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-rw-r--r--gnu/packages/cran.scm30
1 files changed, 30 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 16da3c2782..e55adbf2fd 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -14431,3 +14431,33 @@ into R and converted to @code{BibEntry} objects.")
BibTeX or BibLaTeX file to create and insert formatted Markdown citations into
the current document.")
(license license:expat)))
+
+(define-public r-xgboost
+ (package
+ (name "r-xgboost")
+ (version "0.82.1")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "xgboost" version))
+ (sha256
+ (base32
+ "0plhx63wcm4syslzmjfv6bdgaqn96fnav048hrj0vxk4dzgfp8sq"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-data-table" ,r-data-table)
+ ("r-magrittr" ,r-magrittr)
+ ("r-matrix" ,r-matrix)
+ ("r-stringi" ,r-stringi)))
+ (home-page "https://github.com/dmlc/xgboost")
+ (synopsis "Extreme gradient boosting")
+ (description
+ "This package provides an R interface to Extreme Gradient Boosting, which
+is an efficient implementation of the gradient boosting framework from Chen
+and Guestrin (2016). The package includes efficient linear model solver and
+tree learning algorithms. The package can automatically do parallel
+computation on a single machine. It supports various objective functions,
+including regression, classification and ranking. The package is made to be
+extensible, so that users are also allowed to define their own objectives
+easily.")
+ (license license:asl2.0)))