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nixpkgs/pkgs/development/python-modules/imbalanced-learn/0.4.nix

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{ stdenv, buildPythonPackage, fetchPypi, scikitlearn, pandas, nose, pytest }:
buildPythonPackage rec {
pname = "imbalanced-learn";
version = "0.5.0";
src = fetchPypi {
inherit pname version;
sha256 = "5df760537886678ef9e25f5bad96d194c5fc66f62de84488069acf5d4b0119d5";
};
propagatedBuildInputs = [ scikitlearn ];
checkInputs = [ nose pytest pandas ];
checkPhase = ''
export HOME=$PWD
# skip some tests that fail because of minimal rounding errors
# or large dependencies
py.test imblearn -k 'not classification \
and not _generator \
and not _forest \
and not wrong_memory'
'';
meta = with stdenv.lib; {
description = "Library offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance";
homepage = https://github.com/scikit-learn-contrib/imbalanced-learn;
license = licenses.mit;
};
}