Performs simultaneous hyperparameter tuning and feature selection through both single-objective and multi-objective optimization as described in Binder, Moosbauer et al. (2019) <arXiv:1912.12912>. Uses the 'ecr'-package as basis but adds mixed integer evolutionary strategies and multi-fidelity functionality as well as operators specific for the problem of feature selection.
Version: | 0.1.2 |
Depends: | ecr (≥ 2.1.0) |
Imports: | BBmisc, checkmate (≥ 1.9.0), ParamHelpers, MASS, smoof, mlrCPO (≥ 0.3.4), mlr, parallelMap |
Suggests: | knitr, ggplot2, magrittr, testthat, rpart, parallel, praznik, mlrMBO, emoa, DiceKriging, rgenoud, randomForest, digest |
Published: | 2020-04-05 |
Author: | Martin Binder [aut, cre], Susanne Dandl [aut], Julia Moosbauer [aut] |
Maintainer: | Martin Binder <developer.mb706 at mb706.com> |
BugReports: | https://github.com/compstat-lmu/mosmafs/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/compstat-lmu/mosmafs |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mosmafs results |
Reference manual: | mosmafs.pdf |
Vignettes: |
Introduction to MOSMaFS Multi-Fidelity MOSMaFS |
Package source: | mosmafs_0.1.2.tar.gz |
Windows binaries: | r-devel: mosmafs_0.1.2.zip, r-release: mosmafs_0.1.2.zip, r-oldrel: mosmafs_0.1.2.zip |
macOS binaries: | r-release: mosmafs_0.1.2.tgz, r-oldrel: mosmafs_0.1.2.tgz |
Old sources: | mosmafs archive |
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