it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive

Class KernelizedPassiveAggressiveClassification

java.lang.Object

it.uniroma2.sag.kelp.learningalgorithm.PassiveAggressive

it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive.PassiveAggressiveClassification

it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive.KernelizedPassiveAggressiveClassification

All Implemented Interfaces:

BinaryLearningAlgorithm, ClassificationLearningAlgorithm, KernelMethod, LearningAlgorithm, OnlineLearningAlgorithm

public class KernelizedPassiveAggressiveClassification
extends PassiveAggressiveClassification
implements KernelMethod

Online Passive-Aggressive Learning Algorithm for classification tasks (Kernel Machine version) . Every time an example is misclassified it is added as support vector, with the weight that solves the passive aggressive minimization problem reference:

[CrammerJLMR2006] Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz and Yoram Singer Online Passive-Aggressive Algorithms. Journal of Machine Learning Research (2006)

The standard algorithm is modified, including the fairness extention from

[FiliceECIR2014] S. Filice, G. Castellucci, D. Croce, and R. Basili. Effective Kernelized Online Learning in Language Processing Tasks. In collection of Advances in Information Retrieval, pp. 347–358, Springer International Publishing, 2014.

Author:

Simone Filice

Nested Class Summary

Nested classes/interfaces inherited from class it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive.PassiveAggressiveClassification

PassiveAggressiveClassification.Loss

Nested classes/interfaces inherited from class it.uniroma2.sag.kelp.learningalgorithm.PassiveAggressive

PassiveAggressive.Policy

Field Summary

Fields inherited from class it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive.PassiveAggressiveClassification

classifier, cp, fairness, loss

Fields inherited from class it.uniroma2.sag.kelp.learningalgorithm.PassiveAggressive

c, label, policy

Constructor Summary

Constructors

Constructor and Description
KernelizedPassiveAggressiveClassification()
KernelizedPassiveAggressiveClassification(float cp, float cn, PassiveAggressiveClassification.Loss loss, PassiveAggressive.Policy policy, Kernel kernel, Label label)

Method Summary

Methods

Modifier and Type	Method and Description
KernelizedPassiveAggressiveClassification	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.passiveaggressive.PassiveAggressiveClassification

getC, getCn, getCp, getLoss, isFairness, learn, learn, setC, setCn, setCp, setFairness, setLoss

Methods inherited from class it.uniroma2.sag.kelp.learningalgorithm.PassiveAggressive

computeWeight, getLabel, getLabels, getPolicy, reset, setLabel, setLabels, setPolicy

Methods inherited from class java.lang.Object

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

Methods inherited from interface it.uniroma2.sag.kelp.learningalgorithm.LearningAlgorithm

getLabels, reset, setLabels

Constructor Detail

KernelizedPassiveAggressiveClassification

public KernelizedPassiveAggressiveClassification()

KernelizedPassiveAggressiveClassification

public KernelizedPassiveAggressiveClassification(float cp,
                                         float cn,
                                         PassiveAggressiveClassification.Loss loss,
                                         PassiveAggressive.Policy policy,
                                         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 KernelizedPassiveAggressiveClassification 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 PassiveAggressiveClassification

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