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: 0.4.0
Depends: R (≥ 3.1.0)
Imports: backports, checkmate, data.table, mlr3 (≥ 0.1.8), mlr3misc, paradox, R6
Suggests: care, caret, FSelectorRcpp, lgr, mlr3learners, mlr3measures, praznik, rpart, testthat (≥ 3.0.0)
Published: 2020-11-10
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 gmail.com>
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

Downloads:

Reference manual: mlr3filters.pdf
Package source: mlr3filters_0.4.0.tar.gz
Windows binaries: r-devel: mlr3filters_0.4.0.zip, r-release: mlr3filters_0.4.0.zip, r-oldrel: mlr3filters_0.4.0.zip
macOS binaries: r-release: mlr3filters_0.4.0.tgz, r-oldrel: mlr3filters_0.4.0.tgz
Old sources: mlr3filters archive

Reverse dependencies:

Reverse depends: mlr3verse
Reverse suggests: mlr3pipelines, mlr3spatiotempcv, mlr3viz

Linking:

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