meka.classifiers.multilabel.meta

Class MetaProblemTransformationMethod

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.meta.MetaProblemTransformationMethod

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:

BaggingML, BaggingMLdup, EnsembleML, RandomSubspaceML

public abstract class MetaProblemTransformationMethod
extends ProblemTransformationMethod
implements weka.core.Randomizable

MultilabelMetaClassifier.java - For ensembles of multi-label methods.

Author:

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

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	m_BagSizePercent
protected MultiLabelClassifier[]	m_Classifiers
protected int	m_NumIterations
protected int	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
MetaProblemTransformationMethod()

Method Summary

Modifier and Type	Method and Description
String	bagSizePercentTipText()
protected String	defaultClassifierString()
double[]	distributionForInstance(weka.core.Instance x)
int	getBagSizePercent()
String	getModel() Returns a string representation of the model.
int	getNumIterations()
String[]	getOptions()
int	getSeed()
String	globalInfo() Description to display in the GUI.
Enumeration	listOptions()
String	numIterationsTipText()
String	seedTipText()
void	setBagSizePercent(int p)
void	setNumIterations(int n)
void	setOptions(String[] options)
void	setSeed(int s)

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

buildClassifier, evaluation, getCapabilities, getRevision, 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_Classifiers

protected MultiLabelClassifier[] m_Classifiers

m_Seed

protected int m_Seed

m_NumIterations

protected int m_NumIterations

m_BagSizePercent

protected int m_BagSizePercent

Constructor Detail

MetaProblemTransformationMethod

public MetaProblemTransformationMethod()

Method Detail

globalInfo

public String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class ProblemTransformationMethod

Returns:

the description

defaultClassifierString

protected String defaultClassifierString()

Overrides:

defaultClassifierString in class ProblemTransformationMethod

distributionForInstance

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Specified by:

distributionForInstance in class ProblemTransformationMethod

Throws:

Exception

getNumIterations

public int getNumIterations()

setNumIterations

public void setNumIterations(int n)

numIterationsTipText

public String numIterationsTipText()

getBagSizePercent

public int getBagSizePercent()

setBagSizePercent

public void setBagSizePercent(int p)

bagSizePercentTipText

public String bagSizePercentTipText()

setSeed

public void setSeed(int s)

Specified by:

setSeed in interface weka.core.Randomizable

getSeed

public int getSeed()

Specified by:

getSeed in interface weka.core.Randomizable

seedTipText

public String seedTipText()

listOptions

public Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class weka.classifiers.SingleClassifierEnhancer

setOptions

public void setOptions(String[] options)
                throws Exception

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.classifiers.SingleClassifierEnhancer

Throws:

Exception

getOptions

public String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class weka.classifiers.SingleClassifierEnhancer

getModel

public String getModel()

Returns a string representation of the model.

Specified by:

getModel in interface MultiLabelClassifier

Overrides:

getModel in class ProblemTransformationMethod

Returns:

the model