Related Issues (20)
- BUG: [in version 0.44.0 and 0.45.0] UserWarning: unrecognized nn.Module: Flatten HOT 1
- BUG: 'tuple' object has no attribute 'as_list' HOT 5
- BUG: unable to use SHAP with CUDA support on Windows10/11 machine for calculating Shapley values HOT 1
- Support for KerasClassifier HOT 1
- BUG: Failed in nopython mode pipeline (step: native lowering) float16 HOT 4
- Questions: question about SamplingExplainer HOT 1
- BUG: SHAP values calculated using CPU differ from SHAP values calculated using GPU HOT 5
- BUG: TypeError: ufunc 'isfinite' not supported for the input types HOT 5
- BUG: Additivity check failed HOT 1
- When plotting the shap text it is showing an extra letter(Ġ) before every word. HOT 1
- Demangle pytorch and tensorflow dependencies
- ENH: Python 3.13 Support
- TypeError: In v0.20, force plot now requires the base value as the first parameter! Try shap.plots.force(explainer.expected_value, shap_values) or for multi-output models try shap.plots.force(explainer.expected_value[0], shap_values[0]). HOT 4
- Key not found with shap.TreeExplainer and XGBRegressor HOT 1
- BUG: Unable to Generate SHAP values for a dataframe containing text data trained on lstm model HOT 2
- BUG: Error with SHAP Partial Dependence Plot: ValueError: DataFrame.dtypes for data must be int, float, bool or category HOT 1
- ENH: integrated gradients HOT 1
- Support tf 2.16 and keras 3 HOT 4
- BUG: shap.plots.bar(shap_values) TypeError HOT 1
- BUG: Custom masker offset is not working properly
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from shap.