mlr3filters: Filter Based Feature Selection for 'mlr3'

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: 0.2.0
Depends: R (≥ 3.1.0)
Imports: backports, checkmate, data.table, mlr3 (≥ 0.1.2), mlr3misc, paradox, R6
Suggests: care, caret, FSelectorRcpp, lgr, mlr3learners, mlr3measures, praznik, rpart, testthat
Published: 2020-03-12
Author: Patrick Schratz ORCID iD [aut, cre], Michel Lang ORCID iD [aut], Bernd Bischl ORCID iD [aut], Martin Binder [aut]
Maintainer: Patrick Schratz <patrick.schratz at>
License: LGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3filters results


Reference manual: mlr3filters.pdf
Package source: mlr3filters_0.2.0.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: mlr3filters_0.2.0.tgz, r-release: mlr3filters_0.2.0.tgz, r-oldrel: mlr3filters_0.2.0.tgz
Old sources: mlr3filters archive

Reverse dependencies:

Reverse depends: mlr3verse
Reverse suggests: mlr3pipelines, mlr3viz


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