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main(String[]) - Static method in class ristretto.tools.DatasetSplitter

Split a dataset into a training and test datasets given a test proportion, that is, the proportion of data reserved to the test dataset.

main(String[]) - Static method in class ristretto.tools.FSCrossValidator

Test the results of a Feature Selector via cross-validation

main(String[]) - Static method in class ristretto.tools.FSErrorRateValidator

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

main(String[]) - Static method in class ristretto.tools.FSKappaValidator

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

main(String[]) - Static method in class ristretto.tools.FSParetoFrontAnalyzer

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

main(String[]) - Static method in class ristretto.tools.FSRanker

Translate a relevances file into a ranks file

main(String[]) - Static method in class ristretto.tools.FSRelevancesAnalyzer

Gather the relevances from several experiments

main(String[]) - Static method in class ristretto.tools.FSSensitivityValidator

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

main(String[]) - Static method in class ristretto.tools.FSSpecificityValidator

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

main(String[]) - Static method in class ristretto.tools.FSStabilitySpearmanScorer

Computes the Spearman score achieved by a set of experiments

main(String[]) - Static method in class ristretto.tools.KolmogorovSmirnovNormalityTest

Applies a Kolmogorov-Smirnov normality test to a set of values and prints the p-value

main(String[]) - Static method in class ristretto.tools.RandomFeatureAdder

Append some random features to a training dataset, and also to a test dataset if provided

main(String[]) - Static method in class tests.testCVI.TestCVI

Test a separation and a compactness CVI

main(String[]) - Static method in class tests.testDirectLDA.TestDirectLDA

Test the direct LDA method

main(String[]) - Static method in class tests.testNaiveBayes.TestNaiveBayes

Test Naive Bayes as a wrapper classifier

main(String[]) - Static method in class tests.testNormalization.TestNormalization

Test of the normalization function of the MoreDatasetTools class

main(String[]) - Static method in class tests.testSplit.TestSplit

Test of the split function of the MoreDatasetTools class.

mask - Variable in class ristretto.jmltools.distance.FSAbstractDistance

Mask for the selected attributes

MaxClusterDiameter - Class in ristretto.jmltools.clustering.evaluation

This is a cluster cohesion index based on the cohesion criterion used by the Dunn index [1].

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

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

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

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

maxDistance() - Method in class ristretto.jmltools.clustering.evaluation.CVIFSNormalizer

Return the maximum distance between two data in a normalized dataset

maxFeature - Variable in class ristretto.problem.fs.subset.FSSubsetSpecies

What's the largest feature index to be used?

maximize - Variable in class ristretto.ecjtools.LexicographicFitness

Maximization.

maxObjective - Variable in class ristretto.ecjtools.LexicographicFitness

Desired maximum fitness values.

maxSize - Variable in class ristretto.problem.fs.subset.FSSubsetSpecies

What's the largest legal genome?

measure(Instance, Instance) - Method in class ristretto.jmltools.distance.FSEuclideanDistance

Calculate the Euclidean distance as the sum of the absolute differences of their coordinates.

measure(Instance, Instance) - Method in class ristretto.jmltools.distance.FSManhattanDistance

Calculate the Manhattan distance as the sum of the absolute differences of their coordinates.

MinFarthestCentroid - Class in ristretto.jmltools.clustering.evaluation

This index estimates the separation of clusters as the minimum of the max distance from a centroid to all the remaining centroids.

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

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

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

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

minFeature - Variable in class ristretto.problem.fs.subset.FSSubsetSpecies

What's the smallest feature index to be used?

minObjective - Variable in class ristretto.ecjtools.LexicographicFitness

Desired minimum fitness values.

minSize - Variable in class ristretto.problem.fs.subset.FSSubsetSpecies

What's the smallest legal genome?

MoreDatasetTools - Class in ristretto.jmltools

Add several tools to those provided by Java-ML.

MoreDatasetTools() - Constructor for class ristretto.jmltools.MoreDatasetTools

MultiObjectiveStatistics - Class in ristretto.ecjtools

MultiObjective Statistics.

MultiObjectiveStatistics() - Constructor for class ristretto.ecjtools.MultiObjectiveStatistics

mutationProb - Variable in class ristretto.problem.fs.subset.FSSubsetSpecies

Probability that a gene will mutate, per gene.

mutationProbability() - Method in class ristretto.problem.fs.subset.FSSubsetSpecies

Return the mutation probability

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