meka.classifiers.multitarget

Class SCC

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.LC

meka.classifiers.multilabel.PS

meka.classifiers.multitarget.NSR

meka.classifiers.multitarget.SCC

All Implemented Interfaces:

Serializable, Cloneable, MultiLabelClassifier, MultiTargetClassifier, MultiLabelDrawable, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class SCC
extends NSR
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

Field Summary

Fields inherited from class meka.classifiers.multilabel.PS

m_N, m_P, m_S

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

Fields inherited from interface meka.core.MultiLabelDrawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

Constructor and Description
SCC()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
protected String	defaultClassifierString()
double[]	distributionForInstance(weka.core.Instance x)
int	getI()
int	getIv()
String[]	getOptions()
weka.core.TechnicalInformation	getTechnicalInformation()
String	globalInfo() Description to display in the GUI.
Enumeration	listOptions()
static void	main(String[] args)
void	setI(int i)
void	setIv(int v)
void	setOptions(String[] options)
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.multitarget.NSR

convertDistribution, convertInstances, decodeValue, getCapabilities, getRevision, getTopNSubsets

Methods inherited from class meka.classifiers.multilabel.PS

getN, getP, getSeed, nTipText, pTipText, seedTipText, setN, setP, setSeed

Methods inherited from class meka.classifiers.multilabel.LC

graph, graphType, toString

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

evaluation, getModel, getTemplate, makeCopies, runClassifier, testCapabilities

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 weka.core.Randomizable

getSeed, setSeed

Methods inherited from interface meka.classifiers.multitarget.MultiTargetClassifier

debugTipText, getDebug, getModel, setDebug

Methods inherited from interface weka.classifiers.Classifier

classifyInstance, getCapabilities

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, setDebug

Constructor Detail

SCC

public SCC()

Method Detail

defaultClassifierString

protected String defaultClassifierString()

Overrides:

defaultClassifierString in class NSR

globalInfo

public String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class NSR

Returns:

the description

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

Overrides:

getTechnicalInformation in class PS

trainClassifier

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

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

Throws:

Exception

testClassifier

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

Exception

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Overrides:

buildClassifier in class NSR

Throws:

Exception

distributionForInstance

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class NSR

Throws:

Exception

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(String[] args)

sigma

public static final double sigma(double a)

Sigmoid / Logistic function

listOptions

public Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class PS

setOptions

public void setOptions(String[] options)
                throws Exception

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class PS

Throws:

Exception

getOptions

public String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class PS