79 lines
1.5 KiB
Nix

{
lib,
buildPythonPackage,
fetchFromGitHub,
pythonOlder,
setuptools,
setuptools-scm,
joblib,
keras,
numpy,
pandas,
scikit-learn,
scipy,
tensorflow,
threadpoolctl,
pytestCheckHook,
}:
buildPythonPackage rec {
pname = "imbalanced-learn";
version = "0.13.0";
pyproject = true;
disabled = pythonOlder "3.8";
src = fetchFromGitHub {
owner = "scikit-learn-contrib";
repo = "imbalanced-learn";
tag = version;
hash = "sha256-osmALi5vTV+3kgldY/VhYkNvpXX11KwJ/dIX/5E7Uhc=";
};
build-system = [
setuptools
setuptools-scm
];
dependencies = [
joblib
numpy
scikit-learn
scipy
threadpoolctl
];
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 ];
};
}