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Added fallback for non-identity link function for Gaussian variational expectations

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Alan Saul 2015-08-18 16:29:44 +01:00
parent 51092854fc
commit da5de6b814
1 changed files with 3 additions and 0 deletions
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GPy/likelihoods/gaussian.py
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@ -315,6 +315,9 @@ class Gaussian(Likelihood):
return -0.5*np.log(2*np.pi) -0.5*np.log(v) - 0.5*np.square(y_test - mu_star)/v
def variational_expectations(self, Y, m, v, gh_points=None, Y_metadata=None):
if not isinstance(self.gp_link, link_functions.Identity):
return super(Gaussian, self).variational_expectations(Y=Y, m=m, v=v, gh_points=gh_points, Y_metadata=Y_metadata)
lik_var = float(self.variance)
F = -0.5*np.log(2*np.pi) -0.5*np.log(lik_var) - 0.5*(np.square(Y) + np.square(m) + v - 2*m*Y)/lik_var
dF_dmu = (Y - m)/lik_var