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