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

Class OneVsAllClassifier

java.lang.Object

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

All Implemented Interfaces:

Classifier, PredictionFunction

public class OneVsAllClassifier
extends Object
implements Classifier

It is a multiclass classifier operating in a one-vs-all schema. It is suitable for multiclass classification tasks where every example must be associated to a single class. Basically, given a multiclass classification task with C classes, starting from the output provided by C different binary classifiers (on which this classifier relies on), the final predicted class is the one associated to the highest score (i.e. argmax policy)

Author:

Simone Filice

Constructor Summary

Constructors

Constructor and Description
OneVsAllClassifier()

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
OneVsAllClassificationOutput	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

Methods inherited from class java.lang.Object

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

Constructor Detail

OneVsAllClassifier

public OneVsAllClassifier()

Method Detail

getBinaryClassifiers

public Classifier[] getBinaryClassifiers()

Returns:

the binaryClassifiers

setBinaryClassifiers

public void setBinaryClassifiers(Classifier[] binaryClassifiers)

Parameters:

binaryClassifiers - the binaryClassifiers to set

predict

public OneVsAllClassificationOutput 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