gnu: Add r-iml.
* gnu/packages/cran.scm (r-iml): New variable. Co-authored-by: Ricardo Wurmus <rekado@elephly.net> Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
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@ -22686,3 +22686,49 @@ (define-public r-metrics
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information retrieval problems. It has zero dependencies and a consistent,
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simple interface for all functions.")
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(license license:bsd-3)))
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(define-public r-iml
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(package
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(name "r-iml")
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(version "0.10.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "iml" version))
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(sha256
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(base32
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"0xm3q42qahq798ilgg050df0mahhbdfd3fx3i7cpx606h38si0x7"))))
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(properties `((upstream-name . "iml")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-checkmate" ,r-checkmate)
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("r-data-table" ,r-data-table)
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("r-formula" ,r-formula)
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("r-future" ,r-future)
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("r-future-apply" ,r-future-apply)
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("r-ggplot2" ,r-ggplot2)
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("r-gridextra" ,r-gridextra)
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("r-metrics" ,r-metrics)
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("r-prediction" ,r-prediction)
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("r-r6" ,r-r6)))
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(native-inputs `(("r-knitr" ,r-knitr)))
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(home-page "https://github.com/christophM/iml")
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(synopsis "Interpretable machine learning")
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(description
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"This package provides interpretability methods to analyze the behavior
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and predictions of any machine learning model. Implemented methods are:
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@itemize
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@item Feature importance described by Fisher et al. (2018),
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@item accumulated local effects plots described by Apley (2018),
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@item partial dependence plots described by Friedman (2001),
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@item individual conditional expectation ('ice') plots described by Goldstein
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et al. (2013) @url{https://doi.org/10.1080/10618600.2014.907095},
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@item local models (variant of 'lime') described by Ribeiro et. al (2016),
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@item the Shapley Value described by Strumbelj et. al (2014)
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@url{https://doi.org/10.1007/s10115-013-0679-x},
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@item feature interactions described by Friedman et. al
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@url{https://doi.org/10.1214/07-AOAS148} and tree surrogate models.
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@end itemize
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")
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(license license:expat)))
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