Uses of Class
Core.BaseLearners.LearningAttributeWeights.LearningAttributeWeights

Packages that use LearningAttributeWeights

Package	Description
Core.BaseLearners.LearningAttributeWeights
Core.CBR

Uses of LearningAttributeWeights in Core.BaseLearners.LearningAttributeWeights

Subclasses of LearningAttributeWeights in Core.BaseLearners.LearningAttributeWeights

Modifier and Type	Class and Description
class	GDweightLearning Implements Gradinet Descent algorithm for learning the weights of the attributes.
class	GeneticWeightLearning Implements a Genetic Algorithm Optimization method to optimize the weight of the attributes.
class	GWeightingProcessLearning
class	LearnNot Mètode de Learning de pesos d'atributs que deixa els pesos tal i com estan
class	LRSweightLearning Implements the Linear Random Search algorithm (Hill Climbing) for learning attribute weights
class	PSOweightLearning Implements a Particle Swarm Optimisation method to optimise the weight of the attributes.
class	PSOweightLearningPEPPER Implements a Particle Swarm Optimisation method to optimise the weight of the attributes.
class	SalzbergModified
class	SalzbergWeightLearning This class implements the Slzberg (1991) method for learning attributes weight.
class	SAweightLearning Implements a Simulated Annealing Optimization method to optimize the weight of the attributes.

Methods in Core.BaseLearners.LearningAttributeWeights that return LearningAttributeWeights

Modifier and Type	Method and Description
LearningAttributeWeights	LearnFactory.Factory(java.lang.String tipus)

Uses of LearningAttributeWeights in Core.CBR

Fields in Core.CBR declared as LearningAttributeWeights

Modifier and Type	Field and Description
protected LearningAttributeWeights	CBR.learn Decides the weights of the attributes for the current execution.

Methods in Core.CBR with parameters of type LearningAttributeWeights

Modifier and Type	Method and Description
void	CBR.afegeixLearn(LearningAttributeWeights l) Adds a weights learning method to this CBR