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.

AuthorKevin R. Coombes
Date of publication2016-05-09 21:26:32
MaintainerKevin R. Coombes <krc@silicovore.com>
LicenseApache License (== 2.0)
Version2.1.2
http://oompa.r-forge.r-project.org/

View on R-Forge

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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