1d8304810c4d6d97984f055a51885cd0bfec9a44,autokeras/generator.py,RandomCovClassifierGenerator,generate,#RandomCovClassifierGenerator#,49
Before Change
conv_num = randint(1, 10)
dense_num = randint(1, 10)
dropout_rate = random()
filter_size = randint(3, 5)
pool_size = randint(2, 3)
conv = self._get_conv_layer_func()
filter_shape = self._get_shape(filter_size)
pool_shape = self._get_shape(pool_size)
After Change
dropout_rate = random()
filter_size = randint(1, 2) * 2 + 1
pool_size = randint(2, 3)
conv = get_conv_layer_func(len(self.input_shape))
filter_shape = self._get_shape(filter_size)
pool_shape = self._get_shape(pool_size)
pool = self._get_pool_layer_func()
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 3
Instances
Project Name: jhfjhfj1/autokeras
Commit Name: 1d8304810c4d6d97984f055a51885cd0bfec9a44
Time: 2017-12-15
Author: jhfjhfj1@gmail.com
File Name: autokeras/generator.py
Class Name: RandomCovClassifierGenerator
Method Name: generate
Project Name: automl/SMAC3
Commit Name: b7a495831eca76740e1a8f2c23e28fa606cd95c3
Time: 2018-11-16
Author: feurerm@informatik.uni-freiburg.de
File Name: smac/facade/bogp_facade.py
Class Name: BOGP
Method Name: __init__
Project Name: aleju/imgaug
Commit Name: 4a7224e16ae27fe76af9c2c09239135c70971e31
Time: 2019-06-16
Author: kontakt@ajung.name
File Name: imgaug/augmenters/convolutional.py
Class Name: Convolve
Method Name: _augment_images