Package com.rapidminer.operator.features.construction

Provides operators for automatic feature construction.

See:
Description

Interface Summary

ExampleSetBasedPopulationOperator

An operator that modifies populations.

Class Summary

AbstractFeatureConstruction	Abstract superclass of all feature processing operators who generate new features.
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.
AttributeAggregationOperator	Allows to generate a new attribute which consists of a function of several other attributes.
AttributeConstruction	This operator constructs new attributes from the attributes of the input example set.
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.
ConditionedFeatureGeneration	Generates a new attribute and sets the attributes values according to the fulfilling of the specified conditions.
ConstantGeneration	This PopulationOperator generates new random constant attribute 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.
EquivalentAttributeRemoval	If the example set contain two equivalent attributes, the longer representation is removed.
ExampleSetBasedFeatureOperator	This class is the superclass of all feature selection and generation operators.
ExampleSetBasedIndividual	Individuals contain all necessary informations about example sets for population based search heuristics, including the performance.
ExampleSetBasedIndividualOperator	A PopulationOperator that modifies a population by modifying all individuals independently.
ExampleSetBasedPopulation	A set of individuals.
ExampleSetBasedSelectionCrossover	Crossover operator for the used bitlists of example sets.
ExampleSetBasedSelectionMutation	Inverts the used bit for every feature of every example set with a given fixed probability.
ExampleSetBasedTournamentSelection	Performs tournaments with k participants.
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.
GaussFeatureConstructionOperator	Creates a gaussian function based on a given attribute and a specified mean and standard deviation sigma.
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.
LinearCombinationOperator	This operator applies a linear combination for each vector of the input ExampleSet, i.e.
ProductGenerationOperator	This operator creates all products of the specified attributes.
RemoveUselessAttributes	This individual operator removes all attributes from the example set which has weight 0 or the same minimum and maximum values.
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 com.rapidminer.operator.features.construction Description

Provides operators for automatic feature construction.