Classes and Methods to Use Genetic Algorithms for Feature
Selection
Description
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.
