it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass

Class OneVsOneClassifier

java.lang.Object

it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass.OneVsOneClassifier

All Implemented Interfaces:

Classifier, PredictionFunction

public class OneVsOneClassifier
extends Object
implements Classifier

Author:

Giuseppe Castellucci

Constructor Summary

Constructors

Constructor and Description
OneVsOneClassifier()

Method Summary

Methods

Modifier and Type	Method and Description
Classifier[]	getBinaryClassifiers()
List<Label>	getLabels() Returns the labels representing the concept to be predicted.
MulticlassModel	getModel() Returns the model
Label[]	getNegativeLabelsForClassifier() Return the negative labels associated to each classifier
OneVsOneClassificationOutput	predict(Example example)
void	reset() Resets all the predictor parameters to the default state.
void	setBinaryClassifiers(Classifier[] binaryClassifiers)
void	setLabels(List<Label> labels) Sets the labels representing the concept to be predicted.
void	setModel(Model model) Sets the model
void	setNegativeLabelsForClassifier(Label[] negativeLabelsForClassifier) Set the negative label classifier array

Methods inherited from class java.lang.Object

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

Constructor Detail

OneVsOneClassifier

public OneVsOneClassifier()

Method Detail

getNegativeLabelsForClassifier

public Label[] getNegativeLabelsForClassifier()

Return the negative labels associated to each classifier

Returns:

an array in which entry i is the negative label of classifier i

setNegativeLabelsForClassifier

public void setNegativeLabelsForClassifier(Label[] negativeLabelsForClassifier)

Set the negative label classifier array

Parameters:

negativeLabelsForClassifier -

getBinaryClassifiers

public Classifier[] getBinaryClassifiers()

Returns:

the binaryClassifiers

setBinaryClassifiers

public void setBinaryClassifiers(Classifier[] binaryClassifiers)

Parameters:

binaryClassifiers - the binaryClassifiers to set

predict

public OneVsOneClassificationOutput predict(Example example)

Specified by:

predict in interface Classifier

Specified by:

predict in interface PredictionFunction

reset

public void reset()

Description copied from interface: PredictionFunction

Resets all the predictor parameters to the default state. All the learned process is forgotten

Specified by:

reset in interface PredictionFunction

setLabels

public void setLabels(List<Label> labels)

Description copied from interface: PredictionFunction

Sets the labels representing the concept to be predicted.

Specified by:

setLabels in interface PredictionFunction

Parameters:

labels - the labels representing the concept to be predicted

getLabels

public List<Label> getLabels()

Description copied from interface: PredictionFunction

Returns the labels representing the concept to be predicted.

Specified by:

getLabels in interface PredictionFunction

Returns:

the labels representing the concept to be predicted

getModel

public MulticlassModel getModel()

Description copied from interface: PredictionFunction

Returns the model

Specified by:

getModel in interface PredictionFunction

Returns:

model the model

setModel

public void setModel(Model model)

Description copied from interface: PredictionFunction

Sets the model

Specified by:

setModel in interface PredictionFunction

Parameters:

model - the model to set