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.


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.



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