Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.
| Version: | 0.9.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | backports,checkmate,cli,data.table,mlr3 (≥ 0.12.0),mlr3misc (≥ 0.18.0),paradox,R6 |
| Suggests: | Boruta,care,caret,carSurv,FSelectorRcpp,knitr,lgr,mlr3learners,mlr3measures,mlr3pipelines,praznik,rpart,survival,testthat (≥ 3.0.0),withr |
| Published: | 2025-09-12 |
| DOI: | 10.32614/CRAN.package.mlr3filters |
| Author: | Marc Becker [cre, aut], Patrick Schratz [aut], Michel Lang [aut], Bernd Bischl [aut], Martin Binder [aut], John Zobolas [aut] |
| Maintainer: | Marc Becker <marcbecker at posteo.de> |
| BugReports: | https://github.com/mlr-org/mlr3filters/issues |
| License: | LGPL-3 |
| URL: | https://mlr3filters.mlr-org.com,https://github.com/mlr-org/mlr3filters |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | mlr3filters results |