com.github.chen0040.svmext.classifiers

Class OneVsOneSVC

java.lang.Object

com.github.chen0040.svmext.classifiers.OneVsOneSVC

All Implemented Interfaces:

Learner

public class OneVsOneSVC
extends Object
implements Learner

Created by xschen on 8/20/2015 0020.

Field Summary

Fields

Modifier and Type	Field and Description
protected List<TupleTwo<SVR,SVR>>	classifiers

Constructor Summary

Constructors

Constructor and Description
OneVsOneSVC()
OneVsOneSVC(List<String> classLabels)

Method Summary

Modifier and Type	Method and Description
String	classify(DataRow row)
protected SVR	createClassifier(String classLabel)
protected void	createClassifiers(DataFrame dataFrame)
void	fit(DataFrame dataFrame)
double	getAlpha()
protected double	getClassifierScore(DataRow tuple, SVR classifier)
List<String>	getClassLabels()
boolean	isShuffleData()
protected List<DataFrame>	remerge(List<DataFrame> batches, int k)
void	reset()
Map<String,Integer>	score(DataRow row)
void	setAlpha(double alpha)
void	setShuffleData(boolean shuffleData)
protected List<DataFrame>	split(DataFrame dataFrame, int n)
double	transform(DataRow row)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

classifiers

protected List<TupleTwo<SVR,SVR>> classifiers

Constructor Detail

OneVsOneSVC

public OneVsOneSVC(List<String> classLabels)

OneVsOneSVC

public OneVsOneSVC()

Method Detail

isShuffleData

public boolean isShuffleData()

setShuffleData

public void setShuffleData(boolean shuffleData)

getAlpha

public double getAlpha()

setAlpha

public void setAlpha(double alpha)

createClassifiers

protected void createClassifiers(DataFrame dataFrame)

createClassifier

protected SVR createClassifier(String classLabel)

getClassifierScore

protected double getClassifierScore(DataRow tuple,
                                    SVR classifier)

split

protected List<DataFrame> split(DataFrame dataFrame,
                                int n)

remerge

protected List<DataFrame> remerge(List<DataFrame> batches,
                                  int k)

transform

public double transform(DataRow row)

Specified by:

transform in interface Learner

fit

public void fit(DataFrame dataFrame)

Specified by:

fit in interface Learner

classify

public String classify(DataRow row)

reset

public void reset()

getClassLabels

public List<String> getClassLabels()

score

public Map<String,Integer> score(DataRow row)