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