# Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm

## Documentation for package ‘treeshap’ version 0.4.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

colors_breakdown_drwhy | DrWhy color palettes for ggplot objects
colors_discrete_drwhy | DrWhy color palettes for ggplot objects
fifa20 | Attributes of all players in FIFA 20
gbm.unify | Unify GBM model
gpboost.unify | Unify GPBoost model
is.model_unified | Check whether object is a valid model_unified object
is.treeshap | Check whether object is a valid treeshap object
lightgbm.unify | Unify LightGBM model
model_unified.object | Unified model representation
model_unified_multioutput.object | Unified model representations for multi-output model
plot_contribution | SHAP value based Break-Down plot
plot_feature_dependence | SHAP value based Feature Dependence plot
plot_feature_importance | SHAP value based Feature Importance plot
plot_interaction | SHAP Interaction value plot
predict.model_unified | Predict
print.model_unified | Prints model_unified objects
print.model_unified_multioutput | Prints model_unified_multioutput objects
print.treeshap | Prints treeshap objects
print.treeshap_multioutput | Prints treeshap_multioutput objects
randomForest.unify | Unify randomForest model
ranger.unify | Unify ranger model
ranger_surv.unify | Unify ranger survival model
set_reference_dataset | Set reference dataset
theme_drwhy | DrWhy Theme for ggplot objects
theme_drwhy_vertical | DrWhy Theme for ggplot objects
treeshap | Calculate SHAP values of a tree ensemble model.
treeshap.object | treeshap results
treeshap_multioutput.object | treeshap results for multi-output model
unify | Unify tree-based model
xgboost.unify | Unify XGBoost model