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: 2025-07-31 DOI: 10.32614/CRAN.package.mlr3fselect Author: Marc Becker [aut, cre], Patrick Schratz [aut], Michel Lang [aut], Bernd Bischl [aut], John Zobolas [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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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