Source: r-cran-recipes
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 (= 13),
 dh-r,
 r-base-dev,
 r-cran-dplyr (>= 1.1.0),
 r-cran-cli,
 r-cran-clock,
 r-cran-generics,
 r-cran-glue,
 r-cran-gower,
 r-cran-hardhat (>= 1.4.1),
 r-cran-ipred,
 r-cran-lifecycle,
 r-cran-lubridate,
 r-cran-magrittr,
 r-cran-matrix,
 r-cran-purrr,
 r-cran-rlang (>= 1.1.0),
 r-cran-sparsevctrs (>= 0.3.3),
 r-cran-tibble,
 r-cran-tidyr,
 r-cran-tidyselect,
 r-cran-timedate,
 r-cran-vctrs,
 r-cran-withr,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-recipes
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-recipes.git
Homepage: https://cran.r-project.org/package=recipes
Rules-Requires-Root: no

Package: r-cran-recipes
Architecture: all
Depends:
 ${R:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Preprocessing and Feature Engineering Steps for Modeling
 A recipe prepares your data for modeling. We provide an extensible framework
 for pipeable sequences of feature engineering steps provides preprocessing
 tools to be applied to data. Statistical parameters for the steps can
 be estimated from an initial data set and then applied to other data sets.
 The resulting processed output can then be used as inputs for statistical
 or machine learning models.