depot/third_party/nixpkgs/pkgs/applications/science/math/weka/default.nix
Default email 8ac5e011d6 Project import generated by Copybara.
GitOrigin-RevId: 2c3273caa153ee8eb5786bc8141b85b859e7efd7
2020-04-24 19:36:52 -04:00

31 lines
961 B
Nix

{ stdenv, fetchurl, jre, unzip, makeWrapper }:
stdenv.mkDerivation rec {
pname = "weka";
version = "3.9.2";
src = fetchurl {
url = "mirror://sourceforge/weka/${stdenv.lib.replaceChars ["."]["-"] "${pname}-${version}"}.zip";
sha256 = "0zwmhspmqb0a7cm6k6i0s6q3w19ws1g9dx3cp2v3g3vsif6cdh31";
};
buildInputs = [ unzip makeWrapper ];
# The -Xmx1000M comes suggested from their download page:
# http://www.cs.waikato.ac.nz/ml/weka/downloading.html
installPhase = ''
mkdir -pv $out/share/weka
cp -Rv * $out/share/weka
makeWrapper ${jre}/bin/java $out/bin/weka \
--add-flags "-Xmx1000M -jar $out/share/weka/weka.jar"
'';
meta = {
homepage = "http://www.cs.waikato.ac.nz/ml/weka/";
description = "Collection of machine learning algorithms for data mining tasks";
license = stdenv.lib.licenses.gpl2Plus;
maintainers = [ stdenv.lib.maintainers.mimame ];
platforms = stdenv.lib.platforms.unix;
};
}