it.uniroma2.sag.kelp.predictionfunction.classifier

Class BinaryKernelMachineClassifier

java.lang.Object

it.uniroma2.sag.kelp.predictionfunction.classifier.BinaryClassifier

it.uniroma2.sag.kelp.predictionfunction.classifier.BinaryKernelMachineClassifier

All Implemented Interfaces:

Classifier, PredictionFunction

public class BinaryKernelMachineClassifier
extends BinaryClassifier

It is a kernel-base binary classifier

Author:

Simone Filice

Field Summary

Fields inherited from class it.uniroma2.sag.kelp.predictionfunction.classifier.BinaryClassifier

positiveClass

Constructor Summary

Constructors

Constructor and Description
BinaryKernelMachineClassifier()
BinaryKernelMachineClassifier(BinaryKernelMachineModel model, Label label)

Method Summary

Methods

Modifier and Type	Method and Description
BinaryKernelMachineModel	getModel() Returns the model
BinaryMarginClassifierOutput	predict(Example example) Classifies an example applying the following formula: y(x) = \sum_{i \in SV}\alpha_i k(x_i, x) + b
void	reset() Resets all the predictor parameters to the default state.
void	setModel(Model model) Sets the model

Methods inherited from class it.uniroma2.sag.kelp.predictionfunction.classifier.BinaryClassifier

getLabel, getLabels, setLabel, setLabels

Methods inherited from class java.lang.Object

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

Constructor Detail

BinaryKernelMachineClassifier

public BinaryKernelMachineClassifier()

BinaryKernelMachineClassifier

public BinaryKernelMachineClassifier(BinaryKernelMachineModel model,
                             Label label)

Method Detail

predict

public BinaryMarginClassifierOutput predict(Example example)

Classifies an example applying the following formula: y(x) = \sum_{i \in SV}\alpha_i k(x_i, x) + b

Specified by:

predict in interface Classifier

Specified by:

predict in interface PredictionFunction

Specified by:

predict in class BinaryClassifier

Returns:

the classification result (i.e. the distance from the implicit classification hyperplane)

getModel

public BinaryKernelMachineModel getModel()

Returns the model

Specified by:

getModel in interface PredictionFunction

Specified by:

getModel in class BinaryClassifier

Returns:

the model

setModel

public void setModel(Model model)

Description copied from interface: PredictionFunction

Sets the model

Parameters:

model - the model to set

reset

public void reset()

Description copied from interface: PredictionFunction

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