meka.classifiers.multilabel.meta

Class RandomSubspaceML

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.MultilabelClassifier

meka.classifiers.multilabel.meta.MultilabelMetaClassifier

meka.classifiers.multilabel.meta.RandomSubspaceML

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class RandomSubspaceML
extends MultilabelMetaClassifier
implements weka.core.TechnicalInformationHandler

RandomSubspaceML.java - Subsample the attribute space and instance space randomly for each ensemble member. Basically a generalized version of Random Forests. It is computationally cheaper than EnsembleML for the same number of models.
As used with CC in: Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank. Classifier Chains for Multi-label Classification. Machine Learning Journal. Springer. Vol. 85(3), pp 333-359. (May 2011).
In earlier versions of Meka this class was called BaggingMLq and used Bagging procedure. Now it uses a simple ensemble cut.

Version:

June 2014

Author:

Jesse Read

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RandomSubspaceML()

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	attSizePercentTipText()
void	buildClassifier(weka.core.Instances D)
double[]	distributionForInstance(weka.core.Instance x)
int	getAttSizePercent() Gets the percentage of attributes to sample from the original set.
java.lang.String[]	getOptions()
java.lang.String	getRevision()
weka.core.TechnicalInformation	getTechnicalInformation()
java.lang.String	globalInfo() Description to display in the GUI.
java.util.Enumeration	listOptions()
static void	main(java.lang.String[] args)
void	setAttSizePercent(int value) Sets the percentage of attributes to sample from the original set.
void	setOptions(java.lang.String[] options)

Methods inherited from class meka.classifiers.multilabel.meta.MultilabelMetaClassifier

getBagSizePercent, getNumIterations, getSeed, setBagSizePercent, setNumIterations, setSeed

Methods inherited from class meka.classifiers.multilabel.MultilabelClassifier

evaluation, getCapabilities, getTemplate, makeCopies, runClassifier, testCapabilities, toString

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, getClassifier, setClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

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

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomSubspaceML

public RandomSubspaceML()

Method Detail

buildClassifier

public void buildClassifier(weka.core.Instances D)
                     throws java.lang.Exception

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Specified by:

buildClassifier in class MultilabelClassifier

Throws:

java.lang.Exception

distributionForInstance

public double[] distributionForInstance(weka.core.Instance x)
                                 throws java.lang.Exception

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class MultilabelMetaClassifier

Throws:

java.lang.Exception

listOptions

public java.util.Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class MultilabelMetaClassifier

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class MultilabelMetaClassifier

Throws:

java.lang.Exception

getOptions

public java.lang.String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class MultilabelMetaClassifier

main

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

globalInfo

public java.lang.String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class MultilabelMetaClassifier

Returns:

the description

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

getRevision

public java.lang.String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class MultilabelClassifier

setAttSizePercent

public void setAttSizePercent(int value)

Sets the percentage of attributes to sample from the original set.

getAttSizePercent

public int getAttSizePercent()

Gets the percentage of attributes to sample from the original set.

attSizePercentTipText

public java.lang.String attSizePercentTipText()