoRetrievalStats(boolean) - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Set whether to output per-class information retrieval statistics (nominal class only).
setOutputPerClassStats(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
setOutputProbsForSVM(boolean) - Method in class weka.classifiers.functions.SGDText
Set whether to fit a logistic regression (itself trained using SGD) to the outputs of the SVM (if an SVM is being learned).
setOutputs(Vector<Object>) - Method in class weka.gui.beans.MetaBean
 
setOutputTypes(String) - Method in class weka.core.Debug.DBO
Switches the outputs on that are requested from the option O
setOutputWordCounts(boolean) - Method in class weka.core.DictionaryBuilder
Sets whether output instances contain 0 or 1 indicating word presence, or word counts.
setOutputWordCounts(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets whether output instances contain 0 or 1 indicating word presence, or word counts.
setOutputWordCounts(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets whether output instances contain 0 or 1 indicating word presence, or word counts.
setOverwriteWarning(boolean) - Method in class weka.gui.ConverterFileChooser
Whether a warning is popped up if the file that is to be saved already exists (only save dialog).
setOwner(CapabilitiesHandler) - Method in class weka.core.Capabilities
sets the owner of this capabilities object
setOwner(SimpleCLIPanel) - Method in class weka.gui.simplecli.AbstractCommand
Sets the owner.
setP(double) - Method in class weka.classifiers.BVDecomposeSegCVSub
Set the proportion of instances that are common between two training sets used to train a classifier.
setPackage(Package) - Method in class weka.core.packageManagement.PackageConstraint
Set the package that this constraint applies to.
setPackageHome(File) - Method in class weka.core.packageManagement.PackageManager
Set the location (directory) of installed packages.
setPackageManager(PackageManager) - Method in class weka.core.packageManagement.DefaultPackage
Set the package manager for this package
setPackageMetaData(Map<?, ?>) - Method in class weka.core.packageManagement.Package
Set the meta data for this package.
setPackageMetaDataElement(Object, Object) - Method in class weka.core.packageManagement.DefaultPackage
Adds a key, value pair to the meta data map.
setPackageMetaDataElement(Object, Object) - Method in class weka.core.packageManagement.Package
Adds a key, value pair to the meta data map.
setPackageRepositoryURL(URL) - Method in class weka.core.packageManagement.PackageManager
Set the URL to the repository of package meta data.
setPaint(Paint) - Method in class weka.gui.visualize.PostscriptGraphics
 
setPaintMode() - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
setPanelHeight(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the height of the visualization
setPanelWidth(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the width of the visualization
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInArithmetic
Set the structure of the parameters that are expected as input by this function.
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInMath
Set the structure of the parameters that are expected as input by this function.
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInString
Set the structure of the parameters that are expected as input by this function.
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.DefineFunction
Set the structure of the parameters that are expected as input by this function.
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Function
Set the structure of the parameters that are expected as input by this function.
setParameterName(String) - Method in class weka.core.pmml.jaxbbindings.PCell
Sets the value of the parameterName property.
setParameterName(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
Sets the value of the parameterName property.
SetParent(int, int) - Method in class weka.classifiers.bayes.net.ParentSet
sets index parent of parent specified by index
setParent(ClusterGenerator) - Method in class weka.datagenerators.ClusterDefinition
sets the parent datagenerator this cluster belongs to
setParent(Container) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
sets the new parent frame
setParent(Edge) - Method in class weka.gui.treevisualizer.Node
Set the value of parent.
setParentField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
Sets the value of the parentField property.
setParentFrame(JFrame) - Method in class weka.gui.SetInstancesPanel
Sets the frame, this panel resides in.
setParentLevelField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
Sets the value of the parentLevelField property.
setParentSeparator(MarginCalculator.JunctionTreeSeparator) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
 
setParentWindow(Window) - Method in class weka.gui.beans.AssociatorCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.beans.ClassAssignerCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.ClassifierCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.ClassValuePickerCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.ClustererCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
 
setParentWindow(Window) - Method in interface weka.gui.beans.CustomizerCloseRequester
A reference to the parent is passed in
setParentWindow(Window) - Method in class weka.gui.beans.DataVisualizerCustomizer
Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.beans.FilterCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.FlowByExpressionCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.ImageSaverCustomizer
Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.JoinCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.LoaderCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.beans.NoteCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.PredictionAppenderCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.SaverCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
 
setParentWindow(Window) - Method in class weka.gui.beans.SorterCustomizer
Set the parent window for this dialog
setParentWindow(Window) - Method in class weka.gui.beans.SubstringLabelerCustomizer
Set a reference to the parent window/dialog containing this panel
setParentWindow(Window) - Method in class weka.gui.beans.SubstringReplacerCustomizer
Set a reference to the parent window/dialog containing this panel
setParentWindow(Window) - Method in class weka.gui.beans.TextSaverCustomizer
Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Set the parent window for this viewer
setParentWindow(Window) - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
Set the parent window for this viewer
setPartialScore(Double) - Method in class weka.core.pmml.jaxbbindings.Attribute
Sets the value of the partialScore property.
setPartition(Partition) - Method in class weka.core.pmml.jaxbbindings.Cluster
Sets the value of the partition property.
setPartition(Partition) - Method in class weka.core.pmml.jaxbbindings.TargetValue
Sets the value of the partition property.
setPartitionGenerator(PartitionGenerator) - Method in class weka.filters.supervised.attribute.PartitionMembership
Set the generator for use in filtering
setPassword(String) - Method in interface weka.core.converters.DatabaseConverter
 
setPassword(String) - Method in class weka.core.converters.DatabaseLoader
Sets user password for the database
setPassword(String) - Method in class weka.core.converters.DatabaseSaver
Sets the database password.
setPassword(String) - Method in class weka.experiment.DatabaseUtils
Set the database password.
setPassword(String) - Method in class weka.gui.sql.ConnectionPanel
sets the Password.
setPasteBuffer(StringBuffer) - Method in class weka.gui.beans.KnowledgeFlowApp
Set the contents of the "paste" buffer and enable the paste from cliboard toolbar button
setPattern(SelectedTag) - Method in class weka.datagenerators.clusterers.BIRCHCluster
Sets the pattern type.
setPayloadElement(String, Object) - Method in class weka.knowledgeflow.Data
Set a payload element to encapsulate in this Data object.
setPCol(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
Sets the value of the pCol property.
setPercent(int) - Method in class weka.filters.unsupervised.attribute.AddNoise
Sets the size of noise data, as a percentage of the original set.
setPercent(double) - Method in class weka.filters.unsupervised.attribute.RandomProjection
Sets the percent the attributes (dimensions) of the data should be reduced to
setPercent() - Method in class weka.gui.visualize.MatrixPanel
Calculates the percentage to resample
setPercentage(double) - Method in class weka.filters.unsupervised.instance.RemovePercentage
Sets the percentage of intances to select.
setPercentCompleted(int) - Method in class weka.gui.boundaryvisualizer.RemoteResult
Set the progress for this row so far
setPeriod(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Sets the value of the period property.
setPeriodicPruning(int) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Set how often to prune the dictionary
setPeriodicPruning(int) - Method in class weka.classifiers.functions.SGDText
Set how often to prune the dictionary
setPeriodicPruning(long) - Method in class weka.core.converters.DictionarySaver
Sets the rate at which the dictionary is periodically pruned, as a percentage of the dataset size.
setPeriodicPruning(long) - Method in class weka.core.DictionaryBuilder
Sets the rate (number of instances) at which the dictionary is periodically pruned
setPeriodicPruning(double) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets the rate at which the dictionary is periodically pruned, as a percentage of the dataset size.
setPeriodicPruningRate(int) - Method in class weka.clusterers.Canopy
Set the how often to prune low density canopies during training
setPerspectiveName(String) - Method in class weka.knowledgeflow.steps.SendToPerspective
 
setPerspectivesToolbarAlwaysHidden(boolean) - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
Set whether the perspectives toolbar should always be hidden
setPerspectivesToolbarVisibleOnStartup(boolean) - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
Set whether the perspectives toolbar should be visible in the GUI at application startup
setPerspectiveToolbarAlwaysHidden(Settings) - Method in class weka.gui.PerspectiveManager
Set whether the perspectives toolbar should always be hidden.
setPerspectiveToolBarIsVisible(boolean) - Method in class weka.gui.PerspectiveManager
 
setPerturbationFraction(double) - Method in class weka.datagenerators.classifiers.classification.Agrawal
Sets the perturbation fraction.
setPhase(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Sets the value of the phase property.
setPhi(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Sets the value of the phi property.
setPickList(List<String>) - Method in class weka.core.Settings.SettingKey
Set the optional pick list for the setting
setPivot(Instance) - Method in class weka.core.neighboursearch.balltrees.BallNode
Sets the pivot/centre of this nodes ball.
setPixHeight(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the height of a pixel
setPixWidth(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the width of a pixel
setPlotBackgroundColour(Color) - Method in class weka.gui.visualize.MatrixPanel
Set the background colour for the cells in the matrix
setPlotCompanion(Plot2DCompanion) - Method in class weka.gui.visualize.Plot2D
Set a companion class.
setPlotList(ArrayList<PlotData2D>) - Method in class weka.gui.visualize.LegendPanel
Set the list of plots to generate legend entries for
setPlotName(String) - Method in class weka.gui.visualize.PlotData2D
Set the name of this plot
setPlotNameHTML(String) - Method in class weka.gui.visualize.PlotData2D
Set the plot name for use in a tool tip text.
setPlotShapes(ArrayList<Integer>) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Set the vector of plot shapes to use;
setPlotSize(int) - Method in class weka.gui.visualize.MatrixPanel
Set the plot size
setPlotSizes(ArrayList<Object>) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Set the vector of plot sizes to use
setPlotTrainingData(boolean) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set whether to superimpose the training data plot
setPlotTrainingData(boolean) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set whether to superimpose the training data points on the plot or not
setPlus(int, double) - Method in class weka.core.matrix.DoubleVector
Adds a value to an element
setPMMLVersion(Document) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
Set the version of PMML used for this model.
setPMMLVersion(Document) - Method in interface weka.core.pmml.PMMLModel
Set the version of the PMML.
setPoints(MiddleOutConstructor.TempNode, int, int, int[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Sets the points of an anchor node.
setPointSize(int) - Method in class weka.gui.visualize.MatrixPanel
Set the point size for the plots
setPointSizeProportionalToMargin(boolean) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Set whether the point size should be proportional to the prediction margin (classification only).
setPoissonDistribution(PoissonDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
Sets the value of the poissonDistribution property.
setPoissonDistribution(PoissonDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
Sets the value of the poissonDistribution property.
setPoolSize(int) - Method in class weka.attributeSelection.CfsSubsetEval
Sets the number of threads
setPoolSize(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Sets the number of threads
setPoolSize(int) - Method in class weka.classifiers.meta.LogitBoost
Sets the number of threads
setPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
setPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
setPopup(JPopupMenu) - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
sets the JPopupMenu to display again after closing the dialog.
setPosition(int, int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
set position of node
setPosition(int, int, int, ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
Set position of node.
setPositiveIndex(int) - Method in class weka.associations.FPGrowth
Set the index of the attribute value to consider as positive for binary attributes in normal dense instances.
setPositiveTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
Sets the value of the positiveTargetFieldDisplayValue property.
setPositiveTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
Sets the value of the positiveTargetFieldValue property.
setPostProcessor(CheckScheme.PostProcessor) - Method in class weka.core.CheckScheme
sets the PostProcessor to use
setPostProcessor(CheckEstimator.PostProcessor) - Method in class weka.estimators.CheckEstimator
sets the PostProcessor to use
setPParameter(double) - Method in class weka.core.pmml.jaxbbindings.Minkowski
Sets the value of the pParameter property.
setPreBuiltClassifiers(File[]) - Method in class weka.classifiers.meta.Vote
Set the paths to pre-built serialized classifiers to load and include in the ensemble
setPrecision(Double) - Method in class weka.core.pmml.jaxbbindings.VerificationField
Sets the value of the precision property.
setPreComputeCorrelationMatrix(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
Set whether to pre-compute the full correlation matrix at the outset, rather than computing individual correlations lazily (as needed) during the search.
SetPredicate - Class in weka.core.pmml.jaxbbindings
Java class for SetPredicate element declaration.
SetPredicate() - Constructor for class weka.core.pmml.jaxbbindings.SetPredicate
 
setPredictionIntervals(double[][]) - Method in class weka.classifiers.evaluation.NumericPrediction
Sets the prediction intervals for this prediction.
setPredictorName(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
Sets the value of the predictorName property.
setPredTargetColumn(boolean) - Method in class weka.experiment.ClassifierSplitEvaluator
Set the flag for prediction and target output.
setPreferredScrollableViewportSize(Dimension) - Method in class weka.gui.AttributeSelectionPanel
 
setPrefix(String) - Method in class weka.gui.beans.SerializedModelSaver
Set the prefix to prepend to the model file names.
setPreprocessing(Filter) - Method in class weka.filters.unsupervised.attribute.KernelFilter
Sets the filter to use for preprocessing (use the AllFilter for no preprocessing)
setPreserveInstancesOrder(boolean) - Method in class weka.clusterers.SimpleKMeans
Sets whether order of instances must be preserved.
setPreserveOrder(boolean) - Method in class weka.gui.beans.CrossValidationFoldMaker
Sets whether the order of the incoming instances is to be preserved under cross-validation (no randomization or stratification is done in this case).
setPreserveOrder(boolean) - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Set whether to preserve the order of the input instances when creatinbg the folds
setPreserveOrder(boolean) - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Set whether to preserve the order of the instances or not
setPreserveOrderInPercentageSplitEvaluation(boolean) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the value of PreserveOrderInPercentageSplitEvaluation.
setPrintClassifiers(boolean) - Method in class weka.classifiers.meta.Bagging
Set whether to print the individual ensemble classifiers in the output
setPrintColNames(boolean) - Method in class weka.experiment.ResultMatrix
sets whether the column names or numbers instead are printed.
setPrintLeafModels(boolean) - Method in class weka.classifiers.trees.HoeffdingTree
 
setPrintNewick(boolean) - Method in class weka.clusterers.HierarchicalClusterer
 
setPrintRowNames(boolean) - Method in class weka.experiment.ResultMatrix
sets whether the row names or numbers instead are printed deactivating automatically sets m_EnumerateColNames to TRUE.
setPriorProbability(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.TargetValue
Sets the value of the priorProbability property.
setPriors(Instances) - Method in class weka.classifiers.evaluation.Evaluation
Sets the class prior probabilities.
setPriors(Instances) - Method in class weka.classifiers.Evaluation
Sets the class prior probabilities.
setProbability(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Sets the value of the probability property.
setProbability(double) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Set the probability to use.
setProducer(String) - Method in class weka.associations.AssociationRules
Set a textual description of the scheme that produced these rules.
setProlog(boolean) - Method in class weka.core.OptionHandlerJavadoc
sets whether to add the "Valid options are..." prolog
setProlog(boolean) - Method in class weka.core.TechnicalInformationHandlerJavadoc
sets whether to add the "Valid options are..." prolog
SetPropertiesFromEnvironment - Class in weka.knowledgeflow.steps
Step that accesses property values stored in the flow environment and attempts to set them on the algorithm-based step that it is connected to.
SetPropertiesFromEnvironment() - Constructor for class weka.knowledgeflow.steps.SetPropertiesFromEnvironment
 
setProperty(String) - Method in class weka.core.pmml.jaxbbindings.Value
Sets the value of the property property.
setProperty(String, String) - Method in class weka.core.ProtectedProperties
Overrides a method to prevent the properties from being modified.
setPropertyArray(Object) - Method in class weka.experiment.Experiment
Sets the array of values to set the custom property to.
setPropertyArray(Object) - Method in class weka.experiment.RemoteExperiment
Sets the array of values to set the custom property to.
setPropertyGroupingCategory(String) - Method in class weka.gui.PropertySheetPanel
 
setPropertyPath(PropertyNode[]) - Method in class weka.experiment.Experiment
Sets the path of properties taken to get to the custom property to iterate over.
setPropertyPath(PropertyNode[]) - Method in class weka.experiment.RemoteExperiment
Sets the path of properties taken to get to the custom property to iterate over.
setPropsInternalRep(String) - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
setPRow(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
Sets the value of the pRow property.
setProxy(Proxy) - Method in class weka.core.packageManagement.PackageManager
Set a proxy to use for accessing the internet (default is no proxy).
setProxyAuthentication(URL) - Method in class weka.core.packageManagement.PackageManager
Sets an new default Authenticator that will return the values set through setProxyUsername() and setProxyPassword() (if applicable).
setProxyPassword(String) - Method in class weka.core.packageManagement.PackageManager
Set the password for authentication with the proxy.
setProxyUsername(String) - Method in class weka.core.packageManagement.PackageManager
Set the user name for authentication with the proxy.
setPruningMethod(SelectedTag) - Method in class weka.classifiers.functions.supportVector.StringKernel
Sets the method used to for pruning.
setPValue(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Sets the value of the pValue property.
setPValueAlpha(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the pValueAlpha property.
setPValueFinal(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the pValueFinal property.
setPValueInitial(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the pValueInitial property.
setQuality(float) - Method in class weka.gui.visualize.JPEGWriter
sets the quality the JPEG is saved in.
setQuantileLimit(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.Quantile
Sets the value of the quantileLimit property.
setQuantileValue(double) - Method in class weka.core.pmml.jaxbbindings.Quantile
Sets the value of the quantileValue property.
setQuery(String) - Method in class weka.core.converters.DatabaseLoader
Sets the query to execute against the database
setQuery(String) - Method in class weka.experiment.InstanceQuery
Set the query to execute against the database
setQuery(String) - Method in class weka.gui.sql.QueryPanel
sets the query in the textarea.
setQueryPanel(QueryPanel) - Method in class weka.gui.sql.ResultPanel
sets the QueryPanel to use for displaying the query
setQuoteDelimiters(String) - Method in class weka.gui.scripting.SyntaxDocument
Sets the quote delimiter characters to use.
setQuoteEscape(String) - Method in class weka.gui.scripting.SyntaxDocument
Sets the character to use for escaping a quote character.
setRadius(double) - Method in class weka.core.neighboursearch.balltrees.BallNode
Sets the radius of the node's ball.
setRaiseExceptionOnCommandFailure(boolean) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Set to raise an exception when a command fails completely (i.e.
setRandom(Random) - Method in class weka.datagenerators.DataGenerator
Sets the random generator.
setRandomizeData(boolean) - Method in class weka.experiment.ExplicitTestsetResultProducer
Set to true if dataset is to be randomized.
setRandomizeData(boolean) - Method in class weka.experiment.RandomSplitResultProducer
Set to true if dataset is to be randomized
setRandomLiftGraph(RandomLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
Sets the value of the randomLiftGraph property.
setRandomOrder(boolean) - Method in class weka.classifiers.bayes.net.search.global.K2
Set random order flag
setRandomOrder(boolean) - Method in class weka.classifiers.bayes.net.search.local.K2
Set random order flag
setRandomSeed(int) - Method in class weka.classifiers.functions.SMO
Set the value of randomSeed.
setRandomSeed(int) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Sets the seed for random number generator.
setRandomSeed(int) - Method in class weka.filters.supervised.instance.Resample
Sets the random number seed.
setRandomSeed(int) - Method in class weka.filters.supervised.instance.SpreadSubsample
Sets the random number seed.
setRandomSeed(int) - Method in class weka.filters.unsupervised.attribute.AddNoise
Sets the random number seed.
setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.Randomize
Set the random number generator seed value.
setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.Resample
Sets the random number seed.
setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.ReservoirSample
Sets the random number seed.
setRandomWidthFactor(double) - Method in class weka.classifiers.meta.MultiClassClassifier
Sets the multiplier when generating random codes.
setRange(String) - Method in class weka.core.InstanceComparator
Sets the attribute range to use for comparison.
setRangeConstraint(String, VersionPackageConstraint.VersionComparison, String, VersionPackageConstraint.VersionComparison) - Method in class weka.core.packageManagement.VersionRangePackageConstraint
Set the range bounds and constraints.
setRanges(String) - Method in class weka.core.Range
Sets the ranges from a string representation.
setRanges(Range[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Sets the list of possible Ranges to choose from.
setRank(BigInteger) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the rank property.
setRankBasis(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the rankBasis property.
setRanking(boolean) - Method in class weka.attributeSelection.AttributeSelection
produce a ranking (if possible with the set search and evaluator)
setRanking(int[][]) - Method in class weka.experiment.ResultMatrix
sets the ranking data based on the wins.
setRankingQuality(Double) - Method in class weka.core.pmml.jaxbbindings.LiftData
Sets the value of the rankingQuality property.
setRankOrder(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the rankOrder property.
setRawOutput(boolean) - Method in class weka.experiment.CrossValidationResultProducer
Set to true if raw split evaluator output is to be saved
setRawOutput(boolean) - Method in class weka.experiment.ExplicitTestsetResultProducer
Set to true if raw split evaluator output is to be saved.
setRawOutput(boolean) - Method in class weka.experiment.RandomSplitResultProducer
Set to true if raw split evaluator output is to be saved
setReadable(String) - Method in class weka.core.Tag
Sets the string description of the Tag.
setReadIncrementally(boolean) - Method in class weka.gui.SetInstancesPanel
Sets whether or not instances should be read incrementally by the Loader.
setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffPanel
sets whether the model is read-only
setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sets whether the model is read-only
setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffTable
sets whether the model is read-only
setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
sets whether the model is read-only
setREALSparseArray(REALSparseArray) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
Sets the value of the realSparseArray property.
setReasonCode(String) - Method in class weka.core.pmml.jaxbbindings.Attribute
Sets the value of the reasonCode property.
setReasonCode(String) - Method in class weka.core.pmml.jaxbbindings.Characteristic
Sets the value of the reasonCode property.
setReasonCodeAlgorithm(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the reasonCodeAlgorithm property.
setRecordCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Sets the value of the recordCount property.
setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.Node
Sets the value of the recordCount property.
setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
Sets the value of the recordCount property.
setRecordCount(double) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Sets the value of the recordCount property.
setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the recordCount property.
setRecordCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Sets the value of the recordCount property.
setReducedErrorPruning(boolean) - Method in class weka.classifiers.rules.PART
Set the value of reducedErrorPruning.
setReducedErrorPruning(boolean) - Method in class weka.classifiers.trees.J48
Set the value of reducedErrorPruning.
setReduceNumberOfDistanceCalcsViaCanopies(boolean) - Method in class weka.clusterers.SimpleKMeans
Set whether to use canopies to reduce the number of distance computations required
setRefer(String) - Method in class weka.gui.treevisualizer.Node
Set the value of refer.
SetReference - Class in weka.core.pmml.jaxbbindings
Java class for SetReference element declaration.
SetReference() - Constructor for class weka.core.pmml.jaxbbindings.SetReference
 
setReferencePoint(Double) - Method in class weka.core.pmml.jaxbbindings.Parameter
Sets the value of the referencePoint property.
setRefreshFreq(int) - Method in class weka.gui.beans.StripChart
Set how often (in x axis points) to refresh the display
setRefreshFreq(int) - Method in class weka.knowledgeflow.steps.StripChart
Set how often (in x axis points) to refresh the display
setRefreshWidth(int) - Method in class weka.gui.beans.StripChart
Set how many pixels to shift the plot by every time a point is plotted
setRefreshWidth(int) - Method in class weka.knowledgeflow.steps.StripChart
Set how many pixels to shift the plot by every time a point is plotted
setRegex(boolean) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Set whether this is a regular expression match or not
setRegex(boolean) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Set whether this is a regular expression match or not
setRegexMatch(String) - Method in class weka.filters.RenameRelation
Set the match string for regex modifications
setRegexMatch(String) - Method in class weka.knowledgeflow.steps.AlterRelationName
Set the match string for regex modifications
setRegOptimizer(RegOptimizer) - Method in class weka.classifiers.functions.SMOreg
sets the learning algorithm
setRegressionModel(RegressionModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the regressionModel property.
setRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.Rule
Set the value of regressionTree.
setRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.RuleNode
Set the value of regressionTree.
setRelation(String) - Method in class weka.core.TestInstances
sets the name of the relation
setRelationalClassFormat(Instances) - Method in class weka.core.TestInstances
sets the structure for the relational class attribute
setRelationalFormat(int, Instances) - Method in class weka.core.TestInstances
sets the structure for the bags for the relational attribute
setRelationFind(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
Sets the regular expression to use on the relation name.
setRelationForTableName(boolean) - Method in class weka.core.converters.DatabaseSaver
En/Dis-ables that the relation name is used for the name of the table (default enabled).
setRelationName(String) - Method in class weka.core.Instances
Sets the relation's name.
setRelationName(String) - Method in class weka.datagenerators.DataGenerator
Sets the relation name the dataset should have.
setRelationNameForFilename(boolean) - Method in class weka.gui.beans.Saver
Set whether to use the relation name as the primary part of the filename.
setRelationNameForFilename(boolean) - Method in class weka.knowledgeflow.steps.Saver
Set whether to use the relation name as the primary part of the filename.
setRelationReplace(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
Sets the replacement string to use on the relation name.
setRemoteHosts(DefaultListModel) - Method in class weka.experiment.RemoteExperiment
Set the list of remote host names
setRemoteHosts(Vector<String>) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
Set a list of host names of machines to distribute processing to
setRemoveAllMissingCols(boolean) - Method in class weka.associations.Apriori
Remove columns containing all missing values.
setRemoveClassColumn(boolean) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Set whether the class column should be removed from the data.
setRemoveFilter(Remove) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
 
setRemoveFilterName(boolean) - Method in class weka.experiment.ResultMatrix
sets whether to remove the filter classname from the dataset name.
setRemoveOldClass(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
Set whether the old class attribute is removed.
setRemoveUnused(boolean) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
Sets whether unused attributes (ones that are not covered by any of the ranges) are removed from the output.
setRenderingHint(RenderingHints.Key, Object) - Method in class weka.gui.visualize.PostscriptGraphics
 
setRenderingHints(Map<?, ?>) - Method in class weka.gui.visualize.PostscriptGraphics
 
setRenderingListener(BoundaryPlotter.RenderingUpdateListener) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set a listener to receive rendering updates
setReplace(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Sets the regular expression to replace matching attribute names with.
setReplace(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Set the replace string
setReplaceAll(boolean) - Method in class weka.filters.RenameRelation
Set whether to replace all regular expression matches, or just the first.
setReplaceAll(boolean) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
Sets whether to replace all occurrences or just the first one.
setReplaceAll(boolean) - Method in class weka.knowledgeflow.steps.AlterRelationName
Set whether to replace all regular expression matches, or just the first.
setReplaceMissingValues(boolean) - Method in class weka.filters.unsupervised.attribute.RandomProjection
Sets either to use replace missing values filter or not
setRepresentCopiesUsingWeights(boolean) - Method in class weka.classifiers.meta.Bagging
Set whether copies of instances are represented using weights rather than explicitly.
setRepresentCopiesUsingWeights(boolean) - Method in class weka.classifiers.trees.RandomForest
This method only accepts true as its argument
setRescaleConstant(Double) - Method in class weka.core.pmml.jaxbbindings.Target
Sets the value of the rescaleConstant property.
setRescaleFactor(Double) - Method in class weka.core.pmml.jaxbbindings.Target
Sets the value of the rescaleFactor property.
setReset(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
This sets the network up to be able to reset itself with the current settings and the learning rate at half of what it is currently.
setReset(boolean) - Method in class weka.gui.beans.ChartEvent
Set the reset flag
setResetIncrementalClassifier(boolean) - Method in class weka.gui.beans.Classifier
Set whether to reset (by calling buildClassifier()) an incremental classifier, and thus discarding any previously learned model, before processing the first instance in the incoming stream.
setResetIncrementalClassifier(boolean) - Method in class weka.knowledgeflow.steps.Classifier
Set whether to reset an incremental classifier at the start of an incoming instance stream
setResetValue(Double) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Sets the value of the resetValue property.
setResourceIntensive(boolean) - Method in class weka.knowledgeflow.StepTask
Set whether this StepTask is resource intensive (cpu/memory) or not.
setResult(T) - Method in class weka.knowledgeflow.ExecutionResult
Set the result generated by the StepTask
setResultKeyFromDialog() - Method in class weka.gui.experiment.ResultsPanel
 
setResultListener(ResultListener) - Method in class weka.experiment.AveragingResultProducer
Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.CrossValidationResultProducer
Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.DatabaseResultProducer
Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.Experiment
Sets the result listener where results will be sent.
setResultListener(ResultListener) - Method in class weka.experiment.ExplicitTestsetResultProducer
Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.LearningRateResultProducer
Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.RandomSplitResultProducer
Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.RemoteExperiment
Sets the result listener where results will be sent.
setResultListener(ResultListener) - Method in interface weka.experiment.ResultProducer
Sets the object to send results of each run to.
setResultMatrix(ResultMatrix) - Method in class weka.experiment.PairedTTester
Sets the matrix to use to produce the output.
setResultMatrix(ResultMatrix) - Method in interface weka.experiment.Tester
Sets the matrix to use to produce the output.
setResultMatrix(ResultMatrix) - Method in class weka.gui.experiment.OutputFormatDialog
Sets the matrix to use as initial selected output format.
setResultProducer(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
Set the ResultProducer.
setResultProducer(ResultProducer) - Method in class weka.experiment.DatabaseResultProducer
Set the ResultProducer.
setResultProducer(ResultProducer) - Method in class weka.experiment.Experiment
Set the result producer used for the current experiment.
setResultProducer(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
Set the ResultProducer.
setResultProducer(ResultProducer) - Method in class weka.experiment.RemoteExperiment
Set the result producer used for the current experiment.
setResultsetKeyColumns(Range) - Method in class weka.experiment.PairedTTester
Set the value of ResultsetKeyColumns.
setResultsetKeyColumns(Range) - Method in interface weka.experiment.Tester
Set the value of ResultsetKeyColumns.
setResultsPanel(ResultsPanel) - Method in class weka.gui.experiment.RunPanel
Sets the pointer to the results panel.
setResume(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
If called with argument true, then the next time done() is called the model is effectively "frozen" and no further iterations can be performed
setResume(boolean) - Method in interface weka.classifiers.IterativeClassifier
If called with argument true then the classifier will be able to be trained further (with more iterations) at a later date.
setResume(boolean) - Method in class weka.classifiers.meta.AdaBoostM1
If called with argument true, then the next time done() is called the model is effectively "frozen" and no further iterations can be performed
setResume(boolean) - Method in class weka.classifiers.meta.AdditiveRegression
If called with argument true, then the next time done() is called the model is effectively "frozen" and no further iterations can be performed
setResume(boolean) - Method in class weka.classifiers.meta.FilteredClassifier
If called with argument true, then the next time done() is called the model is effectively "frozen" and no further iterations can be performed
setResume(boolean) - Method in class weka.classifiers.meta.LogitBoost
If called with argument true, then the next time done() is called the model is effectively "frozen" and no further iterations can be performed
setRetainStringVals(boolean) - Method in class weka.core.converters.ArffLoader
Set whether to retain the values of string attributes in memory (in the header) when reading incrementally.
setRetainStringValues(boolean) - Method in class weka.core.converters.ArffLoader.ArffReader
Set whether to retain the values of string attributes in memory (in the header) when reading incrementally.
setRetrieval(int) - Method in class weka.core.converters.AbstractLoader
Sets the retrieval mode.
setRetrieval(int) - Method in class weka.core.converters.AbstractSaver
Sets the retrieval mode.
setRetrieval(int) - Method in interface weka.core.converters.Loader
Sets the retrieval mode.
setRetrieval(int) - Method in interface weka.core.converters.Saver
Sets the retrieval mode
setRHSIsAnAttribute(boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Set whether the RHS is an attribute rather than a constant
setRHSOperand(String) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
Set the rhs operand
setRidge(double) - Method in class weka.classifiers.functions.LinearRegression
Set the value of Ridge.
setRidge(double) - Method in class weka.classifiers.functions.Logistic
Sets the ridge in the log-likelihood.
setRidge(double) - Method in class weka.estimators.MultivariateGaussianEstimator
Set the value of Ridge.
setRightMargin(Double) - Method in class weka.core.pmml.jaxbbindings.Interval
Sets the value of the rightMargin property.
setRMSE(Double) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Sets the value of the rmse property.
setROC(ROC) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the roc property.
setROCGraph(ROCGraph) - Method in class weka.core.pmml.jaxbbindings.ROC
Sets the value of the rocGraph property.
setROCString(String) - Method in class weka.gui.visualize.ThresholdVisualizePanel
Set the string with ROC area
setRoot(boolean) - Method in class weka.gui.treevisualizer.Node
Set the value of root.
setRootMeanSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the rootMeanSquaredError property.
setRootNode(String) - Method in class weka.core.xml.XMLDocument
sets the root node to use in the XML output.
setRow(int, double[]) - Method in class weka.core.Matrix
Deprecated.
Sets a row of the matrix to the given row.
setRow(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MatCell
Sets the value of the row property.
setRowHidden(int, boolean) - Method in class weka.experiment.ResultMatrix
sets the hidden status of the row (if the index is valid).
setRowName(int, String) - Method in class weka.experiment.ResultMatrix
sets the name of the row (if the index is valid).
setRowNameWidth(int) - Method in class weka.experiment.ResultMatrix
sets the width for the row names (0 = optimal).
setRowNumber(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the row number for this sub task
setRowOrder(int[]) - Method in class weka.experiment.ResultMatrix
sets the ordering of the rows, null means default.
setRsource(String) - Method in class weka.gui.treevisualizer.Edge
Set the value of rsource.
setRSquared(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the rSquared property.
setRtarget(String) - Method in class weka.gui.treevisualizer.Edge
Set the value of rtarget.
setRuleFeature(RULEFEATURE) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the ruleFeature property.
setRules(List<AssociationRule>) - Method in class weka.associations.AssociationRules
Set the rules to use.
setRules(List<AssociationRule>) - Method in class weka.associations.FilteredAssociationRules
Set the rules to use.
setRuleset(ArrayList<Rule>) - Method in class weka.classifiers.rules.RuleStats
Set the ruleset of the stats, overwriting the old one if any
setRuleSetModel(RuleSetModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the ruleSetModel property.
setRulesMustContain(String) - Method in class weka.associations.FPGrowth
Set the comma separated list of items that rules must contain in order to be output.
setRunColumn(int) - Method in class weka.experiment.PairedTTester
Set the value of RunColumn.
setRunColumn(int) - Method in interface weka.experiment.Tester
Set the value of RunColumn.
setRunLower(int) - Method in class weka.experiment.Experiment
Set the lower run number for the experiment.
setRunLower(int) - Method in class weka.experiment.RemoteExperiment
Set the lower run number for the experiment.
setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Sets the m_nRuns.
setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Sets the m_nRuns.
setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
Sets the number of runs
setRunUpper(int) - Method in class weka.experiment.Experiment
Set the upper run number for the experiment.
setRunUpper(int) - Method in class weka.experiment.RemoteExperiment
Set the upper run number for the experiment.
setSample(Double) - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
Sets the value of the sample property.
setSamplePeriod(int) - Method in class weka.gui.beans.StreamThroughput
Set the sampling period (in milliseconds) to compute througput over
setSampleSize(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
Set the number of instances to sample for attribute estimation
setSampleSize(int) - Method in class weka.filters.unsupervised.instance.ReservoirSample
Sets the size of the subsample.
setSampleSizePercent(double) - Method in class weka.filters.supervised.instance.Resample
Sets the size of the subsample, as a percentage of the original set.
setSampleSizePercent(double) - Method in class weka.filters.unsupervised.instance.Resample
Sets the size of the subsample, as a percentage of the original set.
setSaveBinaryDictionary(boolean) - Method in class weka.core.converters.DictionarySaver
Set whether to save the dictionary as a binary serialized dictionary, rather than a plain text one
setSaveDialogTitle(String) - Method in class weka.gui.visualize.PrintableComponent
sets the title for the save dialog.
setSaveDialogTitle(String) - Method in interface weka.gui.visualize.PrintableHandler
sets the title for the save dialog
setSaveDialogTitle(String) - Method in class weka.gui.visualize.PrintablePanel
sets the title for the save dialog
setSaveDictionaryInBinaryForm(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Set whether to save the dictionary in binary serialized form rather than as plain text
setSaveForVisualization(boolean) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
Sets whether the instances are saved for visualization or only evaluation of the prediction is to happen.
setSaveInstanceData(boolean) - Method in class weka.classifiers.trees.J48
Set whether instance data is to be saved.
setSaveInstanceData(boolean) - Method in class weka.clusterers.Cobweb
Set the value of saveInstances.
setSaveInstances(boolean) - Method in class weka.classifiers.trees.M5P
Set whether to save instance data at each node in the tree for visualization purposes
setSaver(Saver) - Method in class weka.knowledgeflow.steps.Saver
Set the saver instance that is wrapped by this step.
setSaverTemplate(Saver) - Method in class weka.gui.beans.Saver
Set the loader to use
setScale(double) - Method in class weka.filters.unsupervised.attribute.Normalize
Sets the scaling factor.
setScale(double, double) - Method in class weka.gui.visualize.JComponentWriter
sets the scale factor - is ignored since we always create a screenshot!
setScale(double, double) - Method in class weka.gui.visualize.PrintableComponent
sets the scale factor.
setScale(double, double) - Method in interface weka.gui.visualize.PrintableHandler
sets the scale factor
setScale(double, double) - Method in class weka.gui.visualize.PrintablePanel
sets the scale factor
setScaleWidthToFit(boolean) - Method in class weka.gui.DocumentPrinting
Sets whether to scale the width to fit.
setScalingEnabled(boolean) - Method in class weka.gui.visualize.JComponentWriter
sets whether to enable scaling
setScore(String) - Method in class weka.core.pmml.jaxbbindings.Node
Sets the value of the score property.
setScore(String) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the score property.
setScorecard(Scorecard) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the scorecard property.
setScoreType(SelectedTag) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
set quality measure to be used in searching for networks.
setSearch(ASSearch) - Method in class weka.attributeSelection.AttributeSelection
set the search method
setSearch(ASSearch) - Method in class weka.attributeSelection.CheckAttributeSelection
Set the search method to test.
setSearch(ASSearch) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Sets the search method
setSearch(ASSearch) - Method in class weka.classifiers.rules.DecisionTable
Sets the search method to use
setSearch(ASSearch) - Method in class weka.filters.supervised.attribute.AttributeSelection
Set search class
setSearchAlgorithm(SearchAlgorithm) - Method in class weka.classifiers.bayes.BayesNet
Set the SearchAlgorithm used in searching for network structures.
setSearchBackwards(boolean) - Method in class weka.attributeSelection.GreedyStepwise
Set whether to search backwards instead of forwards
setSearchMethod(NearestNeighbourSearch) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Sets the search method
setSearchStrategy(ASSearch) - Method in class weka.knowledgeflow.steps.ASSearchStrategy
Set the search strategy wrapped by this step (calls setWrappedAlgorithm)
setSearchString(String) - Method in class weka.gui.arffviewer.ArffTable
sets the search string to look for in the table, NULL or "" disables the search
setSearchTermination(int) - Method in class weka.attributeSelection.BestFirst
Set the numnber of non-improving nodes to consider before terminating search.
setSeasonalityExpoSmooth(SeasonalityExpoSmooth) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Sets the value of the seasonalityExpoSmooth property.
setSecondValueIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
Sets index of the second value used.
setSecondValueIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
Sets index of the second value used.
setSeed(int) - Method in class weka.attributeSelection.AttributeSelection
set the seed for use in cross validation
setSeed(int) - Method in class weka.attributeSelection.ClassifierAttributeEval
Set the seed to use for cross validation
setSeed(int) - Method in class weka.attributeSelection.ClassifierSubsetEval
Set the random seed used to randomize the data before performing a percentage split
setSeed(int) - Method in class weka.attributeSelection.OneRAttributeEval
Set the random number seed for cross validation
setSeed(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
Set the random number seed for randomly sampling instances.
setSeed(int) - Method in class weka.attributeSelection.WrapperSubsetEval
Set the seed to use for cross validation
setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Sets the random number seed
setSeed(int) - Method in class weka.classifiers.BVDecompose
Sets the random number seed
setSeed(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
Sets the random number seed
setSeed(int) - Method in class weka.classifiers.evaluation.EvaluationUtils
Sets the seed for randomization during cross-validation
setSeed(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
This seeds the random number generator, that is used when a random number is needed for the network.
setSeed(int) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Sets the seed value for the random number generator
setSeed(int) - Method in class weka.classifiers.functions.VotedPerceptron
Set the value of Seed.
setSeed(int) - Method in class weka.classifiers.meta.MultiScheme
Sets the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableClassifier
Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
Set the seed for random number generation.
setSeed(long) - Method in class weka.classifiers.rules.JRip
Sets the seed value to use in randomizing the data
setSeed(int) - Method in class weka.classifiers.rules.PART
Set the value of Seed.
setSeed(int) - Method in class weka.classifiers.trees.J48
Set the value of Seed.
setSeed(int) - Method in class weka.classifiers.trees.RandomForest
Sets the seed for the random number generator.
setSeed(int) - Method in class weka.classifiers.trees.RandomTree
Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.trees.REPTree
Set the value of Seed.
setSeed(int) - Method in class weka.clusterers.RandomizableClusterer
Set the seed for random number generation.
setSeed(int) - Method in class weka.clusterers.RandomizableDensityBasedClusterer
Set the seed for random number generation.
setSeed(int) - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
Set the seed for random number generation.
setSeed(long) - Method in class weka.core.Debug.Random
Sets the seed of this random number generator using a single long seed.
setSeed(int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Sets the seed for random number generator (that is used for selecting the first anchor point randomly).
setSeed(int) - Method in interface weka.core.Randomizable
Set the seed for random number generation.
setSeed(int) - Method in class weka.core.TestInstances
sets the seed value for the random number generator
setSeed(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
Sets the random number seed.
setSeed(int) - Method in class weka.datagenerators.DataGenerator
Sets the random number seed.
setSeed(int) - Method in class weka.estimators.UnivariateMixtureEstimator
Set the seed for random number generation.
setSeed(int) - Method in class weka.filters.MultiFilter
Set the seed for random number generation.
setSeed(long) - Method in class weka.filters.supervised.attribute.ClassOrder
Set randomization seed
setSeed(int) - Method in class weka.filters.supervised.instance.Resample
 
setSeed(int) - Method in class weka.filters.supervised.instance.SpreadSubsample
 
setSeed(long) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
Sets the random number seed for shuffling the dataset.
setSeed(int) - Method in class weka.filters.unsupervised.attribute.AddNoise
 
setSeed(int) - Method in class weka.filters.unsupervised.attribute.RandomProjection
Sets the random seed of the random number generator
setSeed(int) - Method in class weka.filters.unsupervised.attribute.RandomSubset
Set the seed value for the random number generator.
setSeed(int) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
Set the random number generator seed value.
setSeed(int) - Method in class weka.filters.unsupervised.instance.Randomize
 
setSeed(long) - Method in class weka.filters.unsupervised.instance.RemoveFolds
Sets the random number seed for shuffling the dataset.
setSeed(int) - Method in class weka.filters.unsupervised.instance.Resample
 
setSeed(int) - Method in class weka.filters.unsupervised.instance.ReservoirSample
 
setSeed(int) - Method in class weka.gui.beans.CrossValidationFoldMaker
Set the seed
setSeed(int) - Method in class weka.gui.beans.TrainTestSplitMaker
Set the random seed
setSeed(int) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
Set a seed for random number generation (if needed).
setSeed(int) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
Initializes a new random number generator using the supplied seed.
setSeed(String) - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Set the random seed to use
setSeed(String) - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Set the random seed to use
setSegmentId(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the segmentId property.
setSelectedAttributes(String) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
 
setSelectedAttributes(boolean[]) - Method in class weka.gui.AttributeSelectionPanel
Set the selected attributes in the widget.
setSelectedBeans(Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setSelectedBeans(int, Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setSelectedColumn(int) - Method in class weka.gui.arffviewer.ArffTable
sets the selected column
setSelectedEnumValue(String) - Method in class weka.core.EnumHelper
Set the selected/wrapped enum value (as obtained by calling toString() on the enum value)
setSelectedListValue(String) - Method in class weka.gui.ResultHistoryPanel
Set the selected list entry.
setSelectedRange(String) - Method in class weka.core.DictionaryBuilder
Set the value of m_SelectedRange.
setSelectedRange(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Set the value of m_SelectedRange.
setSeperator(String) - Method in class weka.gui.HierarchyPropertyParser
Set the seperator between levels.
setSeqId(String) - Method in class weka.core.pmml.jaxbbindings.SequenceReference
Sets the value of the seqId property.
setSequenceModel(SequenceModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the sequenceModel property.
setSequenceReference(SequenceReference) - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
Sets the value of the sequenceReference property.
setSequenceReference(SequenceReference) - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
Sets the value of the sequenceReference property.
setSerializedClassifierFile(File) - Method in class weka.filters.supervised.attribute.AddClassification
Sets the file pointing to a serialized, trained classifier.
setSerializedClustererFile(File) - Method in class weka.filters.unsupervised.attribute.AddCluster
Sets the file pointing to a serialized, built clusterer.
setSetId(String) - Method in class weka.core.pmml.jaxbbindings.SetReference
Sets the value of the setId property.
setSetReference(SetReference) - Method in class weka.core.pmml.jaxbbindings.Sequence
Sets the value of the setReference property.
setSetting(String, Settings.SettingKey, Object) - Method in class weka.core.Settings
Set a value for a setting.
setSettings(Settings) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
 
setSettings(Settings) - Method in interface weka.knowledgeflow.ExecutionEnvironment
Set knowledge flow settings for this execution environment
setSettings(Settings) - Method in interface weka.knowledgeflow.FlowExecutor
Convenience method for applying settings - implementers should delegate the the execution environment
setSettings(Settings) - Method in class weka.knowledgeflow.FlowRunner
Set the settings to use when executing the Flow
setShape(int) - Method in class weka.gui.treevisualizer.Node
Set the value of shape.
setShapes(ArrayList<ArrayList<Double>>) - Method in class weka.gui.visualize.VisualizePanel
This will set the shapes for the instances.
setShapeSize(int[]) - Method in class weka.gui.visualize.PlotData2D
Set the shape sizes for the plot data
setShapeSize(ArrayList<Object>) - Method in class weka.gui.visualize.PlotData2D
Set the shape sizes for the plot data
setShapeType(int[]) - Method in class weka.gui.visualize.PlotData2D
Set the shape type for the plot data
setShapeType(ArrayList<Integer>) - Method in class weka.gui.visualize.PlotData2D
Set the shape type for the plot data
setShowAndOr(boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Set whether to show the combination operator in the textual description
setShowAttBars(boolean) - Method in class weka.gui.visualize.VisualizePanel
Set whether the attribute bars should be shown or not.
setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffPanel
Sets whether to display the attribute index in the header.
setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
Sets whether to display the attribute index in the header.
setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
Sets whether to display the attribute index in the header.
setShowAverage(boolean) - Method in class weka.experiment.ResultMatrix
sets whether to display the average per column or not.
setShowClassPanel(boolean) - Method in class weka.gui.visualize.VisualizePanel
Set whether the class panel should be shown or not.
setShowGlobalInfoToolTips(boolean) - Static method in class weka.gui.GenericObjectEditor
 
setShowLeafTipText(boolean) - Method in class weka.gui.knowledgeflow.StepTree
Turn on or off tool tip text popups for the steps in the tree
setShowStdDev(boolean) - Method in class weka.experiment.ResultMatrix
sets whether to display the std deviations or not.
setShowStdDev(boolean) - Method in class weka.experiment.ResultMatrixSignificance
sets whether to display the std deviations or not - always false!
setShowStdDevs(boolean) - Method in class weka.experiment.PairedTTester
Set whether standard deviations are displayed or not.
setShowStdDevs(boolean) - Method in interface weka.experiment.Tester
Set whether standard deviations are displayed or not.
setShowTipTexts(boolean) - Method in class weka.gui.knowledgeflow.StepTreeLeafDetails
Set whether to show tip text or not
setShowZeroInstancesAsUnknown(boolean) - Method in class weka.gui.InstancesSummaryPanel
Set whether to show zero instances as unknown (i.e.
setShrinkage(double) - Method in class weka.classifiers.meta.AdditiveRegression
Set the shrinkage parameter
setShrinkage(double) - Method in class weka.classifiers.meta.LogitBoost
Set the value of Shrinkage.
setSigma(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
Sets the sigma value.
setSigma(double) - Method in class weka.classifiers.functions.supportVector.Puk
Sets the sigma value.
setSignificance(int, int, int) - Method in class weka.experiment.ResultMatrix
sets the significance at the given position (if the position is valid).
setSignificanceLevel(double) - Method in class weka.associations.Apriori
Set the value of significanceLevel.
setSignificanceLevel(double) - Method in class weka.experiment.PairedTTester
Set the value of SignificanceLevel.
setSignificanceLevel(double) - Method in interface weka.experiment.Tester
Set the value of SignificanceLevel.
setSignificanceLevel(double) - Method in class weka.filters.supervised.attribute.MergeNominalValues
Sets the significance level.
setSignificanceWidth(int) - Method in class weka.experiment.ResultMatrix
sets the width for the significance (0 = optimal).
setSilent(boolean) - Method in class weka.core.AllJavadoc
sets whether to suppress output in the console
setSilent(boolean) - Method in class weka.core.Check
Set slient mode, i.e., no output at all to stdout
setSilent(boolean) - Method in class weka.core.Javadoc
sets whether to suppress output in the console
setSilent(boolean) - Method in class weka.estimators.CheckEstimator
Set slient mode, i.e., no output at all to stdout
setSimilarityScale(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
Sets the value of the similarityScale property.
setSimilarityType(String) - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
Sets the value of the similarityType property.
setSimpleMatching(SimpleMatching) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the simpleMatching property.
setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
Sets the value of the simplePredicate property.
setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Sets the value of the simplePredicate property.
setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the simplePredicate property.
setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the simplePredicate property.
setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
Sets the value of the simpleSetPredicate property.
setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Sets the value of the simpleSetPredicate property.
setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the simpleSetPredicate property.
setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the simpleSetPredicate property.
setSIndex(int) - Method in class weka.gui.visualize.VisualizePanel
Set the shape for creating splits.
setSingle(String) - Method in class weka.gui.ResultHistoryPanel
Sets the single-click display to view the named result.
setSingleIndex(String) - Method in class weka.core.SingleIndex
Sets the index from a string representation.
setSingleLineCommentStart(String) - Method in class weka.gui.scripting.SyntaxDocument
Sets the string that is the start of a single-line comment.
setSize(int) - Method in class weka.core.matrix.DoubleVector
Sets the size of the vector
setSize(int) - Method in class weka.core.matrix.IntVector
Sets the size of the vector.
setSize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Cluster
Sets the value of the size property.
setSize(Double) - Method in class weka.core.pmml.jaxbbindings.Partition
Sets the value of the size property.
setSize(int, int) - Method in class weka.experiment.ResultMatrix
clears the content of the matrix and sets the new size.
setSkipIdentical(boolean) - Method in class weka.core.neighboursearch.LinearNNSearch
Sets the property to skip identical instances (with distance zero from the target) from the set of neighbours returned.
setSmoothedValue(Double) - Method in class weka.core.pmml.jaxbbindings.Level
Sets the value of the smoothedValue property.
setSmoothedValue(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Sets the value of the smoothedValue property.
setSmoothing(boolean) - Method in class weka.classifiers.trees.m5.Rule
Smooth predictions
setSMOReg(SMOreg) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
sets the parent SVM
setSort(boolean) - Method in class weka.filters.unsupervised.attribute.AddValues
Sets whether the labels are sorted.
setSortColumn(int) - Method in class weka.experiment.PairedTTester
Set the column to sort on, -1 means the default sorting.
setSortColumn(int) - Method in interface weka.experiment.Tester
Set the column to sort on, -1 means the default sorting.
setSortDetails(String) - Method in class weka.gui.beans.Sorter
Set the sort rules to use
setSortDetails(String) - Method in class weka.knowledgeflow.steps.Sorter
Set the sort rules to use
setSortDictionary(boolean) - Method in class weka.core.DictionaryBuilder
Set whether to keep the dictionary sorted alphabetically as it is built.
setSortType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.SortLabels
Sets the sort type to be used.
setSource(File) - Method in class weka.core.converters.AbstractFileLoader
Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(File) - Method in class weka.core.converters.AbstractLoader
Default implementation throws an IOException.
setSource(InputStream) - Method in class weka.core.converters.AbstractLoader
Default implementation throws an IOException.
setSource(URL) - Method in class weka.core.converters.ArffLoader
Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.ArffLoader
Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(File) - Method in class weka.core.converters.C45Loader
Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(InputStream) - Method in class weka.core.converters.CSVLoader
Resets the Loader object and sets the source of the data set to be the supplied Stream object.
setSource(File) - Method in class weka.core.converters.CSVLoader
Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(String, String, String) - Method in class weka.core.converters.DatabaseLoader
Sets the database url, user and pw
setSource(String) - Method in class weka.core.converters.DatabaseLoader
Sets the database url
setSource() - Method in class weka.core.converters.DatabaseLoader
Sets the database url using the DatabaseUtils file
setSource(File) - Method in class weka.core.converters.JSONLoader
Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(URL) - Method in class weka.core.converters.JSONLoader
Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.JSONLoader
Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(URL) - Method in class weka.core.converters.LibSVMLoader
Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.LibSVMLoader
Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(File) - Method in interface weka.core.converters.Loader
Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(InputStream) - Method in interface weka.core.converters.Loader
Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(URL) - Method in class weka.core.converters.MatlabLoader
Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.MatlabLoader
Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(InputStream) - Method in class weka.core.converters.SerializedInstancesLoader
Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(URL) - Method in class weka.core.converters.SVMLightLoader
Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.SVMLightLoader
Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(File) - Method in class weka.core.converters.TextDirectoryLoader
Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(File) - Method in class weka.core.converters.XRFFLoader
Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(URL) - Method in class weka.core.converters.XRFFLoader
Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.XRFFLoader
Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(Package) - Method in class weka.core.packageManagement.Dependency
Set the source package.
setSource(Node) - Method in class weka.gui.treevisualizer.Edge
Set the value of source.
setSourceCode(Classifier) - Method in class weka.classifiers.CheckSource
Sets the class to test.
setSourceCode(Filter) - Method in class weka.filters.CheckSource
Sets the class to test.
setSourceStep(Step) - Method in class weka.knowledgeflow.Data
Set the source step of producing this Data object
setSparseData(boolean) - Method in class weka.core.converters.DatabaseLoader
Sets whether data should be encoded as sparse instances
setSparseData(boolean) - Method in class weka.experiment.InstanceQuery
Sets whether data should be encoded as sparse instances
setSplitByDataSet(boolean) - Method in class weka.experiment.RemoteExperiment
Set whether sub experiments are to be created on the basis of data set.
setSplitByProperty(boolean) - Method in class weka.experiment.RemoteExperiment
Set whether sub experiments are to be created on the basis of property.
setSplitCharacteristic(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the splitCharacteristic property.
setSplitCharacteristic(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
Sets the value of the splitCharacteristic property.
setSplitConfidence(double) - Method in class weka.classifiers.trees.HoeffdingTree
Set the allowable error in a split decision.
setSplitCriterion(SelectedTag) - Method in class weka.classifiers.trees.HoeffdingTree
Set the split criterion to use (either Gini or info gain).
setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.CrossValidationResultProducer
Set the SplitEvaluator.
setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.ExplicitTestsetResultProducer
Set the SplitEvaluator.
setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.RandomSplitResultProducer
Set the SplitEvaluator.
setSplitOnResiduals(boolean) - Method in class weka.classifiers.trees.LMT
Set the value of splitOnResiduals.
setSplitPercent(String) - Method in class weka.attributeSelection.ClassifierSubsetEval
Set the split percentage to use
setSplitPercentage(double) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the value of SplitPercentage.
setSplitPoint(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
Sets split point to greatest value in given data smaller or equal to old split point.
setSplitPoint(Instances) - Method in class weka.classifiers.trees.j48.C45Split
Sets split point to greatest value in given data smaller or equal to old split point.
setSplitPoint(double) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Split point to be used for selection on numeric attribute.
setSpreadAttributeWeight(boolean) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
If true, when generating attributes, spread weight of old attribute across new attributes.
setSpreadAttributeWeight(boolean) - Method in class weka.filters.supervised.attribute.Discretize
If true, when generating binary attributes, spread weight of old attribute across new attributes.
setSpreadAttributeWeight(boolean) - Method in class weka.filters.supervised.attribute.NominalToBinary
If true, when generating binary attributes, spread weight of old attribute across new attributes.
setSpreadAttributeWeight(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
If true, when generating binary attributes, spread weight of old attribute across new attributes.
setSpreadAttributeWeight(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
If true, when generating binary attributes, spread weight of old attribute across new attributes.
setSpreadInitialCount(boolean) - Method in class weka.classifiers.trees.REPTree
Set the value of SpreadInitialCount.
setSqlWhere(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
Sets the value of the sqlWhere property.
setSquaredEuclidean(SquaredEuclidean) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the squaredEuclidean property.
setSSB(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
Sets the value of the ssb property.
setSSE(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
Sets the value of the sse property.
setStandardDeviation(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
Sets the value of the standardDeviation property.
setStandardDeviation(Double) - Method in class weka.core.pmml.jaxbbindings.Time
Sets the value of the standardDeviation property.
setStandardError(Double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
Sets the value of the standardError property.
setStartEndIndices(int, int) - Method in class weka.core.neighboursearch.balltrees.BallNode
Sets the the start and end index of the portion of the master index array that is assigned to this node.
setStartSequentially(boolean) - Method in class weka.gui.beans.FlowRunner
Set whether to launch Startable beans one after the other or all in parallel.
setStartSet(String) - Method in class weka.attributeSelection.BestFirst
Sets a starting set of attributes for the search.
setStartSet(String) - Method in class weka.attributeSelection.GreedyStepwise
Sets a starting set of attributes for the search.
setStartSet(String) - Method in class weka.attributeSelection.Ranker
Sets a starting set of attributes for the search.
setStartSet(String) - Method in interface weka.attributeSelection.StartSetHandler
Sets a starting set of attributes for the search.
setStartTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Sets the value of the startTime property.
setStartTimeVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the startTimeVariable property.
setStatic() - Method in class weka.gui.beans.BeanVisual
Deprecated.
setStaticArgs(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Set the arguments for the static command
setStaticCmd(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Set the static command to be executed
setStaticWorkingDir(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Set the working directory for the static command
setStats(Stats) - Method in class weka.core.expressionlanguage.weka.StatsHelper
Sets the corresponding Stats object
setStatus(int) - Method in class weka.gui.beans.IncrementalClassifierEvent
Set the status
setStatus(int) - Method in class weka.gui.beans.InstanceEvent
Set the status
setStatusFrequency(int) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Set how often progress is reported to the status bar.
setStatusFrequency(int) - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Set how often progress is reported to the status bar.
setStatusMessage(String) - Method in class weka.experiment.TaskStatusInfo
Set the status message.
setStatusVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the statusVariable property.
setStdDev(int, int, double) - Method in class weka.experiment.ResultMatrix
sets the std deviation at the given position (if the position is valid).
setStdDevPrec(int) - Method in class weka.experiment.ResultMatrix
sets the precision for the standard deviation.
setStdDevWidth(int) - Method in class weka.experiment.ResultMatrix
sets the width for the std dev (0 = optimal).
setStdError(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the stdError property.
setStemmer(Stemmer) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStemmer(Stemmer) - Method in class weka.classifiers.functions.SGDText
the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStemmer(Stemmer) - Method in class weka.core.converters.DictionarySaver
the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStemmer(Stemmer) - Method in class weka.core.DictionaryBuilder
the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStemmer(String) - Method in class weka.core.stemmers.SnowballStemmer
sets the stemmer with the given name, e.g., "porter".
setStemmer(Stemmer) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStemmer(Stemmer) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStep(Step) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
Set the step that owns this viewer.
setStep(Step) - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
Set the step that owns this viewer.
setStepIsResourceIntensive(boolean) - Method in interface weka.knowledgeflow.StepManager
Mark the step managed by this step manager as resource intensive
setStepIsResourceIntensive(boolean) - Method in class weka.knowledgeflow.StepManagerImpl
Set whether the managed step is resource (cpu/memory) intensive or not
setStepIsResourceIntensive(boolean) - Method in class weka.knowledgeflow.steps.BaseStep
Set whether this step is resource intensive (cpu/memory) or not.
setStepManager(StepManagerImpl) - Method in class weka.gui.knowledgeflow.NoteVisual
Set the StepManagerImpl for the step covered by this visual
setStepManager(StepManagerImpl) - Method in class weka.gui.knowledgeflow.StepVisual
Set the step manager for this visual
setStepManager(StepManager) - Method in class weka.knowledgeflow.steps.BaseStep
Set the step manager for this step
setStepManager(StepManager) - Method in interface weka.knowledgeflow.steps.Step
Set the step manager to use with this step.
setStepMustRunSingleThreaded(boolean) - Method in interface weka.knowledgeflow.StepManager
Marked the step managed by this step manager as one that must run single-threaded.
setStepMustRunSingleThreaded(boolean) - Method in class weka.knowledgeflow.StepManagerImpl
Set whether the managed step must run single-threaded.
setStepMustRunSingleThreaded(boolean) - Method in class weka.knowledgeflow.steps.BaseStep
Set whether this step must run single threaded.
setStepName(String) - Method in class weka.gui.knowledgeflow.StepVisual
Convenience method for setting the name of the step that this visual wraps
setStepProperty(String, Object) - Method in class weka.knowledgeflow.StepManagerImpl
Set a property for this step
setStepSize(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the value of StepSize.
setStepsize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Sets the value of the stepsize property.
setStepSize(int) - Method in class weka.experiment.LearningRateResultProducer
Set the value of StepSize.
setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.ASEvaluatorStepEditorDialog
Set the step to edit in this dialog
setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.ClassAssignerStepEditorDialog
Set the step being edited
setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.ClassifierPerformanceEvaluatorStepEditorDialog
Set the step to edit
setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.ClassValuePickerStepEditorDialog
Set the step to edit
setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.LoaderStepEditorDialog
Set the step to edit in this editor
setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.SaverStepEditorDialog
Set the step to edit
setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.SendToPerspectiveStepEditorDialog
Sets the step to edit and configures the dialog
setStepToWaitFor(String) - Method in class weka.knowledgeflow.steps.Block
Set the step to wait for
setStepVisual(StepVisual) - Method in class weka.knowledgeflow.StepManagerImpl
Set the step visual to use when running in a graphical environment
setStopRequested(boolean) - Method in class weka.knowledgeflow.StepManagerImpl
Set the status of the stop requested flag
setStopwords(File) - Method in class weka.core.stopwords.AbstractFileBasedStopwords
Sets the file containing the stopwords, null or a directory unset the stopwords.
setStopwords(StopwordsHandler[]) - Method in class weka.core.stopwords.MultiStopwords
Sets the stopwords algorithms.
setStopwordsHandler(StopwordsHandler) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Sets the stopwords handler to use.
setStopwordsHandler(StopwordsHandler) - Method in class weka.classifiers.functions.SGDText
Sets the stopwords handler to use.
setStopwordsHandler(StopwordsHandler) - Method in class weka.core.converters.DictionarySaver
Sets the stopwords handler to use.
setStopwordsHandler(StopwordsHandler) - Method in class weka.core.DictionaryBuilder
Sets the stopwords handler to use.
setStopwordsHandler(StopwordsHandler) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets the stopwords handler to use.
setStopwordsHandler(StopwordsHandler) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets the stopwords handler to use.
setStoreOutOfBagPredictions(boolean) - Method in class weka.classifiers.meta.Bagging
Set whether the out of bag predictions are stored.
setString(String, String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
Sets the value of a string variable
setStringAttributes(String) - Method in class weka.core.converters.CSVLoader
Sets the attribute range to be forced to type string.
setStringValue(String) - Method in class weka.core.Attribute
Clear the map and list of values and set them to contain just the supplied value
setStroke(Stroke) - Method in class weka.gui.visualize.PostscriptGraphics
 
setStructure(Instances) - Method in class weka.core.converters.AbstractSaver
Sets the strcuture of the instances for the first step of incremental saving.
setStructure(Instances) - Method in class weka.gui.beans.IncrementalClassifierEvent
Set the instances structure
setStructure(Instances) - Method in class weka.gui.beans.InstanceEvent
Set the instances structure
setSubFlow(Vector<Object>) - Method in class weka.gui.beans.MetaBean
 
setSubFlowPreview(ImageIcon) - Method in class weka.gui.beans.MetaBean
 
setSubjectIDVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the subjectIDVariable property.
setSubsequenceLength(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
Sets the length of the subsequence.
setSubSpaceSize(double) - Method in class weka.classifiers.meta.RandomSubSpace
Sets the size of each subSpace, as a percentage of the training set size.
setSubtreeRaising(boolean) - Method in class weka.classifiers.trees.J48
Set the value of subtreeRaising.
setSummary(int[][], int[][]) - Method in class weka.experiment.ResultMatrix
sets the non-significant and significant wins of the resultsets.
setSumOfSquares(double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Sets the value of the sumOfSquares property.
setSumSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the sumSquaredError property.
setSumSquaredRegression(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the sumSquaredRegression property.
setSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
Sets the value of the support property.
setSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.Itemset
Sets the value of the support property.
setSupport(Double) - Method in class weka.core.pmml.jaxbbindings.Sequence
Sets the value of the support property.
setSupport(double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
Sets the value of the support property.
setSupportVectorMachineModel(SupportVectorMachineModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the supportVectorMachineModel property.
setSupportVectors(SupportVectors) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Sets the value of the supportVectors property.
setSuppressErrorMessage(boolean) - Method in class weka.classifiers.functions.SimpleLinearRegression
Turn off the error message that is reported when no useful attribute is found.
setSuppressMappingReport(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
Set whether to suppress output the report of model to input mappings.
setSuppressOutput(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Sets whether to the regular output is suppressed in case the output is stored in a file.
setSuppressWarnings(boolean) - Method in class weka.core.xml.XMLSerialization
Set whether to suppress warning messages or not
setSvmRepresentation(SVMREPRESENTATION) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Sets the value of the svmRepresentation property.
setT1(double) - Method in class weka.clusterers.Canopy
Set the T1 distance.
setT2(double) - Method in class weka.clusterers.Canopy
Set the T2 distance to use.
setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.ChildParent
Sets the value of the tableLocator property.
setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.MapValues
Sets the value of the tableLocator property.
setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
Sets the value of the tableLocator property.
setTableName(String) - Method in class weka.core.converters.DatabaseSaver
Sets the table's name.
setTabs(int) - Method in class weka.gui.scripting.SyntaxDocument
sets the number of characters per tab.
setTabTitle(String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setTabTitle(int, String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setTabuList(int) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
Sets the Tabu List length.
setTabuList(int) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
Sets the Tabu List length.
setTanimoto(Tanimoto) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
Sets the value of the tanimoto property.
setTarget(PackageConstraint) - Method in class weka.core.packageManagement.Dependency
Set the target package constraint.
setTarget(String) - Method in class weka.core.pmml.jaxbbindings.Anova
Sets the value of the target property.
setTarget(Object) - Method in class weka.gui.PropertySheetPanel
Sets a new target object for customisation.
setTarget(Node) - Method in class weka.gui.treevisualizer.Edge
Set the value of target.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PCell
Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Sets the value of the targetCategory property.
setTargetField(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the targetField property.
setTargetField(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Sets the value of the targetField property.
setTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.LiftData
Sets the value of the targetFieldDisplayValue property.
setTargetFieldName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
Sets the value of the targetFieldName property.
setTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.LiftData
Sets the value of the targetFieldValue property.
setTargetReferenceCategory(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the targetReferenceCategory property.
setTargets(Targets) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
Sets the value of the targets property.
setTargets(Targets) - Method in class weka.core.pmml.jaxbbindings.Regression
Sets the value of the targets property.
setTargetValueCounts(TargetValueCounts) - Method in class weka.core.pmml.jaxbbindings.BayesOutput
Sets the value of the targetValueCounts property.
setTargetValueCounts(TargetValueCounts) - Method in class weka.core.pmml.jaxbbindings.PairCounts
Sets the value of the targetValueCounts property.
setTargetVariableName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the targetVariableName property.
setTaskResult(Object) - Method in class weka.experiment.TaskStatusInfo
Set the returnable result for this task..
setTaxonomy(String) - Method in class weka.core.pmml.jaxbbindings.DataField
Sets the value of the taxonomy property.
setTaxonomy(Taxonomy) - Method in class weka.core.pmml.jaxbbindings.TextDictionary
Sets the value of the taxonomy property.
setTCol(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
Sets the value of the tCol property.
setTempDirectory(String) - Method in class weka.gui.beans.Sorter
Set the directory to use for temporary files during incremental operation
setTempDirectory(File) - Method in class weka.knowledgeflow.steps.Sorter
Set the directory to use for temporary files during incremental operation
setTestBaseFromDialog() - Method in class weka.gui.experiment.ResultsPanel
 
setTestEvaluator(boolean) - Method in class weka.attributeSelection.CheckAttributeSelection
Sets whether the evaluator or the search method is being tested.
setTestSet(DataSetEvent) - Method in class weka.gui.beans.BatchClassifierEvent
Set the test set
setTestsetDir(File) - Method in class weka.experiment.ExplicitTestsetResultProducer
Sets the directory to use for the test sets.
setTestsetPrefix(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
Sets the prefix to use for the test sets.
setTestsetSuffix(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
Sets the suffix to use for the test sets.
setTestStatistic(BASELINETESTSTATISTIC) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Sets the value of the testStatistic property.
setTestStructure(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
Set the test structure (if known in advance) that we are likely to see.
setText(String) - Method in class weka.gui.beans.BeanVisual
Set the label for the visual.
setText(String) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
Set the text to display in the editable combo box.
setText(String) - Method in class weka.gui.EnvironmentField
Set the text to display in the editable combo box.
setText(String) - Method in class weka.gui.PasswordField
 
setTextModel(TextModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the textModel property.
setTextNotificationListener(TextViewer.TextNotificationListener) - Method in class weka.knowledgeflow.steps.TextViewer
Set the listener to be notified about new textual results
setTFTransform(boolean) - Method in class weka.core.DictionaryBuilder
Sets whether if the word frequencies should be transformed into log(1+fij) where fij is the frequency of word i in document(instance) j.
setTFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
Sets whether if the word frequencies should be transformed into log(1+fij) where fij is the frequency of word i in document(instance) j.
setTFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets whether if the word frequencies should be transformed into log(1+fij) where fij is the frequency of word i in document(instance) j.
setThreshold(double) - Method in class weka.attributeSelection.ClassifierAttributeEval
Set the value of the threshold for repeating cross validation
setThreshold(double) - Method in class weka.attributeSelection.GreedyStepwise
Set the threshold by which the AttributeSelection module can discard attributes.
setThreshold(double) - Method in interface weka.attributeSelection.RankedOutputSearch
Sets a threshold by which attributes can be discarded from the ranking.
setThreshold(double) - Method in class weka.attributeSelection.Ranker
Set the threshold by which the AttributeSelection module can discard attributes.
setThreshold(double) - Method in class weka.attributeSelection.WrapperSubsetEval
Set the value of the threshold for repeating cross validation
setThreshold(double) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
Sets the value of the threshold property.
setThreshold(double) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Sets the threshold for the max error when predicting a numeric class.
setTime(Time) - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
Sets the value of the time property.
setTime(double) - Method in class weka.core.pmml.jaxbbindings.BaselineCell
Sets the value of the time property.
setTime(Time) - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
Sets the value of the time property.
setTime(Time) - Method in class weka.core.pmml.jaxbbindings.Sequence
Sets the value of the time property.
setTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
Sets the value of the time property.
setTimeAnchor(TimeAnchor) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Sets the value of the timeAnchor property.
setTimes(int, double) - Method in class weka.core.matrix.DoubleVector
Multiplies a value to an element
setTimeSeriesModel(TimeSeriesModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the timeSeriesModel property.
setTimestamp(Timestamp) - Method in class weka.core.pmml.jaxbbindings.Header
Sets the value of the timestamp property.
setTimestamp(Timestamp) - Method in class weka.core.pmml.jaxbbindings.TimeValue
Sets the value of the timestamp property.
SettingKey() - Constructor for class weka.core.Settings.SettingKey
Construct a new empty setting key
SettingKey(String, String, String) - Constructor for class weka.core.Settings.SettingKey
Construct a new SettingKey with the given key, description and tool tip text
SettingKey(String, String, String, List<String>) - Constructor for class weka.core.Settings.SettingKey
Construct a new SettingKey with the given key, description, tool tip and pick list
Settings - Class in weka.core
Maintains a collection of settings.
Settings(String, String) - Constructor for class weka.core.Settings
Construct a new Settings object to be stored in the supplied store under the given ID/name
Settings.SettingKey - Class in weka.core
Class implementing a key for a setting.
settingsChanged() - Method in class weka.gui.AbstractGUIApplication
Called when settings are changed by the user
settingsChanged() - Method in class weka.gui.AbstractPerspective
Called when the user alters settings.
settingsChanged() - Method in class weka.gui.explorer.AssociationsPanel
 
settingsChanged() - Method in class weka.gui.explorer.AttributeSelectionPanel
 
settingsChanged() - Method in class weka.gui.explorer.ClassifierPanel
 
settingsChanged() - Method in class weka.gui.explorer.ClustererPanel
 
settingsChanged() - Method in class weka.gui.explorer.PreprocessPanel
 
settingsChanged() - Method in class weka.gui.explorer.VisualizePanel
 
settingsChanged() - Method in interface weka.gui.GUIApplication
Called when settings are changed by the user
settingsChanged() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
Apply (changed) settings
settingsChanged() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Called when the user alters settings.
settingsChanged() - Method in interface weka.gui.Perspective
Called when the user alters settings.
settingsChanged() - Method in class weka.gui.SimpleCLIPanel
 
settingsChanged() - Method in class weka.gui.WorkbenchApp
Called when the user changes settings
SettingsEditor - Class in weka.gui
Provides a panel for editing application and perspective settings
SettingsEditor(Settings, GUIApplication) - Constructor for class weka.gui.SettingsEditor
 
SettingsEditor.SingleSettingsEditor - Class in weka.gui
 
setTokenizer(Tokenizer) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
the tokenizer algorithm to use.
setTokenizer(Tokenizer) - Method in class weka.classifiers.functions.SGDText
the tokenizer algorithm to use.
setTokenizer(Tokenizer) - Method in class weka.core.converters.DictionarySaver
the tokenizer algorithm to use.
setTokenizer(Tokenizer) - Method in class weka.core.DictionaryBuilder
the tokenizer algorithm to use.
setTokenizer(Tokenizer) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
the tokenizer algorithm to use.
setTokenizer(Tokenizer) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
the tokenizer algorithm to use.
setTolerance(double) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
sets the tolerance
setToleranceParameter(double) - Method in class weka.classifiers.functions.SMO
Set the value of tolerance parameter.
setToolTip(String) - Method in class weka.core.Settings.SettingKey
Set the tool tip text for this setting
setToolTipText(String) - Method in class weka.gui.GenericObjectEditor.GOETreeNode
Set the tool tip for this node
setTop(double) - Method in class weka.gui.treevisualizer.Node
Set the value of top.
setTotalFreq(double) - Method in class weka.core.pmml.jaxbbindings.Counts
Sets the value of the totalFreq property.
setTotalSquaresSum(Double) - Method in class weka.core.pmml.jaxbbindings.ContStats
Sets the value of the totalSquaresSum property.
setTotalValuesSum(Double) - Method in class weka.core.pmml.jaxbbindings.ContStats
Sets the value of the totalValuesSum property.
setTrainingData(Instances) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set the training data to use
setTrainingTime(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
Set the number of training epochs to perform.
setTrainIterations(int) - Method in class weka.classifiers.BVDecompose
Sets the maximum number of boost iterations
setTrainPercent(double) - Method in class weka.experiment.RandomSplitResultProducer
Set the value of TrainPercent.
setTrainPercent(double) - Method in class weka.gui.beans.TrainTestSplitMaker
Set the percentage of data to be in the training portion of the split
setTrainPercent(String) - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Set the training percentage
setTrainPoolSize(int) - Method in class weka.classifiers.BVDecompose
Set the number of instances in the training pool.
setTrainSet(DataSetEvent) - Method in class weka.gui.beans.BatchClassifierEvent
Set the training set
setTrainSize(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
Set the training size.
setTransactionsMustContain(String) - Method in class weka.associations.FPGrowth
Set the comma separated list of items that transactions must contain in order to be considered for large item sets and rules.
setTransform(AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
 
setTransformAllValues(boolean) - Method in class weka.filters.supervised.attribute.NominalToBinary
Sets whether all nominal values are transformed into new attributes, not just if there are more than 2.
setTransformAllValues(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Sets whether all nominal values are transformed into new attributes, not just if there are more than 2.
setTransformation(String) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Sets the value of the transformation property.
setTransformationDictionary(TransformationDictionary) - Method in class weka.core.pmml.jaxbbindings.PMML
Sets the value of the transformationDictionary property.
setTransformBackToOriginal(boolean) - Method in class weka.attributeSelection.PrincipalComponents
Sets whether the data should be transformed back to the original space
setTranslation(double) - Method in class weka.filters.unsupervised.attribute.Normalize
Sets the translation.
setTreatMissingValuesAsZero(boolean) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Set whether missing values should be treated in the same way as zeros
setTreatXValFoldsSeparately(boolean) - Method in class weka.knowledgeflow.steps.ASEvaluator
Set whether to output separate results for each fold of a cross-validation, rather than averaging over folds.
setTreatZeroAsMissing(boolean) - Method in class weka.associations.Apriori
Sets whether zeros (i.e.
setTreeModel(TreeModel) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the treeModel property.
setTrend(String) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
Sets the value of the trend property.
setTrendExpoSmooth(TrendExpoSmooth) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
Sets the value of the trendExpoSmooth property.
setTrialsValue(BigInteger) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the trialsValue property.
setTrialsVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
Sets the value of the trialsVariable property.
setTrim(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
Set whether to trim white space from each end of names before matching.
setTRow(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
Sets the value of the tRow property.
setTrue(True) - Method in class weka.core.pmml.jaxbbindings.Attribute
Sets the value of the true property.
setTrue(True) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
Sets the value of the true property.
setTrue(True) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the true property.
setTrue(True) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the true property.
setTrueNegative(double) - Method in class weka.classifiers.evaluation.TwoClassStats
Sets the number of negative instances predicted as negative
setTruePositive(double) - Method in class weka.classifiers.evaluation.TwoClassStats
Sets the number of positive instances predicted as positive
setTrueStepName(String) - Method in class weka.gui.beans.FlowByExpression
Set the name of the connected step to send "true" instances to
setTrueStepName(String) - Method in class weka.knowledgeflow.steps.FlowByExpression
Set the name of the connected step to send "true" instances to
setTruncate(boolean) - Method in class weka.core.converters.DatabaseSaver
Set whether to truncate (i.e.
setTStart(double) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
Sets the m_fTStart.
setTStart(double) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
Sets the m_fTStart.
setTValue(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
Sets the value of the tValue property.
setType(int) - Method in class weka.classifiers.functions.neural.NeuralConnection
 
setType(String) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
Sets the value of the type property.
setType(String) - Method in class weka.core.pmml.jaxbbindings.ArrayType
Sets the value of the type property.
setType(String) - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
Sets the value of the type property.
setType(String) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Sets the value of the type property.
setType(TIMEANCHOR2) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
Sets the value of the type property.
setType(VALIDTIMESPEC) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
Sets the value of the type property.
setType(TIMEEXCEPTIONTYPE) - Method in class weka.core.pmml.jaxbbindings.TimeException
Sets the value of the type property.
setType(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Set the type of the new attribute
setUndoBuffer(Stack<File>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setUndoBuffer(int, Stack<File>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setUndoEnabled(boolean) - Method in interface weka.core.Undoable
sets whether undo support is enabled
setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffPanel
sets whether undo support is enabled
setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sets whether undo support is enabled
setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
sets whether undo support is enabled
setUniformDistribution(UniformDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
Sets the value of the uniformDistribution property.
setUniformDistribution(UniformDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
Sets the value of the uniformDistribution property.
setUnit(String) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
Sets the value of the unit property.
setUnpruned(boolean) - Method in class weka.classifiers.rules.PART
Set the value of unpruned.
setUnpruned(boolean) - Method in class weka.classifiers.trees.J48
Set the value of unpruned.
setUnpruned(boolean) - Method in class weka.classifiers.trees.m5.M5Base
Use unpruned tree/rules
setUnpruned(boolean) - Method in class weka.classifiers.trees.m5.Rule
Use unpruned tree/rules
setup(Instances) - Method in class weka.core.DictionaryBuilder
 
setUp() - Method in class weka.gui.explorer.AbstractPlotInstances
Performs checks, sets up the structure for the plot instances.
setupAttribLists() - Method in class weka.gui.visualize.MatrixPanel
Sets up the UI's attributes lists
setUpBoundaryPanel() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Sets up the BoundaryPanel object so that it is ready for plotting.
setUpComboBoxes(Instances) - Method in class weka.gui.visualize.ThresholdVisualizePanel
This overloads VisualizePanel's setUpComboBoxes to add ActionListeners to watch for when the X/Y Axis comboboxes are changed.
setUpComboBoxes(Instances) - Method in class weka.gui.visualize.VisualizePanel
initializes the comboboxes based on the data
setUpdateIncrementalClassifier(boolean) - Method in class weka.gui.beans.Classifier
Set whether an incremental classifier will be updated on the incoming instance stream.
setUpdateIncrementalClassifier(boolean) - Method in class weka.knowledgeflow.steps.Classifier
Set whether to update an incremental classifier on an incoming instance stream
setUpdateWeightsOnly(boolean) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Sets whether only weights should be udpated.
setupEval(Evaluation, Classifier, Instances, CostMatrix, ClassifierErrorsPlotInstances, AbstractOutput, boolean) - Static method in class weka.gui.explorer.ClassifierPanel
Configures an evaluation object with respect to a classifier, cost matrix, output and plotting.
setupEval(Evaluation, Classifier, Instances, CostMatrix, ClassifierErrorsPlotInstances, AbstractOutput, boolean, boolean) - Static method in class weka.gui.explorer.ClassifierPanel
Configures an evaluation object with respect to a classifier, cost matrix, output and plotting.
setUpFile() - Method in class weka.gui.beans.LoaderCustomizer
 
setUpFile() - Method in class weka.gui.beans.SaverCustomizer
Sets up dialog for saving instances in a file
setUpFile() - Method in class weka.gui.beans.SerializedModelSaverCustomizer
Sets up dialog for saving models to a file
SetupModePanel - Class in weka.gui.experiment
This panel switches between simple and advanced experiment setup panels.
SetupModePanel() - Constructor for class weka.gui.experiment.SetupModePanel
Creates the setup panel with no initial experiment.
SetupPanel - Class in weka.gui.experiment
This panel controls the configuration of an experiment.
SetupPanel(Experiment) - Constructor for class weka.gui.experiment.SetupPanel
Creates the setup panel with the supplied initial experiment.
SetupPanel() - Constructor for class weka.gui.experiment.SetupPanel
Creates the setup panel with no initial experiment.
setUpper(double) - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
Sets the value of the upper property.
setUpper(int) - Method in class weka.core.Range
Sets the value of "last".
setUpper(int) - Method in class weka.core.SingleIndex
Sets the value of "last".
setUpperBoundMinSupport(double) - Method in class weka.associations.Apriori
Set the value of upperBoundMinSupport.
setUpperBoundMinSupport(double) - Method in class weka.associations.FPGrowth
Set the value of upperBoundMinSupport.
setUpperSize(int) - Method in class weka.experiment.LearningRateResultProducer
Set the value of UpperSize.
setURL(String) - Method in class weka.core.converters.ArffLoader
Set the url to load from
setUrl(String) - Method in interface weka.core.converters.DatabaseConverter
 
setUrl(String) - Method in class weka.core.converters.DatabaseLoader
Sets the database URL
setUrl(String) - Method in class weka.core.converters.DatabaseSaver
Sets the database URL.
setURL(String) - Method in class weka.core.converters.JSONLoader
Set the url to load from.
setURL(String) - Method in class weka.core.converters.LibSVMLoader
Set the url to load from.
setURL(String) - Method in class weka.core.converters.MatlabLoader
Set the url to load from.
setURL(String) - Method in class weka.core.converters.SVMLightLoader
Set the url to load from.
setURL(String) - Method in interface weka.core.converters.URLSourcedLoader
Set the url to load from
setURL(String) - Method in class weka.core.converters.XRFFLoader
Set the url to load from
setURL(String) - Method in class weka.gui.sql.ConnectionPanel
sets the URL.
setUsage(TIMESERIESUSAGE) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
Sets the value of the usage property.
setUsageType(FIELDUSAGETYPE) - Method in class weka.core.pmml.jaxbbindings.MiningField
Sets the value of the usageType property.
setUseADTree(boolean) - Method in class weka.classifiers.bayes.BayesNet
Set whether ADTree structure is used or not
setUseAIC(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
Set the value of useAIC.
setUseAIC(boolean) - Method in class weka.classifiers.trees.lmt.LogisticBase
Set the value of useAIC.
setUseAIC(boolean) - Method in class weka.classifiers.trees.LMT
Set the value of useAIC.
setUseArcReversal(boolean) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
set use the arc reversal operation
setUseArcReversal(boolean) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
set use the arc reversal operation
setUseAverage(boolean) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Set the value of UseAverage.
setUseBetterEncoding(boolean) - Method in class weka.filters.supervised.attribute.Discretize
Sets whether better encoding is to be used for MDL.
setUseBinNumbers(boolean) - Method in class weka.filters.supervised.attribute.Discretize
Sets whether bin numbers rather than ranges should be used for discretized attributes.
setUseBinNumbers(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
Sets whether bin numbers rather than ranges should be used for discretized attributes.
setUseBlanks(boolean) - Method in class weka.gui.scripting.SyntaxDocument
Sets whether to use blanks instead of tabs.
setUseConjugateGradientDescent(boolean) - Method in class weka.classifiers.functions.Logistic
Sets whether conjugate gradient descent is used.
setUseCpuTime(boolean) - Method in class weka.core.Debug.Clock
enables/disables the use of CPU time (if measurement of CPU time is available).
setUseCrossOver(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
setUseCrossOver(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
setUseCrossValidation(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
Set the value of useCrossValidation.
setUseCustomDimensions(boolean) - Method in class weka.gui.visualize.JComponentWriter
sets whether to use custom dimensions for the image
setUseDouble(boolean) - Method in class weka.core.converters.MatlabSaver
Sets whether to use double or single precision.
setUseDynamic(boolean) - Method in class weka.knowledgeflow.steps.ExecuteProcess
Set whether to execute dynamic commands
setUseEnvironmentPropertyEditors(boolean) - Method in class weka.gui.PropertySheetPanel
Set whether to use environment property editors for string and file properties
setUseEqualFrequency(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
Set the value of UseEqualFrequency.
setUseEqualFrequency(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
Set the value of UseEqualFrequency.
setUseEqualFrequency(boolean) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Set the value of UseEqualFrequency.
setUseEstimatedPriors(boolean) - Method in class weka.classifiers.meta.LogitBoost
Set resampling mode
setUseIBk(boolean) - Method in class weka.classifiers.rules.DecisionTable
Sets whether IBk should be used instead of the majority class
setUseK2Prior(boolean) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
Sets the UseK2Prior.
setUseK2Prior(boolean) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
Sets the UseK2Prior.
setUseKernelEstimator(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
Sets if kernel estimator is to be used.
setUseKononenko(boolean) - Method in class weka.filters.supervised.attribute.Discretize
Sets whether Kononenko's MDL criterion is to be used.
setUseLaplace(boolean) - Method in class weka.classifiers.trees.J48
Set the value of useLaplace.
setUseLeastValues(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Sets whether to use values with least or most instances
setUseLowerOrder(boolean) - Method in class weka.classifiers.functions.supportVector.PolyKernel
Sets whether to use lower-order terms.
setUseMDLcorrection(boolean) - Method in class weka.classifiers.rules.PART
Set the value of useMDLcorrection.
setUseMDLcorrection(boolean) - Method in class weka.classifiers.trees.J48
Set the value of useMDLcorrection.
setUseMissing(boolean) - Method in class weka.filters.unsupervised.attribute.AddNoise
Sets the flag if missing values are treated as extra values.
setUseMutation(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
setUseMutation(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
setUseNormalization(boolean) - Method in class weka.classifiers.functions.supportVector.StringKernel
Sets whether to use normalization.
setUseNormalizedEntropy(boolean) - Method in class weka.estimators.UnivariateMixtureEstimator
 
setUseORForMustContainList(boolean) - Method in class weka.associations.FPGrowth
Set whether to use OR rather than AND when considering must contain lists.
setUsePairwiseCoupling(boolean) - Method in class weka.classifiers.meta.MultiClassClassifier
Set whether to use pairwise coupling with 1-vs-1 classification to improve probability estimates.
setUsePercentageSplit(boolean) - Method in class weka.attributeSelection.ClassifierSubsetEval
Set whether to perform a percentage split on the training data for evaluation
setUseProb(boolean) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
 
setUsePropertyIterator(boolean) - Method in class weka.experiment.Experiment
Sets whether the custom property iterator should be used.
setUsePropertyIterator(boolean) - Method in class weka.experiment.RemoteExperiment
Sets whether the custom property iterator should be used.
setUsePruning(boolean) - Method in class weka.classifiers.rules.JRip
Sets whether pruning is performed
setUseQRDecomposition(boolean) - Method in class weka.classifiers.functions.LinearRegression
Set whether to use QR decomposition.
setUser(String) - Method in interface weka.core.converters.DatabaseConverter
 
setUser(String) - Method in class weka.core.converters.DatabaseLoader
Sets the database user
setUser(String) - Method in class weka.core.converters.DatabaseSaver
Sets the database user.
setUser(String) - Method in class weka.gui.sql.ConnectionPanel
sets the User.
setUseReasonCodes(Boolean) - Method in class weka.core.pmml.jaxbbindings.Scorecard
Sets the value of the useReasonCodes property.
setUseRelativePath(boolean) - Method in class weka.core.converters.AbstractFileLoader
Set whether to use relative rather than absolute paths
setUseRelativePath(boolean) - Method in class weka.core.converters.AbstractFileSaver
Set whether to use relative rather than absolute paths
setUseRelativePath(boolean) - Method in interface weka.core.converters.FileSourcedConverter
Set whether to use relative rather than absolute paths
setUseRelativePath(boolean) - Method in class weka.gui.beans.SerializedModelSaver
Set whether to use relative paths for the directory.
setUseResampling(boolean) - Method in class weka.classifiers.meta.AdaBoostM1
Set resampling mode
setUseResampling(boolean) - Method in class weka.classifiers.meta.LogitBoost
Set resampling mode
setUsername(String) - Method in class weka.experiment.DatabaseUtils
Set the database username.
setUserOptions(String[]) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
sets the option the user supplied for the kernel
setUserOptions(String[]) - Method in class weka.core.CheckOptionHandler
Sets the user-supplied options (creates a copy)
setUserVisiblePerspectives(LinkedList<String>) - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
Set a list of perspectives that should be visible
setUseShortIdentifiers(boolean) - Method in class weka.filters.supervised.attribute.MergeNominalValues
Set whether to output short identifiers for merged values.
setUseShortIDs(boolean) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Sets whether short IDs are to be used.
setUseStars(boolean) - Method in class weka.core.AllJavadoc
sets whether to prefix the Javadoc with "*"
setUseStars(boolean) - Method in class weka.core.Javadoc
sets whether to prefix the Javadoc with "*"
setUseSupervisedDiscretization(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
Set whether supervised discretization is to be used.
setUseSupervisedDiscretization(boolean) - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
Set whether supervised discretization is to be used.
setUseTab(boolean) - Method in class weka.classifiers.evaluation.output.prediction.CSV
Sets whether to use tab instead of comma as separator.
setUseTabs(boolean) - Method in class weka.core.converters.MatlabSaver
Sets whether to use tabs instead of blanks.
setUseTournamentSelection(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
setUseTournamentSelection(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
setUseTraining(boolean) - Method in class weka.attributeSelection.ClassifierSubsetEval
Set if training data is to be used instead of hold out/test data
setUseTree(boolean) - Method in class weka.classifiers.trees.m5.Rule
Use an m5 tree rather than generate rules
setUseUnsmoothed(boolean) - Method in class weka.classifiers.trees.m5.M5Base
Use unsmoothed predictions
setUseVariant1(boolean) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Sets whether to use variant 1
setUseWordFrequencies(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Set whether to use word frequencies rather than binary bag of words representation.
setUseWordFrequencies(boolean) - Method in class weka.classifiers.functions.SGDText
Set whether to use word frequencies rather than binary bag of words representation.
setValidating(boolean) - Method in class weka.core.xml.XMLDocument
sets whether to use a validating parser or not.
Note: this does clear the current DOM document!
setValidating(boolean) - Method in class weka.core.xml.XMLOptions
sets whether to use a validating parser or not.
setValidationSetSize(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
This will set the size of the validation set.
setValidationThreshold(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
This sets the threshold to use for when validation testing is being done.
setValue(int, String) - Method in class weka.core.AbstractInstance
Sets a value of a nominal or string attribute to the given value.
setValue(Attribute, double) - Method in class weka.core.AbstractInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setValue(Attribute, String) - Method in class weka.core.AbstractInstance
Sets a value of an nominal or string attribute to the given value.
setValue(int, double) - Method in class weka.core.BinarySparseInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setValue(int, double) - Method in class weka.core.DenseInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setValue(boolean) - Method in class weka.core.expressionlanguage.common.Primitives.BooleanVariable
 
setValue(double) - Method in class weka.core.expressionlanguage.common.Primitives.DoubleVariable
 
setValue(String) - Method in class weka.core.expressionlanguage.common.Primitives.StringVariable
 
setValue(int, double) - Method in interface weka.core.Instance
Sets a specific value in the instance to the given value (internal floating-point format).
setValue(int, String) - Method in interface weka.core.Instance
Sets a value of a nominal or string attribute to the given value.
setValue(Attribute, double) - Method in interface weka.core.Instance
Sets a specific value in the instance to the given value (internal floating-point format).
setValue(Attribute, String) - Method in interface weka.core.Instance
Sets a value of an nominal or string attribute to the given value.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Category
Sets the value of the value property.
setValue(Double) - Method in class weka.core.pmml.jaxbbindings.Coefficient
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Constant
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Decision
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Extension
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.FieldValue
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Item
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.MatCell
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.PairCounts
Sets the value of the value property.
setValue(double) - Method in class weka.core.pmml.jaxbbindings.PCovCell
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValue
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
Sets the value of the value property.
setValue(double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Value
Sets the value of the value property.
setValue(Object, PropertyPath.Path, Object) - Static method in class weka.core.PropertyPath
set the given value specified by the given path in the object
setValue(Object, String, Object) - Static method in class weka.core.PropertyPath
set the given value specified by the given path in the object
setValue(int, double) - Method in class weka.core.SparseInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setValue(TechnicalInformation.Field, String) - Method in class weka.core.TechnicalInformation
sets the value for the given field, overwrites any previously existing one.
setValue(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Set the value of the new attribute.
setValue(Object) - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
setValue(Object) - Method in class weka.gui.ColorEditor
Set the current color
setValue(Object) - Method in class weka.gui.CostMatrixEditor
Sets the value of the CostMatrix to be edited.
setValue(Object) - Method in class weka.gui.EnvironmentField
 
setValue(Object) - Method in class weka.gui.FileEnvironmentField
 
setValue(Object) - Method in class weka.gui.GenericArrayEditor
Sets the current object array.
setValue(Object) - Method in class weka.gui.GenericObjectEditor
Sets the current Object.
setValue(Object) - Method in class weka.gui.PasswordField
 
setValue(Object) - Method in class weka.gui.SimpleDateFormatEditor
Sets the value of the date format to be edited.
setValueAt(Object, int, int) - Method in class weka.gui.arffviewer.ArffTableModel
sets the value in the cell at columnIndex and rowIndex to aValue.
setValueAt(Object, int, int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
sets the value in the cell at columnIndex and rowIndex to aValue.
setValueAt(Object, int, int) - Method in class weka.gui.InteractiveTableModel
 
setValueAt(Object, int, int) - Method in class weka.gui.SortedTableModel
Sets the value in the cell at columnIndex and rowIndex to aValue.
setValueAt(Object, int, int) - Method in class weka.gui.sql.ResultSetTableModel
sets the value in the cell at columnIndex and rowIndex to aValue.
setValueIndex(int) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Sets index of the indicator value.
setValueIndices(String) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Sets indices of the indicator values.
setValueIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
Set which attributes are to be deleted (or kept if invert is true)
setValueReplacements(String) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
 
setValuesList(String) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Sets the ranges for each attribute.
setValueSparse(int, double) - Method in class weka.core.BinarySparseInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setValueSparse(int, double) - Method in class weka.core.DenseInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setValueSparse(int, double) - Method in interface weka.core.Instance
Sets a specific value in the instance to the given value (internal floating-point format), given an index into the sparse representation.
setValueSparse(int, double) - Method in class weka.core.SparseInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setVariables(VariableDeclarations) - Method in class weka.core.expressionlanguage.parser.Parser
Sets the variable declarations for the program
SetVariables - Class in weka.knowledgeflow.steps
Step that can be used to set the values of environment variables for the flow being executed.
SetVariables() - Constructor for class weka.knowledgeflow.steps.SetVariables
 
SetVariablesStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Editor dialog for the SetVariables step
SetVariablesStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SetVariablesStepEditorDialog
 
setVariance(double) - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
Sets the value of the variance property.
setVariance(double) - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
Sets the value of the variance property.
setVarianceCovered(double) - Method in class weka.attributeSelection.PrincipalComponents
Sets the amount of variance to account for when retaining principal components
setVarianceCovered(double) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Sets the amount of variance to account for when retaining principal components.
setVarsInternalRep(String) - Method in class weka.knowledgeflow.steps.SetVariables
Set the static variables to set (in internal representation)
setVectorFields(VectorFields) - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
Sets the value of the vectorFields property.
setVectorId(String) - Method in class weka.core.pmml.jaxbbindings.SupportVector
Sets the value of the vectorId property.
setVerbose(boolean) - Method in class weka.associations.Apriori
Sets verbose mode
setVerboseOn() - Method in class weka.core.Debug.DBO
Set the verbose on flag on
setVerificationFields(VerificationFields) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
Sets the value of the verificationFields property.
setVersion(String) - Method in class weka.core.pmml.jaxbbindings.Application
Sets the value of the version property.
setVersion(String) - Method in class weka.core.pmml.jaxbbindings.PMML
Sets the value of the version property.
setVersionConstraint(VersionPackageConstraint.VersionComparison) - Method in class weka.core.packageManagement.VersionPackageConstraint
 
setVersionConstraint(String) - Method in class weka.core.packageManagement.VersionPackageConstraint
 
setVisible(boolean) - Method in class weka.gui.knowledgeflow.InvisibleNode
Set the visible status of this node
setVisible(boolean) - Method in class weka.gui.Main
Shows or hides this component depending on the value of parameter b.
setVisible(boolean) - Method in class weka.gui.sql.SqlViewerDialog
displays the dialog if TRUE.
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractDataSink
Set the visual for this data source
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractDataSource
Set the visual for this data source
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractEvaluator
Set the visual
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTestSetProducer
Set the visual for this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Set the visual for this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTrainingSetProducer
Set the visual for this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.Appender
Set a new visual representation
setVisual(BeanVisual) - Method in class weka.gui.beans.Associator
Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.ClassAssigner
 
setVisual(BeanVisual) - Method in class weka.gui.beans.Classifier
Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.ClassValuePicker
 
setVisual(BeanVisual) - Method in class weka.gui.beans.Clusterer
Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.CostBenefitAnalysis
 
setVisual(BeanVisual) - Method in class weka.gui.beans.DataVisualizer
Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.Filter
Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.FlowByExpression
 
setVisual(BeanVisual) - Method in class weka.gui.beans.GraphViewer
Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.ImageSaver
 
setVisual(BeanVisual) - Method in class weka.gui.beans.ImageViewer
 
setVisual(BeanVisual) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.Join
Set the visual for this step
setVisual(BeanVisual) - Method in class weka.gui.beans.MetaBean
Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.ModelPerformanceChart
Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.PredictionAppender
Set the visual for this data source
setVisual(BeanVisual) - Method in class weka.gui.beans.SerializedModelSaver
Set the visual for this data source.
setVisual(BeanVisual) - Method in class weka.gui.beans.Sorter
Set a new visual representation
setVisual(BeanVisual) - Method in class weka.gui.beans.StripChart
Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.SubstringLabeler
Set a new visual representation
setVisual(BeanVisual) - Method in class weka.gui.beans.SubstringReplacer
Set a new visual representation
setVisual(BeanVisual) - Method in class weka.gui.beans.TextSaver
 
setVisual(BeanVisual) - Method in class weka.gui.beans.TextViewer
Describe setVisual method here.
setVisual(BeanVisual) - Method in interface weka.gui.beans.Visible
Set a new visual representation
setVoteFlag(boolean) - Method in class weka.datagenerators.classifiers.classification.RDG1
Sets the vote flag.
setWeight(double) - Method in class weka.core.AbstractInstance
Sets the weight of an instance.
setWeight(double) - Method in class weka.core.Attribute
Sets the new attribute's weight.
setWeight(double) - Method in interface weka.core.Instance
Sets the weight of an instance.
setWeight(double) - Method in class weka.core.pmml.jaxbbindings.Con1
Sets the value of the weight property.
setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.Item
Sets the value of the weight property.
setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.Segment
Sets the value of the weight property.
setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
Sets the value of the weight property.
setWeight(double) - Method in class weka.filters.unsupervised.attribute.Add
Sets weight of the attribute used.
setWeightByDistance(boolean) - Method in class weka.attributeSelection.ReliefFAttributeEval
Set the nearest neighbour weighting method
setWeighted(String) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
Sets the value of the weighted property.
setWeighted(String) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
Sets the value of the weighted property.
setWeightField(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Sets the value of the weightField property.
setWeightingDimensions(boolean[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
Set the dimensions to be used in computing a weight for each instance generated
setWeightingDimensions(boolean[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
Set which dimensions to use when computing a weight for the next instance to generate
setWeightingKernel(int) - Method in class weka.classifiers.lazy.LWL
Sets the kernel weighting method to use.
setWeightingValues(double[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
Set the values of the dimensions (chosen via setWeightingDimensions) to be used when computing instance weights
setWeightingValues(double[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
Set the values for the weighting dimensions to be used when computing the weight for the next instance to be generated
setWeightThreshold(int) - Method in class weka.classifiers.meta.AdaBoostM1
Set weight threshold
setWeightThreshold(int) - Method in class weka.classifiers.meta.LogitBoost
Set weight thresholding
setWeightTrimBeta(double) - Method in class weka.classifiers.functions.SimpleLogistic
Set the value of weightTrimBeta.
setWeightTrimBeta(double) - Method in class weka.classifiers.trees.lmt.LogisticBase
Sets the option "weightTrimBeta".
setWeightTrimBeta(double) - Method in class weka.classifiers.trees.LMT
Set the value of weightTrimBeta.
setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
Sets the value of the width property.
setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
Sets the value of the width property.
setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
Sets the value of the width property.
setWindowSize(int) - Method in class weka.classifiers.lazy.IBk
Sets the maximum number of instances allowed in the training pool.
setWindowSize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
Sets the value of the windowSize property.
setWords(String) - Method in class weka.core.CheckScheme
Sets the comma-separated list of words to use for generating strings.
setWords(String) - Method in class weka.core.TestInstances
Sets the comma-separated list of words to use for generating strings.
setWordSeparators(String) - Method in class weka.core.CheckScheme
sets the word separators (chars) to use for assembling strings.
setWordSeparators(String) - Method in class weka.core.TestInstances
sets the word separators (chars) to use for assembling strings.
setWordsToKeep(int) - Method in class weka.core.converters.DictionarySaver
Sets the number of words (per class if there is a class attribute assigned) to attempt to keep.
setWordsToKeep(int) - Method in class weka.core.DictionaryBuilder
Sets the number of words (per class if there is a class attribute assigned) to attempt to keep.
setWordsToKeep(int) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Sets the number of words (per class if there is a class attribute assigned) to attempt to keep.
setWordwrap(boolean) - Method in class weka.gui.LogWindow
toggles the wordwrap
override wordwrap from: http://forum.java.sun.com/thread.jspa?threadID=498535&messageID=2356174
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Associator
Sets the algorithm (associator) for this bean
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Classifier
Sets the algorithm (classifier) for this bean
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Clusterer
Sets the algorithm (clusterer) for this bean
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Filter
Set the filter to be wrapped by this bean
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Loader
Set the loader
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Saver
Set the saver
setWrappedAlgorithm(Object) - Method in interface weka.gui.beans.WekaWrapper
Set the algorithm.
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.ASEvaluator
Set an instance of the wrapped algorithm to use
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.ASSearchStrategy
Set the actual algorithm wrapped by this instance
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Associator
Set the wrapped algorithm
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Classifier
 
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Clusterer
Set the wrapped algorithm
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.DataGenerator
Set the algorithm to wrap
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Filter
Set the wrapped algorithm (filter)
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Loader
Set the wrapped algorithm to use
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Saver
Set the actual wrapped algorithm instance
setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
Set the wrapped algorithm
setWrappedRules(AssociationRules) - Method in class weka.associations.FilteredAssociationRules
Set the wrapped AssociationRules object to use.
setWriteTitleString(boolean) - Method in class weka.knowledgeflow.steps.TextSaver
Set whether the title string will be written to the file
setX(double) - Method in class weka.classifiers.functions.neural.NeuralConnection
 
setX(int) - Method in class weka.gui.beans.BeanInstance
Sets the x coordinate of this bean
setX(int) - Method in class weka.gui.knowledgeflow.StepVisual
Set the x coordinate of this step on the graphical layout
setX(int) - Method in class weka.gui.visualize.AttributePanel
shows which bar is the current x attribute.
setXAttName(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set the name/index of the X axis attribute
setXAttribute(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set the x attribute index
setXAttribute(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the x axis fixed dimension
setXCoordinates(XCoordinates) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Sets the value of the xCoordinates property.
setXCoordinates(XCoordinates) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
Sets the value of the xCoordinates property.
setXindex(int) - Method in class weka.gui.visualize.Plot2D
Set the index of the attribute to go on the x axis
setXindex(int) - Method in class weka.gui.visualize.PlotData2D
Set the x index of the data.
setXIndex(int) - Method in class weka.gui.visualize.VisualizePanel
Set the index of the attribute for the x axis
setXLabelFreq(int) - Method in class weka.gui.beans.StripChart
Set the frequency for printing x label values
setXLabelFreq(int) - Method in class weka.knowledgeflow.steps.StripChart
Set the x label frequency
setXML(Reader) - Method in class weka.core.xml.XMLInstances
reads the XML structure from the given reader
setXORMode(Color) - Method in class weka.gui.visualize.PostscriptGraphics
Not implemented
setXval(boolean) - Method in class weka.attributeSelection.AttributeSelection
do a cross validation
setXY(int, int) - Method in class weka.gui.beans.BeanInstance
Set the x and y coordinates of this bean
setY(double) - Method in class weka.classifiers.functions.neural.NeuralConnection
 
setY(int) - Method in class weka.gui.beans.BeanInstance
Sets the y coordinate of this bean
setY(int) - Method in class weka.gui.knowledgeflow.StepVisual
Set the y coordinate of this step on the graphical layout
setY(int) - Method in class weka.gui.visualize.AttributePanel
shows which bar is the current y attribute.
setYAttName(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Set the name/index of the Y axis attribute
setYAttribute(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Set the y attribute index
setYAttribute(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
Set the y axis fixed dimension
setYCoordinates(YCoordinates) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
Sets the value of the yCoordinates property.
setYCoordinates(YCoordinates) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
Sets the value of the yCoordinates property.
setYindex(int) - Method in class weka.gui.visualize.Plot2D
Set the index of the attribute to go on the y axis
setYindex(int) - Method in class weka.gui.visualize.PlotData2D
Set the y index of the data
setYIndex(int) - Method in class weka.gui.visualize.VisualizePanel
Set the index of the attribute for the y axis
setZeroThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.VerificationField
Sets the value of the zeroThreshold property.
setZMax(double) - Method in class weka.classifiers.meta.LogitBoost
Set the Z max threshold on the responses
setZoomSetting(int, int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
 
setZoomSetting(int) - Method in class weka.gui.knowledgeflow.VisibleLayout
Set the current zoom setting for this layout
SEVERE - Static variable in class weka.core.Debug
the log level Severe
SFEntropyGain() - Method in class weka.classifiers.evaluation.Evaluation
Returns the difference in base-2 log loss between null model and scheme.
SFEntropyGain() - Method in class weka.classifiers.Evaluation
Returns the total SF, which is the null model entropy minus the scheme entropy.
SFMeanEntropyGain() - Method in class weka.classifiers.evaluation.Evaluation
Returns the mean difference in base-2 log loss between null model and scheme.
SFMeanEntropyGain() - Method in class weka.classifiers.Evaluation
Returns the SF per instance, which is the null model entropy minus the scheme entropy, per instance.
SFMeanPriorEntropy() - Method in class weka.classifiers.evaluation.Evaluation
Returns the mean base-2 log loss wrt the null model.
SFMeanPriorEntropy() - Method in class weka.classifiers.Evaluation
Returns the entropy per instance for the null model.
SFMeanSchemeEntropy() - Method in class weka.classifiers.evaluation.Evaluation
Returns the mean base-2 log loss wrt the scheme.
SFMeanSchemeEntropy() - Method in class weka.classifiers.Evaluation
Returns the entropy per instance for the scheme.
SFPriorEntropy() - Method in class weka.classifiers.evaluation.Evaluation
Returns the base-2 log loss wrt the null model.
SFPriorEntropy() - Method in class weka.classifiers.Evaluation
Returns the total entropy for the null model.
SFSchemeEntropy() - Method in class weka.classifiers.evaluation.Evaluation
Returns the base-2 log loss wrt the scheme.
SFSchemeEntropy() - Method in class weka.classifiers.Evaluation
Returns the total entropy for the scheme.
SGD - Class in weka.classifiers.functions
Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression).
SGD() - Constructor for class weka.classifiers.functions.SGD
 
SGDText - Class in weka.classifiers.functions
Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.
SGDText() - Constructor for class weka.classifiers.functions.SGDText
 
SGDText.Count - Class in weka.classifiers.functions
 
ShadowBorder - Class in weka.gui.beans
 
ShadowBorder() - Constructor for class weka.gui.beans.ShadowBorder
Constructor.
ShadowBorder(int) - Constructor for class weka.gui.beans.ShadowBorder
Constructor.
ShadowBorder(int, Color) - Constructor for class weka.gui.beans.ShadowBorder
Constructor.
ShadowBorder - Class in weka.gui.knowledgeflow
Border implementation that provides a drop shadow
ShadowBorder() - Constructor for class weka.gui.knowledgeflow.ShadowBorder
Constructor.
ShadowBorder(int) - Constructor for class weka.gui.knowledgeflow.ShadowBorder
Constructor.
ShadowBorder(int, Color) - Constructor for class weka.gui.knowledgeflow.ShadowBorder
Constructor.
shear(double, double) - Method in class weka.gui.visualize.PostscriptGraphics
 
shift(int, int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
Shifts given instance from one bag to another one.
shift(int, int) - Method in class weka.core.matrix.IntVector
Shifts an element to another position.
shiftBeans(BeanInstance, boolean) - Method in class weka.gui.beans.MetaBean
Move coords of all inputs and outputs of this meta bean to the coords of the supplied BeanInstance.
shiftRange(int, int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution
Shifts all instances in given range from one bag to another one.
shiftToEnd(int) - Method in class weka.core.matrix.IntVector
Shifts an element to the end of the vector.
SHORT - Static variable in class weka.experiment.DatabaseUtils
Type mapping for SHORT used for reading experiment results.
show(Component, int, int) - Method in class weka.gui.GenericObjectEditor.JTreePopupMenu
Displays the menu, making sure it will fit on the screen.
SHOW_GRID - Static variable in class weka.knowledgeflow.KFDefaults
 
SHOW_GRID_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
SHOW_JTREE_GLOBAL_INFO_TIPS - Static variable in class weka.knowledgeflow.KFDefaults
 
SHOW_JTREE_TIP_TEXT_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
showApplicationSettingsEditor(Settings, GUIApplication) - Static method in class weka.gui.SettingsEditor
Popup a settings editor for an application
showAttributes() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
displays all the attributes, returns the selected item or NULL if canceled
showAverageTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
showChart() - Method in class weka.gui.beans.StripChart
Popup the chart panel
showDialog(Component, String) - Method in class weka.gui.ConverterFileChooser
Pops a custom file chooser dialog with a custom approve button.
showDialog() - Method in class weka.gui.experiment.OutputFormatDialog
Pops up the modal dialog and waits for cancel or a selection.
showDialog() - Method in class weka.gui.ListSelectorDialog
Pops up the modal dialog and waits for cancel or a selection.
showDialog() - Method in class weka.gui.PropertySelectorDialog
Pops up the modal dialog and waits for cancel or a selection.
showDialog() - Method in class weka.gui.ViewerDialog
Pops up the modal dialog and waits for Cancel or OK.
showDialog(Instances) - Method in class weka.gui.ViewerDialog
Pops up the modal dialog and waits for Cancel or OK.
showErrorDialog(Exception) - Method in class weka.gui.AbstractGUIApplication
Popup a dialog displaying the supplied Exception
showErrorDialog(Exception) - Method in interface weka.gui.GUIApplication
Popup a dialog displaying the supplied Exception
showErrorDialog(Exception) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Popup an error dialog
showExplorer(String) - Method in class weka.gui.GUIChooserApp
 
showHistory() - Method in class weka.gui.sql.ConnectionPanel
displays the query history.
showHistory() - Method in class weka.gui.sql.QueryPanel
displays the query history.
showInfoDialog(Object, String, boolean) - Method in class weka.gui.AbstractGUIApplication
Popup an information dialog
showInfoDialog(Object, String, boolean) - Method in interface weka.gui.GUIApplication
Popup an information dialog
showInfoDialog(Object, String, boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
Popup an information dialog
showInformationBox(Component, String, String, int) - Static method in class weka.gui.ComponentHelper
displays a message box with the given title, message, buttons and icon ant the dimension.
showInputBox(Component, String, String, Object) - Static method in class weka.gui.ComponentHelper
pops up an input dialog
showKnowledgeFlow(String) - Method in class weka.gui.GUIChooserApp
 
showMemoryIsLow() - Method in class weka.core.Memory
Prints a warning message if memoryIsLow (and if GUI is present a dialog).
showMemoryIsLow() - Method in class weka.gui.knowledgeflow.MainKFPerspective
Print a warning if memory is low (and show a GUI dialog if running in a graphical environment)
showMenuBar(JFrame) - Method in class weka.gui.AbstractGUIApplication
Show the menu bar for the application
showMenuBar(JFrame) - Method in interface weka.gui.GUIApplication
Show the menu bar for the application
showMenuBar(JFrame) - Method in class weka.gui.PerspectiveManager
Tell the perspective manager to show the menu bar
showMessageBox(Component, String, String, int, int) - Static method in class weka.gui.ComponentHelper
displays a message box with the given title, message, buttons and icon ant the dimension.
showOpenDialog(Component) - Method in class weka.gui.ConverterFileChooser
Pops up an "Open File" file chooser dialog.
showOutOfMemory() - Method in class weka.core.Memory
prints an error message if OutOfMemory (and if GUI is present a dialog), otherwise nothing happens.
showPanel(ScriptingPanel, String[]) - Static method in class weka.gui.scripting.ScriptingPanel
Displays the panel in a frame.
showPanel(ScriptingPanel, String[], int, int) - Static method in class weka.gui.scripting.ScriptingPanel
Displays the panel in a frame.
showPerspectivesToolBar() - Method in class weka.gui.AbstractGUIApplication
Show the perspectives toolbar
showPerspectivesToolBar() - Method in interface weka.gui.GUIApplication
Show the perspectives toolbar
showPopup() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
if a JPopupMenu is set, it is displayed again.
showProperties() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
displays some properties of the instances
showPropertyDialog() - Method in class weka.gui.PropertyPanel
Displays the property edit dialog for the panel.
showResults() - Method in class weka.gui.beans.GraphViewer
Popup a result list from which the user can select a graph to view
showResults() - Method in class weka.gui.beans.TextViewer
Popup a component to display the selected text
showSaveDialog(Component) - Method in class weka.gui.ConverterFileChooser
Pops up an "Save File" file chooser dialog.
showSingleSettingsEditor(Settings, String, String, JComponent) - Static method in class weka.gui.SettingsEditor
Popup a single panel settings editor dialog for one group of related settings
showSingleSettingsEditor(Settings, String, String, JComponent, int, int) - Static method in class weka.gui.SettingsEditor
Popup a single panel settings editor dialog for one group of related settings
showStdDevTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
showTree() - Method in class weka.gui.HierarchyPropertyParser
Show the whole tree in text format
showValues() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
displays all the distinct values for an attribute
showWindow(Container) - Method in class weka.gui.Main
brings child frame to the top.
showWindow(Class<?>) - Method in class weka.gui.Main
brings the first frame to the top that is of the specified window class.
shrinkageTipText() - Method in class weka.classifiers.meta.AdditiveRegression
Returns the tip text for this property
shrinkageTipText() - Method in class weka.classifiers.meta.LogitBoost
Returns the tip text for this property
sigLevel - Variable in class weka.experiment.PairedStats
The significance level for comparisons
sigmaTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns the tip text for this property
sigmaTipText() - Method in class weka.classifiers.functions.supportVector.Puk
Returns the tip text for this property
SigmoidKernelType - Class in weka.core.pmml.jaxbbindings
Java class for SigmoidKernelType element declaration.
SigmoidKernelType() - Constructor for class weka.core.pmml.jaxbbindings.SigmoidKernelType
 
SigmoidUnit - Class in weka.classifiers.functions.neural
This can be used by the neuralnode to perform all it's computations (as a sigmoid unit).
SigmoidUnit() - Constructor for class weka.classifiers.functions.neural.SigmoidUnit
 
sign() - Method in class weka.core.matrix.DoubleVector
Returns the signs of all elements in terms of -1, 0 and +1.
SIGNIFICANCE_LOSS - Static variable in class weka.experiment.ResultMatrix
loss.
SIGNIFICANCE_TIE - Static variable in class weka.experiment.ResultMatrix
tie.
SIGNIFICANCE_WIN - Static variable in class weka.experiment.ResultMatrix
win.
significanceLevelTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
significanceLevelTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns the tip text for this property
significanceWidthTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
SimpleBatchFilter - Class in weka.filters
This filter is a superclass for simple batch filters.
SimpleBatchFilter() - Constructor for class weka.filters.SimpleBatchFilter
 
SimpleCLI - Class in weka.gui
Creates a very simple command line for invoking the main method of classes.
SimpleCLI() - Constructor for class weka.gui.SimpleCLI
Constructor.
SimpleCLIPanel - Class in weka.gui
Creates a very simple command line for invoking the main method of classes.
SimpleCLIPanel() - Constructor for class weka.gui.SimpleCLIPanel
 
SimpleCLIPanel.ClassRunner - Class in weka.gui
A class that handles running the main method of the class in a separate thread.
SimpleCLIPanel.CommandlineCompletion - Class in weka.gui
A class for commandline completion of classnames.
SimpleDateFormatEditor - Class in weka.gui
Class for editing SimpleDateFormat strings.
SimpleDateFormatEditor() - Constructor for class weka.gui.SimpleDateFormatEditor
Constructs a new SimpleDateFormatEditor.
SimpleEstimator - Class in weka.classifiers.bayes.net.estimate
SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been learned.
SimpleEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.SimpleEstimator
 
SimpleFilter - Class in weka.filters
This filter contains common behavior of the SimpleBatchFilter and the SimpleStreamFilter.
SimpleFilter() - Constructor for class weka.filters.SimpleFilter
 
SimpleKMeans - Class in weka.clusterers
Cluster data using the k means algorithm.
SimpleKMeans() - Constructor for class weka.clusterers.SimpleKMeans
the default constructor.
SimpleLinearRegression - Class in weka.classifiers.functions
Learns a simple linear regression model.
SimpleLinearRegression() - Constructor for class weka.classifiers.functions.SimpleLinearRegression
 
SimpleLinearRegression - Class in weka.classifiers.trees.lmt
Stripped down version of SimpleLinearRegression.
SimpleLinearRegression() - Constructor for class weka.classifiers.trees.lmt.SimpleLinearRegression
Default constructor.
SimpleLinearRegression(int, double, double) - Constructor for class weka.classifiers.trees.lmt.SimpleLinearRegression
Construct a simple linear regression model based on the given info.
SimpleLog() - Constructor for class weka.core.Debug.SimpleLog
default constructor, uses only stdout
SimpleLog(String) - Constructor for class weka.core.Debug.SimpleLog
Creates a logger that writes into the specified file.
SimpleLog(String, boolean) - Constructor for class weka.core.Debug.SimpleLog
Creates a logger that writes into the specified file.
SimpleLogger() - Constructor for class weka.gui.beans.FlowRunner.SimpleLogger
 
SimpleLogger() - Constructor for class weka.knowledgeflow.FlowRunner.SimpleLogger
 
SimpleLogistic - Class in weka.classifiers.functions
Classifier for building linear logistic regression models.
SimpleLogistic() - Constructor for class weka.classifiers.functions.SimpleLogistic
Constructor for creating SimpleLogistic object with standard options.
SimpleLogistic(int, boolean, boolean) - Constructor for class weka.classifiers.functions.SimpleLogistic
Constructor for creating SimpleLogistic object.
SimpleMatching - Class in weka.core.pmml.jaxbbindings
Java class for simpleMatching element declaration.
SimpleMatching() - Constructor for class weka.core.pmml.jaxbbindings.SimpleMatching
 
SimplePredicate - Class in weka.core.pmml.jaxbbindings
Java class for SimplePredicate element declaration.
SimplePredicate() - Constructor for class weka.core.pmml.jaxbbindings.SimplePredicate
 
SimpleRule - Class in weka.core.pmml.jaxbbindings
Java class for SimpleRule element declaration.
SimpleRule() - Constructor for class weka.core.pmml.jaxbbindings.SimpleRule
 
SimpleSetPredicate - Class in weka.core.pmml.jaxbbindings
Java class for SimpleSetPredicate element declaration.
SimpleSetPredicate() - Constructor for class weka.core.pmml.jaxbbindings.SimpleSetPredicate
 
SimpleSetupPanel - Class in weka.gui.experiment
This panel controls the configuration of an experiment.
SimpleSetupPanel(Experiment) - Constructor for class weka.gui.experiment.SimpleSetupPanel
Creates the setup panel with the supplied initial experiment.
SimpleSetupPanel() - Constructor for class weka.gui.experiment.SimpleSetupPanel
Creates the setup panel with no initial experiment.
SimpleStreamFilter - Class in weka.filters
This filter is a superclass for simple stream filters.
SimpleStreamFilter() - Constructor for class weka.filters.SimpleStreamFilter
 
SimpleVariableDeclarations - Class in weka.core.expressionlanguage.common
A set of customizable variable declarations for primitive types.
SimpleVariableDeclarations() - Constructor for class weka.core.expressionlanguage.common.SimpleVariableDeclarations
 
SimpleVariableDeclarations.VariableInitializer - Class in weka.core.expressionlanguage.common
A class to initialize variables that have been declared by a SimpleVariableDeclarations class and used inside a program
SimulatedAnnealing - Class in weka.classifiers.bayes.net.search.global
This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.

For more information see:

R.R.
SimulatedAnnealing() - Constructor for class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
SimulatedAnnealing - Class in weka.classifiers.bayes.net.search.local
This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.

For more information see:

R.R.
SimulatedAnnealing() - Constructor for class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
SINE - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
Constant set for choice of pattern.
SingleAssociatorEnhancer - Class in weka.associations
Abstract utility class for handling settings common to meta associators that use a single base associator.
SingleAssociatorEnhancer() - Constructor for class weka.associations.SingleAssociatorEnhancer
 
SingleClassifierEnhancer - Class in weka.classifiers
Abstract utility class for handling settings common to meta classifiers that use a single base learner.
SingleClassifierEnhancer() - Constructor for class weka.classifiers.SingleClassifierEnhancer
 
SingleClustererEnhancer - Class in weka.clusterers
Meta-clusterer for enhancing a base clusterer.
SingleClustererEnhancer() - Constructor for class weka.clusterers.SingleClustererEnhancer
 
SingleIndex - Class in weka.core
Class representing a single cardinal number.
SingleIndex() - Constructor for class weka.core.SingleIndex
Default constructor.
SingleIndex(String) - Constructor for class weka.core.SingleIndex
Constructor to set initial index.
SingleSettingsEditor(Map<Settings.SettingKey, Object>) - Constructor for class weka.gui.SettingsEditor.SingleSettingsEditor
 
SingleThreadedExecution - Annotation Type in weka.knowledgeflow
Class annotation that can be used to indicate that something should be executed in a non-parallel manner - i.e.
singletons(Instances, boolean) - Static method in class weka.associations.AprioriItemSet
Converts the header info of the given set of instances into a set of item sets (singletons).
singletons(Instances) - Static method in class weka.associations.ItemSet
Converts the header info of the given set of instances into a set of item sets (singletons).
singletons(Instances, Instances) - Static method in class weka.associations.LabeledItemSet
Converts the header info of the given set of instances into a set of item sets (singletons).
SINGULAR_DUMMY - Static variable in interface weka.gui.graphvisualizer.GraphConstants
SINGULAR_DUMMY node - node with only one outgoing edge i.e.
SingularValueDecomposition - Class in weka.core.matrix
Singular Value Decomposition.
SingularValueDecomposition(Matrix) - Constructor for class weka.core.matrix.SingularValueDecomposition
Construct the singular value decomposition
size() - Method in class weka.classifiers.CostMatrix
The number of rows (and columns)
size() - Method in class weka.classifiers.evaluation.ConfusionMatrix
Gets the number of classes.
size() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
Returns the number of keys in this hashtable.
size() - Method in class weka.classifiers.rules.JRip.RipperRule
the number of antecedents of the rule
size() - Method in class weka.classifiers.rules.Rule
The size of the rule.
size() - Method in class weka.core.Instances
Returns the number of instances in the dataset.
size() - Method in class weka.core.matrix.DoubleVector
Gets the size of the vector.
size() - Method in class weka.core.matrix.IntVector
Gets the size of the vector.
size() - Method in class weka.core.PropertyPath.Path
returns the number of path elements of this structure
size() - Method in class weka.core.Queue
Gets queue's size.
size() - Method in class weka.core.Tee
returns the number of streams currently in the list.
size() - Method in class weka.core.Trie
Returns the number of elements in this collection.
size() - Method in class weka.core.Trie.TrieNode
returns the number of stored strings, i.e., leaves
size() - Method in class weka.core.xml.MethodHandler
returns the number of currently stored Methods
size() - Method in class weka.gui.GenericObjectEditorHistory
Returns the number of entries in the history.
size() - Method in class weka.knowledgeflow.Flow
Get the number of steps in this flow
sizeOfPredictedRegions() - Method in class weka.classifiers.evaluation.Evaluation
Gets the average size of the predicted regions, relative to the range of the target in the training data, at the confidence level specified when evaluation was performed.
sizeOfPredictedRegions() - Method in class weka.classifiers.Evaluation
Gets the average size of the predicted regions, relative to the range of the target in the training data, at the confidence level specified when evaluation was performed.
skipIdenticalTipText() - Method in class weka.core.neighboursearch.LinearNNSearch
Returns the tip text for this property.
SlidingMidPointOfWidestSide - Class in weka.core.neighboursearch.kdtrees
The class that splits a node into two based on the midpoint value of the dimension in which the node's rectangle is widest.
SlidingMidPointOfWidestSide() - Constructor for class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
 
sm(double, double) - Static method in class weka.core.Utils
Tests if a is smaller than b.
SMALL - Static variable in class weka.core.Utils
The small deviation allowed in double comparisons.
SMO - Class in weka.classifiers.functions
Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.

This implementation globally replaces all missing values and transforms nominal attributes into binary ones.
SMO() - Constructor for class weka.classifiers.functions.SMO
 
SMO.BinarySMO - Class in weka.classifiers.functions
Class for building a binary support vector machine.
SMOreg - Class in weka.classifiers.functions
SMOreg implements the support vector machine for regression.
SMOreg() - Constructor for class weka.classifiers.functions.SMOreg
 
smOrEq(double, double) - Static method in class weka.core.Utils
Tests if a is smaller or equal to b.
SMOset - Class in weka.classifiers.functions.supportVector
Stores a set of integer of a given size.
SMOset(int) - Constructor for class weka.classifiers.functions.supportVector.SMOset
Creates a new set of the given size.
SNAPSHOT - Static variable in class weka.core.Version
True if snapshot
SnowballStemmer - Class in weka.core.stemmers
A wrapper class for the Snowball stemmers.
SnowballStemmer() - Constructor for class weka.core.stemmers.SnowballStemmer
initializes the stemmer ("porter").
SnowballStemmer(String) - Constructor for class weka.core.stemmers.SnowballStemmer
initializes the stemmer with the given stemmer.
solve(Matrix) - Method in class weka.core.matrix.CholeskyDecomposition
Solve A*X = B
solve(Matrix) - Method in class weka.core.matrix.LUDecomposition
Solve A*X = B
solve(Matrix) - Method in class weka.core.matrix.Matrix
Solve A*X = B
solve(Matrix) - Method in class weka.core.matrix.QRDecomposition
Least squares solution of A*X = B
solve(double[]) - Method in class weka.core.Matrix
Deprecated.
Solve A*X = B using backward substitution.
solveTranspose(Matrix) - Method in class weka.core.matrix.Matrix
Solve X*A = B, which is also A'*X' = B'
solveTriangle(Matrix, double[], boolean, boolean[]) - Static method in class weka.core.Optimization
Solve the linear equation of TX=B where T is a triangle matrix It can be solved using back/forward substitution, with O(N^2) complexity
sort(int) - Method in class weka.core.Instances
Sorts the instances based on an attribute.
sort(Attribute) - Method in class weka.core.Instances
Sorts the instances based on an attribute.
sort() - Method in class weka.core.matrix.DoubleVector
Sorts the array in place
sort() - Method in class weka.core.matrix.IntVector
Sorts the elements in place
sort(int[]) - Static method in class weka.core.Utils
Sorts a given array of integers in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sort(double[]) - Static method in class weka.core.Utils
Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sort(int, boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sorts the table over the given column, either ascending or descending
sort(int) - Method in class weka.gui.SortedTableModel
sorts the table over the given column (ascending)
sort(int, boolean) - Method in class weka.gui.SortedTableModel
sorts the table over the given column, either ascending or descending
SORT_CASEINSENSITIVE - Static variable in class weka.filters.unsupervised.attribute.SortLabels
sorts the strings case-insensitive.
SORT_CASESENSITIVE - Static variable in class weka.filters.unsupervised.attribute.SortLabels
sorts the strings case-sensitive.
sortClassesByRoot(String) - Static method in class weka.gui.GenericObjectEditor
parses the given string of classes separated by ", " and returns the a hashtable with as many entries as there are different root elements in the class names (the key is the root element).
SortContainer(Comparable<?>, int) - Constructor for class weka.gui.SortedTableModel.SortContainer
Initializes the container.
sortDictionaryTipText() - Method in class weka.core.DictionaryBuilder
Tip text for this property
SortedTableModel - Class in weka.gui
Represents a TableModel with sorting functionality.
SortedTableModel() - Constructor for class weka.gui.SortedTableModel
initializes with no model
SortedTableModel(TableModel) - Constructor for class weka.gui.SortedTableModel
initializes with the given model
SortedTableModel.SortContainer - Class in weka.gui
Helper class for sorting the columns.
Sorter - Class in weka.gui.beans
Sorts incoming instances in ascending or descending order according to the values of user specified attributes.
Sorter() - Constructor for class weka.gui.beans.Sorter
Constructs a new Sorter
Sorter - Class in weka.knowledgeflow.steps
Step for sorting instances according to one or more attributes.
Sorter() - Constructor for class weka.knowledgeflow.steps.Sorter
 
Sorter.SortRule - Class in weka.knowledgeflow.steps
Implements a sorting rule based on a single attribute
SorterBeanInfo - Class in weka.gui.beans
BeanInfo class for the Sorter step
SorterBeanInfo() - Constructor for class weka.gui.beans.SorterBeanInfo
 
SorterCustomizer - Class in weka.gui.beans
Customizer for the Sorter step
SorterCustomizer() - Constructor for class weka.gui.beans.SorterCustomizer
Constructor
SorterStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the Sorter step
SorterStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SorterStepEditorDialog
 
sortInstances() - Method in class weka.gui.arffviewer.ArffPanel
sorts the instances via the currently selected column
sortInstances(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sorts the instances via the given attribute
sortInstances(int, boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
sorts the instances via the given attribute
sortInstances(int) - Method in class weka.gui.arffviewer.ArffTableModel
sorts the instances via the given attribute (ascending)
sortInstances(int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
sorts the instances via the given attribute
sortInstances() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
sorts the current selected attribute
SortLabels - Class in weka.filters.unsupervised.attribute
A simple filter for sorting the labels of nominal attributes.
SortLabels() - Constructor for class weka.filters.unsupervised.attribute.SortLabels
 
SortLabels.CaseInsensitiveComparator - Class in weka.filters.unsupervised.attribute
Represents a case-insensitive comparator for two strings.
SortLabels.CaseSensitiveComparator - Class in weka.filters.unsupervised.attribute
Represents a case-sensitive comparator for two strings.
SortRule(String, boolean) - Constructor for class weka.knowledgeflow.steps.Sorter.SortRule
Constructor
SortRule() - Constructor for class weka.knowledgeflow.steps.Sorter.SortRule
Constructor
SortRule(String) - Constructor for class weka.knowledgeflow.steps.Sorter.SortRule
Constructor
sortTipText() - Method in class weka.filters.unsupervised.attribute.AddValues
Returns the tip text for this property
sortTypeTipText() - Method in class weka.filters.unsupervised.attribute.SortLabels
Returns the tip text for this property.
sortWithIndex() - Method in class weka.core.matrix.DoubleVector
Sorts the array in place with index returned
sortWithIndex(int, int, IntVector) - Method in class weka.core.matrix.DoubleVector
Sorts the array in place with index changed
sortWithNoMissingValues(double[]) - Static method in class weka.core.Utils
Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
Sourcable - Interface in weka.classifiers
Interface for classifiers that can be converted to Java source.
Sourcable - Interface in weka.filters
Interface for filters that can be converted to Java source.
sourceClass(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
 
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.C45Split
Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
 
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NoSplit
Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
Method not in use
SOUTH_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
 
spaceHorizontal(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
space out set of nodes evenly between left and right most node in the list
spaceVertical(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
space out set of nodes evenly between top and bottom most node in the list
SPARSE - Static variable in class weka.core.json.JSONInstances
the sparse attribute.
SPARSE1 - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
distribution type: sparse 1
SPARSE2 - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
distribution type: sparse 2
SPARSE_SEPARATOR - Static variable in class weka.core.json.JSONInstances
the separator for index/value in case of sparse instances.
SparseArray - Class in weka.core.pmml
Implementation of a sparse array.
sparseDataTipText() - Method in class weka.core.converters.DatabaseLoader
Returns the tip text for this property
sparseDataTipText() - Method in class weka.experiment.InstanceQuery
Returns the tip text for this property
sparseIndices() - Method in class weka.classifiers.functions.SMO
Returns the indices in sparse format.
SparseInstance - Class in weka.core
Class for storing an instance as a sparse vector.
SparseInstance(Instance) - Constructor for class weka.core.SparseInstance
Constructor that generates a sparse instance from the given instance.
SparseInstance(SparseInstance) - Constructor for class weka.core.SparseInstance
Constructor that copies the info from the given instance.
SparseInstance(double, double[]) - Constructor for class weka.core.SparseInstance
Constructor that generates a sparse instance from the given parameters.
SparseInstance(double, double[], int[], int) - Constructor for class weka.core.SparseInstance
Constructor that initializes instance variable with given values.
SparseInstance(int) - Constructor for class weka.core.SparseInstance
Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.
SparseToNonSparse - Class in weka.filters.unsupervised.instance
An instance filter that converts all incoming sparse instances into non-sparse format.
SparseToNonSparse() - Constructor for class weka.filters.unsupervised.instance.SparseToNonSparse
 
sparseWeights() - Method in class weka.classifiers.functions.SMO
Returns the weights in sparse format.
SpecialFunctions - Class in weka.core
Class implementing some mathematical functions.
SpecialFunctions() - Constructor for class weka.core.SpecialFunctions
 
sphere - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
used/reused to hold the sphere size
splash(Image, List<String>) - Static method in class weka.gui.SplashWindow
Open's a splash window using the specified image.
splash(URL) - Static method in class weka.gui.SplashWindow
Open's a splash window using the specified image.
splash(URL, List<String>) - Static method in class weka.gui.SplashWindow
Open's a splash window using the specified image and message
SplashWindow - Class in weka.gui
A Splash window.
Split - Class in weka.classifiers.trees.ht
Base class for different split types
Split() - Constructor for class weka.classifiers.trees.ht.Split
 
split(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Splits the given set of instances into subsets.
split() - Method in class weka.classifiers.trees.m5.RuleNode
Finds an attribute and split point for this node
splitAtt() - Method in class weka.classifiers.trees.m5.RuleNode
Get the index of the splitting attribute for this node
splitAttr() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
Returns the attribute used in this split
splitAttr() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
Returns the attribute used in this split
splitAttr() - Method in class weka.classifiers.trees.m5.YongSplitInfo
Returns the attribute used in this split
splitAttributes() - Method in class weka.classifiers.trees.ht.Split
 
SplitCandidate - Class in weka.classifiers.trees.ht
Encapsulates a candidate split
SplitCandidate(Split, List<Map<String, WeightMass>>, double) - Constructor for class weka.classifiers.trees.ht.SplitCandidate
Constructor
splitConfidenceTipText() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the tip text for this property
SplitCriterion - Class in weka.classifiers.trees.j48
Abstract class for computing splitting criteria with respect to distributions of class values.
SplitCriterion() - Constructor for class weka.classifiers.trees.j48.SplitCriterion
 
splitCriterionTipText() - Method in class weka.classifiers.trees.HoeffdingTree
Returns the tip text for this property
splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.EntropySplitCrit
Computes entropy for given distribution.
splitCritValue(Distribution, Distribution) - Method in class weka.classifiers.trees.j48.EntropySplitCrit
Computes entropy of test distribution with respect to training distribution.
splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
This method is a straightforward implementation of the gain ratio criterion for the given distribution.
splitCritValue(Distribution, double, double) - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
This method computes the gain ratio in the same way C4.5 does.
splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
This method is a straightforward implementation of the information gain criterion for the given distribution.
splitCritValue(Distribution, double) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
This method computes the information gain in the same way C4.5 does.
splitCritValue(Distribution, double, double) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
This method computes the information gain in the same way C4.5 does.
splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
Computes result of splitting criterion for given distribution.
splitCritValue(Distribution, Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
Computes result of splitting criterion for given training and test distributions.
splitCritValue(Distribution, Distribution, int) - Method in class weka.classifiers.trees.j48.SplitCriterion
Computes result of splitting criterion for given training and test distributions and given number of classes.
splitCritValue(Distribution, Distribution, Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
Computes result of splitting criterion for given training and test distributions and given default distribution.
splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.Antd
 
splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.NominalAntd
Implements the splitData function.
splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.NumericAntd
Implements the splitData function.
splitEnt(Distribution) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
Computes entropy after splitting without considering the class values.
SplitEvaluate - Interface in weka.classifiers.trees.m5
Interface for objects that determine a split point on an attribute
SplitEvaluator - Interface in weka.experiment
Interface to objects able to generate a fixed set of results for a particular split of a dataset.
splitEvaluatorTipText() - Method in class weka.experiment.CrossValidationResultProducer
Returns the tip text for this property
splitEvaluatorTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
splitEvaluatorTipText() - Method in class weka.experiment.RandomSplitResultProducer
Returns the tip text for this property
SplitMetric - Class in weka.classifiers.trees.ht
Base class for split metrics
SplitMetric() - Constructor for class weka.classifiers.trees.ht.SplitMetric
 
SplitNode - Class in weka.classifiers.trees.ht
Class for a node that splits the data in a Hoeffding tree
SplitNode(Map<String, WeightMass>, Split) - Constructor for class weka.classifiers.trees.ht.SplitNode
Construct a new SplitNode
splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
Splits a node into two.
splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
Splits a ball into two.
splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
Splits a ball into two.
splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
Splits a ball into two.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Splits a node into two.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
Splits a node into two such that the overall sum of squared distances of points to their centres on both sides of the (axis-parallel) splitting plane is minimum.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
Splits a node into two based on the median value of the dimension in which the points have the widest spread.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
Splits a node into two based on the midpoint value of the dimension in which the points have the widest spread.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
Splits a node into two based on the midpoint value of the dimension in which the node's rectangle is widest.
splitOnResidualsTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
splitOptions(String) - Static method in class weka.core.Utils
Split up a string containing options into an array of strings, one for each option.
splitOptions(String, String[], char[]) - Static method in class weka.core.Utils
Split up a string containing options into an array of strings, one for each option.
splitPercentageTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
splitPercentTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
splitPoint() - Method in class weka.classifiers.trees.j48.BinC45Split
Returns the split point (numeric attribute only).
splitPoint() - Method in class weka.classifiers.trees.j48.C45Split
Returns the split point (numeric attribute only).
splitPointTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
Returns the tip text for this property
splitVal() - Method in class weka.classifiers.trees.m5.RuleNode
Get the split point for this node
splitValue() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
Returns the split value
splitValue() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
Returns the split value
splitValue() - Method in class weka.classifiers.trees.m5.YongSplitInfo
Returns the split value
spreadAttributeWeightTipText() - Method in class weka.filters.supervised.attribute.Discretize
Returns the tip text for this property
spreadAttributeWeightTipText() - Method in class weka.filters.supervised.attribute.NominalToBinary
Returns the tip text for this property
spreadAttributeWeightTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
spreadAttributeWeightTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns the tip text for this property
spreadInitialCountTipText() - Method in class weka.classifiers.trees.REPTree
Returns the tip text for this property
SpreadSubsample - Class in weka.filters.supervised.instance
Produces a random subsample of a dataset.
SpreadSubsample() - Constructor for class weka.filters.supervised.instance.SpreadSubsample
 
sqDifference(int, double, double) - Method in class weka.core.EuclideanDistance
Returns the squared difference of two values of an attribute.
SqlViewer - Class in weka.gui.sql
Represents a little tool for querying SQL databases.
SqlViewer(JFrame) - Constructor for class weka.gui.sql.SqlViewer
initializes the SqlViewer.
SqlViewerDialog - Class in weka.gui.sql
A little dialog containing the SqlViewer.
SqlViewerDialog(JFrame) - Constructor for class weka.gui.sql.SqlViewerDialog
initializes the dialog.
SQLViewerPerspective - Class in weka.gui.beans
Simple Knowledge Flow perspective that wraps the SqlViewer class
SQLViewerPerspective() - Constructor for class weka.gui.beans.SQLViewerPerspective
Constructor
SQLViewerPerspective - Class in weka.gui.knowledgeflow
Perspective that wraps the {@code SQLViewer) component
SQLViewerPerspective() - Constructor for class weka.gui.knowledgeflow.SQLViewerPerspective
Constructor
sqrt() - Method in class weka.core.matrix.DoubleVector
Returns the square-root of all the elements in the vector
sqrt() - Method in class weka.core.matrix.Matrix
returns the square root of the matrix, i.e., X from the equation X*X = A.
Steps in the Calculation (see sqrtm in Matlab):
perform eigenvalue decomposition
[V,D]=eig(A) take the square root of all elements in D (only the ones with positive sign are considered for further computation)
S=sqrt(D) calculate the root
X=V*S/V, which can be also written as X=(V'\(V*S)')'

Note: since this method uses other high-level methods, it generates several instances of matrices.

square() - Method in class weka.core.matrix.DoubleVector
Returns the squared vector
square(double) - Static method in class weka.core.matrix.Maths
Returns the square of a value
SquaredEuclidean - Class in weka.core.pmml.jaxbbindings
Java class for squaredEuclidean element declaration.
SquaredEuclidean() - Constructor for class weka.core.pmml.jaxbbindings.SquaredEuclidean
 
SQUAREDLOSS - Static variable in class weka.classifiers.functions.SGD
the squared loss function.
src - Variable in class weka.gui.graphvisualizer.GraphEdge
The index of source node in Nodes vector
srcLbl - Variable in class weka.gui.graphvisualizer.GraphEdge
Label of source node
stableSort(int) - Method in class weka.core.Instances
Sorts the instances based on an attribute, using a stable sort.
stableSort(Attribute) - Method in class weka.core.Instances
Sorts the instances based on an attribute, using a stable sort.
stableSort(double[]) - Static method in class weka.core.Utils
Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
Stack<T> - Class in weka.core.neighboursearch.covertrees
Class implementing a stack.
Stack() - Constructor for class weka.core.neighboursearch.covertrees.Stack
Constructor.
Stack(int) - Constructor for class weka.core.neighboursearch.covertrees.Stack
Constructor.
Stacking - Class in weka.classifiers.meta
Combines several classifiers using the stacking method.
Stacking() - Constructor for class weka.classifiers.meta.Stacking
 
stackTraceToString(Throwable) - Static method in class weka.knowledgeflow.LogManager
Utility method to convert a stack trace to a String
StandardEvaluationMetric - Interface in weka.classifiers.evaluation
Primarily a marker interface for a "standard" evaluation metric - i.e.
Standardize - Class in weka.filters.unsupervised.attribute
Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set).
Standardize() - Constructor for class weka.filters.unsupervised.attribute.Standardize
 
start() - Method in class weka.core.Debug.Clock
saves the current system time (or CPU time) in msec as start time
start() - Method in class weka.gui.beans.Loader
Start loading
start() - Method in class weka.gui.beans.MetaBean
 
start() - Method in interface weka.gui.beans.Startable
Start the flow running
start() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Start the plotting thread
start() - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
Start processing
start(String[]) - Method in class weka.gui.scripting.Script
Executes the script.
start() - Method in class weka.knowledgeflow.steps.BaseStep
Start processing.
start() - Method in interface weka.knowledgeflow.steps.BaseStepExtender
Start executing (if this component is a start point).
start() - Method in class weka.knowledgeflow.steps.DataGenerator
Start the data generation process.
start() - Method in class weka.knowledgeflow.steps.DataGrid
Start processing
start() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Start processing if operating as a start point in a flow
start() - Method in class weka.knowledgeflow.steps.GetDataFromResult
 
start() - Method in class weka.knowledgeflow.steps.Job
 
start() - Method in class weka.knowledgeflow.steps.Loader
Start executing
start() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
Start processing
start() - Method in interface weka.knowledgeflow.steps.Step
Start executing (if this component is a start point)
start_production() - Method in class weka.core.expressionlanguage.parser.Parser
Indicates start production.
start_production() - Method in class weka.core.json.Parser
Indicates start production.
start_state() - Method in class weka.core.expressionlanguage.parser.Parser
Indicates start state.
start_state() - Method in class weka.core.json.Parser
Indicates start state.
Startable - Interface in weka.gui.beans
Interface to something that is a start point for a flow and can be launched programatically.
startApp() - Static method in class weka.gui.beans.KnowledgeFlow
Static method that can be called from a running program to launch the KnowledgeFlow
startClock() - Method in class weka.core.Debug
starts the clock
startLoading() - Method in class weka.gui.beans.Loader
Start loading data
startPlotThread() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Starts the plotting thread.
StartSetHandler - Interface in weka.attributeSelection
Interface for search methods capable of doing something sensible given a starting set of attributes.
startSetTipText() - Method in class weka.attributeSelection.BestFirst
Returns the tip text for this property
startSetTipText() - Method in class weka.attributeSelection.GreedyStepwise
Returns the tip text for this property
startSetTipText() - Method in class weka.attributeSelection.Ranker
Returns the tip text for this property
startThread(SimpleCLIPanel.ClassRunner) - Method in class weka.gui.SimpleCLIPanel
Starts the thread.
startupCheck(boolean, PrintStream...) - Static method in class weka.core.WekaPackageManager
 
startUpComplete() - Method in interface weka.gui.beans.StartUpListener
 
StartUpListener - Interface in weka.gui.beans
Interface to something that can be notified of a successful startup
stateChanged(ChangeEvent) - Method in class weka.gui.arffviewer.ArffPanel
Invoked when the target of the listener has changed its state.
stateChanged(ChangeEvent) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
Invoked when the target of the listener has changed its state.
stateChanged(ChangeEvent) - Method in class weka.gui.LogWindow
Invoked when the target of the listener has changed its state.
stateChanged(ChangeEvent) - Method in class weka.gui.sql.ResultPanel
Invoked when the target of the listener has changed its state.
stateChanged(ChangeEvent) - Method in class weka.gui.ViewerDialog
Invoked when the target of the listener has changed its state.
statisticIsMaximisable(String) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
True if the optimum value of the named metric is a maximum value; false if the optimim value is a minimum value.
Statistics - Class in weka.core
Class implementing some distributions, tests, etc.
Statistics() - Constructor for class weka.core.Statistics
 
Stats - Class in weka.classifiers.trees.j48
Class implementing a statistical routine needed by J48 to compute its error estimate.
Stats() - Constructor for class weka.classifiers.trees.j48.Stats
 
Stats - Class in weka.experiment
A class to store simple statistics.
Stats() - Constructor for class weka.experiment.Stats
 
StatsHelper - Class in weka.core.expressionlanguage.weka
A helper class to expose a Stats object to a program
StatsHelper() - Constructor for class weka.core.expressionlanguage.weka.StatsHelper
Construct a StatsHelper
statusFrequencyTipText() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Return a tip text string for this property
statusFrequencyTipText() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Return a tip text string for this property
statusMessage(String) - Method in class weka.gui.beans.FlowRunner.SimpleLogger
 
statusMessage(String) - Method in class weka.gui.beans.LogPanel
Sends the supplied message to the status area.
statusMessage(String) - Method in interface weka.gui.Logger
Sends the supplied message to the status line.
statusMessage(String) - Method in class weka.gui.LogPanel
Sends the supplied message to the status line.
statusMessage(String) - Method in class weka.gui.SysErrLog
Sends the supplied message to the status line.
statusMessage(String) - Method in class weka.knowledgeflow.FlowRunner.SimpleLogger
 
statusMessage(String) - Method in class weka.knowledgeflow.LogManager
Output a status message
statusMessage(String) - Method in interface weka.knowledgeflow.StepManager
Write a status message
statusMessage(String) - Method in class weka.knowledgeflow.StepManagerImpl
Output a status message to the status area of the log
stdDev - Variable in class weka.experiment.Stats
The std deviation of values at the last calculateDerived() call
stdDevPrecTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
stdDevWidthTipText() - Method in class weka.experiment.ResultMatrix
Returns the tip text for this property.
stealPoints(MiddleOutConstructor.TempNode, Vector<MiddleOutConstructor.TempNode>, Vector<double[]>) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
Removes points from old anchors that are nearer to the given new anchor and adds them to the list of points of the new anchor.
stem(String) - Method in class weka.core.stemmers.IteratedLovinsStemmer
Iterated stemming of the given word.
stem(String) - Method in class weka.core.stemmers.LovinsStemmer
Returns the stemmed version of the given word.
stem(String) - Method in class weka.core.stemmers.NullStemmer
Returns the word as it is.
stem(String) - Method in class weka.core.stemmers.SnowballStemmer
Returns the word in its stemmed form.
stem(String) - Method in interface weka.core.stemmers.Stemmer
Stems the given word and returns the stemmed version
Stemmer - Interface in weka.core.stemmers
Interface for all stemming algorithms.
stemmerTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property.
stemmerTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property.
stemmerTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
stemmerTipText() - Method in class weka.core.stemmers.SnowballStemmer
Returns the tip text for this property.
stemmerTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
Stemming - Class in weka.core.stemmers
A helper class for using the stemmers.
Stemming() - Constructor for class weka.core.stemmers.Stemming
 
stemString(String) - Method in class weka.core.stemmers.LovinsStemmer
Stems everything in the given string.
Step - Interface in weka.knowledgeflow.steps
Client API for Knowledge Flow steps.
STEP_EXECUTOR_SERVICE_NUM_THREADS - Static variable in class weka.knowledgeflow.BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults
 
STEP_EXECUTOR_SERVICE_NUM_THREADS_KEY - Static variable in class weka.knowledgeflow.BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults
 
STEP_FIELD_NAME - Static variable in class weka.experiment.LearningRateResultProducer
The name of the key field containing the learning rate step number
STEP_LABEL_FONT_SIZE - Static variable in class weka.knowledgeflow.KFDefaults
 
STEP_LABEL_FONT_SIZE_KEY - Static variable in class weka.knowledgeflow.KFDefaults
 
StepEditorDialog - Class in weka.gui.knowledgeflow
Base class for step editor dialogs.
StepEditorDialog() - Constructor for class weka.gui.knowledgeflow.StepEditorDialog
Constructor
StepEditorDialog.ClosingListener - Interface in weka.gui.knowledgeflow
Interface for those that want to be notified when this dialog closes
stepInit() - Method in class weka.knowledgeflow.steps.AlterRelationName
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.Appender
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.ASEvaluator
Initialize at the start of a run
stepInit() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.Associator
Initializes the step
stepInit() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
 
stepInit() - Method in interface weka.knowledgeflow.steps.BaseStepExtender
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.Block
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.ClassAssigner
Initialize the step prior to execution
stepInit() - Method in class weka.knowledgeflow.steps.Classifier
 
stepInit() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
stepInit() - Method in class weka.knowledgeflow.steps.ClassValuePicker
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.Clusterer
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.DataGenerator
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.DataGrid
Initialize the step;
stepInit() - Method in class weka.knowledgeflow.steps.DataVisualizer
 
stepInit() - Method in class weka.knowledgeflow.steps.Dummy
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.ExecuteProcess
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.Filter
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.FlowByExpression
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.GetDataFromResult
 
stepInit() - Method in class weka.knowledgeflow.steps.ImageSaver
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.ImageViewer
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.Job
 
stepInit() - Method in class weka.knowledgeflow.steps.Join
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.Loader
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.Note
Initialize - does nothing in the case of a note :-)
stepInit() - Method in class weka.knowledgeflow.steps.PredictionAppender
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.Saver
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.SendToPerspective
 
stepInit() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.SetPropertiesFromEnvironment
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.SetVariables
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.Sorter
Initialize the step.
stepInit() - Method in interface weka.knowledgeflow.steps.Step
Initialize the step.
stepInit() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
stepInit() - Method in class weka.knowledgeflow.steps.StripChart
 
stepInit() - Method in class weka.knowledgeflow.steps.SubstringLabeler
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.SubstringReplacer
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.TestSetMaker
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.TextSaver
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.TextViewer
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.TrainingSetMaker
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
Initialize the step
stepInit() - Method in class weka.knowledgeflow.steps.WriteDataToResult
 
stepInit() - Method in class weka.knowledgeflow.steps.WriteWekaLog
Initialize the step
StepInjectorFlowRunner - Class in weka.knowledgeflow
A flow runner that runs a flow by injecting data into a target step
StepInjectorFlowRunner() - Constructor for class weka.knowledgeflow.StepInjectorFlowRunner
 
StepInteractiveViewer - Interface in weka.gui.knowledgeflow
Interface for GUI interactive viewer components that can be popped up from the contextual menu in the Knowledge Flow that appears when you right-click over a step on the layout.
stepIsResourceIntensive() - Method in interface weka.knowledgeflow.StepManager
Returns true if the step managed by this step manager has been marked as being resource (cpu/memory) intensive.
stepIsResourceIntensive() - Method in class weka.knowledgeflow.StepManagerImpl
Get whether the managed step is resource (cpu/memory) intensive or not
StepManager - Interface in weka.knowledgeflow
Client public interface for the StepManager.
StepManagerImpl - Class in weka.knowledgeflow
Concrete implementation of the StepManager interface.
StepManagerImpl(Step) - Constructor for class weka.knowledgeflow.StepManagerImpl
Constructor
stepMustRunSingleThreaded() - Method in class weka.knowledgeflow.steps.BaseStep
Get whether this step must run single threaded.
StepOutputListener - Interface in weka.knowledgeflow
Inteface to something that listens to the output from a Step
STEPS - Static variable in class weka.knowledgeflow.JSONFlowUtils
 
stepSizeTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
stepSizeTipText() - Method in class weka.experiment.LearningRateResultProducer
Returns the tip text for this property
stepStatusMessagePrefix() - Method in class weka.knowledgeflow.StepManagerImpl
Gets a prefix for the step managed by this manager.
StepTask<T> - Class in weka.knowledgeflow
A task that can be executed by the ExecutionEnvironment's submitTask() service.
StepTask(Step) - Constructor for class weka.knowledgeflow.StepTask
Constructor.
StepTask(Step, boolean) - Constructor for class weka.knowledgeflow.StepTask
Constructor.
StepTask(Step, StepTaskCallback<T>) - Constructor for class weka.knowledgeflow.StepTask
Constructor with supplied callback.
StepTask(Step, StepTaskCallback<T>, boolean) - Constructor for class weka.knowledgeflow.StepTask
Constructor with supplied callback.
StepTaskCallback<T> - Interface in weka.knowledgeflow
Callback that Steps can use when executing StepTasks via EnvironmentManager.submitTask().
StepTree - Class in weka.gui.knowledgeflow
Subclass of JTree for displaying available steps.
StepTree(MainKFPerspective) - Constructor for class weka.gui.knowledgeflow.StepTree
Constructor
StepTreeIgnore - Annotation Type in weka.gui.knowledgeflow
Marker annotation.
StepTreeLeafDetails - Class in weka.gui.knowledgeflow
Maintains information about a step in the StepTree - e.g.
StepTreeLeafDetails(Object) - Constructor for class weka.gui.knowledgeflow.StepTreeLeafDetails
Constructor
StepTreeLeafDetails(Object, boolean) - Constructor for class weka.gui.knowledgeflow.StepTreeLeafDetails
Constructor
StepVisual - Class in weka.gui.knowledgeflow
Class for managing the appearance of a step in the GUI Knowledge Flow environment.
stirlingFormula(double) - Static method in class weka.core.Statistics
Returns the Gamma function computed by Stirling's formula.
stop() - Method in class weka.core.Debug.Clock
saves the current system (or CPU time) in msec as stop time
STOP - Static variable in class weka.core.Trie.TrieNode
the stop character
stop() - Method in class weka.gui.beans.AbstractDataSink
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.AbstractEvaluator
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.AbstractTestSetProducer
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.AbstractTrainingSetProducer
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.Appender
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.Associator
Stop any associator action
stop() - Method in interface weka.gui.beans.BeanCommon
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.ClassAssigner
 
stop() - Method in class weka.gui.beans.Classifier
Stop any classifier action
stop() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
Try and stop any action
stop() - Method in class weka.gui.beans.ClassValuePicker
 
stop() - Method in class weka.gui.beans.Clusterer
Stop any clusterer action
stop() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
Try and stop any action
stop() - Method in class weka.gui.beans.CostBenefitAnalysis
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.CrossValidationFoldMaker
Stop any action
stop() - Method in class weka.gui.beans.DataVisualizer
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.Filter
Stop all action if possible
stop() - Method in class weka.gui.beans.FlowByExpression
 
stop() - Method in class weka.gui.beans.ImageSaver
 
stop() - Method in class weka.gui.beans.ImageViewer
 
stop() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
Stop all action
stop() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Stop any action (if possible).
stop() - Method in class weka.gui.beans.Join
Attempt to stop processing
stop() - Method in class weka.gui.beans.Loader
Stop any loading action.
stop() - Method in class weka.gui.beans.MetaBean
Stop all encapsulated beans
stop() - Method in class weka.gui.beans.ModelPerformanceChart
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.PredictionAppender
 
stop() - Method in class weka.gui.beans.Saver
Stops the bean
stop() - Method in class weka.gui.beans.SerializedModelSaver
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.Sorter
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.StripChart
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.SubstringLabeler
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.SubstringReplacer
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.TestSetMaker
 
stop() - Method in class weka.gui.beans.TextSaver
 
stop() - Method in class weka.gui.beans.TextViewer
Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.TrainingSetMaker
Stop any action
stop() - Method in class weka.gui.beans.TrainTestSplitMaker
Stop processing
stop() - Method in class weka.gui.scripting.Script
Stops the execution of the script.
stop() - Method in class weka.knowledgeflow.steps.BaseStep
Request that processing be stopped.
stop() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
 
stop() - Method in interface weka.knowledgeflow.steps.Step
Request a stop to all processing by this step (as soon as possible)
stopAllFlows() - Method in class weka.gui.beans.FlowRunner
 
stopClock(String) - Method in class weka.core.Debug
stops the clock and prints the message associated with the time, but only if the logging is enabled.
stopFlow() - Method in class weka.gui.knowledgeflow.VisibleLayout
Stop the flow from executing
stopMonitoring() - Method in class weka.gui.MemoryUsagePanel
stops the monitoring thread.
stopPlotting() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
Stop the plotting thread
stopPlotting() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
Stops the plotting thread.
stopProcessing() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
The main point at which to request stop processing of a flow.
stopProcessing() - Method in interface weka.knowledgeflow.ExecutionEnvironment
Step/StepManager can use this to request a stop to all processing
stopProcessing() - Method in interface weka.knowledgeflow.FlowExecutor
Stop all processing
stopProcessing() - Method in class weka.knowledgeflow.FlowRunner
Attempt to stop processing in all steps
stopScript() - Method in class weka.gui.scripting.Script.ScriptThread
Stops the script execution.
stopThread() - Method in class weka.gui.SimpleCLIPanel
Stops the currently running thread, if any.
stopThreads() - Method in class weka.core.Memory
stops all the current threads, to make a restart possible
Stopwords - Class in weka.core
Class that can test whether a given string is a stop word.
Stopwords() - Constructor for class weka.core.Stopwords
initializes the stopwords (based on Rainbow).
StopwordsHandler - Interface in weka.core.stopwords
Interface for classes that support stopword handling.
stopwordsHandlerTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property.
stopwordsHandlerTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property.
stopwordsHandlerTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
stopwordsHandlerTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
stopwordsTipText() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
Returns the tip text for this property.
stopwordsTipText() - Method in class weka.core.stopwords.MultiStopwords
Returns the tip text for this property.
stopwordsTipText() - Method in class weka.core.stopwords.RegExpFromFile
Returns the tip text for this property.
stopwordsTipText() - Method in class weka.core.stopwords.WordsFromFile
Returns the tip text for this property.
store(double, double, double) - Method in class weka.classifiers.lazy.kstar.KStarCache
Stores the specified values in the cahce table for easy retrieval.
storeEntry(String, String, Object) - Method in interface weka.core.metastore.MetaStore
Store a named entry
storeEntry(String, String, Object) - Method in class weka.core.metastore.XMLFileBasedMetaStore
 
storeOutOfBagPredictionsTipText() - Method in class weka.classifiers.meta.Bagging
Returns the tip text for this property
StorePropertiesInEnvironment - Class in weka.knowledgeflow.steps
Stores property values specified in incoming instances in the flow environment.
StorePropertiesInEnvironment() - Constructor for class weka.knowledgeflow.steps.StorePropertiesInEnvironment
 
StorePropertiesInEnvironmentStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Editor dialog for the StorePropertiesInEnvironment step.
StorePropertiesInEnvironmentStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.StorePropertiesInEnvironmentStepEditorDialog
 
StratifiedRemoveFolds - Class in weka.filters.supervised.instance
This filter takes a dataset and outputs a specified fold for cross validation.
StratifiedRemoveFolds() - Constructor for class weka.filters.supervised.instance.StratifiedRemoveFolds
 
stratify(Instances, int, Random) - Static method in class weka.classifiers.rules.RuleStats
Stratify the given data into the given number of bags based on the class values.
stratify(int) - Method in class weka.core.Instances
Stratifies a set of instances according to its class values if the class attribute is nominal (so that afterwards a stratified cross-validation can be performed).
StreamableFilter - Interface in weka.filters
Interface for filters can work with a stream of instances.
StreamThroughput - Class in weka.gui.beans
Class for measuring throughput of an incremental Knowledge Flow step.
StreamThroughput(String) - Constructor for class weka.gui.beans.StreamThroughput
Construct a new StreamThroughput
StreamThroughput(String, String, Logger) - Constructor for class weka.gui.beans.StreamThroughput
Construct a new StreamThroughput
StreamTokenizerUtils - Class in weka.core.converters
Helper class for using stream tokenizers
StreamTokenizerUtils() - Constructor for class weka.core.converters.StreamTokenizerUtils
 
STRING - Static variable in class weka.core.Attribute
Constant set for attributes with string values.
STRING - Static variable in interface weka.core.expressionlanguage.parser.sym
 
STRING - Static variable in class weka.core.json.Scanner
 
STRING - Static variable in interface weka.core.json.sym
 
STRING - Static variable in class weka.experiment.DatabaseUtils
Type mapping for STRING used for reading experiment results.
STRING1 - Static variable in class weka.core.expressionlanguage.parser.Scanner
 
STRING2 - Static variable in class weka.core.expressionlanguage.parser.Scanner
 
stringAttributesTipText() - Method in class weka.core.converters.CSVLoader
Returns the tip text for this property.
StringCompare() - Constructor for class weka.core.ClassDiscovery.StringCompare
 
StringConstant(String) - Constructor for class weka.core.expressionlanguage.common.Primitives.StringConstant
 
stringFreeStructure() - Method in class weka.core.Instances
Create a copy of the structure.
StringKernel - Class in weka.classifiers.functions.supportVector
Implementation of the subsequence kernel (SSK) as described in [1] and of the subsequence kernel with lambda pruning (SSK-LP) as described in [2].

For more information, see

Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J.
StringKernel() - Constructor for class weka.classifiers.functions.supportVector.StringKernel
default constructor
StringKernel(Instances, int, int, double, boolean) - Constructor for class weka.classifiers.functions.supportVector.StringKernel
creates a new StringKernel object.
StringLocator - Class in weka.core
This class locates and records the indices of String attributes, recursively in case of Relational attributes.
StringLocator(Instances) - Constructor for class weka.core.StringLocator
initializes the StringLocator with the given data
StringLocator(Instances, int, int) - Constructor for class weka.core.StringLocator
Initializes the StringLocator with the given data.
StringLocator(Instances, int[]) - Constructor for class weka.core.StringLocator
Initializes the AttributeLocator with the given data.
stringSize(FontMetrics) - Method in class weka.gui.treevisualizer.Edge
This will calculate how large a rectangle using the FontMetrics passed that the lines of the label will take up
stringSize(FontMetrics) - Method in class weka.gui.treevisualizer.Node
This will return the width and height of the rectangle that the text will fit into.
stringToLevel(String) - Static method in class weka.core.Debug.Log
turns the string representing a level, e.g., "FINE" or "ALL" into the corresponding level (case-insensitive).
stringToLevel(String) - Static method in class weka.core.Debug
turns the string representing a level, e.g., "FINE" or "ALL" into the corresponding level (case-insensitive).
stringToLevel(String) - Static method in enum weka.knowledgeflow.LoggingLevel
Return LoggingLevel given its name as a string
StringToNominal - Class in weka.filters.unsupervised.attribute
Converts a range of string attributes (unspecified number of values) to nominal (set number of values).
StringToNominal() - Constructor for class weka.filters.unsupervised.attribute.StringToNominal
 
StringToWordVector - Class in weka.filters.unsupervised.attribute
Converts string attributes into a set of numeric attributes representing word occurrence information from the text contained in the strings.
StringToWordVector() - Constructor for class weka.filters.unsupervised.attribute.StringToWordVector
Default constructor.
StringToWordVector(int) - Constructor for class weka.filters.unsupervised.attribute.StringToWordVector
Constructor that allows specification of the target number of words in the output.
stringValue(int) - Method in class weka.core.AbstractInstance
Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
stringValue(Attribute) - Method in class weka.core.AbstractInstance
Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
stringValue(int) - Method in interface weka.core.Instance
Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
stringValue(Attribute) - Method in interface weka.core.Instance
Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
StringVariable(String) - Constructor for class weka.core.expressionlanguage.common.Primitives.StringVariable
 
StripChart - Class in weka.gui.beans
Bean that can display a horizontally scrolling strip chart.
StripChart() - Constructor for class weka.gui.beans.StripChart
 
StripChart - Class in weka.knowledgeflow.steps
A step that can display a viewer showing a right-to-left scrolling chart for streaming data
StripChart() - Constructor for class weka.knowledgeflow.steps.StripChart
 
StripChart.PlotNotificationListener - Interface in weka.knowledgeflow.steps
StripChartInteractiveView implements this in order to receive data points.
StripChartBeanInfo - Class in weka.gui.beans
Bean info class for the strip chart bean
StripChartBeanInfo() - Constructor for class weka.gui.beans.StripChartBeanInfo
 
StripChartCustomizer - Class in weka.gui.beans
GUI Customizer for the strip chart bean
StripChartCustomizer() - Constructor for class weka.gui.beans.StripChartCustomizer
 
StripChartInteractiveView - Class in weka.gui.knowledgeflow.steps
Implements the actual strip chart view
StripChartInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.StripChartInteractiveView
 
StructureNotReadyException(String) - Constructor for exception weka.core.converters.Loader.StructureNotReadyException
 
StructureProducer - Interface in weka.gui.beans
Interface for something that can describe the structure of what is encapsulated in a named event type as an empty set of Instances (i.e.
STYLE_STDERR - Static variable in class weka.gui.LogWindow
the name of the style for stderr
STYLE_STDOUT - Static variable in class weka.gui.LogWindow
the name of the style for stdout
sub(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
Subtracts given instance from given bag.
subFlowContains(BeanInstance) - Method in class weka.gui.beans.MetaBean
 
subList(int, int) - Method in class weka.core.neighboursearch.covertrees.Stack
Returns a sublist of the elements in the stack.
submitTask(StepTask<T>) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
Submit a task to be run by the execution environment.
submitTask(StepTask<T>) - Method in interface weka.knowledgeflow.ExecutionEnvironment
Submit a task to be run by the execution environment.
subpath(int) - Method in class weka.core.PropertyPath.Path
returns a subpath of the current structure, starting with the specified element index up to the end
subpath(int, int) - Method in class weka.core.PropertyPath.Path
returns a subpath of the current structure, starting with the specified element index up.
subsequenceLengthTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the tip text for this property
SubsetByExpression - Class in weka.filters.unsupervised.instance
Filters instances according to a user-specified expression.

Examples:
- extracting only mammals and birds from the 'zoo' UCI dataset:
(CLASS is 'mammal') or (CLASS is 'bird')
- extracting only animals with at least 2 legs from the 'zoo' UCI dataset:
(ATT14 >= 2)
- extracting only instances with non-missing 'wage-increase-second-year'
from the 'labor' UCI dataset:
not ismissing(ATT3)

Valid options are:

SubsetByExpression() - Constructor for class weka.filters.unsupervised.instance.SubsetByExpression
 
subsetDL(double, double, double) - Static method in class weka.classifiers.rules.RuleStats
Subset description length:
S(t,k,p) = -k*log2(p)-(n-k)log2(1-p) Details see Quilan: "MDL and categorical theories (Continued)",ML95
SubsetEvaluator - Interface in weka.attributeSelection
Interface for attribute subset evaluators.
SubspaceCluster - Class in weka.datagenerators.clusterers
A data generator that produces data points in hyperrectangular subspace clusters.
SubspaceCluster() - Constructor for class weka.datagenerators.clusterers.SubspaceCluster
initializes the generator, sets the number of clusters to 0, since user has to specify them explicitly
SubspaceClusterDefinition - Class in weka.datagenerators.clusterers
A single cluster for the SubspaceCluster data generator.
SubspaceClusterDefinition() - Constructor for class weka.datagenerators.clusterers.SubspaceClusterDefinition
Needed so that this class can be found as permissible.
SubspaceClusterDefinition(ClusterGenerator) - Constructor for class weka.datagenerators.clusterers.SubspaceClusterDefinition
initializes the cluster with default values
subSpaceSizeTipText() - Method in class weka.classifiers.meta.RandomSubSpace
Returns the tip text for this property
substitute(String) - Method in class weka.core.Environment
Substitute a variable names for their values in the given string.
substract(AlgVector) - Method in class weka.core.AlgVector
Returns the difference of this vector minus another.
SubstringLabeler - Class in weka.gui.beans
A bean that finds matches in string attribute values (using either substring or regular expression matches) and labels the instance (sets the value of a new attribute) according to the supplied label for the matching rule.
SubstringLabeler() - Constructor for class weka.gui.beans.SubstringLabeler
Constructor
SubstringLabeler - Class in weka.knowledgeflow.steps
Step that appends a label to incoming instances according to substring matches in string attributes.
SubstringLabeler() - Constructor for class weka.knowledgeflow.steps.SubstringLabeler
 
SubstringLabelerBeanInfo - Class in weka.gui.beans
Bean info class for the substring labeler bean
SubstringLabelerBeanInfo() - Constructor for class weka.gui.beans.SubstringLabelerBeanInfo
 
SubstringLabelerCustomizer - Class in weka.gui.beans
Customizer class for the Substring labeler step
SubstringLabelerCustomizer() - Constructor for class weka.gui.beans.SubstringLabelerCustomizer
 
SubstringLabelerMatchRule() - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Constructor
SubstringLabelerMatchRule(String) - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Constructor
SubstringLabelerMatchRule(String, boolean, boolean, String) - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Constructor
SubstringLabelerRules - Class in weka.gui.beans
Manages a list of match rules for labeling strings.
SubstringLabelerRules(String, String, boolean, boolean, Instances, String, Logger, Environment) - Constructor for class weka.gui.beans.SubstringLabelerRules
Constructor
SubstringLabelerRules(String, String, Instances) - Constructor for class weka.gui.beans.SubstringLabelerRules
Constructor.
SubstringLabelerRules.SubstringLabelerMatchRule - Class in weka.gui.beans
Inner class encapsulating the logic for matching
SubstringLabelerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the SubstringLabeler step
SubstringLabelerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SubstringLabelerStepEditorDialog
 
SubstringReplacer - Class in weka.gui.beans
A bean that can replace substrings in the values of string attributes.
SubstringReplacer() - Constructor for class weka.gui.beans.SubstringReplacer
Constructs a new SubstringReplacer
SubstringReplacer - Class in weka.knowledgeflow.steps
A step that can replace sub-strings in the values of string attributes.
SubstringReplacer() - Constructor for class weka.knowledgeflow.steps.SubstringReplacer
 
SubstringReplacerBeanInfo - Class in weka.gui.beans
Bean info class for the substring replacer
SubstringReplacerBeanInfo() - Constructor for class weka.gui.beans.SubstringReplacerBeanInfo
 
SubstringReplacerCustomizer - Class in weka.gui.beans
Customizer for the SubstringReplacer
SubstringReplacerCustomizer() - Constructor for class weka.gui.beans.SubstringReplacerCustomizer
Constructor
SubstringReplacerMatchRule() - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Constructor
SubstringReplacerMatchRule(String) - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Constructor
SubstringReplacerMatchRule(String, String, boolean, boolean, String) - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Constructor
SubstringReplacerRules - Class in weka.gui.beans
Manages a list of match and replace rules for replacing values in string attributes
SubstringReplacerRules(String, Instances, String, Logger, Environment) - Constructor for class weka.gui.beans.SubstringReplacerRules
Constructor
SubstringReplacerRules(String, Instances) - Constructor for class weka.gui.beans.SubstringReplacerRules
Constructor.
SubstringReplacerRules.SubstringReplacerMatchRule - Class in weka.gui.beans
Inner class encapsulating the logic for matching and replacing.
SubstringReplacerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
Step editor dialog for the SubstringReplacer step
SubstringReplacerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SubstringReplacerStepEditorDialog
 
subtract(AprioriItemSet) - Method in class weka.associations.AprioriItemSet
Subtracts an item set from another one.
subtract(Distribution) - Method in class weka.classifiers.trees.j48.Distribution
Subtracts the given distribution from this one.
subtract(double[]) - Method in class weka.core.pmml.VectorInstance
Subtract the values in the supplied array from this vector instance
subtract(VectorInstance) - Method in class weka.core.pmml.VectorInstance
Subtract the supplied VectorInstance from this one and return the result as a new VectorInstance
subtract(double, double) - Method in class weka.experiment.PairedStats
Removes an observed pair of values.
subtract(double[], double[]) - Method in class weka.experiment.PairedStats
Removes an array of observed pair of values.
subtract(double) - Method in class weka.experiment.Stats
Removes a value to the observed values (no checking is done that the value being removed was actually added).
subtract(double, double) - Method in class weka.experiment.Stats
Subtracts a weighted value from the observed values
subtreeRaisingTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
subvector(int, int) - Method in class weka.core.matrix.DoubleVector
Returns a subvector.
subvector(IntVector) - Method in class weka.core.matrix.DoubleVector
Returns a subvector.
subvector(int, int) - Method in class weka.core.matrix.IntVector
Returns a subvector.
subvector(IntVector) - Method in class weka.core.matrix.IntVector
Returns a subvector as indexed by an IntVector.
sum(Map<String, WeightMass>) - Static method in class weka.classifiers.trees.ht.SplitMetric
Utility method to return the sum of instance weight in a distribution
sum() - Method in class weka.core.matrix.DoubleVector
Returns the sum of all elements in the vector.
sum(double[]) - Static method in class weka.core.Utils
Computes the sum of the elements of an array of doubles.
sum(int[]) - Static method in class weka.core.Utils
Computes the sum of the elements of an array of integers.
sum - Variable in class weka.experiment.Stats
The sum of values seen
sum2() - Method in class weka.core.matrix.DoubleVector
Returns the squared sum of all elements in the vector.
sum2(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Returns ||u-v||^2
Summarizable - Interface in weka.core
Interface to something that provides a short textual summary (as opposed to toString() which is usually a fairly complete description) of itself.
sumOfWeights() - Method in class weka.core.Instances
Computes the sum of all the instances' weights.
sumSq - Variable in class weka.experiment.Stats
The sum of values squared seen
SupervisedFilter - Interface in weka.filters
Interface for filters that make use of a class attribute.
support() - Method in class weka.associations.ItemSet
Outputs the support for an item set.
support() - Method in class weka.associations.LabeledItemSet
Outputs the support for an item set.
supports(Capabilities) - Method in class weka.core.Capabilities
Returns true if the currently set capabilities support at least all of the capabilities of the given Capabilities object (checks only the enum!)
supportsCustomEditor() - Method in class weka.gui.beans.EnvironmentField
Deprecated.
 
supportsCustomEditor() - Method in class weka.gui.ColorEditor
We use JColorChooser, so return true
supportsCustomEditor() - Method in class weka.gui.CostMatrixEditor
Indicates whether the cost matrix can be edited in a GUI, which it can.
supportsCustomEditor() - Method in class weka.gui.EnvironmentField
 
supportsCustomEditor() - Method in class weka.gui.FileEditor
Returns true because we do support a custom editor.
supportsCustomEditor() - Method in class weka.gui.GenericArrayEditor
Returns true because we do support a custom editor.
supportsCustomEditor() - Method in class weka.gui.GenericObjectEditor
Returns true because we do support a custom editor.
supportsCustomEditor() - Method in class weka.gui.PasswordField
 
supportsCustomEditor() - Method in class weka.gui.SimpleDateFormatEditor
Indicates whether the date format can be edited in a GUI, which it can.
supportsMaybe(Capabilities) - Method in class weka.core.Capabilities
Returns true if the currently set capabilities support (or have a dependency) at least all of the capabilities of the given Capabilities object (checks only the enum!)
SupportVector - Class in weka.core.pmml.jaxbbindings
Java class for SupportVector element declaration.
SupportVector() - Constructor for class weka.core.pmml.jaxbbindings.SupportVector
 
SupportVectorMachine - Class in weka.core.pmml.jaxbbindings
Java class for SupportVectorMachine element declaration.
SupportVectorMachine() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectorMachine
 
SupportVectorMachineModel - Class in weka.classifiers.pmml.consumer
Implements a PMML SupportVectorMachineModel
SupportVectorMachineModel(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.SupportVectorMachineModel
Construct a new SupportVectorMachineModel encapsulating the information provided in the PMML document.
SupportVectorMachineModel - Class in weka.core.pmml.jaxbbindings
Java class for SupportVectorMachineModel element declaration.
SupportVectorMachineModel() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
 
SupportVectors - Class in weka.core.pmml.jaxbbindings
Java class for SupportVectors element declaration.
SupportVectors() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectors
 
SUPPRESS_PROPERTY_WARNINGS - Static variable in class weka.core.xml.XMLSerialization
List of fully qualified property names to suppress any warning messages for
suppressMappingReportTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns the tip text for this property
suppressOutputTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
Returns the tip text for this property.
svd() - Method in class weka.core.matrix.Matrix
Singular Value Decomposition
SVMCLASSIFICATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
Java class for SVM-CLASSIFICATION-METHOD.
SVMLightLoader - Class in weka.core.converters
Reads a source that is in svm light format.

For more information about svm light see:

http://svmlight.joachims.org/

SVMLightLoader() - Constructor for class weka.core.converters.SVMLightLoader
 
SVMLightSaver - Class in weka.core.converters
Writes to a destination that is in svm light format.

For more information about svm light see:

http://svmlight.joachims.org/

Valid options are:

SVMLightSaver() - Constructor for class weka.core.converters.SVMLightSaver
Constructor.
SVMOutput(int, Instance) - Method in class weka.classifiers.functions.SMO.BinarySMO
Computes SVM output for given instance.
SVMOutput(Instance) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
 
SVMREPRESENTATION - Enum in weka.core.pmml.jaxbbindings
Java class for SVM-REPRESENTATION.
swap(int, int) - Method in class weka.core.FastVector
Deprecated.
Swaps two elements in the vector.
swap(int, int) - Method in class weka.core.Instances
Swaps two instances in the set.
swap(int, int) - Method in class weka.core.matrix.DoubleVector
Swaps the values stored at i and j
swap(int, int) - Method in class weka.core.matrix.IntVector
Swaps the values stored at i and j
SwapValues - Class in weka.filters.unsupervised.attribute
Swaps two values of a nominal attribute.
SwapValues() - Constructor for class weka.filters.unsupervised.attribute.SwapValues
 
switchSetup() - Method in class weka.gui.sql.ConnectionPanel
Lets the user select a props file for changing the database connection parameters.
switchTo(AbstractSetupPanel, Experiment) - Method in class weka.gui.experiment.SetupModePanel
Switches to the specified panel.
switchToAdvanced(Experiment) - Method in class weka.gui.experiment.SetupModePanel
Switches to the advanced panel.
sym - Interface in weka.core.expressionlanguage.parser
CUP generated interface containing symbol constants.
sym - Interface in weka.core.json
CUP generated interface containing symbol constants.
symmetricalUncertainty(double[][]) - Static method in class weka.core.ContingencyTables
Calculates the symmetrical uncertainty for base 2.
SymmetricalUncertAttributeEval - Class in weka.attributeSelection
SymmetricalUncertAttributeEval :

Evaluates the worth of an attribute by measuring the symmetrical uncertainty with respect to the class.
SymmetricalUncertAttributeEval() - Constructor for class weka.attributeSelection.SymmetricalUncertAttributeEval
Constructor
Sync(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
synchronizes the node ordering of this Bayes network with those in the other network (if possible).
synopsis() - Method in class weka.core.Option
Returns the option's synopsis.
SyntaxDocument - Class in weka.gui.scripting
Highlights syntax in a DefaultStyledDocument.
SyntaxDocument(Properties) - Constructor for class weka.gui.scripting.SyntaxDocument
Initializes the document.
SyntaxDocument.ATTR_TYPE - Enum in weka.gui.scripting
The attribute type.
SyntaxException - Exception in weka.core.expressionlanguage.core
An exception to represent an invalid syntax of a program
SyntaxException(String) - Constructor for exception weka.core.expressionlanguage.core.SyntaxException
Constructs a SyntaxException with a message
SysErrLog - Class in weka.gui
This Logger just sends messages to System.err.
SysErrLog() - Constructor for class weka.gui.SysErrLog
 
SystemInfo - Class in weka.core
This class prints some information about the system setup, like Java version, JVM settings etc.
SystemInfo() - Constructor for class weka.core.SystemInfo
initializes the object and reads the system information

T

t1TipText() - Method in class weka.clusterers.Canopy
Tip text for this property
t2TipText() - Method in class weka.clusterers.Canopy
Tip text for this property
TAB_INSTANCES - Static variable in class weka.gui.arffviewer.ArffPanel
the name of the tab for instances that were set directly
tabClosing(int) - Method in interface weka.gui.CloseableTabTitle.ClosingCallback
 
tableChanged(TableModelEvent) - Method in class weka.gui.arffviewer.ArffTable
This fine grain notification tells listeners the exact range of cells, rows, or columns that changed.
tableChanged(TableModelEvent) - Method in class weka.gui.InteractiveTablePanel.InteractiveTableModelListener
 
tableChanged(TableModelEvent) - Method in class weka.gui.SortedTableModel
This fine grain notification tells listeners the exact range of cells, rows, or columns that changed.
TableEntry(int, double, double, double, KStarCache.TableEntry) - Constructor for class weka.classifiers.lazy.kstar.KStarCache.TableEntry
Constructor
tableExists(String) - Method in class weka.experiment.DatabaseUtils
Checks that a given table exists.
TableLocator - Class in weka.core.pmml.jaxbbindings
Java class for TableLocator element declaration.
TableLocator() - Constructor for class weka.core.pmml.jaxbbindings.TableLocator
 
tableNameTipText() - Method in class weka.core.converters.DatabaseSaver
Returns the tip text for this property.
tabuListTipText() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
 
tabuListTipText() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
 
TabuSearch - Class in weka.classifiers.bayes.net.search.global
This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
TabuSearch() - Constructor for class weka.classifiers.bayes.net.search.global.TabuSearch
 
TabuSearch - Class in weka.classifiers.bayes.net.search.local
This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
TabuSearch() - Constructor for class weka.classifiers.bayes.net.search.local.TabuSearch
 
Tag - Class in weka.core
A Tag simply associates a numeric ID with a String description.
Tag() - Constructor for class weka.core.Tag
Creates a new default Tag
Tag(int, String) - Constructor for class weka.core.Tag
Creates a new Tag instance.
Tag(int, String, String) - Constructor for class weka.core.Tag
Creates a new Tag instance.
Tag(int, String, String, boolean) - Constructor for class weka.core.Tag
 
TAG_ACTUAL_LABEL - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the actual_nominal tag.
TAG_ACTUAL_VALUE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the actual_numeric tag.
TAG_ATTRIBUTE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the attribute tag.
TAG_ATTRIBUTE - Static variable in class weka.core.xml.XMLInstances
the attribute element
TAG_ATTRIBUTES - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the attributes tag.
TAG_ATTRIBUTES - Static variable in class weka.core.xml.XMLInstances
the attributes element
TAG_BODY - Static variable in class weka.core.xml.XMLInstances
the body element
TAG_CLASS_LABEL - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the class_label tag.
TAG_DATASET - Static variable in class weka.core.xml.XMLInstances
the root element
TAG_DISTRIBUTION - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the distribution tag.
TAG_ERROR - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the error tag.
TAG_HEADER - Static variable in class weka.core.xml.XMLInstances
the header element
TAG_INSTANCE - Static variable in class weka.core.xml.XMLInstances
the instance element
TAG_INSTANCES - Static variable in class weka.core.xml.XMLInstances
the data element
TAG_LABEL - Static variable in class weka.core.xml.XMLInstances
the label element
TAG_LABELS - Static variable in class weka.core.xml.XMLInstances
the labels element
TAG_METADATA - Static variable in class weka.core.xml.XMLInstances
the meta-data element
TAG_NOTES - Static variable in class weka.core.xml.XMLInstances
the notes element
TAG_OBJECT - Static variable in class weka.core.xml.XMLSerialization
the tag for an object
TAG_OPTION - Static variable in class weka.core.xml.XMLOptions
tag for a single option.
TAG_OPTIONS - Static variable in class weka.core.xml.XMLOptions
tag for a list of options.
TAG_PREDICTED_LABEL - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the predicted_nominal tag.
TAG_PREDICTED_VALUE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the predicted_numeric tag.
TAG_PREDICTION - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the prediction tag.
TAG_PREDICTIONS - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the predictions tag.
TAG_PROPERTY - Static variable in class weka.core.xml.XMLInstances
the property element
TAG_VALUE - Static variable in class weka.core.xml.XMLInstances
the value element
TAGS_ATTRIBUTETYPE - Static variable in class weka.filters.unsupervised.attribute.RemoveType
Tag allowing selection of attribute type to delete
TAGS_CLUSTERSUBTYPE - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
the tags for the cluster types
TAGS_CLUSTERTYPE - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
the tags for the cluster types
TAGS_CV_TYPE - Static variable in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
the score types
TAGS_DSTRS_TYPE - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
The types of distributions that can be used for calculating the random matrix
TAGS_EVAL - Static variable in class weka.classifiers.meta.IterativeClassifierOptimizer
 
TAGS_EVALUATION - Static variable in class weka.attributeSelection.ClassifierSubsetEval
Holds all tags for metrics
TAGS_EVALUATION - Static variable in class weka.attributeSelection.WrapperSubsetEval
Holds all tags for metrics
TAGS_EVALUATION - Static variable in class weka.classifiers.rules.DecisionTable
 
TAGS_FILTER - Static variable in class weka.classifiers.functions.GaussianProcesses
The filter to apply to the training data
TAGS_FILTER - Static variable in class weka.classifiers.functions.SMO
The filter to apply to the training data
TAGS_FILTER - Static variable in class weka.classifiers.functions.SMOreg
The filter to apply to the training data
TAGS_FILTER - Static variable in class weka.filters.unsupervised.attribute.StringToWordVector
Specifies whether document's (instance's) word frequencies are to be normalized.
TAGS_FORMAT - Static variable in class weka.core.Debug.Clock
the output formats
TAGS_GUI - Static variable in class weka.gui.Main
GUI tags.
TAGS_INPUTORDER - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
the input order tags
TAGS_LINK_TYPE - Static variable in class weka.clusterers.HierarchicalClusterer
 
TAGS_MATRIX_SOURCE - Static variable in class weka.classifiers.meta.CostSensitiveClassifier
Specify possible sources of the cost matrix
TAGS_METHOD - Static variable in class weka.classifiers.meta.MultiClassClassifier
The error correction modes
TAGS_MISSING - Static variable in class weka.classifiers.lazy.KStar
Define possible missing value handling methods
TAGS_PATTERN - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
the pattern tags
TAGS_PRUNING - Static variable in class weka.classifiers.functions.supportVector.StringKernel
Pruning methods
TAGS_RULES - Static variable in class weka.classifiers.meta.Vote
combination rules
TAGS_SCORE_TYPE - Static variable in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
the score types
TAGS_SELECTION - Static variable in class weka.associations.Apriori
Metric types.
TAGS_SELECTION - Static variable in class weka.associations.DefaultAssociationRule
Tags for display in the GUI
TAGS_SELECTION - Static variable in class weka.attributeSelection.BestFirst
search directions
TAGS_SELECTION - Static variable in class weka.classifiers.functions.LinearRegression
Attribute selection methods
TAGS_SELECTION - Static variable in class weka.classifiers.functions.SGD
Loss functions to choose from
TAGS_SELECTION - Static variable in class weka.classifiers.functions.SGDText
Loss functions to choose from
TAGS_SELECTION - Static variable in class weka.classifiers.trees.HoeffdingTree
 
TAGS_SELECTION - Static variable in class weka.clusterers.SimpleKMeans
Initialization methods
TAGS_SELECTION2 - Static variable in class weka.classifiers.trees.HoeffdingTree
 
TAGS_SORTTYPE - Static variable in class weka.filters.unsupervised.attribute.SortLabels
Tag allowing selection of sort type.
TAGS_TYPE - Static variable in class weka.filters.unsupervised.attribute.Add
the attribute type.
TAGS_WEIGHTING - Static variable in class weka.classifiers.lazy.IBk
possible instance weighting methods.
takeSample(double[], Random) - Static method in class weka.core.Utils
Takes a sample based on the given array of weights based on Walker's method.
TAN - Class in weka.classifiers.bayes.net.search.global
This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.

For more information see:

N.
TAN() - Constructor for class weka.classifiers.bayes.net.search.global.TAN
 
TAN - Class in weka.classifiers.bayes.net.search.local
This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.

For more information see:

N.
TAN() - Constructor for class weka.classifiers.bayes.net.search.local.TAN
 
Tanimoto - Class in weka.core.pmml.jaxbbindings
Java class for tanimoto element declaration.
Tanimoto() - Constructor for class weka.core.pmml.jaxbbindings.Tanimoto
 
Target - Class in weka.core.pmml.jaxbbindings
Java class for Target element declaration.
Target() - Constructor for class weka.core.pmml.jaxbbindings.Target
 
TargetMetaInfo - Class in weka.core.pmml
Class to encapsulate information about a Target.
Targets - Class in weka.core.pmml.jaxbbindings
Java class for Targets element declaration.
Targets() - Constructor for class weka.core.pmml.jaxbbindings.Targets
 
TargetValue - Class in weka.core.pmml.jaxbbindings
Java class for TargetValue element declaration.
TargetValue() - Constructor for class weka.core.pmml.jaxbbindings.TargetValue
 
TargetValueCount - Class in weka.core.pmml.jaxbbindings
Java class for TargetValueCount element declaration.
TargetValueCount() - Constructor for class weka.core.pmml.jaxbbindings.TargetValueCount
 
TargetValueCounts - Class in weka.core.pmml.jaxbbindings
Java class for TargetValueCounts element declaration.
TargetValueCounts() - Constructor for class weka.core.pmml.jaxbbindings.TargetValueCounts
 
Task - Interface in weka.experiment
Interface to something that can be remotely executed as a task.
taskFailed(StepTask<T>, ExecutionResult<T>) - Method in interface weka.knowledgeflow.StepTaskCallback
Gets called if the StepTask fails for some reason
taskFinished() - Method in class weka.gui.LogPanel
Record a task ending
taskFinished() - Method in interface weka.gui.TaskLogger
Tells the task logger that a task has completed
taskFinished() - Method in class weka.gui.WekaTaskMonitor
Tells the panel that a task has completed
taskFinished(ExecutionResult<T>) - Method in interface weka.knowledgeflow.StepTaskCallback
Gets called when the StepTask finishes processing
TaskLogger - Interface in weka.gui
Interface for objects that display log and display information on running tasks.
taskStarted() - Method in class weka.gui.LogPanel
Record the starting of a new task
taskStarted() - Method in interface weka.gui.TaskLogger
Tells the task logger that a new task has been started
taskStarted() - Method in class weka.gui.WekaTaskMonitor
Tells the panel that a new task has been started
TaskStatusInfo - Class in weka.experiment
A class holding information for tasks being executed on RemoteEngines.
TaskStatusInfo() - Constructor for class weka.experiment.TaskStatusInfo
 
tauVal(double[][]) - Static method in class weka.core.ContingencyTables
Computes Goodman and Kruskal's tau-value for a contingency table.
Taxonomy - Class in weka.core.pmml.jaxbbindings
Java class for Taxonomy element declaration.
Taxonomy() - Constructor for class weka.core.pmml.jaxbbindings.Taxonomy
 
TechnicalInformation - Class in weka.core
Used for paper references in the Javadoc and for BibTex generation.
TechnicalInformation(TechnicalInformation.Type) - Constructor for class weka.core.TechnicalInformation
Initializes the information with the given type
TechnicalInformation(TechnicalInformation.Type, String) - Constructor for class weka.core.TechnicalInformation
Initializes the information with the given type
TechnicalInformation.Field - Enum in weka.core
the possible fields
TechnicalInformation.Type - Enum in weka.core
the different types of information
TechnicalInformationHandler - Interface in weka.core
For classes that are based on some kind of publications.
TechnicalInformationHandlerJavadoc - Class in weka.core
Generates Javadoc comments from the TechnicalInformationHandler's data.
TechnicalInformationHandlerJavadoc() - Constructor for class weka.core.TechnicalInformationHandlerJavadoc
default constructor
Tee - Class in weka.core
This class pipelines print/println's to several PrintStreams.
Tee() - Constructor for class weka.core.Tee
initializes the object, with a default printstream.
Tee(PrintStream) - Constructor for class weka.core.Tee
initializes the object with the given default printstream, e.g., System.out.
TemplateManager - Class in weka.gui.knowledgeflow
Manages all things template-related
TemplateManager() - Constructor for class weka.gui.knowledgeflow.TemplateManager
 
terminalNames - Static variable in interface weka.core.expressionlanguage.parser.sym
 
terminalNames - Static variable in interface weka.core.json.sym
 
terminate() - Method in class weka.gui.AbstractGUIApplication
Method to be called when GUI application is no longer needed, to free up resources so that they can be garbage collected.
terminate() - Method in class weka.gui.AbstractPerspective
Subclasses should override this to free any additional resources (e.g., JFrames and threads) when the perspective is no longer needed.
terminate() - Method in class weka.gui.experiment.AbstractSetupPanel
Terminates this panel.
terminate() - Method in class weka.gui.experiment.AlgorithmListPanel
Terminates this panel, which means, in the case of this panel, that it disposes of the property dialog and removes the relevant listeners from the GenericObjectEditor and the GOEPanel.
terminate() - Method in class weka.gui.experiment.Experimenter
Terminates this panel, which means, in the case of this panel, that it sets all references to associated JFrame objects to null.
terminate() - Method in class weka.gui.experiment.SetupModePanel
Terminates this panel, which means, in the case of this panel, that it sets all references to associated JFrame objects to null.
terminate() - Method in class weka.gui.experiment.SetupPanel
Terminates this panel, which means, in the case of this panel, that it sets all references to associated JFrame objects to null.
terminate() - Method in class weka.gui.experiment.SimpleSetupPanel
Terminates this panel, which means, in the case of this panel, that it sets all references to associated JFrame objects to null.
terminate() - Method in class weka.gui.explorer.Explorer
Terminates this panel, which means, in the case of this panel, that it terminates the associated LogPanel.
terminate() - Method in class weka.gui.LogPanel
Terminates this panel, which means, in the case of this panel, that it terminates the frame that it may have created.
terminate() - Method in class weka.gui.PerspectiveManager
Method to be called when GUI application is no longer needed, to free up resources so that they can be garbage collected.
terminate() - Method in class weka.gui.scripting.ScriptingPanel
Terminates this panel, i.e., terminates the output threads it started.
test(Attribute) - Method in class weka.core.Capabilities
Test the given attribute, whether it can be processed by the handler, given its capabilities.
test(Attribute, boolean) - Method in class weka.core.Capabilities
Test the given attribute, whether it can be processed by the handler, given its capabilities.
test(Instances) - Method in class weka.core.Capabilities
Tests the given data, whether it can be processed by the handler, given its capabilities.
test(Instances, int, int) - Method in class weka.core.Capabilities
Tests a certain range of attributes of the given data, whether it can be processed by the handler, given its capabilities.
test(String[]) - Static method in class weka.core.Instances
Method for testing this class.
Test - Class in weka.datagenerators
Class to represent a test.
Test(int, double, Instances) - Constructor for class weka.datagenerators.Test
Constructor
Test(int, double, Instances, boolean) - Constructor for class weka.datagenerators.Test
Constructor
TEST - Static variable in class weka.gui.beans.BatchClustererEvent
 
testAggregation() - Static method in class weka.estimators.KernelEstimator
 
testAggregation() - Static method in class weka.estimators.NormalEstimator
 
testCapabilities(Instances, int) - Method in class weka.estimators.Estimator
Test if the estimator can handle the data.
testCV(int, int) - Method in class weka.core.Instances
Creates the test set for one fold of a cross-validation on the dataset.
TestDistributions - Class in weka.core.pmml.jaxbbindings
Java class for TestDistributions element declaration.
TestDistributions() - Constructor for class weka.core.pmml.jaxbbindings.TestDistributions
 
Tester - Interface in weka.experiment
Interface for different kinds of Testers in the Experimenter.
TestInstances - Class in weka.core
Generates artificial datasets for testing.
TestInstances() - Constructor for class weka.core.TestInstances
the default constructor
TestOptions - Class in weka.core
 
TestOptions() - Constructor for class weka.core.TestOptions
 
testsetDirTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
TestSetEvent - Class in weka.gui.beans
Event encapsulating a test set
TestSetEvent(Object, Instances) - Constructor for class weka.gui.beans.TestSetEvent
Creates a new TestSetEvent
TestSetEvent(Object, Instances, int, int) - Constructor for class weka.gui.beans.TestSetEvent
Creates a new TestSetEvent
TestSetEvent(Object, Instances, int, int, int, int) - Constructor for class weka.gui.beans.TestSetEvent
Creates a new TestSetEvent
TestSetListener - Interface in weka.gui.beans
Interface to something that can accpet test set events
TestSetMaker - Class in weka.gui.beans
Bean that accepts data sets and produces test sets
TestSetMaker() - Constructor for class weka.gui.beans.TestSetMaker
 
TestSetMaker - Class in weka.knowledgeflow.steps
A step that makes an incoming dataSet or trainingSet into a testSet.
TestSetMaker() - Constructor for class weka.knowledgeflow.steps.TestSetMaker
 
TestSetMakerBeanInfo - Class in weka.gui.beans
Bean info class for the test set maker bean.
TestSetMakerBeanInfo() - Constructor for class weka.gui.beans.TestSetMakerBeanInfo
 
testsetPrefixTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
TestSetProducer - Interface in weka.gui.beans
Interface to something that can produce test sets
testsetSuffixTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
Returns the tip text for this property.
testWithFail(Attribute) - Method in class weka.core.Capabilities
tests the given attribute by calling the test(Attribute,boolean) method and throws an exception if the test fails.
testWithFail(Attribute, boolean) - Method in class weka.core.Capabilities
tests the given attribute by calling the test(Attribute,boolean) method and throws an exception if the test fails.
testWithFail(Instances, int, int) - Method in class weka.core.Capabilities
tests the given data by calling the test(Instances,int,int) method and throws an exception if the test fails.
testWithFail(Instances) - Method in class weka.core.Capabilities
tests the given data by calling the test(Instances) method and throws an exception if the test fails.
TEXT - Static variable in class weka.experiment.DatabaseUtils
Type mapping for TEXT used for reading, e.g., text blobs.
TextCorpus - Class in weka.core.pmml.jaxbbindings
Java class for TextCorpus element declaration.
TextCorpus() - Constructor for class weka.core.pmml.jaxbbindings.TextCorpus
 
TextDictionary - Class in weka.core.pmml.jaxbbindings
Java class for TextDictionary element declaration.
TextDictionary() - Constructor for class weka.core.pmml.jaxbbindings.TextDictionary
 
TextDirectoryLoader - Class in weka.core.converters
Loads all text files in a directory and uses the subdirectory names as class labels.
TextDirectoryLoader() - Constructor for class weka.core.converters.TextDirectoryLoader
default constructor
TextDocument - Class in weka.core.pmml.jaxbbindings
Java class for TextDocument element declaration.
TextDocument() - Constructor for class weka.core.pmml.jaxbbindings.TextDocument
 
TextEvent - Class in weka.gui.beans
Event that encapsulates some textual information
TextEvent(Object, String, String) - Constructor for class weka.gui.beans.TextEvent
Creates a new TextEvent instance.
TextListener - Interface in weka.gui.beans
Interface to something that can process a TextEvent
TextModel - Class in weka.core.pmml.jaxbbindings
Java class for TextModel element declaration.
TextModel() - Constructor for class weka.core.pmml.jaxbbindings.TextModel
 
TextModelNormalization - Class in weka.core.pmml.jaxbbindings
Java class for TextModelNormalization element declaration.
TextModelNormalization() - Constructor for class weka.core.pmml.jaxbbindings.TextModelNormalization
 
TextModelSimiliarity - Class in weka.core.pmml.jaxbbindings
Java class for TextModelSimiliarity element declaration.
TextModelSimiliarity() - Constructor for class weka.core.pmml.jaxbbindings.TextModelSimiliarity
 
TextSaver - Class in weka.gui.beans
Simple component to save the text carried in text events out to a file
TextSaver() - Constructor for class weka.gui.beans.TextSaver
Default constructors a new TextSaver
TextSaver - Class in weka.knowledgeflow.steps
Step for saving textual data to a file.
TextSaver() - Constructor for class weka.knowledgeflow.steps.TextSaver
 
TextSaver.TextSaverDefaults - Class in weka.knowledgeflow.steps
Defaults for the step
TextSaverBeanInfo - Class in weka.gui.beans
Bean info class for the serialized model saver bean
TextSaverBeanInfo() - Constructor for class weka.gui.beans.TextSaverBeanInfo
 
TextSaverCustomizer - Class in weka.gui.beans
Customizer for the TextSaver component.
TextSaverCustomizer() - Constructor for class weka.gui.beans.TextSaverCustomizer
Default Constructor
TextSaverDefaults() - Constructor for class weka.knowledgeflow.steps.TextSaver.TextSaverDefaults
Constructor
TextViewer - Class in weka.gui.beans
Bean that collects and displays pieces of text
TextViewer() - Constructor for class weka.gui.beans.TextViewer
 
TextViewer - Class in weka.knowledgeflow.steps
A step for collecting and viewing textual data
TextViewer() - Constructor for class weka.knowledgeflow.steps.TextViewer
 
TextViewer.TextNotificationListener - Interface in weka.knowledgeflow.steps
Interface for listeners of textual results
TextViewerBeanInfo - Class in weka.gui.beans
Bean info class for the text viewer
TextViewerBeanInfo() - Constructor for class weka.gui.beans.TextViewerBeanInfo
 
TextViewerInteractiveView - Class in weka.gui.knowledgeflow.steps
Interactive viewer for the TextViewer step
TextViewerInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
 
TFTransformTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
TFTransformTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
theoryDL(int) - Method in class weka.classifiers.rules.RuleStats
The description length of the theory for a given rule.
ThreadSafe - Interface in weka.core
Interface to something that is thread safe
THRESHOLD_NAME - Static variable in class weka.classifiers.evaluation.CostCurve
attribute name: Threshold
THRESHOLD_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: Threshold
ThresholdCurve - Class in weka.classifiers.evaluation
Generates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes.
ThresholdCurve() - Constructor for class weka.classifiers.evaluation.ThresholdCurve
 
ThresholdDataEvent - Class in weka.gui.beans
Event encapsulating classifier performance data based on varying a threshold over the classifier's predicted probabilities
ThresholdDataEvent(Object, PlotData2D) - Constructor for class weka.gui.beans.ThresholdDataEvent
 
ThresholdDataEvent(Object, PlotData2D, Attribute) - Constructor for class weka.gui.beans.ThresholdDataEvent
 
ThresholdDataListener - Interface in weka.gui.beans
Interface to something that can accept ThresholdDataEvents
ThresholdProducingMetric - Interface in weka.classifiers.evaluation
Some evaluation measures may optimize thresholds on the class probabilities.
thresholdTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
Returns the tip text for this property
thresholdTipText() - Method in class weka.attributeSelection.GreedyStepwise
Returns the tip text for this property
thresholdTipText() - Method in class weka.attributeSelection.Ranker
Returns the tip text for this property
thresholdTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns the tip text for this property
thresholdTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
Returns the tip text for this property
ThresholdVisualizePanel - Class in weka.gui.visualize
This panel is a VisualizePanel, with the added ablility to display the area under the ROC curve if an ROC curve is chosen.
ThresholdVisualizePanel() - Constructor for class weka.gui.visualize.ThresholdVisualizePanel
default constructor
throughputFinished(Data...) - Method in interface weka.knowledgeflow.StepManager
Signal that throughput measurement has finished.
throughputFinished(Data...) - Method in class weka.knowledgeflow.StepManagerImpl
Clients can use this to indicate that throughput measuring is finished (i.e.
throughputUpdateEnd() - Method in interface weka.knowledgeflow.StepManager
End a throughput measurement.
throughputUpdateEnd() - Method in class weka.knowledgeflow.StepManagerImpl
Clients can use this to record a stop point for streaming throughput measuring
throughputUpdateStart() - Method in interface weka.knowledgeflow.StepManager
Start a throughput measurement.
throughputUpdateStart() - Method in class weka.knowledgeflow.StepManagerImpl
Clients can use this to record a start point for streaming throughput measuring
TIE_STRING - Variable in class weka.experiment.ResultMatrix
tie string.
Time - Class in weka.core.pmml.jaxbbindings
Java class for Time element declaration.
Time() - Constructor for class weka.core.pmml.jaxbbindings.Time
 
TIME - Static variable in class weka.experiment.DatabaseUtils
Type mapping for TIME used for reading TIME columns.
TimeAnchor - Class in weka.core.pmml.jaxbbindings
Java class for TimeAnchor element declaration.
TimeAnchor() - Constructor for class weka.core.pmml.jaxbbindings.TimeAnchor
 
TIMEANCHOR2 - Enum in weka.core.pmml.jaxbbindings
Java class for TIME-ANCHOR.
TimeCycle - Class in weka.core.pmml.jaxbbindings
Java class for TimeCycle element declaration.
TimeCycle() - Constructor for class weka.core.pmml.jaxbbindings.TimeCycle
 
TimeException - Class in weka.core.pmml.jaxbbindings
Java class for TimeException element declaration.
TimeException() - Constructor for class weka.core.pmml.jaxbbindings.TimeException
 
TIMEEXCEPTIONTYPE - Enum in weka.core.pmml.jaxbbindings
Java class for TIME-EXCEPTION-TYPE.
times(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
'*' times operator
TIMES - Static variable in interface weka.core.expressionlanguage.parser.sym
 
times(double) - Method in class weka.core.matrix.DoubleVector
Multiplies a scalar
times(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Multiplies another DoubleVector element by element
times(double) - Method in class weka.core.matrix.Matrix
Multiply a matrix by a scalar, C = s*A
times(Matrix) - Method in class weka.core.matrix.Matrix
Linear algebraic matrix multiplication, A * B
timesEquals(double) - Method in class weka.core.matrix.DoubleVector
Multiply a vector by a scalar in place, u = s * u
timesEquals(DoubleVector) - Method in class weka.core.matrix.DoubleVector
Multiplies another DoubleVector element by element in place
timesEquals(double) - Method in class weka.core.matrix.Matrix
Multiply a matrix by a scalar in place, A = s*A
TimeSeries - Class in weka.core.pmml.jaxbbindings
Java class for TimeSeries element declaration.
TimeSeries() - Constructor for class weka.core.pmml.jaxbbindings.TimeSeries
 
TIMESERIESALGORITHM - Enum in weka.core.pmml.jaxbbindings
Java class for TIMESERIES-ALGORITHM.
TimeSeriesDelta - Class in weka.filters.unsupervised.attribute
An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the difference between the current value and the equivalent attribute attribute value of some previous (or future) instance.
TimeSeriesDelta() - Constructor for class weka.filters.unsupervised.attribute.TimeSeriesDelta
 
TimeSeriesModel - Class in weka.core.pmml.jaxbbindings
Java class for TimeSeriesModel element declaration.
TimeSeriesModel() - Constructor for class weka.core.pmml.jaxbbindings.TimeSeriesModel
 
TimeSeriesTranslate - Class in weka.filters.unsupervised.attribute
An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the equivalent attribute values of some previous (or future) instance.
TimeSeriesTranslate() - Constructor for class weka.filters.unsupervised.attribute.TimeSeriesTranslate
 
TIMESERIESUSAGE - Enum in weka.core.pmml.jaxbbindings
Java class for TIMESERIES-USAGE.
Timestamp() - Constructor for class weka.core.Debug.Timestamp
creates a timestamp with the current date and time and the default format.
Timestamp(String) - Constructor for class weka.core.Debug.Timestamp
creates a timestamp with the current date and time and the specified format.
Timestamp(Date) - Constructor for class weka.core.Debug.Timestamp
creates a timestamp with the given date and the default format.
Timestamp(Date, String) - Constructor for class weka.core.Debug.Timestamp
creates a timestamp with the given date and format.
Timestamp - Class in weka.core.pmml.jaxbbindings
Java class for Timestamp element declaration.
Timestamp() - Constructor for class weka.core.pmml.jaxbbindings.Timestamp
 
TIMESTAMP - Static variable in class weka.experiment.DatabaseUtils
Type mapping for TIMESTAMP used for reading java.sql.Timestamp columns
TIMESTAMP_FIELD_NAME - Static variable in class weka.experiment.CrossValidationResultProducer
The name of the result field containing the timestamp
TIMESTAMP_FIELD_NAME - Static variable in class weka.experiment.ExplicitTestsetResultProducer
The name of the result field containing the timestamp.
TIMESTAMP_FIELD_NAME - Static variable in class weka.experiment.RandomSplitResultProducer
The name of the result field containing the timestamp
TimeValue - Class in weka.core.pmml.jaxbbindings
Java class for TimeValue element declaration.
TimeValue() - Constructor for class weka.core.pmml.jaxbbindings.TimeValue
 
titleUpdated(TitleUpdatedEvent) - Method in interface weka.gui.scripting.event.TitleUpdatedListener
Gets called when the title of the frame/dialog needs updating.
titleUpdated(TitleUpdatedEvent) - Method in class weka.gui.scripting.ScriptingPanel
Gets called when the title of the frame/dialog needs updating.
TitleUpdatedEvent - Class in weka.gui.scripting.event
Event that gets send in case a scripting panel updates the title.
TitleUpdatedEvent(ScriptingPanel) - Constructor for class weka.gui.scripting.event.TitleUpdatedEvent
Initializes the event.
TitleUpdatedListener - Interface in weka.gui.scripting.event
Interface for frames/dialogs that listen to changes of the title.
TO_BE_RUN - Static variable in class weka.experiment.TaskStatusInfo
 
toArray() - Method in class weka.core.Trie
Returns an array containing all of the elements in this collection.
toArray(T[]) - Method in class weka.core.Trie
Returns an array containing all of the elements in this collection; the runtime type of the returned array is that of the specified array.
toArray() - Method in class weka.core.xml.XMLOptions
returns the current DOM document as string array.
toArray() - Method in class weka.gui.CheckBoxList.CheckBoxListModel
Returns an array containing all of the elements in this list in the correct order.
toBibTex() - Method in class weka.core.TechnicalInformation
Returns a BibTex string representing this technical information.
toClassDetailsString() - Method in class weka.classifiers.evaluation.Evaluation
Generates a breakdown of the accuracy for each class (with default title), incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toClassDetailsString(String) - Method in class weka.classifiers.evaluation.Evaluation
Generates a breakdown of the accuracy for each class, incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toClassDetailsString() - Method in class weka.classifiers.Evaluation
Generates a breakdown of the accuracy for each class (with default title), incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toClassDetailsString(String) - Method in class weka.classifiers.Evaluation
Generates a breakdown of the accuracy for each class, incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toCommandLine(Object) - Static method in class weka.core.Utils
Generates a commandline of the given object.
toCommandLine() - Method in class weka.core.xml.XMLOptions
returns the given DOM document as command line.
toCumulativeMarginDistributionString() - Method in class weka.classifiers.evaluation.Evaluation
Output the cumulative margin distribution as a string suitable for input for gnuplot or similar package.
toCumulativeMarginDistributionString() - Method in class weka.classifiers.Evaluation
Output the cumulative margin distribution as a string suitable for input for gnuplot or similar package.
toDisplay() - Method in interface weka.core.CustomDisplayStringProvider
Returns the custom display string.
toDisplay() - Method in class weka.core.Range
Returns the custom display string.
toDisplay() - Method in class weka.core.SingleIndex
Returns the custom display string.
toDoubleArray() - Method in class weka.core.BinarySparseInstance
Returns the values of each attribute as an array of doubles.
toDoubleArray() - Method in class weka.core.DenseInstance
Returns the values of each attribute as an array of doubles.
toDoubleArray() - Method in interface weka.core.Instance
Returns the values of each attribute as an array of doubles.
toDoubleArray() - Method in class weka.core.SparseInstance
Returns the values of each attribute as an array of doubles.
toggleEvalMetrics(List<String>) - Method in class weka.classifiers.evaluation.Evaluation
Toggle the output of the metrics specified in the supplied list.
toggleEvalMetrics(List<String>) - Method in class weka.classifiers.Evaluation
Toggle the output of the metrics specified in the supplied list.
toggleLoadStatus(List<String>) - Static method in class weka.core.WekaPackageManager
Toggle the load status of the supplied list of package names
toHeader(JSONNode) - Static method in class weka.core.json.JSONInstances
Turns a JSON object, if possible, into an Instances object (only header).
toInstances(JSONNode) - Static method in class weka.core.json.JSONInstances
Turns a JSON object, if possible, into an Instances object.
toJSON(Instances) - Static method in class weka.core.json.JSONInstances
Turns the Instances object into a JSON object.
toJSON() - Method in class weka.knowledgeflow.Flow
Return the JSON encoded version of this Flow
toJTree(DefaultMutableTreeNode) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
 
toJTree(DefaultMutableTreeNode) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
 
toJTree(DefaultMutableTreeNode) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Get a DefaultMutableTreeNode for this node
tokenize(String) - Method in class weka.core.tokenizers.AlphabeticTokenizer
Sets the string to tokenize.
tokenize(String) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
Sets the string to tokenize.
tokenize(String) - Method in class weka.core.tokenizers.NGramTokenizer
Sets the string to tokenize.
tokenize(String) - Method in class weka.core.tokenizers.Tokenizer
Sets the string to tokenize.
tokenize(Tokenizer, String[]) - Static method in class weka.core.tokenizers.Tokenizer
initializes the given tokenizer with the given options and runs the tokenizer over all the remaining strings in the options array.
tokenize(String) - Method in class weka.core.tokenizers.WordTokenizer
Sets the string to tokenize.
tokenize(String) - Method in class weka.gui.HierarchyPropertyParser
Tokenize the given string based on the seperator and put the tokens into an array of strings
Tokenizer - Class in weka.core.tokenizers
A superclass for all tokenizer algorithms.
Tokenizer() - Constructor for class weka.core.tokenizers.Tokenizer
 
tokenizerTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property.
tokenizerTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property.
tokenizerTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
tokenizerTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
toleranceParameterTipText() - Method in class weka.classifiers.functions.SMO
Returns the tip text for this property
toleranceTipText() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Returns the tip text for this property
toMatlab() - Method in class weka.classifiers.CostMatrix
converts the Matrix into a single line Matlab string: matrix is enclosed by parentheses, rows are separated by semicolon and single cells by blanks, e.g., [1 2; 3 4].
toMatlab() - Method in class weka.core.matrix.Matrix
converts the Matrix into a single line Matlab string: matrix is enclosed by parentheses, rows are separated by semicolon and single cells by blanks, e.g., [1 2; 3 4].
toMatlab() - Method in class weka.core.Matrix
Deprecated.
converts the Matrix into a single line Matlab string: matrix is enclosed by parentheses, rows are separated by semicolon and single cells by blanks, e.g., [1 2; 3 4].
toMatrixString() - Method in class weka.classifiers.evaluation.Evaluation
Calls toMatrixString() with a default title.
toMatrixString(String) - Method in class weka.classifiers.evaluation.Evaluation
Outputs the performance statistics as a classification confusion matrix.
toMatrixString() - Method in class weka.classifiers.Evaluation
Calls toMatrixString() with a default title.
toMatrixString(String) - Method in class weka.classifiers.Evaluation
Outputs the performance statistics as a classification confusion matrix.
toMegaByte(long) - Static method in class weka.core.Memory
returns the amount of bytes as MB
toOptionList(Tag[]) - Static method in class weka.core.Tag
returns a list that can be used in the listOption methods to list all the available ID strings, e.g.: <0|1|2> or <what|ever>
toOptionSynopsis(Tag[]) - Static method in class weka.core.Tag
returns a string that can be used in the listOption methods to list all the available options, i.e., "\t\tID = Text\n" for each option
toOutput() - Method in class weka.gui.visualize.JComponentWriter
saves the current component to the currently set file.
toOutput(JComponentWriter, JComponent, File) - Static method in class weka.gui.visualize.JComponentWriter
outputs the given component with the given writer in the specified file
toOutput(JComponentWriter, JComponent, File, int, int) - Static method in class weka.gui.visualize.JComponentWriter
outputs the given component with the given writer in the specified file.
TopDownConstructor - Class in weka.core.neighboursearch.balltrees
The class implementing the TopDown construction method of ball trees.
TopDownConstructor() - Constructor for class weka.core.neighboursearch.balltrees.TopDownConstructor
Creates a new instance of TopDownConstructor.
toPMML(Instances) - Method in class weka.classifiers.functions.Logistic
Produce a PMML representation of this logistic model
toPMML(Instances, Instances, double[][], int) - Static method in class weka.classifiers.pmml.producer.LogisticProducerHelper
Produce the PMML for a Logistic classifier
toPMML(Instances) - Method in interface weka.core.pmml.PMMLProducer
Produce a PMML representation
topOfTree() - Method in class weka.classifiers.trees.m5.Rule
Returns the top of the tree.
toPrologString() - Method in class weka.datagenerators.Test
Returns the test represented by a string in Prolog notation.
toResultsString() - Method in class weka.attributeSelection.AttributeSelection
get a description of the attribute selection
toSource(String) - Method in class weka.classifiers.meta.AdaBoostM1
Returns the boosted model as Java source code.
toSource(String) - Method in class weka.classifiers.meta.LogitBoost
Returns the boosted model as Java source code.
toSource(String) - Method in class weka.classifiers.rules.OneR
Returns a string that describes the classifier as source.
toSource(String) - Method in class weka.classifiers.rules.ZeroR
Returns a string that describes the classifier as source.
toSource(String) - Method in interface weka.classifiers.Sourcable
Returns a string that describes the classifier as source.
toSource(String) - Method in class weka.classifiers.trees.DecisionStump
Returns the decision tree as Java source code.
toSource(String) - Method in class weka.classifiers.trees.j48.ClassifierTree
Returns source code for the tree as an if-then statement.
toSource(String) - Method in class weka.classifiers.trees.J48
Returns tree as an if-then statement.
toSource(String) - Method in class weka.classifiers.trees.REPTree
Returns the tree as if-then statements.
toSource(String) - Method in class weka.core.Capabilities
turns the capabilities object into source code.
toSource(String, int) - Method in class weka.core.Capabilities
turns the capabilities object into source code.
toSource(String, Instances) - Method in class weka.filters.AllFilter
Returns a string that describes the filter as source.
toSource(String, Instances) - Method in interface weka.filters.Sourcable
Returns a string that describes the filter as source.
toSource(String, Instances) - Method in class weka.filters.unsupervised.attribute.Center
Returns a string that describes the filter as source.
toSource(String, Instances) - Method in class weka.filters.unsupervised.attribute.Normalize
Returns a string that describes the filter as source.
toSource(String, Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
Returns a string that describes the filter as source.
toSource(String, Instances) - Method in class weka.filters.unsupervised.attribute.Standardize
Returns a string that describes the filter as source.
toString() - Method in class weka.associations.Apriori
Outputs the size of all the generated sets of itemsets and the rules.
toString(Instances) - Method in class weka.associations.AprioriItemSet
Returns the contents of an item set as a string.
toString() - Method in class weka.associations.AssociatorEvaluation
returns the current result
toString() - Method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
 
toString() - Method in class weka.associations.DefaultAssociationRule
Get a textual description of this rule.
toString() - Method in class weka.associations.FilteredAssociator
Output a representation of this associator
toString() - Method in class weka.associations.FPGrowth
Output the association rules.
toString() - Method in class weka.associations.Item
A string representation of this item.
toString(boolean) - Method in class weka.associations.Item
A string representation of this item, (i.e.
toString(Instances) - Method in class weka.associations.ItemSet
Returns the contents of an item set as a string.
toString(Instances, char, char) - Method in class weka.associations.ItemSet
Returns the contents of an item set as a delimited string.
toString(boolean) - Method in class weka.associations.NominalItem
A string representation of this item, (i.e.
toString(boolean) - Method in class weka.associations.NumericItem
A string representation of this item, (i.e.
toString() - Method in class weka.attributeSelection.BestFirst.Link2
 
toString() - Method in class weka.attributeSelection.BestFirst
returns a description of the search as a String
toString() - Method in class weka.attributeSelection.CfsSubsetEval
returns a string describing CFS
toString() - Method in class weka.attributeSelection.ClassifierAttributeEval
Return a description of the evaluator.
toString() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns a string describing classifierSubsetEval
toString() - Method in class weka.attributeSelection.CorrelationAttributeEval
Describe the attribute evaluator
toString() - Method in class weka.attributeSelection.GainRatioAttributeEval
Return a description of the evaluator
toString() - Method in class weka.attributeSelection.GreedyStepwise
returns a description of the search.
toString() - Method in class weka.attributeSelection.InfoGainAttributeEval
Describe the attribute evaluator
toString() - Method in class weka.attributeSelection.OneRAttributeEval
Return a description of the evaluator
toString() - Method in class weka.attributeSelection.PrincipalComponents
Returns a description of this attribute transformer
toString() - Method in class weka.attributeSelection.Ranker
returns a description of the search as a String
toString() - Method in class weka.attributeSelection.ReliefFAttributeEval
Return a description of the ReliefF attribute evaluator.
toString() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Return a description of the evaluator
toString() - Method in class weka.attributeSelection.WrapperSubsetEval
Returns a string describing the wrapper
toString() - Method in class weka.classifiers.bayes.BayesNet
Returns a description of the classifier.
toString() - Method in class weka.classifiers.bayes.NaiveBayes
Returns a description of the classifier.
toString() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
Returns a string representation of the classifier.
toString() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns a textual description of this classifier.
toString() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
Returns a string representation of the classifier.
toString() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
Returns either the net (if BIF format) or the generated instances
toString() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
Display a representation of this estimator
toString() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
 
toString() - Method in class weka.classifiers.bayes.net.MarginCalculator
 
toString() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
a string representation of the algorithm
toString() - Method in class weka.classifiers.BVDecompose
Returns description of the bias-variance decomposition results.
toString() - Method in class weka.classifiers.BVDecomposeSegCVSub
Returns description of the bias-variance decomposition results.
toString() - Method in class weka.classifiers.CostMatrix
Converts a matrix to a string.
toString() - Method in class weka.classifiers.evaluation.ConfusionMatrix
Calls toString() with a default title.
toString(String) - Method in class weka.classifiers.evaluation.ConfusionMatrix
Outputs the performance statistics as a classification confusion matrix.
toString() - Method in class weka.classifiers.evaluation.NominalPrediction
Gets a human readable representation of this prediction.
toString() - Method in class weka.classifiers.evaluation.NumericPrediction
Gets a human readable representation of this prediction.
toString() - Method in class weka.classifiers.evaluation.output.prediction.InMemory.PredictionContainer
Returns a string representation of the container.
toString() - Method in class weka.classifiers.evaluation.TwoClassStats
Returns a string containing the various performance measures for the current object
toString() - Method in class weka.classifiers.functions.GaussianProcesses
Prints out the classifier.
toString() - Method in class weka.classifiers.functions.LinearRegression
Outputs the linear regression model as a string.
toString() - Method in class weka.classifiers.functions.Logistic
Gets a string describing the classifier.
toString() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
toString() - Method in class weka.classifiers.functions.SGD
Prints out the classifier.
toString() - Method in class weka.classifiers.functions.SGDText
 
toString() - Method in class weka.classifiers.functions.SimpleLinearRegression
Returns a description of this classifier as a string
toString() - Method in class weka.classifiers.functions.SimpleLogistic
Returns a description of the logistic model (attributes/coefficients).
toString() - Method in class weka.classifiers.functions.SMO.BinarySMO
Prints out the classifier.
toString() - Method in class weka.classifiers.functions.SMO
Prints out the classifier.
toString() - Method in class weka.classifiers.functions.SMOreg
Prints out the classifier.
toString() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
returns the current result
toString() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.PolyKernel
returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.Puk
returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.RBFKernel
returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
Prints out the classifier.
toString() - Method in class weka.classifiers.functions.VotedPerceptron
Returns textual description of classifier.
toString() - Method in class weka.classifiers.lazy.IBk
Returns a description of this classifier.
toString() - Method in class weka.classifiers.lazy.KStar
Returns a description of this classifier.
toString() - Method in class weka.classifiers.lazy.LWL
Returns a description of this classifier.
toString() - Method in class weka.classifiers.meta.AdaBoostM1
Returns description of the boosted classifier.
toString() - Method in class weka.classifiers.meta.AdditiveRegression
Returns textual description of the classifier.
toString() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.Bagging
Returns description of the bagged classifier.
toString() - Method in class weka.classifiers.meta.ClassificationViaRegression
Prints the classifiers.
toString() - Method in class weka.classifiers.meta.CostSensitiveClassifier
Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.CVParameterSelection
Returns description of the cross-validated classifier.
toString() - Method in class weka.classifiers.meta.FilteredClassifier
Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns a string describing the classifier.
toString() - Method in class weka.classifiers.meta.LogitBoost
Returns description of the boosted classifier.
toString() - Method in class weka.classifiers.meta.MultiClassClassifier
Prints the classifiers.
toString() - Method in class weka.classifiers.meta.MultiScheme
Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.RandomCommittee
Returns description of the committee.
toString() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.RandomSubSpace
Returns description of the bagged classifier.
toString() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns a description of the classifier.
toString() - Method in class weka.classifiers.meta.Stacking
Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.Vote
Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
Returns a string description of the model.
toString() - Method in class weka.classifiers.misc.InputMappedClassifier
 
toString() - Method in class weka.classifiers.misc.SerializedClassifier
Returns a string representation of the classifier
toString() - Method in class weka.classifiers.pmml.consumer.GeneralRegression
Return a textual description of this general regression.
toString() - Method in class weka.classifiers.pmml.consumer.NeuralNetwork
 
toString() - Method in class weka.classifiers.pmml.consumer.Regression
Return a textual description of this Regression model.
toString() - Method in class weka.classifiers.pmml.consumer.RuleSetModel
Return a textual description of this model.
toString() - Method in class weka.classifiers.pmml.consumer.SupportVectorMachineModel
Get a textual description of this SupportVectorMachineModel
toString() - Method in class weka.classifiers.pmml.consumer.TreeModel
 
toString() - Method in class weka.classifiers.rules.DecisionTable
Returns a description of the classifier.
toString(Instances, int) - Method in class weka.classifiers.rules.DecisionTableHashKey
Convert a hash entry to a string
toString() - Method in class weka.classifiers.rules.JRip.Antd
 
toString() - Method in class weka.classifiers.rules.JRip.NominalAntd
Prints this antecedent
toString() - Method in class weka.classifiers.rules.JRip.NumericAntd
Prints this antecedent
toString(Attribute) - Method in class weka.classifiers.rules.JRip.RipperRule
Prints this rule
toString() - Method in class weka.classifiers.rules.JRip
Prints the all the rules of the rule learner.
toString() - Method in class weka.classifiers.rules.OneR
Returns a description of the classifier
toString() - Method in class weka.classifiers.rules.part.ClassifierDecList
Prints rules.
toString() - Method in class weka.classifiers.rules.part.MakeDecList
Outputs the classifier into a string.
toString() - Method in class weka.classifiers.rules.PART
Returns a description of the classifier
toString() - Method in class weka.classifiers.rules.ZeroR
Returns a description of the classifier.
toString() - Method in class weka.classifiers.trees.DecisionStump
Returns a description of the classifier.
toString() - Method in class weka.classifiers.trees.HoeffdingTree
Return a textual description of the mode
toString(boolean) - Method in class weka.classifiers.trees.ht.HNode
Print a textual description of the tree
toString() - Method in class weka.classifiers.trees.j48.ClassifierTree
Prints tree structure.
toString() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
Prints tree structure.
toString() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Return a textual description of the node
toString() - Method in class weka.classifiers.trees.J48
Returns a description of the classifier.
toString() - Method in class weka.classifiers.trees.lmt.LMTNode
Returns a description of the logistic model tree (tree structure and logistic models)
toString() - Method in class weka.classifiers.trees.lmt.LogisticBase
Returns a description of the logistic model (i.e., attributes and coefficients).
toString() - Method in class weka.classifiers.trees.LMT
Returns a description of the classifier.
toString() - Method in class weka.classifiers.trees.m5.Impurity
Converts an Impurity object to a string
toString() - Method in class weka.classifiers.trees.m5.M5Base
Returns a description of the classifier
toString() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
Returns a textual description of this linear model
toString() - Method in class weka.classifiers.trees.m5.Rule
Return a description of the m5 tree or rule
toString() - Method in class weka.classifiers.trees.m5.RuleNode
print the linear model at this node
toString() - Method in class weka.classifiers.trees.m5.Values
Converts the stats to a string
toString(Instances) - Method in class weka.classifiers.trees.m5.YongSplitInfo
Converts the spliting information to string
toString() - Method in class weka.classifiers.trees.RandomForest
Returns description of the bagged classifier.
toString() - Method in class weka.classifiers.trees.RandomTree
Outputs the decision tree.
toString() - Method in class weka.classifiers.trees.REPTree
Outputs the decision tree.
toString(boolean) - Method in class weka.clusterers.Canopy
Return a textual description of this clusterer
toString() - Method in class weka.clusterers.Canopy
 
toString() - Method in class weka.clusterers.Cobweb
Returns a description of the clusterer as a string.
toString() - Method in class weka.clusterers.EM
Outputs the generated clusters into a string.
toString() - Method in class weka.clusterers.FarthestFirst
return a string describing this clusterer
toString() - Method in class weka.clusterers.FilteredClusterer
Output a representation of this clusterer.
toString() - Method in class weka.clusterers.HierarchicalClusterer
 
toString() - Method in class weka.clusterers.MakeDensityBasedClusterer
Returns a description of the clusterer.
toString() - Method in class weka.clusterers.SimpleKMeans
return a string describing this clusterer.
toString() - Method in class weka.core.AbstractInstance
Returns the description of one instance.
toString(int) - Method in class weka.core.AbstractInstance
Returns the description of one value of the instance as a string.
toString(int, int) - Method in class weka.core.AbstractInstance
Returns the description of one value of the instance as a string.
toString(Attribute) - Method in class weka.core.AbstractInstance
Returns the description of one value of the instance as a string.
toString(Attribute, int) - Method in class weka.core.AbstractInstance
Returns the description of one value of the instance as a string.
toString() - Method in class weka.core.AlgVector
Converts a vector to a string
toString() - Method in class weka.core.Attribute
Returns a description of this attribute in ARFF format.
toString() - Method in class weka.core.AttributeLocator
returns a string representation of this object
toString() - Method in class weka.core.AttributeStats
Returns a human readable representation of this AttributeStats instance.
toString() - Method in class weka.core.BinarySparseInstance
Returns the description of one instance in sparse format.
toString() - Method in enum weka.core.Capabilities.Capability
returns the display string of the capability
toString() - Method in class weka.core.Capabilities
returns a string representation of the capabilities
toString() - Method in class weka.core.Debug.Clock
returns the elapsed time, getStop() - getStart(), as string
toString() - Method in class weka.core.Debug.Log
returns a string representation of the logger
toString() - Method in class weka.core.Debug.Random
returns a string representation of this number generator
toString() - Method in class weka.core.Debug.SimpleLog
returns a string representation of the logger
toString() - Method in class weka.core.Debug.Timestamp
returns the timestamp as string in the specified format
toString(int, int) - Method in interface weka.core.Instance
Returns the description of one value of the instance as a string.
toString(int) - Method in interface weka.core.Instance
Returns the description of one value of the instance as a string.
toString(Attribute, int) - Method in interface weka.core.Instance
Returns the description of one value of the instance as a string.
toString(Attribute) - Method in interface weka.core.Instance
Returns the description of one value of the instance as a string.
toString() - Method in class weka.core.Instances
Returns the dataset as a string in ARFF format.
toString(StringBuffer) - Method in class weka.core.json.JSONNode
Dumps the node structure into JSON format.
toString() - Method in class weka.core.json.JSONNode
Returns a string representation of the node.
toString() - Method in class weka.core.matrix.DoubleVector
Convert the DoubleVecor to a string
toString(int, boolean) - Method in class weka.core.matrix.DoubleVector
Convert the DoubleVecor to a string
toString() - Method in class weka.core.matrix.IntVector
Converts the IntVecor to a string
toString(int, boolean) - Method in class weka.core.matrix.IntVector
Convert the IntVecor to a string
toString() - Method in class weka.core.matrix.LinearRegression
returns the coefficients in a string representation
toString() - Method in class weka.core.matrix.Matrix
Converts a matrix to a string.
toString() - Method in class weka.core.Matrix
Deprecated.
Converts a matrix to a string
toString() - Method in class weka.core.NormalizableDistance
Returns an empty string.
toString() - Method in class weka.core.packageManagement.DefaultPackage
 
toString() - Method in class weka.core.packageManagement.Dependency
 
toString() - Method in class weka.core.packageManagement.VersionPackageConstraint
 
toString() - Method in enum weka.core.packageManagement.VersionPackageConstraint.VersionComparison
 
toString() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
 
toString() - Method in enum weka.core.pmml.Array.ArrayType
 
toString() - Method in class weka.core.pmml.Array
 
toString() - Method in class weka.core.pmml.BuiltInArithmetic
 
toString(String) - Method in class weka.core.pmml.BuiltInArithmetic
 
toString() - Method in class weka.core.pmml.BuiltInMath
 
toString() - Method in class weka.core.pmml.BuiltInString
 
toString(String) - Method in class weka.core.pmml.Constant
 
toString() - Method in class weka.core.pmml.DefineFunction
 
toString(String) - Method in class weka.core.pmml.DefineFunction
 
toString() - Method in class weka.core.pmml.DerivedFieldMetaInfo
 
toString(String) - Method in class weka.core.pmml.Discretize
 
toString() - Method in class weka.core.pmml.Expression
 
toString(String) - Method in class weka.core.pmml.Expression
 
toString() - Method in enum weka.core.pmml.FieldMetaInfo.Interval.Closure
 
toString(double, double) - Method in enum weka.core.pmml.FieldMetaInfo.Interval.Closure
 
toString() - Method in class weka.core.pmml.FieldMetaInfo.Interval
 
toString() - Method in enum weka.core.pmml.FieldMetaInfo.Optype
 
toString() - Method in enum weka.core.pmml.FieldMetaInfo.Value.Property
 
toString() - Method in class weka.core.pmml.FieldMetaInfo.Value
 
toString(String) - Method in class weka.core.pmml.FieldRef
 
toString() - Method in class weka.core.pmml.Function
 
toString(String) - Method in class weka.core.pmml.Function
 
toString() - Method in class weka.core.pmml.MiningFieldMetaInfo
Return a textual representation of this MiningField.
toString() - Method in class weka.core.pmml.MiningSchema
Get a textual description of the mining schema.
toString(String) - Method in class weka.core.pmml.NormContinuous
 
toString(String) - Method in class weka.core.pmml.NormDiscrete
 
toString() - Method in class weka.core.pmml.SparseArray
 
toString() - Method in class weka.core.PropertyPath.Path
returns the structure again as a dot-path
toString() - Method in class weka.core.PropertyPath.PathElement
returns the element once again as string
toString() - Method in class weka.core.Queue
Produces textual description of queue.
toString() - Method in class weka.core.Range
Constructs a representation of the current range.
toString() - Method in class weka.core.SelectedTag
returns the selected tag in string representation
toString() - Method in class weka.core.Settings.SettingKey
Return the description (display name) of this setting
toString() - Method in class weka.core.SingleIndex
Constructs a representation of the current range.
toString() - Method in class weka.core.stemmers.LovinsStemmer
returns a string representation of the stemmer
toString() - Method in class weka.core.stemmers.NullStemmer
returns a string representation of the stemmer
toString() - Method in class weka.core.stemmers.SnowballStemmer
returns a string representation of the stemmer.
toString() - Method in class weka.core.Stopwords
returns the current stopwords in a string
toString() - Method in class weka.core.SystemInfo
returns a string representation of all the system properties
toString() - Method in class weka.core.Tag
returns the IDStr
toString() - Method in enum weka.core.TechnicalInformation.Field
returns the display string of the Type
toString() - Method in class weka.core.TechnicalInformation
Returns a plain-text string representing this technical information.
toString() - Method in enum weka.core.TechnicalInformation.Type
returns the display string of the Type
toString() - Method in class weka.core.Tee
returns only the classname and the number of streams.
toString() - Method in class weka.core.TestInstances
returns a string representation of the object
toString() - Method in class weka.core.Trie
returns the trie in string representation
toString() - Method in class weka.core.Trie.TrieNode
returns the node in a string representation
toString() - Method in class weka.core.Version
returns the current version as string
toString() - Method in class weka.core.WekaPackageLibIsolatingClassLoader
String representation of this classloader
toString() - Method in class weka.core.xml.MethodHandler
returns the internal Hashtable (propety/class - method relationship) in a string representation
toString() - Method in class weka.core.xml.XMLDocument
returns the current DOM document as XML-string.
toString() - Method in class weka.core.xml.XMLOptions
returns the object in a string representation (as indented XML output).
toString() - Method in class weka.core.xml.XMLSerializationMethodHandler
returns the read and write method handlers as string
toString() - Method in class weka.datagenerators.ClusterDefinition
returns a string representation of the cluster
toString() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Make a string from the cluster features.
toString() - Method in class weka.datagenerators.Test
Returns the test represented by a string.
toString() - Method in class weka.estimators.DDConditionalEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.DiscreteEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.DKConditionalEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.DNConditionalEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.KDConditionalEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.KernelEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.KKConditionalEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.MahalanobisEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.MultivariateGaussianEstimator
Returns string summarizing the estimator.
toString() - Method in class weka.estimators.NDConditionalEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.NNConditionalEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.NormalEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.PoissonEstimator
Display a representation of this estimator
toString() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
Returns textual description of this estimator.
toString() - Method in class weka.estimators.UnivariateKernelEstimator
Returns textual description of this estimator.
toString() - Method in class weka.estimators.UnivariateMixtureEstimator.MM
Returns string describing the estimator.
toString() - Method in class weka.estimators.UnivariateMixtureEstimator
Returns textual description of this estimator.
toString() - Method in class weka.estimators.UnivariateNormalEstimator
Returns textual description of this estimator.
toString() - Method in class weka.experiment.AveragingResultProducer
Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.ClassifierSplitEvaluator
Returns a text description of the split evaluator.
toString() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Returns a text description of the split evaluator.
toString() - Method in class weka.experiment.CrossValidationResultProducer
Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.CrossValidationSplitResultProducer
Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.DatabaseResultProducer
Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
Returns a text description of the split evaluator.
toString() - Method in class weka.experiment.Experiment
Gets a string representation of the experiment configuration.
toString() - Method in class weka.experiment.ExplicitTestsetResultProducer
Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.LearningRateResultProducer
Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.PairedStats
Returns statistics on the paired comparison.
toString() - Method in class weka.experiment.PropertyNode
Returns a string description of this property.
toString() - Method in class weka.experiment.RandomSplitResultProducer
Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.RegressionSplitEvaluator
Returns a text description of the split evaluator.
toString() - Method in class weka.experiment.RemoteExperiment
Overides toString in Experiment
toString() - Method in class weka.experiment.ResultMatrix
returns the matrix as a string.
toString() - Method in class weka.experiment.Stats
Returns a string summarising the stats so far.
toString() - Method in class weka.filters.Filter
Returns a description of the filter, by default only the classname.
toString() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
Return a nicely formatted string for display
toString() - Method in class weka.gui.AbstractPerspective
Returns the perspective's title
toString() - Method in class weka.gui.arffviewer.ArffViewer
returns only the classname
toString() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
returns only the classname
toString() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Return a textual description of this match rule
toString() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Return a textual description of this rule
toString() - Method in class weka.gui.experiment.AbstractSetupPanel
Just returns the name of the panel.
toString() - Method in class weka.gui.GenericObjectEditor.GOETreeNode
returns a string representation of this treenode.
toString() - Method in class weka.gui.graphvisualizer.GraphEdge
 
toString() - Method in enum weka.gui.knowledgeflow.MainKFPerspectiveToolBar.Widgets
 
toString() - Method in class weka.gui.knowledgeflow.StepTreeLeafDetails
Returns the leaf label
toString() - Method in class weka.gui.scripting.Script
Returns the content as string.
toString() - Method in class weka.gui.SortedTableModel.SortContainer
Returns a string representation of the sort container.
toString() - Method in class weka.gui.sql.event.ConnectionEvent
returns the event in a string representation
toString() - Method in class weka.gui.sql.event.HistoryChangedEvent
returns the event in a string representation
toString() - Method in class weka.gui.sql.event.QueryExecuteEvent
returns the event in a string representation
toString() - Method in class weka.gui.sql.event.ResultChangedEvent
returns the event in a string representation
toString() - Method in enum weka.knowledgeflow.LoggingLevel
String representation
toString() - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
 
toString() - Method in enum weka.knowledgeflow.steps.FlowByExpression.ExpressionClause.ExpressionType
 
toString() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
 
toString() - Method in class weka.knowledgeflow.steps.Sorter.SortRule
Prints the rule in human readable format
toString() - Method in enum weka.Run.SchemeType
 
toStringDisplay(StringBuffer) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
 
toStringDisplay(StringBuffer) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
 
toStringDisplay(StringBuffer) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Get the display representation of this node
toStringHeader() - Method in class weka.experiment.ResultMatrix
returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixCSV
returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixHTML
returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixLatex
returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixPlainText
returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixSignificance
returns the header of the matrix as a string.
toStringInternal() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
 
toStringInternal() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
Get the internal representation of this rule
toStringInternal() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
Return the internally encoded representation of this rule
toStringInternal(StringBuffer) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
 
toStringInternal(StringBuffer) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
 
toStringInternal(StringBuffer) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
Get the internal representation of this node
toStringInternal() - Method in class weka.knowledgeflow.steps.Sorter.SortRule
Gets the rule in internal format
toStringKey() - Method in class weka.experiment.ResultMatrix
returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixCSV
returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixGnuPlot
returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixHTML
returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixLatex
returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixPlainText
returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixSignificance
returns returns a key for all the col names, for better readability if the names got cut off.
toStringMatrix() - Method in class weka.experiment.ResultMatrix
returns the matrix as a string.
toStringMatrix() - Method in class weka.experiment.ResultMatrixCSV
returns the matrix in CSV format.
toStringMatrix() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the matrix in CSV format.
toStringMatrix() - Method in class weka.experiment.ResultMatrixHTML
returns the matrix in an HTML table.
toStringMatrix() - Method in class weka.experiment.ResultMatrixLatex
returns the matrix as latex table.
toStringMatrix() - Method in class weka.experiment.ResultMatrixPlainText
returns the matrix as plain text.
toStringMatrix() - Method in class weka.experiment.ResultMatrixSignificance
returns the matrix as plain text.
toStringMaxDecimalDigits(int) - Method in class weka.core.AbstractInstance
Returns the description of one instance with any numeric values printed at the supplied maximum number of decimal places.
toStringMaxDecimalDigits(int) - Method in interface weka.core.Instance
Returns the description of one instance with any numeric values printed at the supplied maximum number of decimal places.
toStringMetric(int, int, int, int) - Method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
 
toStringNoWeight() - Method in class weka.core.DenseInstance
Returns the description of one instance (without weight appended).
toStringNoWeight(int) - Method in class weka.core.DenseInstance
Returns the description of one instance (without weight appended).
toStringNoWeight(int) - Method in interface weka.core.Instance
Returns the description of one instance (without weight appended).
toStringNoWeight() - Method in interface weka.core.Instance
Returns the description of one instance (without weight appended).
toStringNoWeight() - Method in class weka.core.SparseInstance
Returns the description of one instance in sparse format.
toStringNoWeight(int) - Method in class weka.core.SparseInstance
Returns the description of one instance in sparse format.
toStringRanking() - Method in class weka.experiment.ResultMatrix
returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixCSV
returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixHTML
returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixLatex
returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixPlainText
returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixSignificance
returns the ranking in a string representation.
toStringSummary() - Method in class weka.experiment.ResultMatrix
returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixCSV
returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixGnuPlot
returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixHTML
returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixLatex
returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixPlainText
returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixSignificance
returns the summary as string.
toSummaryString() - Method in class weka.associations.AssociatorEvaluation
returns a summary string of the evaluation with a no title
toSummaryString(String) - Method in class weka.associations.AssociatorEvaluation
returns a summary string of the evaluation with a default title
toSummaryString() - Method in class weka.classifiers.evaluation.Evaluation
Calls toSummaryString() with no title and no complexity stats.
toSummaryString(boolean) - Method in class weka.classifiers.evaluation.Evaluation
Calls toSummaryString() with a default title.
toSummaryString(String, boolean) - Method in class weka.classifiers.evaluation.Evaluation
Outputs the performance statistics in summary form.
toSummaryString() - Method in interface weka.classifiers.evaluation.InformationTheoreticEvaluationMetric
Return a formatted string (suitable for displaying in console or GUI output) containing all the statistics that this metric computes.
toSummaryString() - Method in interface weka.classifiers.evaluation.IntervalBasedEvaluationMetric
Return a formatted string (suitable for displaying in console or GUI output) containing all the statistics that this metric computes.
toSummaryString() - Method in interface weka.classifiers.evaluation.StandardEvaluationMetric
Return a formatted string (suitable for displaying in console or GUI output) containing all the statistics that this metric computes.
toSummaryString() - Method in class weka.classifiers.Evaluation
Calls toSummaryString() with no title and no complexity stats.
toSummaryString(boolean) - Method in class weka.classifiers.Evaluation
Calls toSummaryString() with a default title.
toSummaryString(String, boolean) - Method in class weka.classifiers.Evaluation
Outputs the performance statistics in summary form.
toSummaryString() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
returns a summary string of the evaluation with a no title
toSummaryString(String) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
returns a summary string of the evaluation with a default title
toSummaryString() - Method in class weka.classifiers.meta.CVParameterSelection
A concise description of the model.
toSummaryString() - Method in class weka.classifiers.rules.PART
Returns a superconcise version of the model
toSummaryString() - Method in class weka.classifiers.trees.J48
Returns a superconcise version of the model
toSummaryString() - Method in class weka.core.Instances
Generates a string summarizing the set of instances.
toSummaryString() - Method in interface weka.core.Summarizable
Returns a string that summarizes the object.
total() - Method in class weka.classifiers.evaluation.ConfusionMatrix
Gets the number of predictions that were made (actually the sum of the weights of predictions where the class value was known).
total() - Method in class weka.classifiers.trees.j48.Distribution
Returns total number of (possibly fractional) instances.
TOTAL_UNIFORM - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
cluster type: total uniform
totalCost() - Method in class weka.classifiers.evaluation.Evaluation
Gets the total cost, that is, the cost of each prediction times the weight of the instance, summed over all instances.
totalCost() - Method in class weka.classifiers.Evaluation
Gets the total cost, that is, the cost of each prediction times the weight of the instance, summed over all instances.
totalCount - Variable in class weka.core.AttributeStats
The total number of values (i.e.
totalWeight() - Method in class weka.classifiers.trees.ht.HNode
Return the total weight of instances seen at this node
toXML(int, int, int, int) - Method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
 
toXML(Object) - Method in class weka.core.xml.XMLSerialization
extracts all accesible properties from the given object
toXMLBIF03() - Method in class weka.classifiers.bayes.BayesNet
Returns a description of the classifier in XML BIF 0.3 format.
toXMLBIF03() - Method in class weka.classifiers.bayes.net.EditableBayesNet
returns network in XMLBIF format
toXMLBIF03(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
return fragment of network in XMLBIF format
toXMLBIF03() - Method in class weka.classifiers.bayes.net.MarginCalculator
 
TP_RATE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: True Positive Rate
trace() - Method in class weka.core.matrix.Matrix
Matrix trace.
trainCV(int, int) - Method in class weka.core.Instances
Creates the training set for one fold of a cross-validation on the dataset.
trainCV(int, int, Random) - Method in class weka.core.Instances
Creates the training set for one fold of a cross-validation on the dataset.
TRAINING - Static variable in class weka.gui.beans.BatchClustererEvent
 
TrainingInstances - Class in weka.core.pmml.jaxbbindings
Java class for TrainingInstances element declaration.
TrainingInstances() - Constructor for class weka.core.pmml.jaxbbindings.TrainingInstances
 
TrainingSetEvent - Class in weka.gui.beans
Event encapsulating a training set
TrainingSetEvent(Object, Instances) - Constructor for class weka.gui.beans.TrainingSetEvent
Creates a new TrainingSetEvent
TrainingSetEvent(Object, Instances, int, int) - Constructor for class weka.gui.beans.TrainingSetEvent
Creates a new TrainingSetEvent
TrainingSetEvent(Object, Instances, int, int, int, int) - Constructor for class weka.gui.beans.TrainingSetEvent
Creates a new TrainingSetEvent
TrainingSetListener - Interface in weka.gui.beans
Interface to something that can accept and process training set events
TrainingSetMaker - Class in weka.gui.beans
Bean that accepts a data sets and produces a training set
TrainingSetMaker() - Constructor for class weka.gui.beans.TrainingSetMaker
 
TrainingSetMaker - Class in weka.knowledgeflow.steps
Step that converts an incoming dataSet or testSet into a trainingSet.
TrainingSetMaker() - Constructor for class weka.knowledgeflow.steps.TrainingSetMaker
 
TrainingSetMakerBeanInfo - Class in weka.gui.beans
Bean info class for the training set maker bean
TrainingSetMakerBeanInfo() - Constructor for class weka.gui.beans.TrainingSetMakerBeanInfo
 
TrainingSetProducer - Interface in weka.gui.beans
Interface to something that can produce a training set
trainingTimeTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
trainPercentTipText() - Method in class weka.experiment.RandomSplitResultProducer
Returns the tip text for this property
trainPercentTipText() - Method in class weka.gui.beans.TrainTestSplitMaker
Tip text info for this property
TrainTestSplitMaker - Class in weka.gui.beans
Bean that accepts data sets, training sets, test sets and produces both a training and test set by randomly spliting the data
TrainTestSplitMaker() - Constructor for class weka.gui.beans.TrainTestSplitMaker
 
TrainTestSplitMaker - Class in weka.knowledgeflow.steps
A step that creates a random train/test split from an incoming data set.
TrainTestSplitMaker() - Constructor for class weka.knowledgeflow.steps.TrainTestSplitMaker
 
TrainTestSplitMakerBeanInfo - Class in weka.gui.beans
Bean info class for the train test split maker bean
TrainTestSplitMakerBeanInfo() - Constructor for class weka.gui.beans.TrainTestSplitMakerBeanInfo
 
TrainTestSplitMakerCustomizer - Class in weka.gui.beans
GUI customizer for the train test split maker bean
TrainTestSplitMakerCustomizer() - Constructor for class weka.gui.beans.TrainTestSplitMakerCustomizer
 
transactionsMustContainTipText() - Method in class weka.associations.FPGrowth
Returns the tip text for this property
transform(AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
 
transformAllValuesTipText() - Method in class weka.filters.supervised.attribute.NominalToBinary
Returns the tip text for this property
transformAllValuesTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
Returns the tip text for this property
TransformationDictionary - Class in weka.core.pmml.jaxbbindings
Java class for TransformationDictionary element declaration.
TransformationDictionary() - Constructor for class weka.core.pmml.jaxbbindings.TransformationDictionary
 
transformBackToOriginalTipText() - Method in class weka.attributeSelection.PrincipalComponents
Returns the tip text for this property
transformedData(Instances) - Method in interface weka.attributeSelection.AttributeTransformer
Transform the supplied data set (assumed to be the same format as the training data)
transformedData(Instances) - Method in class weka.attributeSelection.PrincipalComponents
Gets the transformed training data.
transformedHeader() - Method in interface weka.attributeSelection.AttributeTransformer
Returns just the header for the transformed data (ie.
transformedHeader() - Method in class weka.attributeSelection.PrincipalComponents
Returns just the header for the transformed data (ie.
translate(int, int) - Method in class weka.gui.visualize.PostscriptGraphics
Translates the origin of the graphics context to the point (x, y) in the current coordinate system.
translate(double, double) - Method in class weka.gui.visualize.PostscriptGraphics
 
translateDBColumnType(String) - Method in class weka.experiment.DatabaseUtils
translates the column data type string to an integer value that indicates which data type / get()-Method to use in order to retrieve values from the database (see DatabaseUtils.Properties, InstanceQuery()).
translateDBColumnType(String) - Method in interface weka.experiment.InstanceQueryAdapter
translates the column data type string to an integer value that indicates which data type / get()-Method to use in order to retrieve values from the database (see DatabaseUtils.Properties, InstanceQuery()).
translationTipText() - Method in class weka.filters.unsupervised.attribute.Normalize
Returns the tip text for this property.
transpose() - Method in class weka.core.matrix.Matrix
Matrix transpose.
transpose() - Method in class weka.core.Matrix
Deprecated.
Returns the transpose of a matrix.
Transpose - Class in weka.filters.unsupervised.attribute
Transposes the data: instances become attributes and attributes become instances.
Transpose() - Constructor for class weka.filters.unsupervised.attribute.Transpose
 
transProb() - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
Calculates the probability of the indexed nominal attribute of the test instance transforming into the indexed nominal attribute of the training instance.
transProb() - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
Calculates the transformation probability of the attribute indexed "m_AttrIndex" in test instance "m_Test" to the same attribute in the train instance "m_Train".
treatMissingValuesAsZeroTipText() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
Returns the tip text for this property
treatZeroAsMissingTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
TREE - Static variable in interface weka.core.Drawable
 
TreeBuild - Class in weka.gui.treevisualizer
This class will parse a dotty file and construct a tree structure from it with Edge's and Node's
TreeBuild() - Constructor for class weka.gui.treevisualizer.TreeBuild
Upon construction this will only setup the color table for quick reference of a color.
TreeDisplayEvent - Class in weka.gui.treevisualizer
An event containing the user selection from the tree display
TreeDisplayEvent(int, String) - Constructor for class weka.gui.treevisualizer.TreeDisplayEvent
Constructs an event with the specified command and what the command is applied to.
TreeDisplayListener - Interface in weka.gui.treevisualizer
Interface implemented by classes that wish to recieve user selection events from a tree displayer.
treeErrors() - Method in class weka.classifiers.trees.lmt.LMTNode
Updates the numIncorrectTree field for all nodes.
TreeModel - Class in weka.classifiers.pmml.consumer
Class implementing import of PMML TreeModel.
TreeModel(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.TreeModel
 
TreeModel - Class in weka.core.pmml.jaxbbindings
Java class for TreeModel element declaration.
TreeModel() - Constructor for class weka.core.pmml.jaxbbindings.TreeModel
 
TreePerformanceStats - Class in weka.core.neighboursearch
The class that measures the performance of a tree based nearest neighbour search algorithm.
TreePerformanceStats() - Constructor for class weka.core.neighboursearch.TreePerformanceStats
Default constructor.
treeToString(int) - Method in class weka.classifiers.trees.m5.RuleNode
Recursively builds a textual description of the tree
TreeVisualizePlugin - Interface in weka.gui.visualize.plugins
Interface implemented by classes loaded dynamically to visualize classifier results in the explorer.
TreeVisualizer - Class in weka.gui.treevisualizer
Class for displaying a Node structure in Swing.
TreeVisualizer(TreeDisplayListener, String, NodePlace) - Constructor for class weka.gui.treevisualizer.TreeVisualizer
Constructs Displayer to display a tree provided in a dot format.
TreeVisualizer(TreeDisplayListener, Node, NodePlace) - Constructor for class weka.gui.treevisualizer.TreeVisualizer
Constructs Displayer with the specified Node as the top of the tree, and uses the NodePlacer to place the Nodes.
TrendExpoSmooth - Class in weka.core.pmml.jaxbbindings
Java class for Trend_ExpoSmooth element declaration.
TrendExpoSmooth() - Constructor for class weka.core.pmml.jaxbbindings.TrendExpoSmooth
 
TRIANGLEDOWN_SHAPE - Static variable in class weka.gui.visualize.Plot2D
 
TRIANGLEUP_SHAPE - Static variable in class weka.gui.visualize.Plot2D
 
TRICUBE - Static variable in class weka.classifiers.lazy.LWL
 
Trie - Class in weka.core
A class representing a Trie data structure for strings.
Trie() - Constructor for class weka.core.Trie
initializes the data structure
Trie.TrieIterator - Class in weka.core
Represents an iterator over a trie
Trie.TrieNode - Class in weka.core
Represents a node in the trie.
TrieIterator(Trie.TrieNode) - Constructor for class weka.core.Trie.TrieIterator
initializes the iterator
TrieNode(char) - Constructor for class weka.core.Trie.TrieNode
initializes the node
TrieNode(Character) - Constructor for class weka.core.Trie.TrieNode
initializes the node
trim() - Method in class weka.gui.LogWindow
trims the JTextPane, if too big
trimTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
Returns the tip text for this property
True - Class in weka.core.pmml.jaxbbindings
Java class for True element declaration.
True() - Constructor for class weka.core.pmml.jaxbbindings.True
 
TRUE_NEG_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: True Negatives
TRUE_POS_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
attribute name: True Positives
trueClassCounts() - Method in class weka.classifiers.evaluation.Evaluation
Returns the number (really, weight) of instances in each class.
trueNegativeRate(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the true negative rate with respect to a particular class.
trueNegativeRate(int, double) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the true negative rate with respect to a particular class.
trueNegativeRate(int) - Method in class weka.classifiers.Evaluation
Calculate the true negative rate with respect to a particular class.
truePositiveRate(int) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the true positive rate with respect to a particular class.
truePositiveRate(int, double) - Method in class weka.classifiers.evaluation.Evaluation
Calculate the true positive rate with respect to a particular class.
truePositiveRate(int) - Method in class weka.classifiers.Evaluation
Calculate the true positive rate with respect to a particular class.
truncateTipText() - Method in class weka.core.converters.DatabaseSaver
Returns the tip text for this property.
TStartTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
 
TStartTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
 
turnChecksOff() - Method in class weka.classifiers.functions.LinearRegression
Turns off checks for missing values, etc.
turnChecksOff() - Method in class weka.classifiers.functions.SMO
Turns off checks for missing values, etc.
turnChecksOn() - Method in class weka.classifiers.functions.LinearRegression
Turns on checks for missing values, etc.
turnChecksOn() - Method in class weka.classifiers.functions.SMO
Turns on checks for missing values, etc.
TwoClassStats - Class in weka.classifiers.evaluation
Encapsulates performance functions for two-class problems.
TwoClassStats(double, double, double, double) - Constructor for class weka.classifiers.evaluation.TwoClassStats
Creates the TwoClassStats with the given initial performance values.
type() - Method in class weka.core.Attribute
Returns the attribute's type as an integer.
TYPE - Static variable in class weka.core.json.JSONInstances
the type attribute.
type - Variable in class weka.gui.graphvisualizer.GraphEdge
The type of Edge
typeIsNumeric(int) - Static method in class weka.gui.sql.ResultSetHelper
returns whether the SQL type is numeric (and therefore the justification should be right).
typeName(int) - Static method in class weka.experiment.DatabaseUtils
Returns the name associated with a SQL type.
typeToClass(int) - Static method in class weka.gui.sql.ResultSetHelper
Returns the class associated with a SQL type.
typeToString(Attribute) - Static method in class weka.core.Attribute
Returns a string representation of the attribute type.
typeToString(int) - Static method in class weka.core.Attribute
Returns a string representation of the attribute type.
typeToStringShort(Attribute) - Static method in class weka.core.Attribute
Returns a short string representation of the attribute type.
typeToStringShort(int) - Static method in class weka.core.Attribute
Returns a short string representation of the attribute type.

U

uminus(Node) - Static method in class weka.core.expressionlanguage.common.Operators
'-' unary minus operator
UMINUS - Static variable in interface weka.core.expressionlanguage.parser.sym
 
uminus() - Method in class weka.core.matrix.Matrix
Unary minus
UnassignedClassException - Exception in weka.core
Exception that is raised when trying to use some data that has no class assigned to it, but a class is needed to perform the operation.
UnassignedClassException() - Constructor for exception weka.core.UnassignedClassException
Creates a new UnassignedClassException with no message.
UnassignedClassException(String) - Constructor for exception weka.core.UnassignedClassException
Creates a new UnassignedClassException.
UnassignedDatasetException - Exception in weka.core
Exception that is raised when trying to use something that has no reference to a dataset, when one is required.
UnassignedDatasetException() - Constructor for exception weka.core.UnassignedDatasetException
Creates a new UnassignedDatasetException with no message.
UnassignedDatasetException(String) - Constructor for exception weka.core.UnassignedDatasetException
Creates a new UnassignedDatasetException.
unbackQuoteChars(String) - Static method in class weka.core.Utils
The inverse operation of backQuoteChars().
unclassified() - Method in class weka.classifiers.evaluation.Evaluation
Gets the number of instances not classified (that is, for which no prediction was made by the classifier).
unclassified() - Method in class weka.classifiers.Evaluation
Gets the number of instances not classified (that is, for which no prediction was made by the classifier).
UNCONNECTED - Static variable in class weka.classifiers.functions.neural.NeuralConnection
This unit is not connected to any others.
undefinedDistribution - Static variable in class weka.core.matrix.Maths
Distribution type: undefined
undo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
undo the last edit action performed on the network.
undo() - Method in interface weka.core.Undoable
undoes the last action
undo() - Method in class weka.gui.arffviewer.ArffPanel
performs an undo action
undo() - Method in class weka.gui.arffviewer.ArffSortedTableModel
undoes the last action
undo() - Method in class weka.gui.arffviewer.ArffTableModel
undoes the last action
undo() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
undoes the last action
undo() - Method in class weka.gui.explorer.PreprocessPanel
Reverts to the last backed up version of the dataset.
UNDO_DIR - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
UNDO_DIR_KEY - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
 
Undoable - Interface in weka.core
Interface implemented by classes that support undo.
UNHANDLED_DIALOG - Static variable in class weka.gui.ConverterFileChooser
unhandled type of dialog.
UNIFORM_RANDOM - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
cluster type: uniform/random
UniformDistribution - Class in weka.core.pmml.jaxbbindings
Java class for UniformDistribution element declaration.
UniformDistribution() - Constructor for class weka.core.pmml.jaxbbindings.UniformDistribution
 
uninstallPackage(String, PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
Uninstall a package.
uninstallPackage(String, PrintStream...) - Method in class weka.core.packageManagement.PackageManager
Uninstall a package.
uninstallPackage(String, boolean, PrintStream...) - Static method in class weka.core.WekaPackageManager
Uninstall a named package
uniqueCount - Variable in class weka.core.AttributeStats
The number of values that only appear once
UnivariateDensityEstimator - Interface in weka.estimators
Interface that can be implemented by simple weighted univariate density estimators.
UnivariateEqualFrequencyHistogramEstimator - Class in weka.estimators
Simple histogram density estimator.
UnivariateEqualFrequencyHistogramEstimator() - Constructor for class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
 
UnivariateIntervalEstimator - Interface in weka.estimators
Interface that can be implemented by simple weighted univariate interval estimators.
UnivariateKernelEstimator - Class in weka.estimators
Simple weighted kernel density estimator.
UnivariateKernelEstimator() - Constructor for class weka.estimators.UnivariateKernelEstimator
 
UnivariateMixtureEstimator - Class in weka.estimators
Simple weighted mixture density estimator.
UnivariateMixtureEstimator() - Constructor for class weka.estimators.UnivariateMixtureEstimator
 
UnivariateMixtureEstimator.MM - Class in weka.estimators
Fast univariate mixture model implementation.
UnivariateNominalMultiwaySplit - Class in weka.classifiers.trees.ht
A multiway split based on a single nominal attribute
UnivariateNominalMultiwaySplit(String) - Constructor for class weka.classifiers.trees.ht.UnivariateNominalMultiwaySplit
Constructor
UnivariateNormalEstimator - Class in weka.estimators
Simple weighted normal density estimator.
UnivariateNormalEstimator() - Constructor for class weka.estimators.UnivariateNormalEstimator
 
UnivariateNumericBinarySplit - Class in weka.classifiers.trees.ht
A binary split based on a single numeric attribute
UnivariateNumericBinarySplit(String, double) - Constructor for class weka.classifiers.trees.ht.UnivariateNumericBinarySplit
Constructor
UnivariateQuantileEstimator - Interface in weka.estimators
Interface that can be implemented by simple weighted univariate quantile estimators.
UnivariateStats - Class in weka.core.pmml.jaxbbindings
Java class for UnivariateStats element declaration.
UnivariateStats() - Constructor for class weka.core.pmml.jaxbbindings.UnivariateStats
 
UNKNOWN_NOMINAL_VALUE - Static variable in class weka.core.pmml.MappingInfo
Index for incoming nominal values that are not defined in the mining schema.
UnknownStatisticException(String) - Constructor for exception weka.classifiers.evaluation.AbstractEvaluationMetric.UnknownStatisticException
Constructs a new UnknownStatisticsException
unnormalizedKernel(char[], char[]) - Method in class weka.classifiers.functions.supportVector.StringKernel
evaluates the unnormalized kernel between s and t.
unpivoting(IntVector, int) - Method in class weka.core.matrix.DoubleVector
Returns a vector from the pivoting indices.
unprunedTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
unprunedTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
unprunedTipText() - Method in class weka.classifiers.trees.m5.M5Base
Returns the tip text for this property
unquote(String) - Static method in class weka.core.Utils
unquotes are previously quoted string (but only if necessary), i.e., it removes the single quotes around it.
unrecovered_syntax_error(Symbol) - Method in class weka.core.expressionlanguage.parser.Parser
 
UNSET - Static variable in class weka.filters.unsupervised.attribute.ClassAssigner
unset the class attribute.
Unset - Class in weka.gui.simplecli
Removes a variable.
Unset() - Constructor for class weka.gui.simplecli.Unset
 
unsorted() - Method in class weka.core.matrix.DoubleVector
Returns true if vector not sorted
UnsupervisedAttributeEvaluator - Class in weka.attributeSelection
Abstract unsupervised attribute evaluator.
UnsupervisedAttributeEvaluator() - Constructor for class weka.attributeSelection.UnsupervisedAttributeEvaluator
 
UnsupervisedFilter - Interface in weka.filters
Interface for filters that do not need a class attribute.
UnsupervisedSubsetEvaluator - Class in weka.attributeSelection
Abstract unsupervised attribute subset evaluator.
UnsupervisedSubsetEvaluator() - Constructor for class weka.attributeSelection.UnsupervisedSubsetEvaluator
 
UnsupportedAttributeTypeException - Exception in weka.core
Exception that is raised by an object that is unable to process some of the attribute types it has been passed.
UnsupportedAttributeTypeException() - Constructor for exception weka.core.UnsupportedAttributeTypeException
Creates a new UnsupportedAttributeTypeException with no message.
UnsupportedAttributeTypeException(String) - Constructor for exception weka.core.UnsupportedAttributeTypeException
Creates a new UnsupportedAttributeTypeException.
UnsupportedClassTypeException - Exception in weka.core
Exception that is raised by an object that is unable to process the class type of the data it has been passed.
UnsupportedClassTypeException() - Constructor for exception weka.core.UnsupportedClassTypeException
Creates a new UnsupportedClassTypeException with no message.
UnsupportedClassTypeException(String) - Constructor for exception weka.core.UnsupportedClassTypeException
Creates a new UnsupportedClassTypeException.
unweightedMacroFmeasure() - Method in class weka.classifiers.evaluation.Evaluation
Unweighted macro-averaged F-measure.
unweightedMacroFmeasure() - Method in class weka.classifiers.Evaluation
Unweighted macro-averaged F-measure.
unweightedMicroFmeasure() - Method in class weka.classifiers.evaluation.Evaluation
Unweighted micro-averaged F-measure.
unweightedMicroFmeasure() - Method in class weka.classifiers.Evaluation
Unweighted micro-averaged F-measure.
update(MarginCalculator.JunctionTreeNode) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
marginalize junciontTreeNode node over all nodes outside the separator set
update(double, String, double) - Method in class weka.classifiers.trees.ht.ConditionalSufficientStats
Update this stat with the supplied attribute value and class value
update(double, String, double) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
 
update(double, String, double) - Method in class weka.classifiers.trees.ht.NominalConditionalSufficientStats
 
update(Instance) - Method in interface weka.core.DistanceFunction
Update the distance function (if necessary) for the newly added instance.
update(Instance) - Method in class weka.core.FilteredDistance
Update the distance function (if necessary) for the newly added instance.
update(double) - Method in class weka.core.matrix.FlexibleDecimalFormat
 
update(Instance) - Method in class weka.core.neighboursearch.BallTree
Adds one instance to the BallTree.
update(Instance) - Method in class weka.core.neighboursearch.CoverTree
Adds an instance to the cover tree.
update(Instance) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
Updates ranges based on the given instance, once it has been filtered.
update(Instance) - Method in class weka.core.neighboursearch.KDTree
Adds one instance to the KDTree.
update(Instance) - Method in class weka.core.neighboursearch.LinearNNSearch
Updates the LinearNNSearch to cater for the new added instance.
update(Instance) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
Updates the NearNeighbourSearch algorithm for the new added instance.
update(Instance) - Method in class weka.core.NormalizableDistance
Update the distance function (if necessary) for the newly added instance.
update(String) - Method in class weka.experiment.DatabaseUtils
Executes a SQL DDL query or an INSERT, DELETE or UPDATE.
update(Graphics) - Method in class weka.gui.SplashWindow
Updates the display area of the window.
UpdateableBatchProcessor - Interface in weka.classifiers
Updateable classifiers can implement this if they wish to be informed at the end of the training stream.
UpdateableClassifier - Interface in weka.classifiers
Interface to incremental classification models that can learn using one instance at a time.
UpdateableClusterer - Interface in weka.clusterers
Interface to incremental cluster models that can learn using one instance at a time.
updateChildPropertySheet() - Method in class weka.gui.GenericObjectEditor.GOEPanel
Updates the child property sheet, and creates if needed.
updateClassifier(Instance) - Method in class weka.classifiers.bayes.BayesNet
Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.bayes.NaiveBayes
Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
Updates the classifier with information from one training instance.
updateClassifier(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Updates the classifier with the given instance.
updateClassifier(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
Updates the classifier with the given instance.
updateClassifier(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
Updates the classifier with the given instance.
updateClassifier(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.functions.SGD
Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.functions.SGDText
Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.lazy.IBk
Adds the supplied instance to the training set.
updateClassifier(Instance) - Method in class weka.classifiers.lazy.KStar
Adds the supplied instance to the training set
updateClassifier(Instance) - Method in class weka.classifiers.lazy.LWL
Adds the supplied instance to the training set.
updateClassifier(Instance) - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.trees.HoeffdingTree
Updates the classifier with the given instance.
updateClassifier(Instance) - Method in interface weka.classifiers.UpdateableClassifier
Updates a classifier using the given instance.
updateClusterer(Instance) - Method in class weka.clusterers.Canopy
 
updateClusterer(Instance) - Method in class weka.clusterers.Cobweb
Adds an instance to the clusterer.
updateClusterer(Instance) - Method in interface weka.clusterers.UpdateableClusterer
Adds an instance to the clusterer.
upDateCounter(Instance) - Method in class weka.associations.ItemSet
Updates counter of item set with respect to given transaction.
upDateCounter(Instance, Instance) - Method in class weka.associations.LabeledItemSet
Updates counter of item set with respect to given transaction.
upDateCounters(ArrayList<Object>, Instances) - Static method in class weka.associations.ItemSet
Updates counters for a set of item sets and a set of instances.
upDateCounters(ArrayList<Object>, Instances, Instances) - Static method in class weka.associations.LabeledItemSet
Updates counter of a specific item set
upDateCountersTreatZeroAsMissing(ArrayList<Object>, Instances) - Static method in class weka.associations.ItemSet
Updates counters for a set of item sets and a set of instances.
upDateCountersTreatZeroAsMissing(ArrayList<LabeledItemSet>, Instances, Instances) - Static method in class weka.associations.LabeledItemSet
Updates counter of a specific item set
updateCounterTreatZeroAsMissing(Instance) - Method in class weka.associations.ItemSet
Updates counter of item set with respect to given transaction.
upDateCounterTreatZeroAsMissing(Instance, Instance) - Method in class weka.associations.LabeledItemSet
Updates counter of item set with respect to given transaction.
updateDistribution(Instance) - Method in class weka.classifiers.trees.ht.HNode
Update the class frequency distribution with the supplied instance
updateEnd(Logger) - Method in class weka.gui.beans.StreamThroughput
Register a throughput measurement end point.
updateFinished() - Method in class weka.clusterers.Canopy
 
updateFinished() - Method in class weka.clusterers.Cobweb
Singals the end of the updating.
updateFinished() - Method in interface weka.clusterers.UpdateableClusterer
Signals the end of the updating.
updateFrameTitle() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
sets the title of the parent frame, if one was provided
updateFromChild() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
marginalize junciontTreeNode node over all nodes outside the separator set of the child clique
updateFromParent() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
marginalize junciontTreeNode node over all nodes outside the separator set of the parent clique
updateJavadoc() - Method in class weka.core.Javadoc
generates the Javadoc and returns it applied to the source file if one was provided, otherwise an empty string.
updateNode(Instance) - Method in class weka.classifiers.trees.ht.ActiveHNode
 
updateNode(Instance) - Method in class weka.classifiers.trees.ht.HNode
Update the node with the supplied instance
updateNode(Instance) - Method in class weka.classifiers.trees.ht.InactiveHNode
 
updateNode(Instance) - Method in class weka.classifiers.trees.ht.LeafNode
 
updateNode(Instance) - Method in class weka.classifiers.trees.ht.NBNode
 
updateNode(Instance) - Method in class weka.classifiers.trees.ht.NBNodeAdaptive
 
updateNode(Instance) - Method in class weka.classifiers.trees.ht.SplitNode
 
updatePanel() - Method in class weka.gui.visualize.MatrixPanel
Update the display.
updatePointCount(int) - Method in class weka.core.neighboursearch.PerformanceStats
adds the given number to the point count.
updatePriors(Instance) - Method in class weka.classifiers.evaluation.Evaluation
Updates the class prior probabilities or the mean respectively (when incrementally training).
updatePriors(Instance) - Method in class weka.classifiers.Evaluation
Updates the class prior probabilities or the mean respectively (when incrementally training).
updateRanges(Instance, int, double[][]) - Method in class weka.core.NormalizableDistance
Updates the minimum and maximum and width values for all the attributes based on a new instance.
updateRanges(Instance, double[][]) - Method in class weka.core.NormalizableDistance
Updates the ranges given a new instance.
updateRanges(Instance) - Method in class weka.core.NormalizableDistance
Update the ranges with a new instance.
updateRangesFirst(Instance, int, double[][]) - Method in class weka.core.NormalizableDistance
Used to initialize the ranges.
updateResult(String) - Method in class weka.gui.ResultHistoryPanel
Tells any component currently displaying the named result that the contents of the result text in the StringBuffer have been updated.
updateStart() - Method in class weka.gui.beans.StreamThroughput
Register a throughput measurement start point
updateStatsForClassifier(double[], Instance) - Method in interface weka.classifiers.evaluation.InformationRetrievalEvaluationMetric
Updates the statistics about a classifiers performance for the current test instance.
updateStatsForClassifier(double[], Instance) - Method in interface weka.classifiers.evaluation.InformationTheoreticEvaluationMetric
Updates the statistics about a classifiers performance for the current test instance.
updateStatsForClassifier(double[], Instance) - Method in interface weka.classifiers.evaluation.StandardEvaluationMetric
Updates the statistics about a classifiers performance for the current test instance.
updateStatsForConditionalDensityEstimator(ConditionalDensityEstimator, Instance, double) - Method in interface weka.classifiers.evaluation.InformationTheoreticEvaluationMetric
Updates stats for conditional density estimator based on current test instance.
updateStatsForIntervalEstimator(IntervalEstimator, Instance, double) - Method in interface weka.classifiers.evaluation.IntervalBasedEvaluationMetric
Updates stats for interval estimator based on current test instance.
updateStatsForModelCVSplit(Instances, ASEvaluation, ASSearch, int[], boolean) - Method in class weka.attributeSelection.AttributeSelection
Update the attribute selection stats for a cross-validation fold of the data.
updateStatsForPredictor(double, Instance) - Method in interface weka.classifiers.evaluation.InformationTheoreticEvaluationMetric
Updates the statistics about a predictors performance for the current test instance.
updateStatsForPredictor(double, Instance) - Method in interface weka.classifiers.evaluation.StandardEvaluationMetric
Updates the statistics about a predictors performance for the current test instance.
updateWeights(NeuralNode, double, double) - Method in class weka.classifiers.functions.neural.LinearUnit
This function will calculate what the change in weights should be and also update them.
updateWeights(double, double) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this function to update the weight values at this unit.
updateWeights(NeuralNode, double, double) - Method in interface weka.classifiers.functions.neural.NeuralMethod
This function will calculate what the change in weights should be and also update them.
updateWeights(double, double) - Method in class weka.classifiers.functions.neural.NeuralNode
Call this function to update the weight values at this unit.
updateWeights(NeuralNode, double, double) - Method in class weka.classifiers.functions.neural.SigmoidUnit
This function will calculate what the change in weights should be and also update them.
updateWidth() - Method in class weka.estimators.UnivariateKernelEstimator
Updates bandwidth: the sample standard deviation is multiplied by the total weight to the power of the given exponent.
uplus(Node) - Static method in class weka.core.expressionlanguage.common.Operators
'+' unary plus operator
UPLUS - Static variable in interface weka.core.expressionlanguage.parser.sym
 
upperBoundMinSupportTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
upperBoundMinSupportTipText() - Method in class weka.associations.FPGrowth
Returns the tip text for this property
upperNumericBoundIsOpen() - Method in class weka.core.Attribute
Returns whether the upper numeric bound of the attribute is open.
upperSizeTipText() - Method in class weka.experiment.LearningRateResultProducer
Returns the tip text for this property
URLSourcedLoader - Interface in weka.core.converters
Interface to a loader that can load from a http url
urlTipText() - Method in class weka.core.converters.DatabaseLoader
the tip text for this property
urlTipText() - Method in class weka.core.converters.DatabaseSaver
Returns the tip text for this property.
USE_DYNAMIC - Static variable in class weka.gui.GenericPropertiesCreator
name of property whether to use the dynamic approach or the old GenericObjectEditor.props file
useADTreeTipText() - Method in class weka.classifiers.bayes.BayesNet
 
useAICTipText() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the tip text for this property
useAICTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
useArcReversalTipText() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
 
useArcReversalTipText() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
 
useAverageTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
Returns the tip text for this property
useBetterEncodingTipText() - Method in class weka.filters.supervised.attribute.Discretize
Returns the tip text for this property
useBinNumbersTipText() - Method in class weka.filters.supervised.attribute.Discretize
Returns the tip text for this property
useBinNumbersTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
useConjugateGradientDescentTipText() - Method in class weka.classifiers.functions.Logistic
Returns the tip text for this property
useCrossOverTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
useCrossOverTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
useCrossValidationTipText() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the tip text for this property
used() - Method in class weka.core.expressionlanguage.weka.StatsHelper
Whether Stats fields are accessed in the program
used(String) - Method in class weka.core.expressionlanguage.weka.StatsHelper
Returns whether the Stats field is used in the program
useDefaultVisual() - Method in class weka.gui.beans.AbstractDataSink
Use the default images for a data source
useDefaultVisual() - Method in class weka.gui.beans.AbstractDataSource
Use the default images for a data source
useDefaultVisual() - Method in class weka.gui.beans.AbstractEvaluator
Use the default images for an evaluator
useDefaultVisual() - Method in class weka.gui.beans.AbstractTestSetProducer
Use the default visual for this bean
useDefaultVisual() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
Use the default visual for this bean
useDefaultVisual() - Method in class weka.gui.beans.AbstractTrainingSetProducer
Use the default visual for this bean
useDefaultVisual() - Method in class weka.gui.beans.Appender
Use the default visual representation
useDefaultVisual() - Method in class weka.gui.beans.Associator
Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.AttributeSummarizer
Use the default appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.ClassAssigner
 
useDefaultVisual() - Method in class weka.gui.beans.Classifier
Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.ClassValuePicker
 
useDefaultVisual() - Method in class weka.gui.beans.Clusterer
Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.CostBenefitAnalysis
 
useDefaultVisual() - Method in class weka.gui.beans.DataVisualizer
Use the default appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.Filter
Use the default visual appearance
useDefaultVisual() - Method in class weka.gui.beans.FlowByExpression
 
useDefaultVisual() - Method in class weka.gui.beans.GraphViewer
Use the default visual appearance
useDefaultVisual() - Method in class weka.gui.beans.ImageSaver
 
useDefaultVisual() - Method in class weka.gui.beans.ImageViewer
 
useDefaultVisual() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.Join
Use the default visual for this step
useDefaultVisual() - Method in class weka.gui.beans.MetaBean
Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.ModelPerformanceChart
Use the default appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.PredictionAppender
Use the default images for a data source
useDefaultVisual() - Method in class weka.gui.beans.SerializedModelSaver
Use the default images for this bean.
useDefaultVisual() - Method in class weka.gui.beans.Sorter
Use the default visual representation
useDefaultVisual() - Method in class weka.gui.beans.StripChart
Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.SubstringLabeler
Use the default visual representation
useDefaultVisual() - Method in class weka.gui.beans.SubstringReplacer
Use the default visual representation
useDefaultVisual() - Method in class weka.gui.beans.TextSaver
 
useDefaultVisual() - Method in class weka.gui.beans.TextViewer
Use the default visual appearance for this bean
useDefaultVisual() - Method in interface weka.gui.beans.Visible
Use the default visual representation
useDoubleTipText() - Method in class weka.core.converters.MatlabSaver
Returns the tip text for this property.
useDynamic() - Method in class weka.gui.GenericPropertiesCreator
gets whether the dynamic approach should be used or not
useEqualFrequencyTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
Returns the tip text for this property
useEqualFrequencyTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
Returns the tip text for this property
useEqualFrequencyTipText() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
Returns the tip text for this property
useEstimatedPriorsTipText() - Method in class weka.classifiers.meta.LogitBoost
Returns the tip text for this property
useFilter(Instances, Filter) - Static method in class weka.filters.Filter
Filters an entire set of instances through a filter and returns the new set.
useIBkTipText() - Method in class weka.classifiers.rules.DecisionTable
Returns the tip text for this property
useKernelEstimatorTipText() - Method in class weka.classifiers.bayes.NaiveBayes
Returns the tip text for this property
useKononenkoTipText() - Method in class weka.filters.supervised.attribute.Discretize
Returns the tip text for this property
useLaplaceTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
useLeastValuesTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
Returns the tip text for this property
useLowerOrderTipText() - Method in class weka.classifiers.functions.supportVector.PolyKernel
Returns the tip text for this property
useMDLcorrectionTipText() - Method in class weka.classifiers.rules.PART
Returns the tip text for this property
useMDLcorrectionTipText() - Method in class weka.classifiers.trees.J48
Returns the tip text for this property
useMissingTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
Returns the tip text for this property
useMutationTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
useMutationTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
useNoPriors() - Method in class weka.classifiers.evaluation.Evaluation
disables the use of priors, e.g., in case of de-serialized schemes that have no access to the original training set, but are evaluated on a set set.
useNoPriors() - Method in class weka.classifiers.Evaluation
disables the use of priors, e.g., in case of de-serialized schemes that have no access to the original training set, but are evaluated on a set set.
useNormalizationTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
Returns the tip text for this property
useORForMustContainListTipText() - Method in class weka.associations.FPGrowth
Returns the tip text for this property
usePairwiseCouplingTipText() - Method in class weka.classifiers.meta.MultiClassClassifier
 
usePercentageSplitTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
useProbTipText() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
 
usePruningTipText() - Method in class weka.classifiers.rules.JRip
Returns the tip text for this property
useQRDecompositionTipText() - Method in class weka.classifiers.functions.LinearRegression
Returns the tip text for this property.
user_init() - Method in class weka.core.json.Parser
User initialization code.
userCommand(TreeDisplayEvent) - Method in interface weka.gui.treevisualizer.TreeDisplayListener
Gets called when the user selects something, in the tree display.
userDataEvent(VisualizePanelEvent) - Method in interface weka.gui.visualize.VisualizePanelListener
This method receives an object containing the shapes, instances inside and outside these shapes and the attributes these shapes were created in.
useRelativePathTipText() - Method in class weka.core.converters.AbstractFileLoader
Tip text suitable for displaying int the GUI
useRelativePathTipText() - Method in class weka.core.converters.AbstractFileSaver
Tip text suitable for displaying int the GUI
useResamplingTipText() - Method in class weka.classifiers.meta.AdaBoostM1
Returns the tip text for this property
useResamplingTipText() - Method in class weka.classifiers.meta.LogitBoost
Returns the tip text for this property
usernameTipText() - Method in class weka.experiment.DatabaseUtils
Returns the tip text for this property.
UserRequestAcceptor - Interface in weka.gui.beans
Interface to something that can accept requests from a user to perform some action
userRequestedPerspectiveToolbarVisibleOnStartup(Settings) - Method in class weka.gui.PerspectiveManager
Returns true if the user has requested that the perspective toolbar is visible when the application starts up
userTipText() - Method in class weka.core.converters.DatabaseLoader
the tip text for this property
userTipText() - Method in class weka.core.converters.DatabaseSaver
Returns the tip text for this property.
useShortIdentifiersTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
Returns the tip text for this property
useShortIDsTipText() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
Returns the tip text for this property
useStemmer(Stemmer, String[]) - Static method in class weka.core.stemmers.Stemming
Applies the given stemmer according to the given options.
useSupervisedDiscretizationTipText() - Method in class weka.classifiers.bayes.NaiveBayes
Returns the tip text for this property
useTabsTipText() - Method in class weka.core.converters.MatlabSaver
Returns the tip text for this property.
useTabTipText() - Method in class weka.classifiers.evaluation.output.prediction.CSV
Returns the tip text for this property.
useTournamentSelectionTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
 
useTournamentSelectionTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
 
useTrainingTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
Returns the tip text for this property
useUnsmoothedTipText() - Method in class weka.classifiers.trees.m5.M5Base
Returns the tip text for this property
useVariant1TipText() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
Returns the tip text for this property
useWordFrequenciesTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
Returns the tip text for this property
useWordFrequenciesTipText() - Method in class weka.classifiers.functions.SGDText
Returns the tip text for this property
Utils - Class in weka.core
Class implementing some simple utility methods.
Utils() - Constructor for class weka.core.Utils
 

V

VAL_ANIMATEDICONPATH - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the animatedIconPath property
VAL_ASSOCIATEDCONNECTIONS - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the associatedConnections property
VAL_BEAN - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the bean property
VAL_BEANCONTEXT - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the beanContext property
VAL_BLUE - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the blue property
VAL_CELLS - Static variable in class weka.core.xml.XMLBasicSerialization
the matrix cells
VAL_COLOR - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the color property
VAL_CUSTOM_NAME - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the customName property
VAL_DATE - Static variable in class weka.core.xml.XMLInstances
the value for date
VAL_DIR - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the dir property
VAL_EVENTNAME - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the eventname property
VAL_FILE - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the file property
VAL_FONT - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the font property
VAL_GREEN - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the green property
VAL_HEIGHT - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the height property
VAL_HIDDEN - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the hidden property
VAL_ICONPATH - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the iconpath property
VAL_ID - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the id property
VAL_INPUTS - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the input property
VAL_INPUTSID - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the input id property
VAL_KEY - Static variable in class weka.core.xml.XMLBasicSerialization
the value for a mapping-key, e.g., Maps
VAL_LOADER - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the loader property
VAL_LOCATION - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the location property
VAL_MAPPING - Static variable in class weka.core.xml.XMLBasicSerialization
the value for mapping, e.g., Maps
VAL_NAME - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the value property
VAL_NO - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the value "no".
VAL_NO - Static variable in class weka.core.xml.XMLDocument
the value "no".
VAL_NO - Static variable in class weka.core.xml.XMLSerialization
the value "no" for the primitive and array attribute
VAL_NOMINAL - Static variable in class weka.core.xml.XMLInstances
the value for nominal
VAL_NORMAL - Static variable in class weka.core.xml.XMLInstances
the value for normal
VAL_NUMERIC - Static variable in class weka.core.xml.XMLInstances
the value for numeric
VAL_OPTIONS - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the options property
VAL_ORIGINALCOORDS - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the originalCoords property
VAL_OUTPUTS - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the outputs id property
VAL_OUTPUTSID - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the outputs property
VAL_PREFIX - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the prefix property
VAL_RED - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the red property
VAL_RELATIONAL - Static variable in class weka.core.xml.XMLInstances
the value for relational
VAL_RELATIONNAMEFORFILENAME - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the relationNameForFilename property (Saver)
VAL_RELATIVE_PATH - Static variable in class weka.gui.beans.xml.XMLBeans
 
VAL_ROOT - Static variable in class weka.core.xml.XMLSerialization
the value of the name for the root node
VAL_SAVER - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the saver property
VAL_SIZE - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the size property
VAL_SOURCEID - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the source property
VAL_SPARSE - Static variable in class weka.core.xml.XMLInstances
the value for sparse
VAL_STRING - Static variable in class weka.core.xml.XMLInstances
the value for string
VAL_STYLE - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the style property
VAL_SUBFLOW - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the subFlow property
VAL_TARGETID - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the target property
VAL_TEXT - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the text property
VAL_TYPE_CLASSIFIER - Static variable in class weka.core.xml.XMLOptions
a value of the type attribute.
VAL_TYPE_FLAG - Static variable in class weka.core.xml.XMLOptions
a value of the type attribute.
VAL_TYPE_HYPHENS - Static variable in class weka.core.xml.XMLOptions
a value of the type attribute.
VAL_TYPE_OPTIONHANDLER - Static variable in class weka.core.xml.XMLOptions
a value of the type attribute.
VAL_TYPE_QUOTES - Static variable in class weka.core.xml.XMLOptions
a value of the type attribute.
VAL_TYPE_SINGLE - Static variable in class weka.core.xml.XMLOptions
a value of the type attribute.
VAL_VALUE - Static variable in class weka.core.xml.XMLBasicSerialization
the value for mapping-value, e.g., Maps
VAL_WIDTH - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the width property
VAL_X - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the x property
VAL_Y - Static variable in class weka.gui.beans.xml.XMLBeans
the value of the y property
VAL_YES - Static variable in class weka.classifiers.evaluation.output.prediction.XML
the value "yes".
VAL_YES - Static variable in class weka.core.xml.XMLDocument
the value "yes".
VAL_YES - Static variable in class weka.core.xml.XMLSerialization
the value "yes" for the primitive and array attribute
validateFileFormat(Tag) - Method in class weka.gui.beans.SerializedModelSaver
Validate the file format.
validationSetSizeTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
validationThresholdTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
 
VALIDTIMESPEC - Enum in weka.core.pmml.jaxbbindings
Java class for VALID-TIME-SPEC.
value - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
scale factor or stop parameter
value(Attribute) - Method in class weka.core.AbstractInstance
Returns an instance's attribute value in internal format.
value(int) - Method in class weka.core.Attribute
Returns a value of a nominal or string attribute.
value(int) - Method in class weka.core.BinarySparseInstance
Returns an instance's attribute value in internal format.
value(int) - Method in class weka.core.DenseInstance
Returns an instance's attribute value in internal format.
value(int) - Method in interface weka.core.Instance
Returns an instance's attribute value in internal format.
value(Attribute) - Method in interface weka.core.Instance
Returns an instance's attribute value in internal format.
value(int) - Method in class weka.core.pmml.Array
Gets the value at index from the array.
value() - Method in enum weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
 
value() - Method in enum weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
 
value() - Method in enum weka.core.pmml.jaxbbindings.CATSCORINGMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.COMPAREFUNCTION
 
value() - Method in enum weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
 
value() - Method in enum weka.core.pmml.jaxbbindings.DATATYPE
 
value() - Method in enum weka.core.pmml.jaxbbindings.DELIMITER2
 
value() - Method in enum weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
 
value() - Method in enum weka.core.pmml.jaxbbindings.GAP
 
value() - Method in enum weka.core.pmml.jaxbbindings.INTERPOLATIONMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.LINKFUNCTION
 
value() - Method in enum weka.core.pmml.jaxbbindings.MININGFUNCTION
 
value() - Method in enum weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
 
value() - Method in enum weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.NNNORMALIZATIONMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.NOTRUECHILDSTRATEGY
 
value() - Method in enum weka.core.pmml.jaxbbindings.OPTYPE
 
value() - Method in enum weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.RESULTFEATURE
 
value() - Method in enum weka.core.pmml.jaxbbindings.RULEFEATURE
 
value() - Method in enum weka.core.pmml.jaxbbindings.SVMCLASSIFICATIONMETHOD
 
value() - Method in enum weka.core.pmml.jaxbbindings.SVMREPRESENTATION
 
value() - Method in enum weka.core.pmml.jaxbbindings.TIMEANCHOR2
 
value() - Method in enum weka.core.pmml.jaxbbindings.TIMEEXCEPTIONTYPE
 
value() - Method in enum weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
 
value() - Method in enum weka.core.pmml.jaxbbindings.TIMESERIESUSAGE
 
value() - Method in enum weka.core.pmml.jaxbbindings.VALIDTIMESPEC
 
Value - Class in weka.core.pmml.jaxbbindings
Java class for Value element declaration.
Value() - Constructor for class weka.core.pmml.jaxbbindings.Value
 
Value(String) - Constructor for class weka.core.pmml.jaxbbindings.Value
 
value(int) - Method in class weka.core.pmml.SparseArray
Gets the value at index from the array.
value(int) - Method in class weka.core.SparseInstance
Returns an instance's attribute value in internal format.
value - Variable in class weka.experiment.PropertyNode
The current property value
valueDouble(int) - Method in class weka.core.pmml.Array
Gets the value at index from the array as a double.
valueFloat(int) - Method in class weka.core.pmml.Array
Gets the value at index from the array as a float.
valueFromString(String, String) - Static method in class weka.core.EnumHelper
Helper method to recover an enum value given the fully qualified name of the enum and the value in question as strings
valueFromString(Class<?>, String) - Static method in class weka.core.EnumHelper
Helper method to recover an enum value given the fully qualified name of the enum and the value in question as strings
valueIndicesTipText() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
 
valueInt(int) - Method in class weka.core.pmml.Array
Gets the value at index from the array as an int.
valueIsSmallerEqual(Instance, int, double) - Method in class weka.core.EuclideanDistance
Returns true if the value of the given dimension is smaller or equal the value to be compared with.
valueOf(String) - Static method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.associations.NumericItem.Comparison
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.Capabilities.Capability
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.json.JSONNode.NodeType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.logging.Logger.Level
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.packageManagement.VersionPackageConstraint.VersionComparison
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.Array.ArrayType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.FieldMetaInfo.Interval.Closure
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.FieldMetaInfo.Optype
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.FieldMetaInfo.Value.Property
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.CATSCORINGMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.COMPAREFUNCTION
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.DATATYPE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.DELIMITER2
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.GAP
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.INTERPOLATIONMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.LINKFUNCTION
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.MININGFUNCTION
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.NNNORMALIZATIONMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.NOTRUECHILDSTRATEGY
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.OPTYPE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.RESULTFEATURE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.RULEFEATURE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.SVMCLASSIFICATIONMETHOD
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.SVMREPRESENTATION
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMEANCHOR2
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMEEXCEPTIONTYPE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESUSAGE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.VALIDTIMESPEC
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.RevisionUtils.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.TechnicalInformation.Field
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.TechnicalInformation.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.filters.unsupervised.attribute.InterquartileRange.ValueType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.explorer.AttributeSelectionPanel.TestMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.explorer.ClassifierPanel.TestMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.explorer.ClustererPanel.TestMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.GUIChooser.GUIChooserMenuPlugin.Menu
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.knowledgeflow.MainKFPerspectiveToolBar.Widgets
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.scripting.event.ScriptExecutionEvent.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.scripting.SyntaxDocument.ATTR_TYPE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.knowledgeflow.LoggingLevel
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.knowledgeflow.steps.FlowByExpression.ExpressionClause.ExpressionType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.Run.SchemeType
Returns the enum constant of this type with the specified name.
valueReplacementsTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
Returns the tip text for this property
values() - Static method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.associations.NumericItem.Comparison
Returns an array containing the constants of this enum type, in the order they are declared.
Values - Class in weka.classifiers.trees.m5
Stores some statistics.
Values(int, int, int, Instances) - Constructor for class weka.classifiers.trees.m5.Values
Constructs an object which stores some statistics of the instances such as sum, squared sum, variance, standard deviation
values() - Static method in enum weka.core.Capabilities.Capability
Returns an array containing the constants of this enum type, in the order they are declared.
VALUES - Static variable in class weka.core.json.JSONInstances
the values attribute.
values() - Static method in enum weka.core.json.JSONNode.NodeType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.logging.Logger.Level
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.packageManagement.VersionPackageConstraint.VersionComparison
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.Array.ArrayType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.FieldMetaInfo.Interval.Closure
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.FieldMetaInfo.Optype
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.FieldMetaInfo.Value.Property
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.CATSCORINGMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.COMPAREFUNCTION
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.DATATYPE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.DELIMITER2
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.GAP
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.INTERPOLATIONMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.LINKFUNCTION
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.MININGFUNCTION
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.NNNORMALIZATIONMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.NOTRUECHILDSTRATEGY
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.OPTYPE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.RESULTFEATURE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.RULEFEATURE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.SVMCLASSIFICATIONMETHOD
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.SVMREPRESENTATION
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.TIMEANCHOR2
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.TIMEEXCEPTIONTYPE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESUSAGE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.VALIDTIMESPEC
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.RevisionUtils.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.TechnicalInformation.Field
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.TechnicalInformation.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.filters.unsupervised.attribute.InterquartileRange.ValueType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.explorer.AttributeSelectionPanel.TestMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.explorer.ClassifierPanel.TestMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.explorer.ClustererPanel.TestMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.GUIChooser.GUIChooserMenuPlugin.Menu
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.knowledgeflow.MainKFPerspectiveToolBar.Widgets
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.scripting.event.ScriptExecutionEvent.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.scripting.SyntaxDocument.ATTR_TYPE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.knowledgeflow.LoggingLevel
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.knowledgeflow.steps.FlowByExpression.ExpressionClause.ExpressionType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.Run.SchemeType
Returns an array containing the constants of this enum type, in the order they are declared.
valuesListTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
Returns the tip text for this property
valueSparse(int) - Method in class weka.core.AbstractInstance
Returns an instance's attribute value in internal format, given an index in the sparse representation.
valueSparse(int) - Method in class weka.core.BinarySparseInstance
Returns an instance's attribute value in internal format.
valueSparse(int) - Method in interface weka.core.Instance
Returns an instance's attribute value in internal format, given an index in the sparse representation.
valueSparse(int) - Method in class weka.core.pmml.Array
Gets the value at indexOfIndex from the array.
valueSparseDouble(int) - Method in class weka.core.pmml.Array
Gets the value at indexOfIndex from the array.
valueSparseFloat(int) - Method in class weka.core.pmml.Array
Gets the value at indexOfIndex from the array.
valueSparseInt(int) - Method in class weka.core.pmml.Array
Gets the value at indexOfIndex from the array.
valueSparseString(int) - Method in class weka.core.pmml.Array
Gets the value at indexOfIndex from the array.
valueString(int) - Method in class weka.core.pmml.Array
Gets the value at index from the array as a String.
VariableDeclarations - Interface in weka.core.expressionlanguage.core
Interface to expose variables to a program.
VariableDeclarationsCompositor - Class in weka.core.expressionlanguage.common
A helper class that allows to combine several variable declarations together.
VariableDeclarationsCompositor(VariableDeclarations...) - Constructor for class weka.core.expressionlanguage.common.VariableDeclarationsCompositor
Constructs a VariableDeclarationsCompositor containing the provided declarations
VariableInitializer() - Constructor for class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
 
variance(int) - Method in class weka.core.Instances
Computes the variance for a numeric attribute.
variance(Attribute) - Method in class weka.core.Instances
Computes the variance for a numeric attribute.
variance(double[]) - Static method in class weka.core.Utils
Computes the variance for an array of doubles.
varianceCoveredTipText() - Method in class weka.attributeSelection.PrincipalComponents
Returns the tip text for this property
varianceCoveredTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
Returns the tip text for this property.
variances() - Method in class weka.core.Instances
Computes the variance for all numeric attributes simultaneously.
VaryNode - Class in weka.classifiers.bayes.net
Part of ADTree implementation.
VaryNode(int) - Constructor for class weka.classifiers.bayes.net.VaryNode
Creates new VaryNode
VectorDictionary - Class in weka.core.pmml.jaxbbindings
Java class for VectorDictionary element declaration.
VectorDictionary() - Constructor for class weka.core.pmml.jaxbbindings.VectorDictionary
 
VectorDictionary - Class in weka.core.pmml
Class encapsulating the PMML VectorDictionary construct.
VectorDictionary(Element, MiningSchema) - Constructor for class weka.core.pmml.VectorDictionary
Constructor.
VectorFields - Class in weka.core.pmml.jaxbbindings
Java class for VectorFields element declaration.
VectorFields() - Constructor for class weka.core.pmml.jaxbbindings.VectorFields
 
VectorInstance - Class in weka.core.pmml.jaxbbindings
Java class for VectorInstance element declaration.
VectorInstance() - Constructor for class weka.core.pmml.jaxbbindings.VectorInstance
 
VectorInstance - Class in weka.core.pmml
Class encapsulating a PMML VectorInstance construct
VectorInstance(Array, List<FieldRef>) - Constructor for class weka.core.pmml.VectorInstance
Constructor
VectorInstance(Element, List<FieldRef>) - Constructor for class weka.core.pmml.VectorInstance
Constructor
vectorizeBatch(Instances, boolean) - Method in class weka.core.DictionaryBuilder
Convert a batch of instances
vectorizeInstance(Instance) - Method in class weka.core.DictionaryBuilder
Convert an input instance.
vectorizeInstance(Instance, boolean) - Method in class weka.core.DictionaryBuilder
Convert an input instance.
VERBOSE - Static variable in class weka.core.ClassCache
whether to output some debug information.
VERBOSE - Static variable in class weka.core.ClassDiscovery
whether to output some debug information.
VERBOSE - Static variable in class weka.gui.GenericPropertiesCreator
whether to output some debug information
verboseTipText() - Method in class weka.associations.Apriori
Returns the tip text for this property
VerificationField - Class in weka.core.pmml.jaxbbindings
Java class for VerificationField element declaration.
VerificationField() - Constructor for class weka.core.pmml.jaxbbindings.VerificationField
 
VerificationFields - Class in weka.core.pmml.jaxbbindings
Java class for VerificationFields element declaration.
VerificationFields() - Constructor for class weka.core.pmml.jaxbbindings.VerificationFields
 
Version - Class in weka.core
This class contains the version number of the current WEKA release and some methods for comparing another version string.
Version() - Constructor for class weka.core.Version
 
VERSION - Static variable in class weka.core.Version
the complete version
VERSION_FILE - Static variable in class weka.core.Version
the version file
VERSION_KEY - Static variable in class weka.core.packageManagement.VersionPackageConstraint
The meta data key for the version number
VERSION_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for version info
VersionPackageConstraint - Class in weka.core.packageManagement
Concrete implementation of PackageConstraint that encapsulates constraints related to version numbers.
VersionPackageConstraint(Package) - Constructor for class weka.core.packageManagement.VersionPackageConstraint
 
VersionPackageConstraint.VersionComparison - Enum in weka.core.packageManagement
Enumeration encapsulating version comparison operations
VersionRangePackageConstraint - Class in weka.core.packageManagement
A concrete implementation of PackgageConstraint that encapsulates ranged version number constraints.
VersionRangePackageConstraint(Package) - Constructor for class weka.core.packageManagement.VersionRangePackageConstraint
Constructor
ViewerDialog - Class in weka.gui
A downsized version of the ArffViewer, displaying only one Instances-Object.
ViewerDialog(Frame) - Constructor for class weka.gui.ViewerDialog
initializes the dialog with the given parent
Visible - Interface in weka.gui.beans
Interface to something that has a visible (via BeanVisual) reprentation
VISIBLE_PERSPECTIVES_KEY - Static variable in class weka.gui.PerspectiveManager
Settings key for visible perspectives in an application
VisibleLayout - Class in weka.gui.knowledgeflow
Panel that wraps a flow and makes it visible in the KnowledgeFlow, along with it's associated log panel
VisibleLayout(MainKFPerspective) - Constructor for class weka.gui.knowledgeflow.VisibleLayout
Constructor
VisualizableErrorEvent - Class in weka.gui.beans
Event encapsulating error information for a learning scheme that can be visualized in the DataVisualizer
VisualizableErrorEvent(Object, PlotData2D) - Constructor for class weka.gui.beans.VisualizableErrorEvent
 
VisualizableErrorListener - Interface in weka.gui.beans
Interface to something that can accept VisualizableErrorEvents
VisualizeDefaults() - Constructor for class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
Constructor
VisualizePanel - Class in weka.gui.explorer
A slightly extended MatrixPanel for better support in the Explorer.
VisualizePanel() - Constructor for class weka.gui.explorer.VisualizePanel
 
VisualizePanel - Class in weka.gui.visualize
This panel allows the user to visualize a dataset (and if provided) a classifier's/clusterer's predictions in two dimensions.
VisualizePanel(VisualizePanelListener) - Constructor for class weka.gui.visualize.VisualizePanel
This constructor allows a VisualizePanelListener to be set.
VisualizePanel() - Constructor for class weka.gui.visualize.VisualizePanel
Constructor
VisualizePanel.ScatterDefaults - Class in weka.gui.explorer
Default settings specific to the MatrixPanel that provides the scatter plot matrix
VisualizePanelEvent - Class in weka.gui.visualize
This event Is fired to a listeners 'userDataEvent' function when The user on the VisualizePanel clicks submit.
VisualizePanelEvent(ArrayList<ArrayList<Double>>, Instances, Instances, int, int) - Constructor for class weka.gui.visualize.VisualizePanelEvent
This constructor creates the event with all the parameters set.
VisualizePanelListener - Interface in weka.gui.visualize
Interface implemented by a class that is interested in receiving submited shapes from a visualize panel.
VisualizePlugin - Interface in weka.gui.visualize.plugins
Interface implemented by classes loaded dynamically to visualize classifier results in the explorer.
VisualizeUtils - Class in weka.gui.visualize
This class contains utility routines for visualization
VisualizeUtils() - Constructor for class weka.gui.visualize.VisualizeUtils
 
VisualizeUtils.VisualizeDefaults - Class in weka.gui.visualize
Defaults for the 2D scatter plot and attribute bars
VLINE - Static variable in class weka.gui.visualize.VisualizePanelEvent
 
VM_VERSION_KEY - Static variable in class weka.core.WekaPackageManager
Package metadata key for JVM version.
vmVersionCheck(Package, PrintStream...) - Static method in class weka.core.WekaPackageManager
Checks the supplied package against the JVM version running Weka.
Vote - Class in weka.classifiers.meta
Class for combining classifiers.
Vote() - Constructor for class weka.classifiers.meta.Vote
 
VotedPerceptron - Class in weka.classifiers.functions
Implementation of the voted perceptron algorithm by Freund and Schapire.
VotedPerceptron() - Constructor for class weka.classifiers.functions.VotedPerceptron
 
voteFlagTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
Returns the tip text for this property

W

waitUntilFinished() - Method in class weka.gui.beans.FlowRunner
Waits until all flows have finished executing before returning
waitUntilFinished() - Method in interface weka.knowledgeflow.FlowExecutor
Block until all steps are no longer busy
waitUntilFinished() - Method in class weka.knowledgeflow.FlowRunner
Wait until all the steps are no longer busy
WARNING - Static variable in class weka.core.Debug
the log level Warning
wasCancelPressed() - Method in class weka.gui.GenericObjectEditor
True if the cancel button was used to close the editor.
wasStopped() - Method in interface weka.knowledgeflow.FlowExecutor
Returns true if execution was stopped via the stopProcessing() method
wasStopped() - Method in class weka.knowledgeflow.FlowRunner
Returns true if execution was stopped via the stopProcessing() method
weight() - Method in class weka.classifiers.evaluation.NominalPrediction
Gets the weight assigned to this prediction.
weight() - Method in class weka.classifiers.evaluation.NumericPrediction
Gets the weight assigned to this prediction.
weight() - Method in interface weka.classifiers.evaluation.Prediction
Gets the weight assigned to this prediction.
weight(Instance) - Method in class weka.classifiers.rules.part.ClassifierDecList
Returns the weight a rule assigns to an instance.
weight() - Method in class weka.core.AbstractInstance
Returns the instance's weight.
weight() - Method in class weka.core.Attribute
Returns the attribute's weight.
weight() - Method in interface weka.core.Instance
Returns the instance's weight.
WEIGHT - Static variable in class weka.core.json.JSONInstances
the weight attribute.
WEIGHT_INVERSE - Static variable in class weka.classifiers.lazy.IBk
weight by 1/distance.
WEIGHT_NONE - Static variable in class weka.classifiers.lazy.IBk
no weighting.
WEIGHT_SIMILARITY - Static variable in class weka.classifiers.lazy.IBk
weight by 1-distance.
weightByDistanceTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
Returns the tip text for this property
weightedAreaUnderPRC() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) AUPRC.
weightedAreaUnderPRC() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) AUPRC.
weightedAreaUnderROC() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) AUROC.
weightedAreaUnderROC() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) AUC.
WeightedAttributesHandler - Interface in weka.core
Interface to something that makes use of the information provided by attribute weights.
weightedFalseNegativeRate() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) false negative rate.
weightedFalseNegativeRate() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) false negative rate.
weightedFalsePositiveRate() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) false positive rate.
weightedFalsePositiveRate() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) false positive rate.
weightedFMeasure() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the macro weighted (by class size) average F-Measure.
weightedFMeasure() - Method in class weka.classifiers.Evaluation
Calculates the macro weighted (by class size) average F-Measure.
WeightedInstancesHandler - Interface in weka.core
Interface to something that makes use of the information provided by instance weights.
WeightedInstancesHandlerWrapper - Class in weka.classifiers.meta
Generic wrapper around any classifier to enable weighted instances support.
Uses resampling with weights if the base classifier is not implementing the weka.core.WeightedInstancesHandler interface and there are instance weights other 1.0 present.
WeightedInstancesHandlerWrapper() - Constructor for class weka.classifiers.meta.WeightedInstancesHandlerWrapper
 
weightedMatthewsCorrelation() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) matthews correlation coefficient.
weightedMatthewsCorrelation() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) matthews correlation coefficient.
weightedPrecision() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) precision.
weightedPrecision() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) precision.
weightedRecall() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) recall.
weightedRecall() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) recall.
weightedTrueNegativeRate() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) true negative rate.
weightedTrueNegativeRate() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) true negative rate.
weightedTruePositiveRate() - Method in class weka.classifiers.evaluation.Evaluation
Calculates the weighted (by class size) true positive rate.
weightedTruePositiveRate() - Method in class weka.classifiers.Evaluation
Calculates the weighted (by class size) true positive rate.
weightingKernelTipText() - Method in class weka.classifiers.lazy.LWL
Returns the tip text for this property.
WeightMass - Class in weka.classifiers.trees.ht
Simple container for a weight
WeightMass() - Constructor for class weka.classifiers.trees.ht.WeightMass
 
weights(Instance) - Method in class weka.classifiers.trees.j48.BinC45Split
Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.C45Split
Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Always returns null because there is only one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.NBTreeSplit
Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.NoSplit
Always returns null because there is only one subset.
weights(Instance) - Method in class weka.classifiers.trees.lmt.ResidualSplit
Method not in use
weightThresholdTipText() - Method in class weka.classifiers.meta.AdaBoostM1
Returns the tip text for this property
weightThresholdTipText() - Method in class weka.classifiers.meta.LogitBoost
Returns the tip text for this property
weightTipText() - Method in class weka.filters.unsupervised.attribute.Add
Returns the tip text for this property.
weightTrimBetaTipText() - Method in class weka.classifiers.functions.SimpleLogistic
Returns the tip text for this property
weightTrimBetaTipText() - Method in class weka.classifiers.trees.LMT
Returns the tip text for this property
weightValue(int) - Method in class weka.classifiers.functions.neural.NeuralConnection
Call this to get the weight value on a particular connection.
weightValue(int) - Method in class weka.classifiers.functions.neural.NeuralNode
Call this to get the weight value on a particular connection.
weka - package weka
 
weka.associations - package weka.associations
 
weka.attributeSelection - package weka.attributeSelection
 
weka.classifiers - package weka.classifiers
 
weka.classifiers.bayes - package weka.classifiers.bayes
 
weka.classifiers.bayes.net - package weka.classifiers.bayes.net
 
weka.classifiers.bayes.net.estimate - package weka.classifiers.bayes.net.estimate
 
weka.classifiers.bayes.net.search - package weka.classifiers.bayes.net.search
 
weka.classifiers.bayes.net.search.ci - package weka.classifiers.bayes.net.search.ci
 
weka.classifiers.bayes.net.search.fixed - package weka.classifiers.bayes.net.search.fixed
 
weka.classifiers.bayes.net.search.global - package weka.classifiers.bayes.net.search.global
 
weka.classifiers.bayes.net.search.local - package weka.classifiers.bayes.net.search.local
 
weka.classifiers.evaluation - package weka.classifiers.evaluation
 
weka.classifiers.evaluation.output.prediction - package weka.classifiers.evaluation.output.prediction
 
weka.classifiers.functions - package weka.classifiers.functions
 
weka.classifiers.functions.neural - package weka.classifiers.functions.neural
 
weka.classifiers.functions.supportVector - package weka.classifiers.functions.supportVector
 
weka.classifiers.lazy - package weka.classifiers.lazy
 
weka.classifiers.lazy.kstar - package weka.classifiers.lazy.kstar
 
weka.classifiers.meta - package weka.classifiers.meta
 
weka.classifiers.misc - package weka.classifiers.misc
 
weka.classifiers.pmml.consumer - package weka.classifiers.pmml.consumer
 
weka.classifiers.pmml.producer - package weka.classifiers.pmml.producer
 
weka.classifiers.rules - package weka.classifiers.rules
 
weka.classifiers.rules.part - package weka.classifiers.rules.part
 
weka.classifiers.trees - package weka.classifiers.trees
 
weka.classifiers.trees.ht - package weka.classifiers.trees.ht
 
weka.classifiers.trees.j48 - package weka.classifiers.trees.j48
 
weka.classifiers.trees.lmt - package weka.classifiers.trees.lmt
 
weka.classifiers.trees.m5 - package weka.classifiers.trees.m5
 
weka.classifiers.xml - package weka.classifiers.xml
 
weka.clusterers - package weka.clusterers
 
weka.core - package weka.core
 
weka.core.converters - package weka.core.converters
 
weka.core.expressionlanguage - package weka.core.expressionlanguage
Package for a framework for simple, flexible and performant expression languages
weka.core.expressionlanguage.common - package weka.core.expressionlanguage.common
 
weka.core.expressionlanguage.core - package weka.core.expressionlanguage.core
 
weka.core.expressionlanguage.parser - package weka.core.expressionlanguage.parser
 
weka.core.expressionlanguage.weka - package weka.core.expressionlanguage.weka
 
weka.core.json - package weka.core.json
 
weka.core.logging - package weka.core.logging
 
weka.core.matrix - package weka.core.matrix
 
weka.core.metastore - package weka.core.metastore
 
weka.core.neighboursearch - package weka.core.neighboursearch
 
weka.core.neighboursearch.balltrees - package weka.core.neighboursearch.balltrees
 
weka.core.neighboursearch.covertrees - package weka.core.neighboursearch.covertrees
 
weka.core.neighboursearch.kdtrees - package weka.core.neighboursearch.kdtrees
 
weka.core.packageManagement - package weka.core.packageManagement
 
weka.core.pmml - package weka.core.pmml
 
weka.core.pmml.jaxbbindings - package weka.core.pmml.jaxbbindings
 
weka.core.scripting - package weka.core.scripting
 
weka.core.stemmers - package weka.core.stemmers
 
weka.core.stopwords - package weka.core.stopwords
 
weka.core.tokenizers - package weka.core.tokenizers
 
weka.core.xml - package weka.core.xml
 
weka.datagenerators - package weka.datagenerators
 
weka.datagenerators.classifiers.classification - package weka.datagenerators.classifiers.classification
 
weka.datagenerators.classifiers.regression - package weka.datagenerators.classifiers.regression
 
weka.datagenerators.clusterers - package weka.datagenerators.clusterers
 
weka.estimators - package weka.estimators
 
weka.experiment - package weka.experiment
 
weka.experiment.xml - package weka.experiment.xml
 
weka.filters - package weka.filters
 
weka.filters.supervised.attribute - package weka.filters.supervised.attribute
 
weka.filters.supervised.instance - package weka.filters.supervised.instance
 
weka.filters.unsupervised.attribute - package weka.filters.unsupervised.attribute
 
weka.filters.unsupervised.instance - package weka.filters.unsupervised.instance
 
weka.gui - package weka.gui
 
weka.gui.arffviewer - package weka.gui.arffviewer
 
weka.gui.beans - package weka.gui.beans
 
weka.gui.beans.xml - package weka.gui.beans.xml
 
weka.gui.boundaryvisualizer - package weka.gui.boundaryvisualizer
 
weka.gui.experiment - package weka.gui.experiment
 
weka.gui.explorer - package weka.gui.explorer
 
weka.gui.filters - package weka.gui.filters
 
weka.gui.graphvisualizer - package weka.gui.graphvisualizer
 
weka.gui.hierarchyvisualizer - package weka.gui.hierarchyvisualizer
 
weka.gui.knowledgeflow - package weka.gui.knowledgeflow
 
weka.gui.knowledgeflow.steps - package weka.gui.knowledgeflow.steps
 
weka.gui.scripting - package weka.gui.scripting
 
weka.gui.scripting.event - package weka.gui.scripting.event
 
weka.gui.simplecli - package weka.gui.simplecli
 
weka.gui.sql - package weka.gui.sql
 
weka.gui.sql.event - package weka.gui.sql.event
 
weka.gui.streams - package weka.gui.streams
 
weka.gui.treevisualizer - package weka.gui.treevisualizer
 
weka.gui.visualize - package weka.gui.visualize
 
weka.gui.visualize.plugins - package weka.gui.visualize.plugins
 
weka.knowledgeflow - package weka.knowledgeflow
 
weka.knowledgeflow.steps - package weka.knowledgeflow.steps
 
WEKA_HOME - Static variable in class weka.core.WekaPackageManager
Default path to where Weka's configuration and packages are stored
WekaAlgorithmWrapper - Class in weka.knowledgeflow.steps
A step that wraps a class of standard Weka algorithm (e.g.
WekaAlgorithmWrapper() - Constructor for class weka.knowledgeflow.steps.WekaAlgorithmWrapper
 
WekaEnumeration<E> - Class in weka.core
Class for enumerating an array list's elements.
WekaEnumeration(List<E>) - Constructor for class weka.core.WekaEnumeration
Constructs an enumeration.
WekaEnumeration(List<E>, int) - Constructor for class weka.core.WekaEnumeration
Constructs an enumeration with a special element.
WekaException - Exception in weka.core
Class for Weka-specific exceptions.
WekaException() - Constructor for exception weka.core.WekaException
Creates a new WekaException with no message.
WekaException(String) - Constructor for exception weka.core.WekaException
Creates a new WekaException.
WekaException(String, Throwable) - Constructor for exception weka.core.WekaException
Constructor with message and cause
WekaException(Throwable) - Constructor for exception weka.core.WekaException
Constructor with cause argument
WekaFileChooser - Class in weka.gui
Customized WekaFileChooser with support for bookmarks.
WekaFileChooser() - Constructor for class weka.gui.WekaFileChooser
Constructs a WekaFileChooser pointing to the user's default directory.
WekaFileChooser(String) - Constructor for class weka.gui.WekaFileChooser
Constructs a WekaFileChooser using the given path.
WekaFileChooser(File) - Constructor for class weka.gui.WekaFileChooser
Constructs a WekaFileChooser using the given File as the path.
WekaFileChooser(FileSystemView) - Constructor for class weka.gui.WekaFileChooser
Constructs a WekaFileChooser using the given FileSystemView.
WekaFileChooser(File, FileSystemView) - Constructor for class weka.gui.WekaFileChooser
Constructs a WekaFileChooser using the given current directory and FileSystemView.
WekaFileChooser(String, FileSystemView) - Constructor for class weka.gui.WekaFileChooser
Constructs a WekaFileChooser using the given current directory path and FileSystemView.
WekaFileChooser.Factory - Class in weka.gui
 
WekaFileChooser.FileChooserBookmarksPanel - Class in weka.gui
 
WekaFileChooser.PropertiesHandler - Class in weka.gui
 
WekaOffscreenChartRenderer - Class in weka.gui.beans
Default OffscreenChartRenderer that uses Weka's built-in chart and graph classes.
WekaOffscreenChartRenderer() - Constructor for class weka.gui.beans.WekaOffscreenChartRenderer
 
WekaPackageClassLoaderManager - Class in weka.core
Class that manages classloaders from individual Weka plugin packages.
WekaPackageLibIsolatingClassLoader - Class in weka.core
A ClassLoader that loads/finds classes from one Weka plugin package.
WekaPackageLibIsolatingClassLoader(WekaPackageClassLoaderManager, File) - Constructor for class weka.core.WekaPackageLibIsolatingClassLoader
Constructor
WekaPackageManager - Class in weka.core
Class providing package management and manipulation routines.
WekaPackageManager() - Constructor for class weka.core.WekaPackageManager
 
wekaStaticWrapper(Sourcable, String) - Static method in class weka.classifiers.evaluation.Evaluation
Wraps a static classifier in enough source to test using the weka class libraries.
wekaStaticWrapper(Sourcable, String) - Static method in class weka.classifiers.Evaluation
Wraps a static classifier in enough source to test using the weka class libraries.
wekaStaticWrapper(Sourcable, String, Instances, Instances) - Static method in class weka.filters.Filter
generates source code from the filter
WekaTaskMonitor - Class in weka.gui
This panel records the number of weka tasks running and displays a simple bird animation while their are active tasks
WekaTaskMonitor() - Constructor for class weka.gui.WekaTaskMonitor
Constructor
WekaWrapper - Interface in weka.gui.beans
Interface to something that can wrap around a class of Weka algorithms (classifiers, filters etc).
WEST_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
 
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.BinC45Split
Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.C45Split
Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
Always returns 0 because only there is only one subset.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.NBTreeSplit
Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.NoSplit
Always returns 0 because only there is only one subset.
whichSubset(Instance) - Method in class weka.classifiers.trees.lmt.ResidualSplit
 
WideComboBox() - Constructor for class weka.gui.beans.EnvironmentField.WideComboBox
Deprecated.
 
WideComboBox(Object[]) - Constructor for class weka.gui.beans.EnvironmentField.WideComboBox
Deprecated.
 
WideComboBox(Vector<Object>) - Constructor for class weka.gui.beans.EnvironmentField.WideComboBox
Deprecated.
 
WideComboBox(ComboBoxModel) - Constructor for class weka.gui.beans.EnvironmentField.WideComboBox
Deprecated.
 
WideComboBox() - Constructor for class weka.gui.EnvironmentField.WideComboBox
 
WideComboBox(Object[]) - Constructor for class weka.gui.EnvironmentField.WideComboBox
 
WideComboBox(Vector<Object>) - Constructor for class weka.gui.EnvironmentField.WideComboBox
 
WideComboBox(ComboBoxModel) - Constructor for class weka.gui.EnvironmentField.WideComboBox
 
width() - Method in class weka.core.matrix.ExponentialFormat
 
width() - Method in class weka.core.matrix.FlexibleDecimalFormat
 
width() - Method in class weka.core.matrix.FloatingPointFormat
 
WIDTH - Static variable in class weka.core.neighboursearch.KDTree
The index of WIDTH (MAX-MIN) value in attributes' range array.
WIDTH - Static variable in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
Index of width value (max-min) in an array of attributes' range.
WIDTH - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
default width
WIDTH - Static variable in class weka.gui.sql.SqlViewer
the width property in the history file.
WIN_STRING - Variable in class weka.experiment.ResultMatrix
win string.
windowActivated(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
invoked when a window is activated
windowClosed(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
invoked when a window is closed
windowClosing(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
invoked when a window is in the process of closing
windowDeactivated(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
invoked when a window is deactivated
windowDeiconified(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
invoked when a window is deiconified
windowIconified(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
invoked when a window is iconified
windowListChanged() - Method in class weka.gui.Main
is called when window list changed somehow (add or remove).
windowOpened(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
invoked when a window is has been opened
windowSizeTipText() - Method in class weka.classifiers.lazy.IBk
Returns the tip text for this property.
withClass() - Method in class weka.classifiers.evaluation.Evaluation
Gets the weight of the instances that had a non-missing class value
WITHIN_BATCH - Static variable in class weka.gui.beans.IncrementalClassifierEvent
 
WordsFromFile - Class in weka.core.stopwords
Uses the stopwords located in the specified file (ignored _if pointing to a directory).
WordsFromFile() - Constructor for class weka.core.stopwords.WordsFromFile
 
wordsToKeepTipText() - Method in class weka.core.DictionaryBuilder
Returns the tip text for this property.
wordsToKeepTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
Returns the tip text for this property.
WordTokenizer - Class in weka.core.tokenizers
A simple tokenizer that is using the java.util.StringTokenizer class to tokenize the strings.
WordTokenizer() - Constructor for class weka.core.tokenizers.WordTokenizer
 
Workbench - Class in weka.gui
Launcher class for the Weka workbench.
Workbench() - Constructor for class weka.gui.Workbench
 
WorkbenchApp - Class in weka.gui
One app to rule them all, one app to find them, one app to bring them all and with perspectives bind them.
WorkbenchApp() - Constructor for class weka.gui.WorkbenchApp
Constructor
WorkbenchDefaults - Class in weka.gui
Default settings for the Workbench app.
WorkbenchDefaults() - Constructor for class weka.gui.WorkbenchDefaults
Constructor
WrapLayout - Class in weka.gui
FlowLayout subclass that fully supports wrapping of components.
WrapLayout() - Constructor for class weka.gui.WrapLayout
Constructs a new WrapLayout with a left alignment and a default 5-unit horizontal and vertical gap.
WrapLayout(int) - Constructor for class weka.gui.WrapLayout
Constructs a new FlowLayout with the specified alignment and a default 5-unit horizontal and vertical gap.
WrapLayout(int, int, int) - Constructor for class weka.gui.WrapLayout
Creates a new flow layout manager with the indicated alignment and the indicated horizontal and vertical gaps.
WrapperSubsetEval - Class in weka.attributeSelection
WrapperSubsetEval:

Evaluates attribute sets by using a learning scheme.
WrapperSubsetEval() - Constructor for class weka.attributeSelection.WrapperSubsetEval
Constructor.
write(Writer) - Method in class weka.classifiers.CostMatrix
Writes out a matrix.
write(Instances) - Method in class weka.core.converters.ConverterUtils.DataSink
writes the given data either via the saver or to the defined output stream (depending on the constructor).
write(String, Instances) - Static method in class weka.core.converters.ConverterUtils.DataSink
writes the data to the given file.
write(Saver, Instances) - Static method in class weka.core.converters.ConverterUtils.DataSink
writes the data via the given saver.
write(OutputStream, Instances) - Static method in class weka.core.converters.ConverterUtils.DataSink
writes the data to the given stream (always in ARFF format).
write(int) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
Writes the byte to the stream.
write(byte[]) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
Writes the bytes to the stream.
write(byte[], int, int) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
Writes the bytes to the stream.
write(Writer) - Method in class weka.core.matrix.Matrix
Writes out a matrix.
write(Writer) - Method in class weka.core.Matrix
Deprecated.
Writes out a matrix.
write(String, Object) - Static method in class weka.core.SerializationHelper
serializes the given object to the specified file.
write(OutputStream, Object) - Static method in class weka.core.SerializationHelper
serializes the given object to the specified stream.
write(String) - Method in class weka.core.Stopwords
Writes the current stopwords to the given file
write(File) - Method in class weka.core.Stopwords
Writes the current stopwords to the given file
write(BufferedWriter) - Method in class weka.core.Stopwords
Writes the current stopwords to the given writer.
write(byte[], int, int) - Method in class weka.core.Tee
Writes len bytes from the specified byte array starting at offset off to this stream.
write(int) - Method in class weka.core.Tee
Writes the specified byte to this stream.
write(byte[]) - Method in class weka.core.Tee
Writes b.length bytes to this output stream.
write(String, Object) - Static method in class weka.core.xml.KOML
writes the XML-serialized object to the given file
write(File, Object) - Static method in class weka.core.xml.KOML
write the XML-serialized object to the given file
write(OutputStream, Object) - Static method in class weka.core.xml.KOML
writes the XML-serialized object to a stream
write(String) - Method in class weka.core.xml.XMLDocument
writes the current DOM document into the given file.
write(File) - Method in class weka.core.xml.XMLDocument
writes the current DOM document into the given file.
write(OutputStream) - Method in class weka.core.xml.XMLDocument
writes the current DOM document into the given stream.
write(Writer) - Method in class weka.core.xml.XMLDocument
writes the current DOM document into the given writer.
write(String, Object) - Method in class weka.core.xml.XMLSerialization
writes the given object into the file
write(File, Object) - Method in class weka.core.xml.XMLSerialization
writes the given object into the file
write(OutputStream, Object) - Method in class weka.core.xml.XMLSerialization
writes the given object into the stream
write(Writer, Object) - Method in class weka.core.xml.XMLSerialization
writes the given object into the writer
write() - Method in class weka.core.xml.XMLSerializationMethodHandler
returns the handler for write methods
write(String, Object) - Static method in class weka.core.xml.XStream
writes the XML-serialized object to the given file
write(File, Object) - Static method in class weka.core.xml.XStream
write the XML-serialized object to the given file
write(OutputStream, Object) - Static method in class weka.core.xml.XStream
writes the XML-serialized object to the given output stream
write(Writer, Object) - Static method in class weka.core.xml.XStream
writes the XML-serialized object to the given Writer.
write(String, Experiment) - Static method in class weka.experiment.Experiment
Writes the experiment to disk.
writeAll(String, Object[]) - Static method in class weka.core.SerializationHelper
serializes the given objects to the specified file.
writeAll(OutputStream, Object[]) - Static method in class weka.core.SerializationHelper
serializes the given objects to the specified stream.
writeBatch() - Method in class weka.core.converters.AbstractSaver
Writes to a file in batch mode To be overridden.
writeBatch() - Method in class weka.core.converters.ArffSaver
Writes a Batch of instances
writeBatch() - Method in class weka.core.converters.C45Saver
Writes a Batch of instances
writeBatch() - Method in class weka.core.converters.CSVSaver
Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.DatabaseSaver
Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.DictionarySaver
 
writeBatch() - Method in class weka.core.converters.JSONSaver
Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.LibSVMSaver
Writes a Batch of instances
writeBatch() - Method in class weka.core.converters.MatlabSaver
Writes a Batch of instances.
writeBatch() - Method in interface weka.core.converters.Saver
Writes to a destination in batch mode
writeBatch() - Method in class weka.core.converters.SerializedInstancesSaver
Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.SVMLightSaver
Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.XRFFSaver
Writes a Batch of instances
writeBeanConnection(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given BeanConncetion to a DOM structure.
writeBeanInstance(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given BeanInstance to a DOM structure.
writeBeanLoader(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given Loader (a bean) to a DOM structure.
writeBeanSaver(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given Saver (a bean) to a DOM structure.
writeBeanVisual(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given BeanVisual to a DOM structure.
writeCollection(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
adds the given Collection to a DOM structure.
writeColor(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
adds the given Color to a DOM structure.
writeColor(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given Color to a DOM structure.
writeColorUIResource(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given ColorUIResource to a DOM structure.
writeCostMatrix(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
adds the given CostMatrix to a DOM structure.
writeCostMatrixOld(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
adds the given CostMatrix (old) to a DOM structure.
writeCurve(String, Estimator, double, double, int) - Static method in class weka.estimators.EstimatorUtils
Output of an n points of a density curve.
writeCurve(String, Estimator, Estimator, double, double, double, int) - Static method in class weka.estimators.EstimatorUtils
Output of an n points of a density curve.
WriteDataToResult - Class in weka.knowledgeflow.steps
Step that stores incoming non-incremental data in the job environment
WriteDataToResult() - Constructor for class weka.knowledgeflow.steps.WriteDataToResult
 
writeDefaultListModel(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
adds the given DefaultListModel to a DOM structure.
writeDimension(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given Dimension to a DOM structure.
writeDOT(String, String, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Static method in class weka.gui.graphvisualizer.DotParser
This method saves a graph in a file in DOT format.
writeFlow(Flow, Writer) - Static method in class weka.knowledgeflow.JSONFlowUtils
Serializes the supplied flow to JSON and writes out using the supplied writer
writeFlow(Flow, OutputStream) - Static method in class weka.knowledgeflow.JSONFlowUtils
Serializes the supplied flow to JSON and writes out using the supplied output stream
writeFlow(Flow, File) - Static method in class weka.knowledgeflow.JSONFlowUtils
Serializes the supplied flow to JSON and writes it out to the supplied file
writeFont(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given Font to a DOM structure.
writeFontUIResource(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given FontUIResource to a DOM structure.
writeIncremental(Instance) - Method in class weka.core.converters.AbstractSaver
Method for incremental saving.
writeIncremental(Instance) - Method in class weka.core.converters.ArffSaver
Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.C45Saver
Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.CSVSaver
Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.DatabaseSaver
Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.DictionarySaver
 
writeIncremental(Instance) - Method in class weka.core.converters.LibSVMSaver
Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.MatlabSaver
Saves an instances incrementally.
writeIncremental(Instance) - Method in interface weka.core.converters.Saver
Writes to a destination in incremental mode.
writeIncremental(Instance) - Method in class weka.core.converters.SVMLightSaver
Saves an instances incrementally.
writeLoader(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given Loader to a DOM structure.
writeMap(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
adds the given Map to a DOM structure.
writeMatrix(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
adds the given Matrix to a DOM structure.
writeMatrixOld(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
adds the given Matrix (old) to a DOM structure.
writeMetaBean(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given MetaBean to a DOM structure.
writePoint(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given Point to a DOM structure.
writePropertyNode(Element, Object, String) - Method in class weka.experiment.xml.XMLExperiment
adds the given PropertyNode to a DOM structure.
writeSaver(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
adds the given Saver to a DOM structure.
writeToFile(String, Object) - Static method in class weka.core.Debug
Writes the given object to the specified file.
writeToFile(String, String) - Static method in class weka.core.Debug
Writes the given message to the specified file.
writeToFile(String, Object, boolean) - Static method in class weka.core.Debug
Writes the given object to the specified file.
writeToFile(String, String, boolean) - Static method in class weka.core.Debug
Writes the given message to the specified file.
writeToXML(Element, Object, String) - Method in class weka.core.xml.XMLSerialization
adds the given Object to a DOM structure.
WriteWekaLog - Class in weka.knowledgeflow.steps
Step that takes incoming data and writes it to the Weka log
WriteWekaLog() - Constructor for class weka.knowledgeflow.steps.WriteWekaLog
 
writeXMLBIF03(String, String, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Static method in class weka.gui.graphvisualizer.BIFParser
This method writes a graph in XMLBIF ver.

X

x - Variable in class weka.gui.graphvisualizer.GraphNode
The x and y position of the node
X_SHAPE - Static variable in class weka.gui.visualize.Plot2D
 
XCoordinates - Class in weka.core.pmml.jaxbbindings
Java class for XCoordinates element declaration.
XCoordinates() - Constructor for class weka.core.pmml.jaxbbindings.XCoordinates
 
xLabelFreqTipText() - Method in class weka.gui.beans.StripChart
GUI Tip text
xLabelFreqTipText() - Method in class weka.knowledgeflow.steps.StripChart
GUI Tip text
xlogx(int) - Static method in class weka.core.Utils
Returns c*log2(c) for a given integer value c.
XML - Class in weka.classifiers.evaluation.output.prediction
Outputs the predictions in XML.

The following DTD is used:

<!DOCTYPE predictions
[
<!ELEMENT predictions (prediction*)>
<!ATTLIST predictions version CDATA "3.5.8">
<!ATTLIST predictions name CDATA #REQUIRED>

<!ELEMENT prediction ((actual_label,predicted_label,error,(prediction|distribution),attributes?)|(actual_value,predicted_value,error,attributes?))>
<!ATTLIST prediction index CDATA #REQUIRED>

<!ELEMENT actual_label ANY>
<!ATTLIST actual_label index CDATA #REQUIRED>
<!ELEMENT predicted_label ANY>
<!ATTLIST predicted_label index CDATA #REQUIRED>
<!ELEMENT error ANY>
<!ELEMENT prediction ANY>
<!ELEMENT distribution (class_label+)>
<!ELEMENT class_label ANY>
<!ATTLIST class_label index CDATA #REQUIRED>
<!ATTLIST class_label predicted (yes|no) "no">
<!ELEMENT actual_value ANY>
<!ELEMENT predicted_value ANY>
<!ELEMENT attributes (attribute+)>
<!ELEMENT attribute ANY>
<!ATTLIST attribute index CDATA #REQUIRED>
<!ATTLIST attribute name CDATA #REQUIRED>
<!ATTLIST attribute type (numeric|date|nominal|string|relational) #REQUIRED>
]
>

Valid options are:

XML() - Constructor for class weka.classifiers.evaluation.output.prediction.XML
 
XMLBasicSerialization - Class in weka.core.xml
This serializer contains some read/write methods for common classes that are not beans-conform.
XMLBasicSerialization() - Constructor for class weka.core.xml.XMLBasicSerialization
initializes the serialization
XMLBeans - Class in weka.gui.beans.xml
This class serializes and deserializes a KnowledgeFlow setup to and fro XML.
XMLBeans(JComponent, BeanContextSupport, int) - Constructor for class weka.gui.beans.xml.XMLBeans
initializes the serialization for layouts
XMLBeans(JComponent, BeanContextSupport, int, int) - Constructor for class weka.gui.beans.xml.XMLBeans
initializes the serialization for different types of data
XMLClassifier - Class in weka.classifiers.xml
This class serializes and deserializes a Classifier instance to and fro XML.
XMLClassifier() - Constructor for class weka.classifiers.xml.XMLClassifier
initializes the serialization
XMLDocument - Class in weka.core.xml
This class offers some methods for generating, reading and writing XML documents.
It can only handle UTF-8.
XMLDocument() - Constructor for class weka.core.xml.XMLDocument
initializes the factory with non-validating parser.
XMLDocument(String) - Constructor for class weka.core.xml.XMLDocument
Creates a new instance of XMLDocument.
XMLDocument(File) - Constructor for class weka.core.xml.XMLDocument
Creates a new instance of XMLDocument.
XMLDocument(InputStream) - Constructor for class weka.core.xml.XMLDocument
Creates a new instance of XMLDocument.
XMLDocument(Reader) - Constructor for class weka.core.xml.XMLDocument
Creates a new instance of XMLDocument.
XMLExperiment - Class in weka.experiment.xml
This class serializes and deserializes an Experiment instance to and fro XML.
It omits the options from the Experiment, since these are handled by the get/set-methods.
XMLExperiment() - Constructor for class weka.experiment.xml.XMLExperiment
initializes the serialization
XMLFileBasedMetaStore - Class in weka.core.metastore
A simple default implementation of MetaStore that uses Weka's XML serialization mechanism to persist entries as XML files in ${WEKA_HOME}/wekaMetaStore
XMLFileBasedMetaStore() - Constructor for class weka.core.metastore.XMLFileBasedMetaStore
 
XMLInstances - Class in weka.core.xml
XML representation of the Instances class.
XMLInstances() - Constructor for class weka.core.xml.XMLInstances
the default constructor
XMLInstances(Instances) - Constructor for class weka.core.xml.XMLInstances
generates the XML structure based on the given data
XMLInstances(Reader) - Constructor for class weka.core.xml.XMLInstances
generates the Instances directly from the reader containing the XML data.
XMLOptions - Class in weka.core.xml
A class for transforming options listed in XML to a regular WEKA command line string.
XMLOptions() - Constructor for class weka.core.xml.XMLOptions
Creates a new instance of XMLOptions.
XMLOptions(String) - Constructor for class weka.core.xml.XMLOptions
Creates a new instance of XMLOptions.
XMLOptions(File) - Constructor for class weka.core.xml.XMLOptions
Creates a new instance of XMLOptions.
XMLOptions(InputStream) - Constructor for class weka.core.xml.XMLOptions
Creates a new instance of XMLOptions.
XMLOptions(Reader) - Constructor for class weka.core.xml.XMLOptions
Creates a new instance of XMLOptions.
XMLSerialization - Class in weka.core.xml
With this class objects can be serialized to XML instead into a binary format.
XMLSerialization() - Constructor for class weka.core.xml.XMLSerialization
initializes the serialization
XMLSerializationMethodHandler - Class in weka.core.xml
This class handles relationships between display names of properties (or classes) and Methods that are associated with them.
XMLSerializationMethodHandler(Object) - Constructor for class weka.core.xml.XMLSerializationMethodHandler
initializes the method handling, executes also clear(), which adds initial methods automatically.
XRFFLoader - Class in weka.core.converters
Reads a source that is in the XML version of the ARFF format.
XRFFLoader() - Constructor for class weka.core.converters.XRFFLoader
 
XRFFSaver - Class in weka.core.converters
Writes to a destination that is in the XML version of the ARFF format.
XRFFSaver() - Constructor for class weka.core.converters.XRFFSaver
Constructor
xStats - Variable in class weka.experiment.PairedStats
The stats associated with the data in column 1
XStream - Class in weka.core.xml
This class is a helper class for XML serialization using XStream .
XStream() - Constructor for class weka.core.xml.XStream
 
XSTREAM - Static variable in class weka.gui.beans.SerializedModelSaver
 
xySum - Variable in class weka.experiment.PairedStats
The sum of the products

Y

y - Variable in class weka.gui.graphvisualizer.GraphNode
The x and y position of the node
YCoordinates - Class in weka.core.pmml.jaxbbindings
Java class for YCoordinates element declaration.
YCoordinates() - Constructor for class weka.core.pmml.jaxbbindings.YCoordinates
 
YongSplitInfo - Class in weka.classifiers.trees.m5
Stores split information.
YongSplitInfo(int, int, int) - Constructor for class weka.classifiers.trees.m5.YongSplitInfo
Constructs an object which contains the split information
yStats - Variable in class weka.experiment.PairedStats
The stats associated with the data in column 2
yyatEOF() - Method in class weka.core.expressionlanguage.parser.Scanner
Returns whether the scanner has reached the end of the reader it reads from.
yyatEOF() - Method in class weka.core.json.Scanner
Returns whether the scanner has reached the end of the reader it reads from.
yybegin(int) - Method in class weka.core.expressionlanguage.parser.Scanner
Enters a new lexical state.
yybegin(int) - Method in class weka.core.json.Scanner
Enters a new lexical state.
yycharat(int) - Method in class weka.core.expressionlanguage.parser.Scanner
Returns the character at the given position from the matched text.
yycharat(int) - Method in class weka.core.json.Scanner
Returns the character at the given position from the matched text.
yyclose() - Method in class weka.core.expressionlanguage.parser.Scanner
Closes the input reader.
yyclose() - Method in class weka.core.json.Scanner
Closes the input reader.
YYEOF - Static variable in class weka.core.expressionlanguage.parser.Scanner
This character denotes the end of file.
YYEOF - Static variable in class weka.core.json.Scanner
This character denotes the end of file.
YYINITIAL - Static variable in class weka.core.expressionlanguage.parser.Scanner
 
YYINITIAL - Static variable in class weka.core.json.Scanner
 
yylength() - Method in class weka.core.expressionlanguage.parser.Scanner
How many characters were matched.
yylength() - Method in class weka.core.json.Scanner
How many characters were matched.
yypushback(int) - Method in class weka.core.expressionlanguage.parser.Scanner
Pushes the specified amount of characters back into the input stream.
yypushback(int) - Method in class weka.core.json.Scanner
Pushes the specified amount of characters back into the input stream.
yyreset(Reader) - Method in class weka.core.expressionlanguage.parser.Scanner
Resets the scanner to read from a new input stream.
yyreset(Reader) - Method in class weka.core.json.Scanner
Resets the scanner to read from a new input stream.
yystate() - Method in class weka.core.expressionlanguage.parser.Scanner
Returns the current lexical state.
yystate() - Method in class weka.core.json.Scanner
Returns the current lexical state.
yytext() - Method in class weka.core.expressionlanguage.parser.Scanner
Returns the text matched by the current regular expression.
yytext() - Method in class weka.core.json.Scanner
Returns the text matched by the current regular expression.

Z

ZeroR - Class in weka.classifiers.rules
Class for building and using a 0-R classifier.
ZeroR() - Constructor for class weka.classifiers.rules.ZeroR
 
zipit(String, String) - Method in class weka.experiment.OutputZipper
Saves a string to either an individual gzipped file or as an entry in a zip file.
ZMaxTipText() - Method in class weka.classifiers.meta.LogitBoost
Returns the tip text for this property
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