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putting exact_inference_gradients again and calling in instead from ep_gradients which is the genreic method for calculating expected gradients used in ep

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Akash Kumar Dhaka 2017-07-03 18:33:21 +03:00
parent 8b621a409c
commit 5d7e575c77
1 changed files with 3 additions and 0 deletions
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3
GPy/likelihoods/gaussian.py
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@ -58,6 +58,9 @@ class Gaussian(Likelihood):
self.variance.gradient = grad self.variance.gradient = grad
def ep_gradients(self, Y, cav_tau, cav_v, dL_dKdiag,Y_metadata=None): def ep_gradients(self, Y, cav_tau, cav_v, dL_dKdiag,Y_metadata=None):
return self.exact_inference_gradients(dL_dKdiag)
def exact_inference_gradients(self, dL_dKdiag):
return dL_dKdiag.sum() return dL_dKdiag.sum()
def _preprocess_values(self, Y): def _preprocess_values(self, Y):