f747ee321df31e87708673076595c8011f6d50ed,python/baseline/dy/classify/train.py,ClassifyTrainerAutobatch,_step,#ClassifyTrainerAutobatch#Any#Any#Any#,67

Before Change



        metrics = cm.get_all_metrics()
        metrics["avg_loss"] = total_loss / float(steps)
        if verbose:
            print("\n{}\n".format("".join(["="]*40)))
            print(cm)
            print("\n{}\n".format("".join(["="]*40)))
        return metrics


def fit(

After Change



        metrics = cm.get_all_metrics()
        metrics["avg_loss"] = total_loss / float(steps)
        verbose_output(verbose, cm)
        return metrics


def fit(
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 4

Non-data size: 3

Instances


Project Name: dpressel/mead-baseline
Commit Name: f747ee321df31e87708673076595c8011f6d50ed
Time: 2018-09-04
Author: sagnik1987@gmail.com
File Name: python/baseline/dy/classify/train.py
Class Name: ClassifyTrainerAutobatch
Method Name: _step


Project Name: dpressel/mead-baseline
Commit Name: f747ee321df31e87708673076595c8011f6d50ed
Time: 2018-09-04
Author: sagnik1987@gmail.com
File Name: python/baseline/dy/classify/train.py
Class Name: ClassifyTrainerDynet
Method Name: _step


Project Name: dpressel/mead-baseline
Commit Name: f747ee321df31e87708673076595c8011f6d50ed
Time: 2018-09-04
Author: sagnik1987@gmail.com
File Name: python/baseline/pytorch/classify/train.py
Class Name: ClassifyTrainerPyTorch
Method Name: _test


Project Name: dpressel/mead-baseline
Commit Name: f747ee321df31e87708673076595c8011f6d50ed
Time: 2018-09-04
Author: sagnik1987@gmail.com
File Name: python/baseline/tf/classify/train.py
Class Name: ClassifyTrainerTf
Method Name: _test