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authorPeter Lo <peterloleungyau@gmail.com>2020-06-29 13:50:35 +0800
committerRicardo Wurmus <rekado@elephly.net>2020-09-11 18:29:48 +0200
commit156c558866e28834df545f66291112341e240c92 (patch)
treeabab2ca471398d66c676a0cf857a264f59d56539 /gnu
parent3dbe8a57ec4967f1719a5a3a4cecee7c863d420d (diff)
downloadguix-156c558866e28834df545f66291112341e240c92.tar
guix-156c558866e28834df545f66291112341e240c92.tar.gz
gnu: Add r-tidypredict.
* gnu/packages/cran.scm (r-tidypredict): New variable. Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/cran.scm33
1 files changed, 33 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 3f61763f0e..90ce8525d5 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -23899,3 +23899,36 @@ the @dfn{root mean squared error} (RMSE) using 10-fold cross-validation, there
are 10 paired statistics. These can be used to make comparisons between
models without involving a test set.")
(license license:gpl2)))
+
+(define-public r-tidypredict
+ (package
+ (name "r-tidypredict")
+ (version "0.4.5")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "tidypredict" version))
+ (sha256
+ (base32
+ "1i6zl6wjz6wbpkmkc9z9ikp8zgck3qh38lar0r6q2jzl8fxpimg4"))))
+ (properties `((upstream-name . "tidypredict")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-dplyr" ,r-dplyr)
+ ("r-generics" ,r-generics)
+ ("r-knitr" ,r-knitr)
+ ("r-purrr" ,r-purrr)
+ ("r-rlang" ,r-rlang)
+ ("r-tibble" ,r-tibble)))
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
+ (home-page "https://tidypredict.tidymodels.org")
+ (synopsis "Run predictions inside the database")
+ (description
+ "This package parses a fitted R model object, and returns a formula in
+Tidy Eval code that calculates the predictions. It works with several
+database backends because it leverages @code{dplyr} and @code{dbplyr} for the
+final SQL translation of the algorithm. It currently supports @code{lm()},
+@code{glm()}, @code{randomForest()}, @code{ranger()}, @code{earth()},
+@code{xgb.Booster.complete()}, @code{cubist()}, and @code{ctree()} models.")
+ (license license:gpl3)))