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

Before Change


        if self.verbose:
            print("Here are all the hyperparameters that were tried:")
            raw_scores = gs.cv_results_
            print("raw_scores")
            print(raw_scores)
            df_raw_scores = pd.DataFrame(raw_scores)
            df_raw_scores = df_raw_scores.sort_values(by="mean_test_score", ascending=False)
            col_name_map = {

After Change


                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))

Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: ClimbsRocks/auto_ml
Commit Name: b2774710630073df7ebbbfbd3aeeb28bd1c14c7e
Time: 2017-06-23
Author: ClimbsBytes@gmail.com
File Name: auto_ml/predictor.py
Class Name: Predictor
Method Name: print_training_summary


Project Name: ClimbsRocks/auto_ml
Commit Name: e36759520ea3342600180aa2818b4b9b8be9de00
Time: 2017-05-21
Author: climbsbytes@gmail.com
File Name: auto_ml/predictor.py
Class Name: Predictor
Method Name: _print_ml_analytics_results_linear_model


Project Name: ClimbsRocks/auto_ml
Commit Name: e6bc2e29b7825e15f4e0e95d74e43910d69875cc
Time: 2017-05-20
Author: climbsbytes@gmail.com
File Name: auto_ml/predictor.py
Class Name: Predictor
Method Name: _get_xgb_feat_importances