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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) 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): def plot(self, *args, **kwargs):
""" """