2019-07-30 01:59:52 +02:00
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{ stdenv, buildPythonPackage, fetchPypi, scikitlearn, pandas, nose, pytest }:
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buildPythonPackage rec {
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pname = "imbalanced-learn";
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2019-11-28 01:49:36 +01:00
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version = "0.4.3";
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2019-07-30 01:59:52 +02:00
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src = fetchPypi {
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inherit pname version;
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2019-11-28 01:49:36 +01:00
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sha256 = "5bd9e86e40ce4001a57426541d7c79b18143cbd181e3330c1a3e5c5c43287083";
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2019-07-30 01:59:52 +02:00
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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=$PWD
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# skip some tests that fail because of minimal rounding errors
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# or large dependencies
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py.test imblearn -k 'not classification \
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and not _generator \
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and not _forest \
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and not wrong_memory'
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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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