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Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <doi:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.
Version: | 0.9.5 |
Depends: | R (≥ 3.0), methods, foreach, iterators |
Imports: | stats, graphics, grDevices, utils |
Suggests: | parallel, doParallel, doRNG (≥ 1.6), knitr (≥ 1.8), lhs, MASS, caret, mlbench, e1071, nnet, kernlab |
Published: | 2023-04-07 |
DOI: | 10.32614/CRAN.package.GAparsimony |
Author: | F.J. Martinez-de-Pison |
Maintainer: | F.J. Martinez-de-Pison <fjmartin at unirioja.es> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/jpison/GAparsimony |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | GAparsimony results |
Reference manual: | GAparsimony.pdf |
Package source: | GAparsimony_0.9.5.tar.gz |
Windows binaries: | r-devel: GAparsimony_0.9.5.zip, r-release: GAparsimony_0.9.5.zip, r-oldrel: GAparsimony_0.9.5.zip |
macOS binaries: | r-release (arm64): GAparsimony_0.9.5.tgz, r-oldrel (arm64): GAparsimony_0.9.5.tgz, r-release (x86_64): GAparsimony_0.9.5.tgz, r-oldrel (x86_64): GAparsimony_0.9.5.tgz |
Old sources: | GAparsimony archive |
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