meka.classifiers.multilabel.meta

Class RandomSubspaceML

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.meta.MetaProblemTransformationMethod

meka.classifiers.multilabel.meta.RandomSubspaceML

All Implemented Interfaces:

Serializable, Cloneable, MultiLabelClassifier, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class RandomSubspaceML
extends MetaProblemTransformationMethod
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

Field Summary

Fields

Modifier and Type	Field and Description
protected int	m_AttSizePercent
protected int[][]	m_IndicesCut
protected weka.core.Instances[]	m_InstancesTemplates
protected weka.core.Instance[]	m_InstanceTemplates

Fields inherited from class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod

m_BagSizePercent, m_Classifiers, m_NumIterations, m_Seed

Fields inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

m_InstancesTemplate

Fields inherited from class weka.classifiers.SingleClassifierEnhancer

m_Classifier

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor and Description
RandomSubspaceML()

Method Summary

Modifier and Type	Method and Description
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.
String[]	getOptions()
String	getRevision()
weka.core.TechnicalInformation	getTechnicalInformation()
String	globalInfo() Description to display in the GUI.
Enumeration	listOptions()
static void	main(String[] args)
void	setAttSizePercent(int value) Sets the percentage of attributes to sample from the original set.
void	setOptions(String[] options)

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

bagSizePercentTipText, defaultClassifierString, getBagSizePercent, getModel, getNumIterations, getSeed, numIterationsTipText, seedTipText, setBagSizePercent, setNumIterations, setSeed

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

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

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierOptions, getClassifier, getClassifierSpec, postExecution, preExecution, setClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, setDebug

Methods inherited from interface weka.classifiers.Classifier

classifyInstance

Field Detail

m_AttSizePercent

protected int m_AttSizePercent

m_IndicesCut

protected int[][] m_IndicesCut

m_InstancesTemplates

protected weka.core.Instances[] m_InstancesTemplates

m_InstanceTemplates

protected weka.core.Instance[] m_InstanceTemplates

Constructor Detail

RandomSubspaceML

public RandomSubspaceML()

Method Detail

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Specified by:

buildClassifier in class ProblemTransformationMethod

Throws:

Exception

distributionForInstance

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class MetaProblemTransformationMethod

Throws:

Exception

listOptions

public Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class MetaProblemTransformationMethod

setOptions

public void setOptions(String[] options)
                throws Exception

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class MetaProblemTransformationMethod

Throws:

Exception

getOptions

public String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class MetaProblemTransformationMethod

main

public static void main(String[] args)

globalInfo

public String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class MetaProblemTransformationMethod

Returns:

the description

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

getRevision

public String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class ProblemTransformationMethod

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 String attSizePercentTipText()