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h2o::h2o.predict_contributions() implements feature contributions and computes the tree SHAP values (for DRF, GBM, XGBoost models). It would be great to also get tree SHAP interaction values, similar to xgboost's implementation of interaction contributions.
In R: xgboost:::predict.xgb.Booster(..., predinteraction = TRUE)
That would enable better understanding which interactions are modelled.
The text was updated successfully, but these errors were encountered:
h2o::h2o.predict_contributions()
implements feature contributions and computes the tree SHAP values (for DRF, GBM, XGBoost models). It would be great to also get tree SHAP interaction values, similar to xgboost's implementation of interaction contributions.In R:
xgboost:::predict.xgb.Booster(..., predinteraction = TRUE)
That would enable better understanding which interactions are modelled.
The text was updated successfully, but these errors were encountered: