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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
 
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, Capabilities) - Static method in class weka.gui.PropertySheetPanel
generates a string from the capapbilities, 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 attributes 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.
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 instance of one class.
addValues(Instances, int, int, int, double, double) - Method in class weka.estimators.Estimator
Initialize the estimator using only the instance 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
AllFilter - Class in weka.filters
A simple instance filter that passes all instances directly through.
AllFilter() - Constructor for class weka.filters.AllFilter
 
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.
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(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.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.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
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
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.CostSensitiveClassifier
Tool tip text for this property
batchSizeTipText() - Method in class weka.classifiers.meta.FilteredClassifier
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
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.ClusterGenerator
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
Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.Vote
Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
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.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.Puk
builds the kernel with the given data.
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.RBFKernel
builds the kernel with the given data.
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.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.
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
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.classifiers.functions.supportVector.Kernel
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.
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
 
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
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.
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.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)
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
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(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_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.
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.
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.ConverterUtils
the core loaders - hardcoded list necessary for RMI/Remote Experiments (comma-separated list).
CORE_FILE_SAVERS - Static variable in class weka.core.converters.ConverterUtils
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