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{ stdenv
, buildPythonPackage
, fetchFromGitHub
, isPy27
, pytestCheckHook
, numpy
, scipy
, scikitlearn
, pandas
, tqdm
, slicer
, numba
, matplotlib
, nose
, ipython
}:
buildPythonPackage rec {
pname = "shap";
version = "0.36.0";
disabled = isPy27;
src = fetchFromGitHub {
owner = "slundberg";
repo = pname;
rev = "v${version}";
sha256 = "1wxnxvbz6avzzfqjfbcqd4v879hvpq4021v31fhdpccr2q317rr9";
};
propagatedBuildInputs = [
numpy
scipy
scikitlearn
pandas
tqdm
slicer
numba
];
preCheck = ''
export HOME=$TMPDIR
# when importing the local copy the extension is not found
rm -r shap
'';
checkInputs = [ pytestCheckHook matplotlib nose ipython ];
# Those tests access the network
disabledTests = [
"test_kernel_shap_with_a1a_sparse_zero_background"
"test_kernel_shap_with_a1a_sparse_nonzero_background"
"test_kernel_shap_with_high_dim_sparse"
"test_sklearn_random_forest_newsgroups"
"test_sum_match_random_forest"
"test_sum_match_extra_trees"
"test_single_row_random_forest"
"test_sum_match_gradient_boosting_classifier"
"test_single_row_gradient_boosting_classifier"
"test_HistGradientBoostingClassifier_proba"
"test_HistGradientBoostingClassifier_multidim"
"test_sum_match_gradient_boosting_regressor"
"test_single_row_gradient_boosting_regressor"
];
meta = with stdenv.lib; {
description = "A unified approach to explain the output of any machine learning model";
homepage = "https://github.com/slundberg/shap";
license = licenses.mit;
maintainers = with maintainers; [ evax ];
platforms = platforms.unix;
};
}
|
