A B C D E F G H I K L M N O P R S T U V W Z
All Classes All Packages
All Classes All Packages
All Classes All Packages
R
- RandomFeatureAdder - Class in ristretto.tools
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Append some random features to a training dataset, and also to a test dataset if provided
- RandomFeatureAdder() - Constructor for class ristretto.tools.RandomFeatureAdder
- readFitness(EvolutionState, DataInput) - Method in class ristretto.ecjtools.LexicographicFitness
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Read a fitness from a file
- readFitness(EvolutionState, LineNumberReader) - Method in class ristretto.ecjtools.LexicographicFitness
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Read a fitness from a numbered reader
- readGenotype(EvolutionState, DataInput) - Method in class ristretto.problem.fs.subset.FSSubsetIndividual
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Read the genome from a binary stream.
- refClusterSize() - Method in class ristretto.jmltools.clustering.evaluation.CVIFSNormalizer
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Return the average size of the clusters that would be obtained for a random dataset with the same input features and number of clusters refClusterDiameter = 1 / Math.pow(nClusters, 1/nSelectedFeatures)
- reset(EvolutionState, int) - Method in class ristretto.problem.fs.subset.FSSubsetIndividual
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Initializes the individual by randomly choosing features.
- rg - Variable in class ristretto.jmltools.clustering.LBG
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Random generator for this clusterer.
- ristretto - package ristretto
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The ristretto feature selection package
- ristretto.ecjtools - package ristretto.ecjtools
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Additional classes to those provided by ECJ
- ristretto.jmltools - package ristretto.jmltools
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Additional classes to those provided by net.sf.javaml.tools
- ristretto.jmltools.classification - package ristretto.jmltools.classification
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Additional classifiers to those provided by net.sf.javaml.classification
- ristretto.jmltools.classification.evaluation - package ristretto.jmltools.classification.evaluation
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Typical classification performance indexes
- ristretto.jmltools.clustering - package ristretto.jmltools.clustering
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Additional clusterers to those provided by net.sf.javaml.clustering
- ristretto.jmltools.clustering.evaluation - package ristretto.jmltools.clustering.evaluation
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Typical clustering validity indices
- ristretto.jmltools.distance - package ristretto.jmltools.distance
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Modified distance metrics to take into account only the selected features
- ristretto.problem.fs - package ristretto.problem.fs
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Feature selection defaults
- ristretto.problem.fs.subset - package ristretto.problem.fs.subset
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Feature selection classes to support features subset-based individuals
- ristretto.problem.fs.subset.breed - package ristretto.problem.fs.subset.breed
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Breeding pipelines for features subset-based individuals
- ristretto.problem.fs.subset.supervised - package ristretto.problem.fs.subset.supervised
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Feature selection supervised problems for features subset-based individuals
- ristretto.problem.fs.subset.unsupervised - package ristretto.problem.fs.subset.unsupervised
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Feature selection unsupervised problems for features subset-based individuals
- ristretto.problem.test.zdt - package ristretto.problem.test.zdt
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Test problem for multiobjective algorithms
- ristretto.tools - package ristretto.tools
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Some tools to make the experimentation easier
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