Package jsat.datatransform.featureselection

Class Summary

Class	Description
BDS	Bidirectional Search (BDS) is a greedy method of selecting a subset of features to use for prediction.
LRS	plus-L minus-R Selection (LRS) is a greedy method of selecting a subset of features to use for prediction.
MutualInfoFS	Performs greedy feature selection based on Mutual Information of the features with respect to the class values.
ReliefF	Provides an implementation of the ReliefF algorithm for feature importance computing.
SBS	Sequential Backward Selection (SBS) is a greedy method of selecting a subset of features to use for prediction.
SFS	Sequential Forward Selection (SFS) is a greedy method of selecting a subset of features to use for prediction.

Enum Summary

Enum	Description
MutualInfoFS.NumericalHandeling	The definition for mutual information for continuous attributes requires an integration of an unknown function, as such requires some form of approximation.