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: 0.1.1
Depends: R (≥ 3.1.0)
Imports: backports, checkmate, data.table, mlr3 (≥ 0.1.2), mlr3misc, paradox, R6
Suggests: care, FSelectorRcpp, lgr, mlr3learners, mlr3measures, praznik, rpart, testthat
Published: 2019-12-08
Author: Patrick Schratz ORCID iD [aut, cre], Michel Lang ORCID iD [aut], Bernd Bischl ORCID iD [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_0.1.1.tar.gz
Windows binaries: r-devel: mlr3filters_0.1.0.zip, r-devel-gcc8: mlr3filters_0.1.0.zip, r-release: mlr3filters_0.1.0.zip, r-oldrel: mlr3filters_0.1.0.zip
OS X binaries: r-release: mlr3filters_0.1.0.tgz, r-oldrel: mlr3filters_0.1.0.tgz
Old sources: mlr3filters archive

Reverse dependencies:

Reverse suggests: mlr3pipelines

Linking:

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