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.
|Author||Kevin R. Coombes|
|Date of publication||2016-05-09 21:26:32|
|Maintainer||Kevin R. Coombes <email@example.com>|
|License||Apache License (== 2.0)|
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