depot/third_party/nixpkgs/pkgs/development/python-modules/imbalanced-learn/default.nix
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GitOrigin-RevId: 6143fc5eeb9c4f00163267708e26191d1e918932
2024-04-21 17:54:59 +02:00

73 lines
1.4 KiB
Nix

{ lib
, buildPythonPackage
, fetchPypi
, pythonOlder
, setuptools
, joblib
, keras
, numpy
, pandas
, scikit-learn
, scipy
, tensorflow
, threadpoolctl
, pytest-xdist
, pytestCheckHook
}:
buildPythonPackage rec {
pname = "imbalanced-learn";
version = "0.12.2";
pyproject = true;
disabled = pythonOlder "3.8";
src = fetchPypi {
inherit pname version;
hash = "sha256-qAxWztywcSTyZr5i06XSq1tXeZCac0P98bmTR5Zi9sE=";
};
nativeBuildInputs = [
setuptools
];
propagatedBuildInputs = [
joblib
numpy
scikit-learn
scipy
threadpoolctl
];
passthru.optional-dependencies = {
optional = [
keras
pandas
tensorflow
];
};
pythonImportsCheck = [
"imblearn"
];
nativeCheckInputs = [ pytestCheckHook pandas ];
preCheck = ''
export HOME=$TMPDIR
'';
disabledTestPaths = [
# require tensorflow and keras, but we don't want to
# add them to nativeCheckInputs just for this tests
"imblearn/keras/_generator.py"
];
meta = with lib; {
description = "Library offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance";
homepage = "https://github.com/scikit-learn-contrib/imbalanced-learn";
changelog = "https://github.com/scikit-learn-contrib/imbalanced-learn/releases/tag/${version}";
license = licenses.mit;
maintainers = [ maintainers.rmcgibbo ];
};
}