The core XGBoost offers three methods for representing features importance - weight, gain and cover, but the Sklearn API has only one - feature_importances_. The code below outputs the feature importance from the Sklearn API. What is the method for determining importances?
xgb.XGBClassifier(**xgb_params).fit(X, y_train).feature_importances_