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 
[aut, cre],
Michel Lang [aut],
Bernd Bischl
[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 |