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: 0.8.1 Depends: R (≥ 3.1.0) Imports: backports, checkmate, data.table, mlr3 (≥ 0.12.0), mlr3misc, paradox, R6 Suggests: Boruta, care, caret, carSurv, FSelectorRcpp, knitr, lgr, mlr3learners, mlr3measures, mlr3pipelines, praznik, rpart, survival, testthat (≥ 3.0.0), withr Published: 2024-11-08 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mlr3filters to link to this page.
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