import catboost from catboost import * import shap # shap.initjs()

X, y = shap.datasets.boston() model = CatBoostRegressor(iterations=300, learning_rate=0.1, random_seed=123) model.fit(X, y, verbose=False, plot=False) explainer = shap.TreeExplainer(model) shap_values = explainer.shap_values(X) # visualize the first prediction's explanation shap.force_plot(explainer.expected_value, shap_values[0, :], X.iloc[0, :])