CRAN
GenAlgo 2.1.5
Classes and Methods to Use Genetic Algorithms for Feature Selection
Released Oct 17, 2018 by Kevin R. Coombes
This package cannot yet be used with Renjin it depends on other packages which are not available: ClassDiscovery 3.3.9
An older version of this package is
more compatible with Renjin.
Dependencies
ClassDiscovery 3.3.9 oompaBase 3.2.6 MASS 7.3-51
Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.