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G

gamma - Variable in class ristretto.problem.fs.subset.supervised.FSSubsetSupervisedProblem.ClassifierParameters

gamma value for RBF kernels (SVM)

generateTrainingData(FSSubsetIndividual) - Method in class ristretto.problem.fs.subset.supervised.FSSubsetSupervisedProblem

Project the selected features according to ind and apply LDA depending on the value of applyLDA

genome - Variable in class ristretto.problem.fs.subset.FSSubsetIndividual

Subset of selected feature indices

genomeLength() - Method in class ristretto.problem.fs.subset.FSSubsetIndividual

Return the length of the genome.

genotypeToString() - Method in class ristretto.problem.fs.subset.FSSubsetIndividual

Convert the gnome into a string

genotypeToStringForHumans() - Method in class ristretto.problem.fs.subset.FSSubsetIndividual

Return the gnome in a human-readable format

getGenome() - Method in class ristretto.problem.fs.subset.FSSubsetIndividual

Return the genome.

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

Return the number of objectives.

getObjective(int) - Method in class ristretto.ecjtools.LexicographicFitness

Get an objective value.

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

Return the objectives as an array.

getSVMC(EvolutionState, Individual, Individual[]) - Method in class ristretto.problem.fs.subset.supervised.FSSubsetSupervisedCoevolutionaryProblem

Get the value of the penalty parameter (C) of the SVM used to co-evaluate an individual

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