48 lines
1.4 KiB
Nix
48 lines
1.4 KiB
Nix
{ lib, buildPythonPackage, fetchPypi, isPy27
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, fetchpatch
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, pandas
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, pytestCheckHook
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, scikitlearn
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}:
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buildPythonPackage rec {
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pname = "imbalanced-learn";
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version = "0.7.0";
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disabled = isPy27; # scikit-learn>=0.21 doesn't work on python2
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src = fetchPypi {
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inherit pname version;
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sha256 = "da59de0d1c0fa66f62054dd9a0a295a182563aa1abbb3bf9224a3678fcfe8fa4";
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};
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patches = [
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# Fix compatibility with scikit-learn 0.24. This patch will be included in releases of
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# imbalanced-learn after 0.7.0
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(fetchpatch {
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url = "https://github.com/scikit-learn-contrib/imbalanced-learn/commit/dc4051fe0011c68d900be05971b71016d4ad9e90.patch";
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sha256 = "1rv61k9wv4q37a0v943clr8fflcg9ly530smgndgkjlxkyzw6swh";
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excludes = ["doc/conf.py" "build_tools/*" "azure-pipelines.yml"];
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})
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];
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propagatedBuildInputs = [ scikitlearn ];
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checkInputs = [ pytestCheckHook pandas ];
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preCheck = ''
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export HOME=$TMPDIR
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'';
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disabledTests = [
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"estimator"
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"classification"
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"_generator"
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"show_versions"
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"test_make_imbalanced_iris"
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"test_rusboost[SAMME.R]"
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];
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meta = with lib; {
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description = "Library offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance";
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homepage = "https://github.com/scikit-learn-contrib/imbalanced-learn";
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license = licenses.mit;
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maintainers = [ maintainers.rmcgibbo ];
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};
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}
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