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 |
DOI: |
10.32614/CRAN.package.mlr3filters |
Author: |
Patrick Schratz
[aut],
Michel Lang [cre,
aut],
Bernd Bischl
[aut],
Martin Binder [aut],
John Zobolas
[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 |