mlr3fselect: Feature Selection for 'mlr3'

Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.

Version: 1.0.0
Depends: mlr3 (≥ 0.12.0), R (≥ 3.1.0)
Imports: bbotk (≥ 1.0.0), checkmate (≥ 2.0.0), data.table, lgr, mlr3misc (≥ 0.15.1), paradox (≥ 1.0.0), R6, stabm
Suggests: e1071, genalg, mlr3learners, mlr3pipelines, rpart, testthat (≥ 3.0.0)
Published: 2024-06-29
DOI: 10.32614/CRAN.package.mlr3fselect
Author: Marc Becker ORCID iD [aut, cre], Patrick Schratz ORCID iD [aut], Michel Lang ORCID iD [aut], Bernd Bischl ORCID iD [aut], John Zobolas ORCID iD [aut]
Maintainer: Marc Becker <marcbecker at>
License: LGPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: mlr3fselect results


Reference manual: mlr3fselect.pdf


Package source: mlr3fselect_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlr3fselect_1.0.0.tgz, r-oldrel (arm64): mlr3fselect_0.12.0.tgz, r-release (x86_64): mlr3fselect_1.0.0.tgz, r-oldrel (x86_64): mlr3fselect_0.12.0.tgz
Old sources: mlr3fselect archive

Reverse dependencies:

Reverse imports: mlr3verse
Reverse suggests: mlr3viz


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