7a56925176a2532e729d425a8f5e2c9a24dc5f86,tests/keras/test_multiprocessing.py,,test_multiprocessing_training_fromfile,#,56
Before Change
// Build a NN
model = Sequential()
model.add(Dense(10, input_shape=(200, )))
model.add(Activation("relu"))
model.add(Dense(1))
model.add(Activation("linear"))
model.compile(loss="mse", optimizer="adadelta")
model.fit_generator(myGenerator(),
samples_per_epoch=320,
After Change
// Build a NN
model = Sequential()
model.add(Dense(1, input_shape=(2, ) ))
model.compile(loss="mse", optimizer="adadelta")
model.fit_generator(myGenerator(),
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 8
Instances Project Name: keras-team/keras
Commit Name: 7a56925176a2532e729d425a8f5e2c9a24dc5f86
Time: 2016-07-19
Author: francois.chollet@gmail.com
File Name: tests/keras/test_multiprocessing.py
Class Name:
Method Name: test_multiprocessing_training_fromfile
Project Name: keras-team/keras
Commit Name: 7a56925176a2532e729d425a8f5e2c9a24dc5f86
Time: 2016-07-19
Author: francois.chollet@gmail.com
File Name: tests/keras/test_multiprocessing.py
Class Name:
Method Name: test_multiprocessing_training
Project Name: keras-team/keras
Commit Name: 7a56925176a2532e729d425a8f5e2c9a24dc5f86
Time: 2016-07-19
Author: francois.chollet@gmail.com
File Name: tests/keras/test_multiprocessing.py
Class Name:
Method Name: test_multiprocessing_training_fromfile
Project Name: keras-team/keras
Commit Name: 7a56925176a2532e729d425a8f5e2c9a24dc5f86
Time: 2016-07-19
Author: francois.chollet@gmail.com
File Name: tests/keras/test_multiprocessing.py
Class Name:
Method Name: test_multiprocessing_predicting
Project Name: keras-team/keras
Commit Name: 7a56925176a2532e729d425a8f5e2c9a24dc5f86
Time: 2016-07-19
Author: francois.chollet@gmail.com
File Name: tests/keras/test_multiprocessing.py
Class Name:
Method Name: test_multiprocessing_evaluating