meka.classifiers.multilabel

Class CCq

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.MultilabelClassifier

meka.classifiers.multilabel.CCq

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 CCq
extends MultilabelClassifier
implements weka.core.Randomizable, weka.core.TechnicalInformationHandler

The Classifier Chains Method - Random Subspace ('quick') Version. This version is able to downsample the number of training instances across the binary models.
See: 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).

Version:

January 2009

Author:

Jesse Read (jesse@tsc.uc3m.es)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
CCq()

Method Summary

Methods

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances Train)
double[]	distributionForInstance(weka.core.Instance test)
double	getDownSampleRatio() Get the downsample ratio
java.lang.String[]	getOptions()
java.lang.String	getRevision()
int	getSeed()
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)
java.lang.String	seedTipText()
void	setDownSampleRatio(double r) Set the downsample ratio
void	setOptions(java.lang.String[] options)
void	setSeed(int s)

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

CCq

public CCq()

Method Detail

globalInfo

public java.lang.String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class MultilabelClassifier

Returns:

the description

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

getSeed

public int getSeed()

Specified by:

getSeed in interface weka.core.Randomizable

setSeed

public void setSeed(int s)

Specified by:

setSeed in interface weka.core.Randomizable

setDownSampleRatio

public void setDownSampleRatio(double r)

Set the downsample ratio

getDownSampleRatio

public double getDownSampleRatio()

Get the downsample ratio

seedTipText

public java.lang.String seedTipText()

listOptions

public java.util.Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class weka.classifiers.SingleClassifierEnhancer

setOptions

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

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.classifiers.SingleClassifierEnhancer

Throws:

java.lang.Exception

getOptions

public java.lang.String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class weka.classifiers.SingleClassifierEnhancer

buildClassifier

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Specified by:

distributionForInstance in class MultilabelClassifier

Throws:

java.lang.Exception

getRevision

public java.lang.String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class MultilabelClassifier

main

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