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| -rw-r--r-- | gnu/packages/cran.scm | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index a4c5a9f01e..5dd199b216 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -35306,6 +35306,40 @@ Also included: Most operations can be parallelized.") (license license:bsd-2))) +(define-public r-mlrmbo + (package + (name "r-mlrmbo") + (version "1.1.5.1") + (source (origin + (method url-fetch) + (uri (cran-uri "mlrMBO" version)) + (sha256 + (base32 + "16fwj7m28g4km7yalqppxmh3lw2jln0z072l6awia38qkdg6xwhc")))) + (properties `((upstream-name . "mlrMBO"))) + (build-system r-build-system) + (propagated-inputs (list r-backports + r-bbmisc + r-checkmate + r-data-table + r-lhs + r-mlr + r-parallelmap + r-paramhelpers + r-smoof)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/mlr-org/mlrMBO") + (synopsis "Model-based optimization with mlr") + (description + "This package is a flexible and comprehensive R toolbox for model-based +optimization. It implements Efficient Global Optimization Algorithm for +single- and multi-objective optimization. It supports mixed parameters. The +machine learning toolbox mlr offers regression learners. It provides various +infill criteria and features batch proposal, parallel execution, +visualization, and logging. Its modular implementation allows easy +customization by the user.") + (license license:bsd-2))) + (define-public r-mlr3measures (package (name "r-mlr3measures") |