Package edu.udo.cs.yale.operator.features.construction

Provides operators for automatic feature construction.

See:
Description

Class Summary

AbstractGeneratingGeneticAlgorithm	In contrast to its superclass GeneticAlgorithm, the GeneratingGeneticAlgorithm generates new attributes and thus can change the length of an individual.
AGA	Basically the same operator as the GeneratingGeneticAlgorithm operator.
AttributeGenerator	This PopulationOperator generates new attributes in an individual's example table.
CompleteFeatureGenerationOperator	This operator applies a set of functions on all features of the input example set.
ConstantGeneration	This PopulationOperator generates new random constant attributes in an individual's example table.
DirectedGeneratingMutation	The mutation operator for directed GGAs.
DirectedGGA	DirectedGGA is an acronym for a Generating Genetic Algorithm which uses probability directed search heuristics to select attributes for generation or removing.
FeatureGenerationOperator	This operator generates new user specified features.
FourierGeneratingMutation	The mutation operator for FourierGGA.
FourierGenerator	This PopulationOperator generates new attributes in an individual's example table.
FourierGGA	FourierGGA has all functions of YAGGA2.
GeneratingForwardSelection	This operator is a kind of nested forward selection and thus is (in contrast to a genetic algorithm) a directed search.
GeneratingGeneticAlgorithm	In contrast to the class GeneticAlgorithm, the GeneratingGeneticAlgorithm generates new attributes and thus can change the length of an individual.
GeneratingMutation	The mutation operator for YAGGA.
UnbalancedCrossover	This PopulationOperator applies a crossover on two example sets.
YAGGA	YAGGA is an acronym for Yet Another Generating Genetic Algorithm.
YAGGA2	YAGGA is an acronym for Yet Another Generating Genetic Algorithm.

Package edu.udo.cs.yale.operator.features.construction Description

Provides operators for automatic feature construction.