2020-04-24 23:36:52 +00:00
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{ stdenv, buildPythonPackage, fetchPypi, isPy27
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, nose
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, pandas
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, pytest
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, scikitlearn
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, tensorflow
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}:
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buildPythonPackage rec {
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pname = "imbalanced-learn";
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2020-06-02 18:00:15 +00:00
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version = "0.6.2";
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2020-04-24 23:36:52 +00:00
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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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2020-06-02 18:00:15 +00:00
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sha256 = "942b9a7f2e1df831097fbee587c5c90a4cc6afa6105b23d3e30d8798f1a9b17d";
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2020-04-24 23:36:52 +00:00
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};
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propagatedBuildInputs = [ scikitlearn ];
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checkInputs = [ nose pytest pandas ];
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checkPhase = ''
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export HOME=$TMPDIR
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# skip some tests that fail because of minimal rounding errors
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# or very large dependencies (keras + tensorflow)
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py.test imblearn -k 'not estimator \
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and not classification \
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and not _generator \
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and not show_versions'
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'';
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meta = with stdenv.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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};
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}
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