Core.BaseLearners.LearningAttributeWeights

Class GWeightingProcessLearning

java.lang.Object

Core.BaseLearners.LearningAttributeWeights.LearningAttributeWeights

Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning

public class GWeightingProcessLearning
extends LearningAttributeWeights

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	GWeightingProcessLearning.Individual

Field Summary

Fields inherited from class Core.BaseLearners.LearningAttributeWeights.LearningAttributeWeights

path

Constructor Summary

Constructors

Constructor and Description
GWeightingProcessLearning()
GWeightingProcessLearning(int populationSize, int nGenerations, double pCrossover, double pMutation)

Method Summary

Methods

Modifier and Type	Method and Description
java.util.List<GWeightingProcessLearning.Individual>	geneticAlgorithm(CBR cbr, Attribute[] attributes)
Attribute[]	learn(CBR cbr, Attribute[] attributes) Mètode de aprenentatge de pesos que modifica el pes dels atributs de la Population train en funció de la Population de test

Methods inherited from class Core.BaseLearners.LearningAttributeWeights.LearningAttributeWeights

addIgnoredWeights, learnWeights

Methods inherited from class java.lang.Object

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

Constructor Detail

GWeightingProcessLearning

public GWeightingProcessLearning(int populationSize,
                         int nGenerations,
                         double pCrossover,
                         double pMutation)

GWeightingProcessLearning

public GWeightingProcessLearning()

Method Detail

learn

public Attribute[] learn(CBR cbr,
                Attribute[] attributes)

Description copied from class: LearningAttributeWeights

Mètode de aprenentatge de pesos que modifica el pes dels atributs de la Population train en funció de la Population de test

Specified by:

learn in class LearningAttributeWeights

Returns:

geneticAlgorithm

public java.util.List<GWeightingProcessLearning.Individual> geneticAlgorithm(CBR cbr,
                                                                    Attribute[] attributes)