meka.classifiers.multilabel

Class RAkEL

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.MultilabelClassifier

meka.classifiers.multilabel.LC

meka.classifiers.multilabel.PS

meka.classifiers.multilabel.RAkEL

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

Direct Known Subclasses:

RAkELd

public class RAkEL
extends PS

RAkEL.java - Draws M subsets of size k from the set of labels, and trains PS upon each one, then combines label votes from these PS classifiers to get a label-vector prediction. The original RAkEL by Tsoumakas et al. was a meta method, typically taking LC (aka LP) as a classifier; this implementation is more like a combination between RAkEL and PS, making it potentially very fast (recall that PS defaults to LC with 0 pruning). See also RAkEL from the MULAN framework.

Version:

June 2014

Author:

Jesse Read

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RAkEL()

Method Summary

Methods

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
double[]	distributionForInstance(weka.core.Instance x)
int	getK() GetK - Get the k parameter (size of partitions).
int	getM() GetM - Get the M parameter (number of subsets).
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)
void	setK(int k) SetP - Sets the k parameter (size of partitions)
void	setM(int M) SetM - Sets the M parameter (number of subsets)
void	setOptions(java.lang.String[] options)
void	setSeed(int s) SetSeed - Use random P and N values (in this case P and N arguments determine a range of values to select from randomly, e.g., -P 1-5 selects P randomly in {1,2,3,4,5}.
java.lang.String	toString()

Methods inherited from class meka.classifiers.multilabel.PS

getN, getP, setN, setP

Methods inherited from class meka.classifiers.multilabel.MultilabelClassifier

evaluation, getCapabilities, getTemplate, makeCopies, runClassifier, testCapabilities

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

RAkEL

public RAkEL()

Method Detail

globalInfo

public java.lang.String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class PS

Returns:

the description

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Overrides:

buildClassifier in class PS

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 LC

Throws:

java.lang.Exception

getK

public int getK()

GetK - Get the k parameter (size of partitions).

setK

public void setK(int k)

SetP - Sets the k parameter (size of partitions)

getM

public int getM()

GetM - Get the M parameter (number of subsets).

setM

public void setM(int M)

SetM - Sets the M parameter (number of subsets)

setSeed

public void setSeed(int s)

Description copied from class: PS

SetSeed - Use random P and N values (in this case P and N arguments determine a range of values to select from randomly, e.g., -P 1-5 selects P randomly in {1,2,3,4,5}.

Specified by:

setSeed in interface weka.core.Randomizable

Overrides:

setSeed in class PS

getSeed

public int getSeed()

Specified by:

getSeed in interface weka.core.Randomizable

Overrides:

getSeed in class PS

getRevision

public java.lang.String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class PS

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

Overrides:

getTechnicalInformation in class PS

listOptions

public java.util.Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class PS

setOptions

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

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class PS

Throws:

java.lang.Exception

getOptions

public java.lang.String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class PS

toString

public java.lang.String toString()

Overrides:

toString in class LC

main

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