GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection

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 <krc@silicovore.com>
License
Apache License (== 2.0)
Version
2.1.2
URLs

View on R-Forge

Man pages

gaTourResults
Results of a Genetic Algorithm
genalg
A generic Genetic Algorithm for feature selection
genalg-class
Class "GenAlg"
genalg-tools
Utility functions for selection and mutation in genetic...
maha
Compute the (squared) Mahalanobis distance between two groups...
tourData09
Tour de France 2009

Files in this package

GenAlgo/DESCRIPTION
GenAlgo/NAMESPACE
GenAlgo/NEWS
GenAlgo/R
GenAlgo/R/AllGenerics.R
GenAlgo/R/cp00-utility.R
GenAlgo/R/cp01-genalg.R
GenAlgo/TODO
GenAlgo/build
GenAlgo/build/vignette.rds
GenAlgo/data
GenAlgo/data/gaTourResults.rda
GenAlgo/data/tourData09.rda
GenAlgo/inst
GenAlgo/inst/doc
GenAlgo/inst/doc/genalg.R
GenAlgo/inst/doc/genalg.Rnw
GenAlgo/inst/doc/genalg.pdf
GenAlgo/man
GenAlgo/man/gaTourResults.Rd
GenAlgo/man/genalg-class.Rd
GenAlgo/man/genalg-tools.Rd
GenAlgo/man/genalg.Rd
GenAlgo/man/maha.Rd
GenAlgo/man/tourData09.Rd
GenAlgo/vignettes
GenAlgo/vignettes/genalg.Rnw