587713944a
GitOrigin-RevId: 6143fc5eeb9c4f00163267708e26191d1e918932
73 lines
1.4 KiB
Nix
73 lines
1.4 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchPypi
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, pythonOlder
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, setuptools
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, joblib
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, keras
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, numpy
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, pandas
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, scikit-learn
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, scipy
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, tensorflow
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, threadpoolctl
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, pytest-xdist
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, pytestCheckHook
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}:
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buildPythonPackage rec {
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pname = "imbalanced-learn";
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version = "0.12.2";
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pyproject = true;
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disabled = pythonOlder "3.8";
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src = fetchPypi {
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inherit pname version;
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hash = "sha256-qAxWztywcSTyZr5i06XSq1tXeZCac0P98bmTR5Zi9sE=";
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};
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nativeBuildInputs = [
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setuptools
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];
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propagatedBuildInputs = [
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joblib
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numpy
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scikit-learn
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scipy
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threadpoolctl
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];
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passthru.optional-dependencies = {
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optional = [
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keras
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pandas
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tensorflow
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];
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};
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pythonImportsCheck = [
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"imblearn"
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];
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nativeCheckInputs = [ pytestCheckHook pandas ];
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preCheck = ''
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export HOME=$TMPDIR
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'';
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disabledTestPaths = [
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# require tensorflow and keras, but we don't want to
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# add them to nativeCheckInputs just for this tests
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"imblearn/keras/_generator.py"
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];
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meta = with lib; {
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description = "Library offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance";
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homepage = "https://github.com/scikit-learn-contrib/imbalanced-learn";
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changelog = "https://github.com/scikit-learn-contrib/imbalanced-learn/releases/tag/${version}";
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license = licenses.mit;
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maintainers = [ maintainers.rmcgibbo ];
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};
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}
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