Comments (2)
For others who land here @ricoms mentioned that there may also be some issues with some versions of XGBoost 0.7. If you run into these try updated XGBoost to 0.8 :)
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The SHAP value implementation in XGBoost is very recent, so the 0.6 release does not have them. You will need 0.7, or even better the latest master of XGBoost.
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Related Issues (20)
- 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
- ENH: Not showing nan values on Beeswarm or violin plots
- BUG: Discrepancy among SHAP beeswarm and Seaborn swarmplots
- Intrepreting Siamese Network using SHAP values HOT 5
- ENH: Support SeLU activations for Tensorflow DeepExplainer
- BUG: AssertionError: The SHAP explanations do not sum up to the model's output HOT 1
- [Meta-issue] deprecation tracker for upcoming releases HOT 2
- BUG: missing **dmatrix_props in shape_interaction module HOT 1
- BUG: TreeExplainer ignores "link" argument passed by the Explainer API
- BUG: SHAP Partition explainer fails for a single token text input HOT 5
- BUG: Shap value cannot be calculated according to NLP tutorial on the original website HOT 17
- Segmentation Fault on MacOS with pytorch > 2.2.0 HOT 4
- ENH: Faster import performance HOT 1
- ENH: Label dots in scatterplot according to classes and add a legend
- BUG: SHAP DeepExplainer cannot get SHAP values from TorchScript model HOT 1
- CIBuildWheel failing on windows runners
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