@@ -35253,6 +35253,40 @@ (define-public r-mlr
nested resampling. 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
+ "Flexible and comprehensive R toolbox for model-based optimization.
+It implements Efficient Global Optimization Algorithm for single- and
+multi-objective optimization. Supports mixed parameters. The machine
+learning toolbox mlr offers regression learners. Provides various
+infill criteria. Features batch proposal, parallel execution,
+visualization, logging. Modular implementation allows easy customization
+by the user.")
+ (license license:bsd-2)))
+
(define-public r-mlr3measures
(package
(name "r-mlr3measures")