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114 lines
2.7 KiB
114 lines
2.7 KiB
{ stdenv
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, lib
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, buildPythonPackage
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, fetchPypi
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, fetchpatch
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, gfortran
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, glibcLocales
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, numpy
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, scipy
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, pytestCheckHook
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, pytest-xdist
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, pillow
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, cython
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, joblib
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, llvmPackages
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, threadpoolctl
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, pythonOlder
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}:
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buildPythonPackage rec {
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pname = "scikit-learn";
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version = "0.24.1";
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disabled = pythonOlder "3.6";
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src = fetchPypi {
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inherit pname version;
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sha256 = "oDNKGALmTWVgIsO/q1anP71r9LEpg0PzaIryFRgQu98=";
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};
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patches = [
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# This patch fixes compatibility with numpy 1.20. It was merged before 0.24.1 was released,
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# but for some reason was not included in the 0.24.1 release tarball.
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(fetchpatch {
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url = "https://github.com/scikit-learn/scikit-learn/commit/e7ef22c3ba2334cb3b476e95d7c083cf6b48ce56.patch";
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sha256 = "174554k1pbf92bj7wgq0xjj16bkib32ailyhwavdxaknh4bd9nmv";
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})
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];
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buildInputs = [
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pillow
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gfortran
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glibcLocales
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] ++ lib.optionals stdenv.cc.isClang [
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llvmPackages.openmp
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];
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nativeBuildInputs = [
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cython
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];
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propagatedBuildInputs = [
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numpy
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scipy
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numpy.blas
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joblib
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threadpoolctl
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];
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checkInputs = [ pytestCheckHook pytest-xdist ];
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LC_ALL="en_US.UTF-8";
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preBuild = ''
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export SKLEARN_BUILD_PARALLEL=$NIX_BUILD_CORES
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'';
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doCheck = !stdenv.isAarch64;
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disabledTests = [
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# Skip test_feature_importance_regression - does web fetch
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"test_feature_importance_regression"
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# failing on macos
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"check_regressors_train"
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"check_classifiers_train"
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"xfail_ignored_in_check_estimator"
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];
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pytestFlagsArray = [
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# verbose build outputs needed to debug hard-to-reproduce hydra failures
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"-v"
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"--pyargs" "sklearn"
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# NuSVC memmap tests causes segmentation faults in certain environments
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# (e.g. Hydra Darwin machines) related to a long-standing joblib issue
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# (https://github.com/joblib/joblib/issues/563). See also:
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# https://github.com/scikit-learn/scikit-learn/issues/17582
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# Since we are overriding '-k' we need to include the 'disabledTests' from above manually.
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"-k" "'not (NuSVC and memmap) ${toString (lib.forEach disabledTests (t: "and not ${t}"))}'"
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"-n" "$NIX_BUILD_CORES"
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];
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preCheck = ''
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cd $TMPDIR
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export HOME=$TMPDIR
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export OMP_NUM_THREADS=1
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'';
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pythonImportsCheck = [ "sklearn" ];
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meta = with lib; {
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description = "A set of python modules for machine learning and data mining";
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changelog = let
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major = versions.major version;
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minor = versions.minor version;
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dashVer = replaceChars ["."] ["-"] version;
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in
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"https://scikit-learn.org/stable/whats_new/v${major}.${minor}.html#version-${dashVer}";
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homepage = "https://scikit-learn.org";
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license = licenses.bsd3;
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maintainers = with maintainers; [ davhau ];
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};
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}
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