mlr3fselect: Feature Selection for 'mlr3'

Implements methods for feature selection with 'mlr3', e.g. random search and sequential selection. Various termination criteria can be set and combined. The class 'AutoFSelector' provides a convenient way to perform nested resampling in combination with 'mlr3'.

Version: 0.5.0
Depends: R (≥ 3.1.0)
Imports: bbotk (≥ 0.3.0), checkmate (≥ 2.0.0), data.table, lgr, mlr3 (≥ 0.7.0), mlr3misc (≥ 0.7.0), mlr3pipelines (≥ 0.3.0), paradox (≥ 0.7.0), R6
Suggests: genalg, rpart, testthat (≥ 3.0.0)
Published: 2021-01-24
Author: Marc Becker ORCID iD [aut, cre], Patrick Schratz ORCID iD [aut], Michel Lang ORCID iD [aut], Bernd Bischl ORCID iD [aut]
Maintainer: Marc Becker <marcbecker at posteo.de>
BugReports: https://github.com/mlr-org/mlr3fselect/issues
License: LGPL-3
URL: https://mlr3fselect.mlr-org.com, https://github.com/mlr-org/mlr3fselect
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3fselect results

Downloads:

Reference manual: mlr3fselect.pdf
Package source: mlr3fselect_0.5.0.tar.gz
Windows binaries: r-devel: mlr3fselect_0.4.1.zip, r-release: mlr3fselect_0.4.1.zip, r-oldrel: mlr3fselect_0.5.0.zip
macOS binaries: r-release: mlr3fselect_0.4.1.tgz, r-oldrel: mlr3fselect_0.5.0.tgz
Old sources: mlr3fselect archive

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