it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron

Class KernelizedPerceptron

java.lang.Object

it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron.Perceptron

it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron.KernelizedPerceptron

All Implemented Interfaces:

BinaryLearningAlgorithm, ClassificationLearningAlgorithm, KernelMethod, LearningAlgorithm, OnlineLearningAlgorithm

public class KernelizedPerceptron
extends Perceptron
implements KernelMethod

The perceptron learning algorithm algorithm for classification tasks (Kernel machine version). Reference:

[Rosenblatt1957] F. Rosenblatt. The Perceptron – a perceiving and recognizing automaton. Report 85-460-1, Cornell Aeronautical Laboratory (1957)

Author:

Simone Filice

Field Summary

Fields inherited from class it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron.Perceptron

alpha, classifier, label, margin, unbiased

Constructor Summary

Constructors

Constructor and Description
KernelizedPerceptron()
KernelizedPerceptron(float alpha, float margin, boolean unbiased, Kernel kernel, Label label)

Method Summary

Methods

Modifier and Type	Method and Description
KernelizedPerceptron	duplicate() Creates a new instance of the LearningAlgorithm initialized with the same parameters of the learningAlgorithm to be duplicated.
Kernel	getKernel() Returns the kernel exploited by this learner
BinaryKernelMachineClassifier	getPredictionFunction() Returns the classifier learned during the training process
void	setKernel(Kernel kernel) Sets the kernel this
void	setPredictionFunction(PredictionFunction predictionFunction) Sets the predictionFunction learned during the training process.

Methods inherited from class it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron.Perceptron

getAlpha, getLabel, getLabels, getMargin, isUnbiased, learn, learn, reset, setAlpha, setLabel, setLabels, setMargin, setUnbiased

Methods inherited from class java.lang.Object

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

Constructor Detail

KernelizedPerceptron

public KernelizedPerceptron()

KernelizedPerceptron

public KernelizedPerceptron(float alpha,
                    float margin,
                    boolean unbiased,
                    Kernel kernel,
                    Label label)

Method Detail

getKernel

public Kernel getKernel()

Description copied from interface: KernelMethod

Returns the kernel exploited by this learner

Specified by:

getKernel in interface KernelMethod

Returns:

the kernel

setKernel

public void setKernel(Kernel kernel)

Description copied from interface: KernelMethod

Sets the kernel this

Specified by:

setKernel in interface KernelMethod

Parameters:

kernel - the kernel to set

duplicate

public KernelizedPerceptron duplicate()

Description copied from interface: LearningAlgorithm

Creates a new instance of the LearningAlgorithm initialized with the same parameters of the learningAlgorithm to be duplicated. A shallow copy of the learning parameters is performed, while the state parameters are initialized to their default value. The labels are not initialized neither copied

Specified by:

duplicate in interface LearningAlgorithm

getPredictionFunction

public BinaryKernelMachineClassifier getPredictionFunction()

Description copied from interface: ClassificationLearningAlgorithm

Returns the classifier learned during the training process

Specified by:

getPredictionFunction in interface ClassificationLearningAlgorithm

Specified by:

getPredictionFunction in interface LearningAlgorithm

Overrides:

getPredictionFunction in class Perceptron

Returns:

the predictionFunction learned during the training process

setPredictionFunction

public void setPredictionFunction(PredictionFunction predictionFunction)

Description copied from interface: LearningAlgorithm

Sets the predictionFunction learned during the training process. It can be used to change the default prediction function, or to set an already trained one.

Specified by:

setPredictionFunction in interface LearningAlgorithm