Feature Selection for 'mlr3' [R package mlr3fselect version 1.4.0]

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: 1.4.0

Depends: mlr3 (≥ 1.0.1), R (≥ 3.1.0)

Imports: bbotk (≥ 1.6.0), checkmate (≥ 2.0.0), cli, data.table, lgr, mlr3misc (≥ 0.15.1), paradox (≥ 1.0.0), R6, stabm

Suggests: e1071, fastVoteR, genalg, mirai, mlr3learners, mlr3pipelines, rpart, rush, rush (≥ 0.2.0), testthat (≥ 3.0.0)

Published: 2025年07月31日

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 posteo.de>

BugReports: https://github.com/mlr-org/mlr3fselect/issues

License: LGPL-3

URL: https://mlr3fselect.mlr-org.com, https://github.com/mlr-org/mlr3fselect

NeedsCompilation: no

Language: en-US

Materials: README, NEWS

CRAN checks: mlr3fselect results