Name | Description | Type | Package | Framework |
FeatureRanking | Interface for algorithms that can generate an attribute ranking. | Interface | net.sf.javaml.featureselection | JavaML |
FeatureScoring | Interface for all attribute evaluation methods. | Interface | net.sf.javaml.featureselection | JavaML |
FeatureSelection | Top-level interface for feature selection algorithms. | Interface | net.sf.javaml.featureselection | JavaML |
FeatureSubsetSelection | Interface for all attribute subset selection algorithms. | Interface | net.sf.javaml.featureselection | JavaML |
GainRatio | Class | net.sf.javaml.featureselection.scoring | JavaML | |
GreedyBackwardElimination | Provides an implementation of the backward greedy attribute subset elimination algorithm. | Class | net.sf.javaml.featureselection.subset | JavaML |
GreedyForwardSelection | Provides an implementation of the forward greedy attribute subset selection. | Class | net.sf.javaml.featureselection.subset | JavaML |
KullbackLeiblerDivergence | Feature scoring algorithm based on Kullback-Leibler divergence of the value distributions of features. | Class | net.sf.javaml.featureselection.scoring | JavaML |
LinearRankingEnsemble | Provides a linear aggregation feature selection ensemble as described in Saeys, Y. | Class | net.sf.javaml.featureselection.ensemble | JavaML |
RandomForestAttributeEvaluation | Random Forest based attribute evaluation. | Class | net.sf.javaml.featureselection.scoring | JavaML |
RankingFromScoring | Creates an attribute ranking from an attribute evaluation technique. | Class | net.sf.javaml.featureselection.ranking | JavaML |
RecursiveFeatureEliminationSVM | Starting with the full feature set, attributes are ranked according to the weights they get in a linear SVM. | Class | net.sf.javaml.featureselection.ranking | JavaML |
RELIEF | This implementation is extended to include more neighbors in calculating the weights of the features. | Class | net.sf.javaml.featureselection.scoring | JavaML |
SymmetricalUncertainty | Class | net.sf.javaml.featureselection.scoring | JavaML | |