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There are large differences between SHAP values calculated using CPU and GPU for XGBoost models with feature_perturbation='interventional' and model_output='log_loss'. The detailed description of the bug including how to reproduce it and the traceback are provided in shap/shap#3655. The issue seems to be originating at the shap implementation of the xgboost resposiory as mentioned in that issue. It would be great if this can be fixed.
The text was updated successfully, but these errors were encountered:
There are large differences between SHAP values calculated using CPU and GPU for XGBoost models with
feature_perturbation='interventional'
andmodel_output='log_loss'
. The detailed description of the bug including how to reproduce it and the traceback are provided in shap/shap#3655. The issue seems to be originating at the shap implementation of the xgboost resposiory as mentioned in that issue. It would be great if this can be fixed.The text was updated successfully, but these errors were encountered: