Feature selection package of the 'mlr3' ecosystem. It selects
the optimal feature set for any 'mlr3' learner. The package works with
several optimization algorithms e.g. Random Search, Recursive Feature
Elimination, and Genetic Search. Moreover, it can automatically
optimize learners and estimate the performance of optimized feature
sets with nested resampling.
| Version: |
1.2.0 |
| Depends: |
mlr3 (≥ 0.21.1), R (≥ 3.1.0) |
| Imports: |
bbotk (≥ 1.2.0), checkmate (≥ 2.0.0), data.table, lgr, mlr3misc (≥ 0.15.1), paradox (≥ 1.0.0), R6, stabm |
| Suggests: |
e1071, genalg, mlr3learners, mlr3pipelines, rpart, testthat (≥ 3.0.0) |
| Published: |
2024-10-25 |
| DOI: |
10.32614/CRAN.package.mlr3fselect |
| Author: |
Marc Becker  [aut,
cre],
Patrick Schratz
[aut],
Michel Lang [aut],
Bernd Bischl
[aut],
John Zobolas
[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 |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
mlr3fselect results |