mosmafs: Multi-Objective Simultaneous Model and Feature Selection

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: 0.1.1
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: 2020-02-19
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

Downloads:

Reference manual: mosmafs.pdf
Vignettes: Introduction to MOSMaFS
Multi-Fidelity MOSMaFS
Package source: mosmafs_0.1.1.tar.gz
Windows binaries: r-devel: mosmafs_0.1.0.zip, r-devel-gcc8: mosmafs_0.1.1.zip, r-release: mosmafs_0.1.1.zip, r-oldrel: mosmafs_0.1.1.zip
OS X binaries: r-release: mosmafs_0.1.1.tgz, r-oldrel: mosmafs_0.1.1.tgz
Old sources: mosmafs archive

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