Package com.rapidminer.operator.features

Provides feature handling operators.

See:
Description

Interface Summary

PopulationEvaluator	This evaluator is used by the feature selection / generation / weighting operators.
PopulationOperator	An operator that modifies populations.

Class Summary

AbstractFeatureProcessing	Superclass of all operators changing the features (attributes) of an ExampleSet.
AttributeWeightsApplier	This operator deselects attributes with a weight value of 0.0.
FeatureOperator	This class is the superclass of all feature selection and generation operators.
Individual	Individuals contain all necessary informations for feature selection or weighting of example sets for population based search heuristics, including the performance.
IndividualOperator	A PopulationOperator that modifies a population by modifying all individuals independently.
KeepBest	Keeps the n best individuals and kicks out the rest.
Population	A set of individuals.
PopulationPlotter	Plots all individuals in performance space, i.e. the dimensions of the plot (color for the third dimension) corresponds to performance criteria.
RedundanceRemoval	Ensures that every individual appears only once.
SimplePopulationEvaluator	This is the basic population operator for feature set evaluation schemes.

Package com.rapidminer.operator.features Description

Provides feature handling operators. These are wrappers that can create new attributes or select the best subset of attributes of the given example set.