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nixpkgs/pkgs/development/python-modules/imbalanced-learn/default.nix
2018-12-03 16:50:38 +01:00

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{ stdenv, buildPythonPackage, fetchPypi, scikitlearn, pandas, nose, pytest }:
buildPythonPackage rec {
pname = "imbalanced-learn";
version = "0.4.3";
src = fetchPypi {
inherit pname version;
sha256 = "5bd9e86e40ce4001a57426541d7c79b18143cbd181e3330c1a3e5c5c43287083";
};
propagatedBuildInputs = [ scikitlearn ];
checkInputs = [ nose pytest pandas ];
checkPhase = ''
export HOME=$PWD
# skip some tests that fail because of minimal rounding errors
py.test imblearn --ignore=imblearn/metrics/classification.py
py.test doc/*.rst
'';
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;
};
}