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gnu: Add r-iml.

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* 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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Peter Lo 2020-06-28 16:01:18 +08:00 committed by Ricardo Wurmus
parent a74f854074
commit 763453e18e
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gnu/packages/cran.scm
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@ -22686,3 +22686,49 @@ (define-public r-metrics
information retrieval problems. It has zero dependencies and a consistent,
simple interface for all functions.")
(license license:bsd-3)))
(define-public r-iml
(package
(name "r-iml")
(version "0.10.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "iml" version))
(sha256
(base32
"0xm3q42qahq798ilgg050df0mahhbdfd3fx3i7cpx606h38si0x7"))))
(properties `((upstream-name . "iml")))
(build-system r-build-system)
(propagated-inputs
`(("r-checkmate" ,r-checkmate)
("r-data-table" ,r-data-table)
("r-formula" ,r-formula)
("r-future" ,r-future)
("r-future-apply" ,r-future-apply)
("r-ggplot2" ,r-ggplot2)
("r-gridextra" ,r-gridextra)
("r-metrics" ,r-metrics)
("r-prediction" ,r-prediction)
("r-r6" ,r-r6)))
(native-inputs `(("r-knitr" ,r-knitr)))
(home-page "https://github.com/christophM/iml")
(synopsis "Interpretable machine learning")
(description
"This package provides interpretability methods to analyze the behavior
and predictions of any machine learning model. Implemented methods are:
@itemize
@item Feature importance described by Fisher et al. (2018),
@item accumulated local effects plots described by Apley (2018),
@item partial dependence plots described by Friedman (2001),
@item individual conditional expectation ('ice') plots described by Goldstein
et al. (2013) @url{https://doi.org/10.1080/10618600.2014.907095},
@item local models (variant of 'lime') described by Ribeiro et. al (2016),
@item the Shapley Value described by Strumbelj et. al (2014)
@url{https://doi.org/10.1007/s10115-013-0679-x},
@item feature interactions described by Friedman et. al
@url{https://doi.org/10.1214/07-AOAS148} and tree surrogate models.
@end itemize
")
(license license:expat)))