weka.classifiers.meta

Class StackingC

java.lang.Object

weka.classifiers.Classifier

weka.classifiers.MultipleClassifiersCombiner

weka.classifiers.RandomizableMultipleClassifiersCombiner

weka.classifiers.meta.Stacking

weka.classifiers.meta.StackingC

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, CapabilitiesHandler, OptionHandler, Randomizable, RevisionHandler, TechnicalInformationHandler

public class StackingC
extends Stacking
implements OptionHandler, TechnicalInformationHandler

Implements StackingC (more efficient version of stacking).

For more information, see

A.K. Seewald: How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness. In: Nineteenth International Conference on Machine Learning, 554-561, 2002.

Note: requires meta classifier to be a numeric prediction scheme.

BibTeX:

 @inproceedings{Seewald2002,
    author = {A.K. Seewald},
    booktitle = {Nineteenth International Conference on Machine Learning},
    editor = {C. Sammut and A. Hoffmann},
    pages = {554-561},
    publisher = {Morgan Kaufmann Publishers},
    title = {How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness},
    year = {2002}
 }
 

Valid options are:

 -M <scheme specification>
  Full name of meta classifier, followed by options.
  Must be a numeric prediction scheme. Default: Linear Regression.

 -X <number of folds>
  Sets the number of cross-validation folds.

 -S <num>
  Random number seed.
  (default 1)

 -B <classifier specification>
  Full class name of classifier to include, followed
  by scheme options. May be specified multiple times.
  (default: "weka.classifiers.rules.ZeroR")

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

Version:

$Revision: 1.15 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz), Alexander K. Seewald (alex@seewald.at)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
StackingC() The constructor.

Method Summary

Modifier and Type	Method and Description
double[]	distributionForInstance(Instance instance) Classifies a given instance using the stacked classifier.
java.lang.String	getRevision() Returns the revision string.
TechnicalInformation	getTechnicalInformation() Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
java.lang.String	globalInfo() Returns a string describing classifier
static void	main(java.lang.String[] argv) Main method for testing this class.
java.lang.String	toString() Output a representation of this classifier

Methods inherited from class weka.classifiers.meta.Stacking

buildClassifier, getCapabilities, getMetaClassifier, getNumFolds, getOptions, listOptions, metaClassifierTipText, numFoldsTipText, setMetaClassifier, setNumFolds, setOptions

Methods inherited from class weka.classifiers.RandomizableMultipleClassifiersCombiner

getSeed, seedTipText, setSeed

Methods inherited from class weka.classifiers.MultipleClassifiersCombiner

classifiersTipText, getClassifier, getClassifiers, setClassifiers

Methods inherited from class weka.classifiers.Classifier

classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Constructor Detail

StackingC

public StackingC()

The constructor.

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing classifier

Overrides:

globalInfo in class Stacking

Returns:

a description suitable for displaying in the explorer/experimenter gui

getTechnicalInformation

public TechnicalInformation getTechnicalInformation()

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

Specified by:

getTechnicalInformation in interface TechnicalInformationHandler

Overrides:

getTechnicalInformation in class Stacking

Returns:

the technical information about this class

distributionForInstance

public double[] distributionForInstance(Instance instance)
                                 throws java.lang.Exception

Classifies a given instance using the stacked classifier.

Overrides:

distributionForInstance in class Stacking

Parameters:

instance - the instance to be classified

Returns:

the distribution

Throws:

java.lang.Exception - if instance could not be classified successfully

toString

public java.lang.String toString()

Output a representation of this classifier

Overrides:

toString in class Stacking

Returns:

a string representation of the classifier

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class Stacking

Returns:

the revision

main

public static void main(java.lang.String[] argv)

Main method for testing this class.

Parameters:

argv - should contain the following arguments: -t training file [-T test file] [-c class index]