07a6cabcd92c9c5abf1955419e65b9900e0ff64e,tests/test_trainer.py,TestTrainer,test_train_no_character,#TestTrainer#,68
Before Change
num_labels=p.label_size,
use_crf=False,
use_char=False)
model.build()
model.compile(loss=model.get_loss(), optimizer="adam")
trainer = Trainer(model, preprocessor=p)
trainer.train(self.x_train, self.y_train,
x_valid=self.x_valid, y_valid=self.y_valid)
After Change
num_labels=p.label_size,
use_crf=False,
use_char=False)
model, loss = model.build()
model.compile(loss=loss, optimizer="adam")
trainer = Trainer(model, preprocessor=p)
trainer.train(self.x_train, self.y_train,
x_valid=self.x_valid, y_valid=self.y_valid)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
Project Name: Hironsan/anago
Commit Name: 07a6cabcd92c9c5abf1955419e65b9900e0ff64e
Time: 2018-06-19
Author: light.tree.1.13@gmail.com
File Name: tests/test_trainer.py
Class Name: TestTrainer
Method Name: test_train_no_character
Project Name: Hironsan/anago
Commit Name: 07a6cabcd92c9c5abf1955419e65b9900e0ff64e
Time: 2018-06-19
Author: light.tree.1.13@gmail.com
File Name: anago/wrapper.py
Class Name: Sequence
Method Name: fit
Project Name: Hironsan/anago
Commit Name: 07a6cabcd92c9c5abf1955419e65b9900e0ff64e
Time: 2018-06-19
Author: light.tree.1.13@gmail.com
File Name: tests/test_trainer.py
Class Name: TestTrainer
Method Name: test_train_no_crf