9.6.8 SHAP Interaction Values ... This formula subtracts the main effect of the features so that we get the pure interaction effect after accounting for the ... ... <看更多>

Using the SHAP python package to identify interactions in data ... #Get SHAP interaction values explainer = shap.TreeExplainer(model) shap_interaction ... ... <看更多>

SHAP value is a measure how feature values are contributing a target variable in observation level. Likewise SHAP interaction value ... ... <看更多>

Edit. The 0.5.0 release of "shapviz" now offers plots for SHAP interactions calculated from XGBoost models or "treeshap": ... <看更多>

SHAP dependency plot explains the effect of a single feature across the whole dataset and accounts for the interaction effects present in ... ... <看更多>