Search Java Classes and Packages

Search Java Frameworks and Libraries

255581 classes and counting ...
Search Tips Index Status



#Net.sf.javaml.featureselection Classes and Interfaces - 14 results found.
NameDescriptionTypePackageFramework
FeatureRankingInterface for algorithms that can generate an attribute ranking.Interfacenet.sf.javaml.featureselectionJavaML
FeatureScoringInterface for all attribute evaluation methods.Interfacenet.sf.javaml.featureselectionJavaML
FeatureSelectionTop-level interface for feature selection algorithms.Interfacenet.sf.javaml.featureselectionJavaML
FeatureSubsetSelectionInterface for all attribute subset selection algorithms.Interfacenet.sf.javaml.featureselectionJavaML
GainRatioClassnet.sf.javaml.featureselection.scoringJavaML
GreedyBackwardEliminationProvides an implementation of the backward greedy attribute subset elimination algorithm.Classnet.sf.javaml.featureselection.subsetJavaML
GreedyForwardSelectionProvides an implementation of the forward greedy attribute subset selection.Classnet.sf.javaml.featureselection.subsetJavaML
KullbackLeiblerDivergenceFeature scoring algorithm based on Kullback-Leibler divergence of the value distributions of features.Classnet.sf.javaml.featureselection.scoringJavaML
LinearRankingEnsembleProvides a linear aggregation feature selection ensemble as described in Saeys, Y.Classnet.sf.javaml.featureselection.ensembleJavaML
RandomForestAttributeEvaluationRandom Forest based attribute evaluation.Classnet.sf.javaml.featureselection.scoringJavaML
RankingFromScoringCreates an attribute ranking from an attribute evaluation technique.Classnet.sf.javaml.featureselection.rankingJavaML
RecursiveFeatureEliminationSVM Starting with the full feature set, attributes are ranked according to the weights they get in a linear SVM.Classnet.sf.javaml.featureselection.rankingJavaML
RELIEF This implementation is extended to include more neighbors in calculating the weights of the features.Classnet.sf.javaml.featureselection.scoringJavaML
SymmetricalUncertaintyClassnet.sf.javaml.featureselection.scoringJavaML