meka.classifiers.multilabel.meta

Class EnsembleML

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.meta.MetaProblemTransformationMethod

meka.classifiers.multilabel.meta.EnsembleML

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

Direct Known Subclasses:

BaggingMLUpdateable, EnsembleMT

public class EnsembleML
extends MetaProblemTransformationMethod

EnsembleML.java - Combines several multi-label classifiers in a simple-subset ensemble.

Author:

Jesse Read (jmr30@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

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
EnsembleML()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances train)
String	getRevision()
String	globalInfo() Description to display in the GUI.
static void	main(String[] args)

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

bagSizePercentTipText, defaultClassifierString, distributionForInstance, getBagSizePercent, getModel, getNumIterations, getOptions, getSeed, listOptions, numIterationsTipText, seedTipText, setBagSizePercent, setNumIterations, setOptions, 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

Constructor Detail

EnsembleML

public EnsembleML()

Method Detail

globalInfo

public String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class MetaProblemTransformationMethod

Returns:

the description

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Specified by:

buildClassifier in class ProblemTransformationMethod

Throws:

Exception

getRevision

public String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class ProblemTransformationMethod

main

public static void main(String[] args)