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: |
0.8.1 |
| 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: |
2024-11-08 |
| DOI: |
10.32614/CRAN.package.mlr3filters |
| Author: |
Marc Becker  [cre,
aut],
Patrick Schratz
[aut],
Michel Lang [aut],
Bernd Bischl
[aut],
Martin Binder [aut],
John Zobolas
[aut] |
| Maintainer: |
Marc Becker <marcbecker at posteo.de> |
| 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 |