2a28ac2467cf4e20143a1c999a427160af8dcfc5,autokeras/hypermodel/hyperblock.py,ImageBlock,build,#ImageBlock#Any#Any#,69
Before Change
["resnet", "xception", "vanilla"],
default="resnet")
normalize = self.normalize or hp.Choice("normalize",
[True, False],
default=True)
augment = self.augment or hp.Choice("augment", [True, False], default=True)
if normalize:
output_node = preprocessor.Normalization()(output_node)
if augment:
After Change
["resnet", "xception", "vanilla"],
default="resnet")
normalize = self.normalize
if normalize is None:
normalize = hp.Choice("normalize", [True, False], default=True)
augment = self.augment
if augment is None:
augment = hp.Choice("augment", [True, False], default=True)
if normalize:
In pattern: SUPERPATTERN
Frequency: 6
Non-data size: 10
Instances
Project Name: jhfjhfj1/autokeras
Commit Name: 2a28ac2467cf4e20143a1c999a427160af8dcfc5
Time: 2019-08-27
Author: jhfjhfj1@gmail.com
File Name: autokeras/hypermodel/hyperblock.py
Class Name: ImageBlock
Method Name: build
Project Name: keras-team/autokeras
Commit Name: 2a28ac2467cf4e20143a1c999a427160af8dcfc5
Time: 2019-08-27
Author: jhfjhfj1@gmail.com
File Name: autokeras/hypermodel/block.py
Class Name: DenseBlock
Method Name: build
Project Name: jhfjhfj1/autokeras
Commit Name: 2a28ac2467cf4e20143a1c999a427160af8dcfc5
Time: 2019-08-27
Author: jhfjhfj1@gmail.com
File Name: autokeras/hypermodel/block.py
Class Name: RNNBlock
Method Name: build