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some natural gradients of the uncollapsed GP implemented

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James Hensman 2012-12-16 17:16:03 +00:00
parent 35a7e6179d
commit 7a34e1c446
1 changed files with 8 additions and 1 deletions
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9
GPy/models/uncollapsed_sparse_GP.py
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@ -125,7 +125,14 @@ class uncollapsed_sparse_GP(sparse_GP_regression):
Note that the natural gradient in either is given by the gradient in the other (See Hensman et al 2012 Fast Variational inference in the conjugate exponential Family)
"""
foobar #TODO
dL_dmmT_S = -0.5*self.Lambda+self.q_u_canonical[1]
dL_dm = np.dot(self.Kmmi,self.psi1V) - self.q_u_canonical[0]
#dL_dSim =
#dL_dmhSi =
return np.hstack((dL_dm.flatten(),dL_dmmT_S.flatten())) # natgrad only, grad TODO
def plot(self, *args, **kwargs):
"""