gnu: Add r-mlr3fselect.
* gnu/packages/cran.scm (r-mlr3fselect): New variable. Change-Id: I28ced76c34d99c864c09cbf7b92658fb7676b22cmaster
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@ -37986,6 +37986,36 @@ standalone filter methods built-in methods of any machine-learning algorithm are
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supported. Partial scoring of multivariate filter methods is supported.")
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supported. Partial scoring of multivariate filter methods is supported.")
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(license license:lgpl3)))
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(license license:lgpl3)))
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(define-public r-mlr3fselect
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(package
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(name "r-mlr3fselect")
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(version "0.12.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "mlr3fselect" version))
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(sha256
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(base32 "1f18y4ahnjzlwk9pfs87i80kb6z84hgyc5cdlj3mafawq790hg1h"))))
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(properties `((upstream-name . "mlr3fselect")))
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(build-system r-build-system)
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(propagated-inputs (list r-bbotk
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r-checkmate
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r-data-table
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r-lgr
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r-mlr3
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r-mlr3misc
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r-paradox
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r-r6))
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(home-page "https://mlr3fselect.mlr-org.com")
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(synopsis "Feature selection for mlr3")
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(description
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"This package is a feature selection package of the mlr3 ecosystem. It
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selects the optimal feature set for any mlr3 learner. The package works with
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several optimization algorithms e.g. random search, Recursive feature elimination,
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and genetic search. Moreover, it can automatically optimize learners and estimate
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the performance of optimized feature sets with nested resampling.")
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(license license:lgpl3)))
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(define-public r-mlr3measures
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(define-public r-mlr3measures
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(package
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(package
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(name "r-mlr3measures")
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(name "r-mlr3measures")
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