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| -rw-r--r-- | gnu/packages/cran.scm | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index a64e255787..1d49e4971a 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -22631,3 +22631,35 @@ quantile regression, implemented using Barzilai-Borwein gradient descent with a Huber regression warm start. Confidence intervals for regression coefficients are constructed using multiplier bootstrap.") (license license:gpl3))) + +(define-public r-fastshap + (package + (name "r-fastshap") + (version "0.0.5") + (source + (origin + (method url-fetch) + (uri (cran-uri "fastshap" version)) + (sha256 + (base32 + "08f25ib5mry6h8lvj0g3clc9kfl5g2wdd8x8bw455wwmbcm6x5vg")))) + (properties `((upstream-name . "fastshap"))) + (build-system r-build-system) + (propagated-inputs + `(("r-abind" ,r-abind) + ("r-ggplot2" ,r-ggplot2) + ("r-gridextra" ,r-gridextra) + ("r-matrixstats" ,r-matrixstats) + ("r-plyr" ,r-plyr) + ("r-rcpp" ,r-rcpp) + ("r-rcpparmadillo" ,r-rcpparmadillo) + ("r-tibble" ,r-tibble))) + (home-page "https://github.com/bgreenwell/fastshap") + (synopsis "Fast approximate Shapley values") + (description + "This package computes fast (relative to other implementations) +approximate Shapley values for any supervised learning model. Shapley values +help to explain the predictions from any black box model using ideas from game +theory; see @url{Strumbel and Kononenko (2014), +doi.org/10.1007/s10115-013-0679-x} for details.") + (license license:gpl2+))) |