Related Issues (20)
- Numpy2 Support HOT 5
- BUG: tests/explainers/test_tree.py::TestExplainerXGBoost::test_xgboost_dmatrix_propagation[XGBRFClassifier] failing on macOs
- incompatibility between numpy and shap HOT 4
- Selection of activation function can lead to AssertionError: The SHAP explanations do not sum up to the model's output! HOT 1
- BUG: DeepExplainer reports unmatch of tensors HOT 7
- BUG: munmap_chunk(): invalid pointer ; Aborted (core dumped) HOT 2
- MAINT: Enable type checking on all modules with mypy's `check_untyped_defs` setting enabled
- BUG: AssertionError: The SHAP explanations do not sum up to the model's output! HOT 1
- ENH: SHAP is used to select the optimal feature combination for time series classification
- Inconsistent shape of TreeExplainer shap_values HOT 1
- ENH: Adopt the array API standard
- ```suggestion HOT 2
- BUG: KernelExplainer really slow on sklearn SVM with RBF Kernel
- BUG: Sphinx docs fails to build with myst HOT 1
- ENH: Add optional color mapping for feature values on the force plot HOT 2
- Bug from the Model agnostic example with KernelExplainer (explains any function) example
- BUG: correct "approximate" parameter description in TreeExplainer
- BUG: install with CUDA support not working (on any OS)
- BUG: incorrect SHAP values from TreeExplainer with imbalanced, high-dimensional dataset and higher number of leaves per tree HOT 1
- BUG: LinearExplainer ignores "link" argument
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