Related Issues (20)
- ENH: Keep row index in explanations of DataFrames
- ENH: Fit the model on entire dataset, vs doing a train/test split HOT 1
- BUG: interaction values for catboost regressor cannot be calculated
- ENH: increase transparency of background dataset sub-sampling HOT 4
- BUG: warnings
- BUG: Backward hook with shap.DeepExplainer on simple models with PyTorch HOT 2
- [Meta issue] Release 0.44.1 HOT 2
- shap installation failed; python version- 3.12.1 HOT 2
- MAINT: notebooks job intermittently failing on CI HOT 3
- ENH: Add Named Entity Recognition (NER) HOT 1
- AttributeError: 'Sequential' object has no attribute 'predict' HOT 1
- BUG: Python kernel crashes at importing SHAP
- Provided model function fails when applied to the provided data set.BUG: HOT 2
- BUG: AttributeError when using CatBoost with columns containing special characters
- BUG: Pytorch DeepExplainer SHAP explanations do not sum up to the model's output HOT 3
- BUG:
- BUG: NaN values created flattened Beeswarms HOT 1
- BUG: XGBRFRegressor invalid number of trees error with shap>=0.42 HOT 3
- BUG: TreeSHAP Interventional explanations segmentation fault HOT 3
- BUG: Problem of dimension during KernelExplainer HOT 6
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