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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: 0.8.0
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: 2024-04-10
Author: Patrick Schratz ORCID iD [aut], Michel Lang ORCID iD [cre, aut], Bernd Bischl ORCID iD [aut], Martin Binder [aut], John Zobolas ORCID iD [aut]
Maintainer: Michel Lang <michellang 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

Documentation:

Reference manual: mlr3filters.pdf

Downloads:

Package source: mlr3filters_0.8.0.tar.gz
Windows binaries: r-devel: mlr3filters_0.8.0.zip, r-release: mlr3filters_0.8.0.zip, r-oldrel: mlr3filters_0.8.0.zip
macOS binaries: r-release (arm64): mlr3filters_0.8.0.tgz, r-oldrel (arm64): mlr3filters_0.8.0.tgz, r-release (x86_64): mlr3filters_0.8.0.tgz, r-oldrel (x86_64): mlr3filters_0.8.0.tgz
Old sources: mlr3filters archive

Reverse dependencies:

Reverse imports: mlr3verse, sense
Reverse suggests: mlr3pipelines, mlr3spatiotempcv, mlr3viz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlr3filters to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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