4a28e3ca2c21b48c9b75b99330112d14427b3a6e,GPflow/kernels.py,Static,Kdiag,#Static#Any#,55
Before Change
self.variance = Param(variance, transforms.positive)
def Kdiag(self, X):
zeros = X[:, 0] * 0.0
return zeros + self.variance
class White(Static):
After Change
self.variance = Param(variance, transforms.positive)
def Kdiag(self, X):
return tf.fill((tf.shape(X)[0],), self.variance)
class White(Static):

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 13
Instances
Project Name: GPflow/GPflow
Commit Name: 4a28e3ca2c21b48c9b75b99330112d14427b3a6e
Time: 2016-06-05
Author: james.hensman@gmail.com
File Name: GPflow/kernels.py
Class Name: Static
Method Name: Kdiag
Project Name: GPflow/GPflow
Commit Name: 4a28e3ca2c21b48c9b75b99330112d14427b3a6e
Time: 2016-06-05
Author: james.hensman@gmail.com
File Name: GPflow/kernels.py
Class Name: Stationary
Method Name: Kdiag
Project Name: GPflow/GPflow
Commit Name: 4a28e3ca2c21b48c9b75b99330112d14427b3a6e
Time: 2016-06-05
Author: james.hensman@gmail.com
File Name: GPflow/kernels.py
Class Name: PeriodicKernel
Method Name: Kdiag
Project Name: GPflow/GPflow
Commit Name: 4a28e3ca2c21b48c9b75b99330112d14427b3a6e
Time: 2016-06-05
Author: james.hensman@gmail.com
File Name: GPflow/kernels.py
Class Name: Static
Method Name: Kdiag