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mlr3fselect: Feature Selection for 'mlr3'
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: |
0.12.0 |
| Depends: |
mlr3 (≥ 0.12.0), R (≥ 3.1.0) |
| Imports: |
bbotk (≥ 0.7.2), checkmate (≥ 2.0.0), data.table, lgr, mlr3misc (≥ 0.9.4), paradox (≥ 0.7.0), R6 |
| Suggests: |
e1071, genalg, mlr3learners, mlr3pipelines, rpart, testthat (≥ 3.0.0) |
| Published: |
2024-03-09 |
| Author: |
Marc Becker  [aut,
cre],
Patrick Schratz
[aut],
Michel Lang [aut],
Bernd Bischl
[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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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https://CRAN.R-project.org/package=mlr3fselect
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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