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minor change

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Ricardo 2013-05-13 11:03:19 +01:00
parent b273c76fd7
commit c521c243e1
1 changed files with 1 additions and 2 deletions
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GPy/models/FITC.py
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@ -271,7 +271,6 @@ class FITC(sparse_GP):
def log_likelihood(self): def log_likelihood(self):
""" Compute the (lower bound on the) log marginal likelihood """ """ Compute the (lower bound on the) log marginal likelihood """
A = -0.5 * self.N * self.D * np.log(2.*np.pi) + 0.5 * np.sum(np.log(self.beta_star)) - 0.5 * np.sum(self.V_star * self.likelihood.Y) A = -0.5 * self.N * self.D * np.log(2.*np.pi) + 0.5 * np.sum(np.log(self.beta_star)) - 0.5 * np.sum(self.V_star * self.likelihood.Y)
#B = -0.5 * self.D * (np.sum(self.likelihood.precision.flatten() * self.psi0) - np.trace(self.A))
C = -self.D * (np.sum(np.log(np.diag(self.LB)))) C = -self.D * (np.sum(np.log(np.diag(self.LB))))
D = 0.5 * np.sum(np.square(self._LBi_Lmi_psi1V)) D = 0.5 * np.sum(np.square(self._LBi_Lmi_psi1V))
return A + C + D return A + C + D
@ -284,7 +283,7 @@ class FITC(sparse_GP):
if self.has_uncertain_inputs: if self.has_uncertain_inputs:
raise NotImplementedError, "FITC approximation not implemented for uncertain inputs" raise NotImplementedError, "FITC approximation not implemented for uncertain inputs"
else: else:
#dL_dtheta = dL_dtheta = self.dlogbeta_dtheta + self.dyby_dtheta #+ self.dlogB_dtheta + self.dD_dtheta #dL_dtheta = self.dlogbeta_dtheta + self.dyby_dtheta #+ self.dlogB_dtheta + self.dD_dtheta
dL_dtheta = self.dA_dtheta + self.dlogB_dtheta + self.dD_dtheta dL_dtheta = self.dA_dtheta + self.dlogB_dtheta + self.dD_dtheta
return dL_dtheta return dL_dtheta