depot/third_party/nixpkgs/pkgs/applications/science/math/weka/default.nix
Default email 587713944a Project import generated by Copybara.
GitOrigin-RevId: 6143fc5eeb9c4f00163267708e26191d1e918932
2024-04-21 17:54:59 +02:00

33 lines
1 KiB
Nix

{ lib, stdenv, fetchurl, jre, unzip, makeWrapper }:
stdenv.mkDerivation rec {
pname = "weka";
version = "3.9.6";
src = fetchurl {
url = "mirror://sourceforge/weka/${lib.replaceStrings ["."]["-"] "${pname}-${version}"}.zip";
sha256 = "sha256-8fVN4MXYqXNEmyVtXh1IrauHTBZWgWG8AvsGI5Y9Aj0=";
};
nativeBuildInputs = [ makeWrapper unzip ];
# The -Xmx1000M comes suggested from their download page:
# https://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 = with lib; {
homepage = "https://www.cs.waikato.ac.nz/ml/weka/";
description = "Collection of machine learning algorithms for data mining tasks";
mainProgram = "weka";
sourceProvenance = with sourceTypes; [ binaryBytecode ];
license = licenses.gpl2Plus;
maintainers = [ maintainers.mimame ];
platforms = platforms.unix;
};
}