com.github.chen0040.glm.solvers

Class OneVsOneGlmClassifier

java.lang.Object

com.github.chen0040.glm.solvers.OneVsOneGlmClassifier

public class OneVsOneGlmClassifier
extends Object

Created by xschen on 8/20/2015 0020.

Field Summary

Fields

Modifier and Type	Field and Description
protected List<com.github.chen0040.data.utils.TupleTwo<Glm,Glm>>	classifiers

Constructor Summary

Constructors

Constructor and Description
OneVsOneGlmClassifier()
OneVsOneGlmClassifier(List<String> classLabels)
OneVsOneGlmClassifier(java.util.function.Supplier<Glm> binaryClassifierGenerator)

Method Summary

Modifier and Type	Method and Description
String	classify(com.github.chen0040.data.frame.DataRow row)
protected Glm	createClassifier(String classLabel)
protected void	createClassifiers(com.github.chen0040.data.frame.DataFrame dataFrame)
void	fit(com.github.chen0040.data.frame.DataFrame dataFrame)
double	getAlpha()
protected double	getClassifierScore(com.github.chen0040.data.frame.DataRow tuple, Glm classifier)
List<String>	getClassLabels()
boolean	isShuffleData()
protected List<com.github.chen0040.data.frame.DataFrame>	remerge(List<com.github.chen0040.data.frame.DataFrame> batches, int k)
void	reset()
Map<String,Integer>	score(com.github.chen0040.data.frame.DataRow row)
void	setAlpha(double alpha)
void	setShuffleData(boolean shuffleData)
protected List<com.github.chen0040.data.frame.DataFrame>	split(com.github.chen0040.data.frame.DataFrame dataFrame, int n)
double	transform(com.github.chen0040.data.frame.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<com.github.chen0040.data.utils.TupleTwo<Glm,Glm>> classifiers

Constructor Detail

OneVsOneGlmClassifier

public OneVsOneGlmClassifier(List<String> classLabels)

OneVsOneGlmClassifier

public OneVsOneGlmClassifier()

OneVsOneGlmClassifier

public OneVsOneGlmClassifier(java.util.function.Supplier<Glm> binaryClassifierGenerator)

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(com.github.chen0040.data.frame.DataFrame dataFrame)

createClassifier

protected Glm createClassifier(String classLabel)

getClassifierScore

protected double getClassifierScore(com.github.chen0040.data.frame.DataRow tuple,
                                    Glm classifier)

split

protected List<com.github.chen0040.data.frame.DataFrame> split(com.github.chen0040.data.frame.DataFrame dataFrame,
                                                               int n)

remerge

protected List<com.github.chen0040.data.frame.DataFrame> remerge(List<com.github.chen0040.data.frame.DataFrame> batches,
                                                                 int k)

transform

public double transform(com.github.chen0040.data.frame.DataRow row)

fit

public void fit(com.github.chen0040.data.frame.DataFrame dataFrame)

classify

public String classify(com.github.chen0040.data.frame.DataRow row)

reset

public void reset()

getClassLabels

public List<String> getClassLabels()

score

public Map<String,Integer> score(com.github.chen0040.data.frame.DataRow row)