462d31c615671a48dcac9d77e6de1bc360b31fee,auto_ml/predictor.py,Predictor,print_results,#Predictor#Any#Any#Any#Any#,836

Before Change

            self._print_ml_analytics_results_random_forest(model, feature_responses)

        else:
            feature_responses = feature_responses.sort_values(by="Importance", ascending=True)
            print("Here are our feature responses for the trained model")
            print(tabulate(feature_responses, headers="keys", floatfmt=".4f", tablefmt="psql"))

After Change

        elif self.ml_for_analytics and model_name in ["RandomForestClassifier", "RandomForestRegressor", "XGBClassifier", "XGBRegressor", "GradientBoostingRegressor", "GradientBoostingClassifier", "LGBMRegressor", "LGBMClassifier"]:
            df_model_results = self._print_ml_analytics_results_random_forest(model)
            sorted_model_results = df_model_results.sort_values(by="Importance", ascending=False)
            sorted_model_results = sorted_model_results.reset_index(drop=True)
            top_features = set(sorted_model_results.head(n=100)["Feature Name"])

            feature_responses = self.create_feature_responses(model, X, y, top_features)
            self._join_and_print_analytics_results(feature_responses, sorted_model_results, sort_field="Importance")

Instances