meka.classifiers.multitarget

Class SCC

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.MultilabelClassifier

meka.classifiers.multitarget.SCC

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, MultiTargetClassifier, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class SCC
extends MultilabelClassifier
implements weka.core.Randomizable, MultiTargetClassifier, weka.core.TechnicalInformationHandler

SCC.java - Super Class Classifier (aka Super Node Classifier). The output space is manipulated into super classes (based on label dependence), upon which a multi-target base classifier is applied. This is related to the RAkELd-type classifiers for multi-label classification.

Version:

June 2012

Author:

Jesse Read

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SCC()

Method Summary

Methods

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
double[]	distributionForInstance(weka.core.Instance x)
int	getI()
int	getIv()
int	getN()
java.lang.String[]	getOptions()
int	getP()
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	setI(int i)
void	setIv(int v)
void	setN(int l)
void	setOptions(java.lang.String[] options)
void	setP(int p)
void	setSeed(int s)
static double	sigma(double a) Sigmoid / Logistic function
Result	testClassifier(weka.classifiers.Classifier h, weka.core.Instances D_train, weka.core.Instances D_test, int[][] partition) Test classifier h, on dataset D, under super-class partition 'partition'.
void	trainClassifier(weka.classifiers.Classifier h, weka.core.Instances D, int[][] partition) Train classifier h, on dataset D, under super-class partition 'partition'.

Methods inherited from class meka.classifiers.multilabel.MultilabelClassifier

evaluation, getCapabilities, getRevision, 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

SCC

public SCC()

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

trainClassifier

public void trainClassifier(weka.classifiers.Classifier h,
                   weka.core.Instances D,
                   int[][] partition)
                     throws java.lang.Exception

Train classifier h, on dataset D, under super-class partition 'partition'.

Throws:

java.lang.Exception

testClassifier

public Result testClassifier(weka.classifiers.Classifier h,
                    weka.core.Instances D_train,
                    weka.core.Instances D_test,
                    int[][] partition)
                      throws java.lang.Exception

Test classifier h, on dataset D, under super-class partition 'partition'.
TODO should be able to use something out of meka.classifiers.Evaluation instead of all this ...

Throws:

java.lang.Exception

buildClassifier

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Specified by:

distributionForInstance in class MultilabelClassifier

Throws:

java.lang.Exception

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

setP

public void setP(int p)

getP

public int getP()

setN

public void setN(int l)

getN

public int getN()

setI

public void setI(int i)

getI

public int getI()

setIv

public void setIv(int v)

getIv

public int getIv()

main

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

sigma

public static final double sigma(double a)

Sigmoid / Logistic function

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