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1{ lib 2, buildPythonPackage 3, fetchFromGitHub 4, isPy27 5, pytestCheckHook 6, numpy 7, scipy 8, scikit-learn 9, pandas 10, tqdm 11, slicer 12, numba 13, matplotlib 14, nose 15, ipython 16}: 17 18buildPythonPackage rec { 19 pname = "shap"; 20 version = "0.39.0"; 21 disabled = isPy27; 22 23 src = fetchFromGitHub { 24 owner = "slundberg"; 25 repo = pname; 26 rev = "v${version}"; 27 sha256 = "065c40k6g8sy6ynzk4k8k7iddl18g2b6kb9kg4m6g7npclmn5wvp"; 28 }; 29 30 propagatedBuildInputs = [ 31 numpy 32 scipy 33 scikit-learn 34 pandas 35 tqdm 36 slicer 37 numba 38 ]; 39 40 preCheck = '' 41 export HOME=$TMPDIR 42 # when importing the local copy the extension is not found 43 rm -r shap 44 ''; 45 checkInputs = [ pytestCheckHook matplotlib nose ipython ]; 46 # Those tests access the network 47 disabledTests = [ 48 "test_kernel_shap_with_a1a_sparse_zero_background" 49 "test_kernel_shap_with_a1a_sparse_nonzero_background" 50 "test_kernel_shap_with_high_dim_sparse" 51 "test_sklearn_random_forest_newsgroups" 52 "test_sum_match_random_forest" 53 "test_sum_match_extra_trees" 54 "test_single_row_random_forest" 55 "test_sum_match_gradient_boosting_classifier" 56 "test_single_row_gradient_boosting_classifier" 57 "test_HistGradientBoostingClassifier_proba" 58 "test_HistGradientBoostingClassifier_multidim" 59 "test_sum_match_gradient_boosting_regressor" 60 "test_single_row_gradient_boosting_regressor" 61 ]; 62 63 meta = with lib; { 64 description = "A unified approach to explain the output of any machine learning model"; 65 homepage = "https://github.com/slundberg/shap"; 66 license = licenses.mit; 67 maintainers = with maintainers; [ evax ]; 68 platforms = platforms.unix; 69 # ModuleNotFoundError: No module named 'sklearn.ensemble.iforest' 70 broken = true; 71 }; 72}