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| -rw-r--r-- | gnu/packages/cran.scm | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index e660721b05..8d365ecbb8 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -37986,6 +37986,36 @@ standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.") (license license:lgpl3))) +(define-public r-mlr3fselect + (package + (name "r-mlr3fselect") + (version "0.12.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "mlr3fselect" version)) + (sha256 + (base32 "1f18y4ahnjzlwk9pfs87i80kb6z84hgyc5cdlj3mafawq790hg1h")))) + (properties `((upstream-name . "mlr3fselect"))) + (build-system r-build-system) + (propagated-inputs (list r-bbotk + r-checkmate + r-data-table + r-lgr + r-mlr3 + r-mlr3misc + r-paradox + r-r6)) + (home-page "https://mlr3fselect.mlr-org.com") + (synopsis "Feature selection for mlr3") + (description + "This package is a 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.") + (license license:lgpl3))) + (define-public r-mlr3measures (package (name "r-mlr3measures") |