00135a70697dc9b4611971e5833e2d84501c3da7,keras/engine/training.py,Model,test_on_batch,#Model#Any#Any#Any#Any#Any#,1778
Before Change
if return_dict:
return logs
else:
results = [logs.get(name, None) for name in self.metrics_names]
if len(results) == 1:
return results[0]
return results
def predict_on_batch(self, x):
Returns predictions for a single batch of samples.
After Change
if return_dict:
return logs
else:
return flatten_metrics_in_order(logs, self.metrics_names)
def predict_on_batch(self, x):
Returns predictions for a single batch of samples.
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 9
Instances
Project Name: keras-team/keras
Commit Name: 00135a70697dc9b4611971e5833e2d84501c3da7
Time: 2021-03-23
Author: scottzhu@google.com
File Name: keras/engine/training.py
Class Name: Model
Method Name: test_on_batch
Project Name: keras-team/keras
Commit Name: 00135a70697dc9b4611971e5833e2d84501c3da7
Time: 2021-03-23
Author: scottzhu@google.com
File Name: keras/engine/training.py
Class Name: Model
Method Name: evaluate
Project Name: keras-team/keras
Commit Name: 00135a70697dc9b4611971e5833e2d84501c3da7
Time: 2021-03-23
Author: scottzhu@google.com
File Name: keras/engine/training.py
Class Name: Model
Method Name: test_on_batch
Project Name: keras-team/keras
Commit Name: 00135a70697dc9b4611971e5833e2d84501c3da7
Time: 2021-03-23
Author: scottzhu@google.com
File Name: keras/engine/training.py
Class Name: Model
Method Name: train_on_batch