2018-03-31 18:49:52 +01:00
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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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2018-11-04 10:35:02 +00:00
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version = "0.4.2";
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2018-03-31 18:49:52 +01:00
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src = fetchPypi {
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inherit pname version;
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2018-11-04 10:35:02 +00:00
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sha256 = "f830ebc2042b642648bfe48a9253b45019ab15a5d0ac0bbdd7261e304e71609d";
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2018-03-31 18:49:52 +01:00
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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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py.test imblearn --ignore=imblearn/metrics/classification.py
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py.test doc/*.rst
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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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