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| -rw-r--r-- | gnu/packages/cran.scm | 30 |
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))) |