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

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{ lib, buildPythonPackage, fetchPypi, scikit-learn, pandas, nose, pytest }:
buildPythonPackage rec {
pname = "imbalanced-learn";
version = "0.4.3";
src = fetchPypi {
inherit pname version;
sha256 = "5bd9e86e40ce4001a57426541d7c79b18143cbd181e3330c1a3e5c5c43287083";
};
propagatedBuildInputs = [ scikit-learn ];
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 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;
};
}