apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-06-02 14:45:15 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Use super().__init__ consistently, instead of sometimes calling base class __init__ directly

Browse source
This commit is contained in:
Julien Bect 2020-05-03 22:07:19 +02:00
parent 5d44eadfae
commit 5dd81288f2
19 changed files with 47 additions and 42 deletions
Download patch file Download diff file Expand all files Collapse all files

2
GPy/core/gp_grid.py
View file

@ -46,7 +46,7 @@ class GpGrid(GP):
inference_method = gaussian_grid_inference.GaussianGridInference()
GP.__init__(self, X, Y, kernel, likelihood, inference_method=inference_method, name=name, Y_metadata=Y_metadata, normalizer=normalizer)
super(GpGrid, self).__init__(X, Y, kernel, likelihood, inference_method=inference_method, name=name, Y_metadata=Y_metadata, normalizer=normalizer)
self.posterior = None
def parameters_changed(self):

2
GPy/core/sparse_gp.py
View file

@ -53,7 +53,7 @@ class SparseGP(GP):
self.Z = Param('inducing inputs', Z)
self.num_inducing = Z.shape[0]
GP.__init__(self, X, Y, kernel, likelihood, mean_function, inference_method=inference_method, name=name, Y_metadata=Y_metadata, normalizer=normalizer)
super(SparseGP, self).__init__(X, Y, kernel, likelihood, mean_function, inference_method=inference_method, name=name, Y_metadata=Y_metadata, normalizer=normalizer)
logger.info("Adding Z as parameter")
self.link_parameter(self.Z, index=0)