b2774710630073df7ebbbfbd3aeeb28bd1c14c7e,auto_ml/predictor.py,Predictor,print_training_summary,#Predictor#Any#,1363

Before Change

            except:
                pass
            print("df_raw_scores")
            print(df_raw_scores)
            print("Score in the following columns always refers to cross-validation score")
            print(tabulate(df_raw_scores, headers="keys", floatfmt=".4f", tablefmt="psql", showindex=False))

After Change

            except:
                pass

            cleaned_params = list(df_raw_scores["params"].apply(utils.clean_params))
            df_params = pd.DataFrame(cleaned_params)
            df_scores = pd.concat([df_raw_scores.mean_score, df_params], axis=1)
            print("Score in the following columns always refers to cross-validation score")
            print(tabulate(df_scores, headers="keys", floatfmt=".4f", tablefmt="psql", showindex=False))

Instances