# This file created by conda-build 3.20.5
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Tue Dec  8 10:53:13 2020
# ------------------------------------------------

package:
    name: r-lightgbm
    version: 3.1.1
source:
    sha256: a5949f9340c7160f7f5164923fbcd786e9658a8c4596b0508150e999a4819adf
    url:
        - https://cran.r-project.org/src/contrib/Archive/lightgbm/lightgbm_3.1.1.tar.gz
        - https://cran.r-project.org/src/contrib/lightgbm_3.1.1.tar.gz
build:
    merge_build_host: true
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r36ha856d6a_0
requirements:
    build:
        - m2-autoconf 2.69 4
        - m2-automake-wrapper 10 2
        - m2-automake1.10 1.10.3 4
        - m2-automake1.11 1.11.6 4
        - m2-automake1.12 1.12.6 4
        - m2-automake1.13 1.13.4 5
        - m2-automake1.14 1.14.1 4
        - m2-automake1.15 1.15 3
        - m2-automake1.6 1.6.3 3
        - m2-automake1.7 1.7.9 3
        - m2-automake1.8 1.8.5 4
        - m2-automake1.9 1.9.6 3
        - m2-bash 4.3.042 5
        - m2-coreutils 8.25 102
        - m2-db 5.3.28 3
        - m2-diffutils 3.3 4
        - m2-filesystem 2016.04 4
        - m2-gawk 4.1.3 2
        - m2-gcc-libs 5.3.0 4
        - m2-gdbm 1.11 4
        - m2-gettext 0.19.7 4
        - m2-glib2 2.48.0 2
        - m2-gmp 6.1.0 3
        - m2-grep 2.22 4
        - m2-libasprintf 0.19.7 4
        - m2-libbz2 1.0.6 3
        - m2-libcrypt 1.3 2
        - m2-libdb 5.3.28 3
        - m2-libffi 3.2.1 2
        - m2-libgcrypt 1.6.4 2
        - m2-libgdbm 1.11 4
        - m2-libgettextpo 0.19.7 4
        - m2-libgpg-error 1.21 2
        - m2-libiconv 1.14 3
        - m2-libintl 0.19.7 4
        - m2-liblzma 5.2.2 2
        - m2-libpcre 8.38 2
        - m2-libreadline 6.3.008 8
        - m2-libxml2 2.9.2 3
        - m2-libxslt 1.1.28 8
        - m2-m4 1.4.17 5
        - m2-make 4.1 5
        - m2-mpfr 3.1.4 2
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2-ncurses 6.0.20160220 2
        - m2-perl 5.22.1 2
        - m2-pkg-config 0.29.1 2
        - m2-sed 4.2.2 3
        - m2-zip 3.0 2
        - m2-zlib 1.2.8 4
        - m2w64-binutils 2.25.1 5
        - m2w64-bzip2 1.0.6 6
        - m2w64-crt-git 5.0.0.4636.2595836 2
        - m2w64-gcc 5.3.0 6
        - m2w64-gcc-ada 5.3.0 6
        - m2w64-gcc-fortran 5.3.0 6
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-gcc-objc 5.3.0 6
        - m2w64-gmp 6.1.0 2
        - m2w64-headers-git 5.0.0.4636.c0ad18a 2
        - m2w64-isl 0.16.1 2
        - m2w64-libiconv 1.14 6
        - m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-make 4.1.2351.a80a8b8 2
        - m2w64-mpc 1.0.3 3
        - m2w64-mpfr 3.1.4 4
        - m2w64-pkg-config 0.29.1 2
        - m2w64-toolchain 5.3.0 7
        - m2w64-toolchain_win-64 2.4.0 0
        - m2w64-tools-git 5.0.0.4592.90b8472 2
        - m2w64-windows-default-manifest 6.4 3
        - m2w64-winpthreads-git 5.0.0.4634.697f757 2
        - m2w64-zlib 1.2.8 10
        - msys2-conda-epoch 20160418 1
    host:
        - _r-mutex 1.0.1 anacondar_1
        - intel-openmp 2020.3 h57928b3_311
        - libblas 3.8.0 21_mkl
        - liblapack 3.8.0 21_mkl
        - m2w64-bwidget 1.9.10 2
        - m2w64-bzip2 1.0.6 6
        - m2w64-expat 2.1.1 2
        - m2w64-fftw 3.3.4 6
        - m2w64-flac 1.3.1 3
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-gettext 0.19.7 2
        - m2w64-gmp 6.1.0 2
        - m2w64-gsl 2.1 2
        - m2w64-libiconv 1.14 6
        - m2w64-libjpeg-turbo 1.4.2 3
        - m2w64-libogg 1.3.2 3
        - m2w64-libpng 1.6.21 2
        - m2w64-libsndfile 1.0.26 2
        - m2w64-libtiff 4.0.6 2
        - m2w64-libvorbis 1.3.5 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-libxml2 2.9.3 4
        - m2w64-mpfr 3.1.4 4
        - m2w64-pcre 8.38 2
        - m2w64-speex 1.2rc2 3
        - m2w64-speexdsp 1.2rc3 3
        - m2w64-tcl 8.6.5 3
        - m2w64-tk 8.6.5 3
        - m2w64-tktable 2.10 5
        - m2w64-wineditline 2.101 5
        - m2w64-xz 5.2.2 2
        - m2w64-zlib 1.2.8 10
        - mkl 2020.4 hb70f87d_311
        - msys2-conda-epoch 20160418 1
        - r-base 3.6.3 hc562dc2_4
        - r-data.table 1.13.2 r36h02096d4_0
        - r-jsonlite 1.7.1 r36hda5aaf8_0
        - r-lattice 0.20_41 r36hda5aaf8_2
        - r-matrix 1.2_18 r36h0adb578_3
        - r-r6 2.5.0 r36hc72bb7e_0
    run:
        - m2w64-gcc-libs
        - r-base >=3.6,<3.7.0a0
        - r-data.table >=1.9.6
        - r-jsonlite >=1.0
        - r-matrix >=1.1_0
        - r-r6 >=2.0
test:
    commands:
        - '"%R%" -e "library(''lightgbm'')"'
about:
    home: https://github.com/Microsoft/LightGBM
    license: MIT
    license_family: MIT
    license_file:
        - D:\bld\r-lightgbm_1607425098514\_h_env/lib/R/share/licenses/MIT
        - LICENSE
    summary: 'Tree based algorithms can be improved by introducing boosting frameworks.
        ''LightGBM'' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>.
        This package offers an R interface to work with it. It is designed to be distributed
        and efficient with the following advantages: 1. Faster training speed and
        higher efficiency. 2. Lower memory usage. 3. Better accuracy. 4. Parallel
        learning supported. 5. Capable of handling large-scale data. In recognition
        of these advantages, ''LightGBM'' has been widely-used in many winning solutions
        of machine learning competitions. Comparison experiments on public datasets
        suggest that ''LightGBM'' can outperform existing boosting frameworks on both
        efficiency and accuracy, with significantly lower memory consumption. In addition,
        parallel experiments suggest that in certain circumstances, ''LightGBM'' can
        achieve a linear speed-up in training time by using multiple machines.'
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
        - xhochy
