Source: r-cran-mlr
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 14),
 dh-r,
 libgdal-dev,
 libgeos-dev,
 libgsl-dev,
 libproj-dev,
 r-base-dev,
 r-cran-backports,
 r-cran-bbmisc,
 r-cran-checkmate,
 r-cran-data.table,
 r-cran-ggplot2,
 r-cran-parallelmap,
 r-cran-paramhelpers,
 r-cran-stringi,
 r-cran-survival,
 r-cran-xml,
 r-pkg-team-core-architecture,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-mlr
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-mlr.git
Homepage: https://cran.r-project.org/package=mlr

Package: r-cran-mlr
Architecture: any
Depends:
 ${R:Depends},
 ${misc:Depends},
 ${shlibs:Depends},
 r-pkg-team-core-architecture,
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Machine Learning in R
 Interface to a large number of classification and regression techniques,
 including machine-readable parameter descriptions. There is also an
 experimental extension for survival analysis, clustering and general,
 example-specific cost-sensitive learning. Generic resampling, including
 cross-validation, bootstrapping and subsampling. Hyperparameter tuning
 with modern optimization techniques, for single-and multi-objective problems.
 Filter and wrapper methods for feature selection. Extension of basic learners
 with additional operations common in machine learning, also allowing for easy
 nested resampling. Most operations can be parallelized.
