fcb45df0e631975461936b8bbd5e293f2ff34277,autokeras/predefined_model.py,PredefinedModel,__init__,#PredefinedModel#Any#Any#Any#Any#,28
Before Change
self.data_transformer_class = data_transformer_class
self.data_transformer = None
self.verbose = verbose
if path is None:
path = rand_temp_folder_generator()
self.path = path
@abstractmethod
def _init_generator(self, n_output_node, input_shape):
After Change
def __init__(self, y_encoder=OneHotEncoder(), data_transformer=None, verbose=False, path=None):
super().__init__(verbose, path)
self.graph = None
self.generator = None
self.y_encoder = y_encoder
self.data_transformer = data_transformer
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 6
Instances
Project Name: jhfjhfj1/autokeras
Commit Name: fcb45df0e631975461936b8bbd5e293f2ff34277
Time: 2019-01-25
Author: chengchengeasy@gmail.com
File Name: autokeras/predefined_model.py
Class Name: PredefinedModel
Method Name: __init__
Project Name: keras-team/autokeras
Commit Name: fcb45df0e631975461936b8bbd5e293f2ff34277
Time: 2019-01-25
Author: chengchengeasy@gmail.com
File Name: autokeras/supervised.py
Class Name: PortableDeepSupervised
Method Name: __init__