Package: r-cran-xgboost
Version: 3.2.1.1+dfsg-1
Architecture: amd64
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 9226
Depends: r-api-4.0, r-cran-matrix (>= 1.1-0), r-cran-data.table (>= 1.9.6), r-cran-jsonlite (>= 1.0), libc6 (>= 2.43), libgcc-s1 (>= 3.4), libgomp1 (>= 6), libstdc++6 (>= 14)
Recommends: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-diagrammer (>= 0.9.0), r-cran-rsvg, r-cran-htmlwidgets, r-cran-vcd, r-cran-testthat, r-cran-igraph, r-cran-rhpcblasctl, r-cran-survival
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=xgboost
Description: Extreme Gradient Boosting
 Extreme Gradient Boosting, which is an efficient implementation
 of the gradient boosting framework from Chen & Guestrin (2016)
 <doi:10.1145/2939672.2939785>. This package is its R interface. The package
 includes efficient linear model solver and tree learning algorithms. The
 package can automatically do parallel computation on a single machine which
 could be more than 10 times faster than existing gradient boosting packages.
 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.
