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F

FarthestCentroids - Class in ristretto.jmltools.clustering.evaluation

This index estimates the separation of clusters as the addition of distances from each centroid to its farthest centroid.

FarthestCentroids() - Constructor for class ristretto.jmltools.clustering.evaluation.FarthestCentroids

Construct a new evaluator that will use the Euclidean distance to measure the errors.

FarthestCentroids(DistanceMeasure) - Constructor for class ristretto.jmltools.clustering.evaluation.FarthestCentroids

Construct a new evaluator that will use the supplied distance metric to measure the errors

finalStatistics(EvolutionState, int) - Method in class ristretto.ecjtools.CoevolutionaryStatistics

Log the best individual of the run.

finalStatistics(EvolutionState, int) - Method in class ristretto.ecjtools.MultiObjectiveStatistics

Log the best individual of the run.

fitness() - Method in class ristretto.ecjtools.LexicographicFitness

Return the value of the first objective, since this is the objective with highest priority.

FITNESS_POSTAMBLE - Static variable in class ristretto.ecjtools.LexicographicFitness

Basic postamble for printing Fitness values out

fitnessToString() - Method in class ristretto.ecjtools.LexicographicFitness

Convert the fitness to a string

fitnessToStringForHumans() - Method in class ristretto.ecjtools.LexicographicFitness

Convert the fitness to a human-friendly string

frontLog - Variable in class ristretto.ecjtools.MultiObjectiveStatistics

The pareto front log

FSAbstractDistance - Class in ristretto.jmltools.distance

Abstract super class for all distances used to solve Feature Selection problems

FSAbstractDistance() - Constructor for class ristretto.jmltools.distance.FSAbstractDistance

Default constructor.

FSAbstractDistance(boolean[]) - Constructor for class ristretto.jmltools.distance.FSAbstractDistance

Construct a distance measure which only will take into account the features selected by the mask

FSCrossValidator - Class in ristretto.tools

Test the results of a Feature Selector via cross-validation

FSCrossValidator() - Constructor for class ristretto.tools.FSCrossValidator

FSDefaults - Class in ristretto.problem.fs

Default class for all the Feature Selection problems.

FSDefaults() - Constructor for class ristretto.problem.fs.FSDefaults

FSErrorRateValidator - Class in ristretto.tools

Obtain the training and test error rates of the results of a Feature Selector

FSErrorRateValidator() - Constructor for class ristretto.tools.FSErrorRateValidator

FSEuclideanDistance - Class in ristretto.jmltools.distance

This class implements the Euclidean distance.

FSEuclideanDistance() - Constructor for class ristretto.jmltools.distance.FSEuclideanDistance

Default constructor.

FSEuclideanDistance(boolean[]) - Constructor for class ristretto.jmltools.distance.FSEuclideanDistance

Construct a distance measure which only will take into account the features selected by the mask

FSKappaValidator - Class in ristretto.tools

Obtain the training and test Kappa indices of the results of a Feature Selector

FSKappaValidator() - Constructor for class ristretto.tools.FSKappaValidator

FSManhattanDistance - Class in ristretto.jmltools.distance

The Manhattan distance is the sum of the (absolute) differences of their coordinates.

FSManhattanDistance() - Constructor for class ristretto.jmltools.distance.FSManhattanDistance

Default constructor.

FSManhattanDistance(boolean[]) - Constructor for class ristretto.jmltools.distance.FSManhattanDistance

Construct a distance measure which only will take into account the features selected by the mask

FSParetoFrontAnalyzer - Class in ristretto.tools

Obtain the relevance of each feature in the whole Pareto front.

FSParetoFrontAnalyzer() - Constructor for class ristretto.tools.FSParetoFrontAnalyzer

FSRanker - Class in ristretto.tools

Translate a relevances file into a ranks file [1]

FSRanker() - Constructor for class ristretto.tools.FSRanker

FSRelevancesAnalyzer - Class in ristretto.tools

Gather the relevances from several experiments

FSRelevancesAnalyzer() - Constructor for class ristretto.tools.FSRelevancesAnalyzer

FSSensitivityValidator - Class in ristretto.tools

Obtain the training and test sensitivities of the results of a Feature Selector

FSSensitivityValidator() - Constructor for class ristretto.tools.FSSensitivityValidator

FSSpecificityValidator - Class in ristretto.tools

Obtain the training and test specificities of the results of a Feature Selector

FSSpecificityValidator() - Constructor for class ristretto.tools.FSSpecificityValidator

FSStabilitySpearmanScorer - Class in ristretto.tools

Computes the Spearman score achieved by a set of experiments

FSStabilitySpearmanScorer() - Constructor for class ristretto.tools.FSStabilitySpearmanScorer

FSSubsetCrossoverPipeline - Class in ristretto.problem.fs.subset.breed

FSSubsetCrossoverPipeline is a BreedingPipeline which implements a simple default crossover for a FSSubsetIndividual.

FSSubsetCrossoverPipeline() - Constructor for class ristretto.problem.fs.subset.breed.FSSubsetCrossoverPipeline

Default constructor

FSSubsetDefaults - Class in ristretto.problem.fs.subset

Default class for all the Feature Selection problems solved using individuals coded as subsets of feature indices.

FSSubsetDefaults() - Constructor for class ristretto.problem.fs.subset.FSSubsetDefaults

FSSubsetIndividual - Class in ristretto.problem.fs.subset

FSSubsetIndividual is an individual whose genome is a subset of selected features for a feature selection problem.

FSSubsetIndividual() - Constructor for class ristretto.problem.fs.subset.FSSubsetIndividual

FSSubsetMutationPipeline - Class in ristretto.problem.fs.subset.breed

FSSubsetMutationPipeline is a BreedingPipeline which implements a simple default Mutation for FSSubsetIndividual.

FSSubsetMutationPipeline() - Constructor for class ristretto.problem.fs.subset.breed.FSSubsetMutationPipeline

FSSubsetProblem - Class in ristretto.problem.fs.subset

Base abstract class for Feature Selection problems solved using individuals coded as subsets of feature indices.

FSSubsetProblem() - Constructor for class ristretto.problem.fs.subset.FSSubsetProblem

FSSubsetSpecies - Class in ristretto.problem.fs.subset

FSSubsetSpecies is a species which can create FSSubsetIndividual.

FSSubsetSpecies() - Constructor for class ristretto.problem.fs.subset.FSSubsetSpecies

FSSubsetSupervisedCoevolutionaryProblem - Class in ristretto.problem.fs.subset.supervised

Co-evolutive Lexicographic Multi-objective wrapper for supervised (labeled) datasets solved using a subset of feature indices as individuals representation.

FSSubsetSupervisedCoevolutionaryProblem() - Constructor for class ristretto.problem.fs.subset.supervised.FSSubsetSupervisedCoevolutionaryProblem

FSSubsetSupervisedProblem - Class in ristretto.problem.fs.subset.supervised

Multi-objective wrapper for supervised (labeled) datasets solved using a subset of feature indices as individuals representation.

FSSubsetSupervisedProblem() - Constructor for class ristretto.problem.fs.subset.supervised.FSSubsetSupervisedProblem

FSSubsetSupervisedProblem.ClassifierParameters - Class in ristretto.problem.fs.subset.supervised

Classifier parameters.

FSSubsetUnsupervisedProblem - Class in ristretto.problem.fs.subset.unsupervised

Multi-objective feature selection for unsupervised datasets solved using a subset of feature indices as individuals representation.

FSSubsetUnsupervisedProblem() - Constructor for class ristretto.problem.fs.subset.unsupervised.FSSubsetUnsupervisedProblem

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