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mu 2014-02-04 19:47:51 +00:00
parent a243a8eabe
commit 4b3930a52e
1 changed files with 3 additions and 3 deletions
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6
GPy/models/state_space_xt_sep.py
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@ -89,7 +89,7 @@ class StateSpace_1(Model):
# Get the model matrices from the kernel
(F,L,Qc,H,Pinf) = self.kern.sde()
(F,L,Qc,H,Pinf,use1,use2,use3) = self.kern.sde()
n=X.shape[0]
F1 = np.kron(np.eye(n),F)
@ -109,7 +109,7 @@ class StateSpace_1(Model):
def _log_likelihood_gradients(self):
# Get the model matrices from the kernel
(F,L,Qc,H,Pinf,dF,dQc,dPinf) = self.kern.sde()
(F,L,Qc,H,Pinf,dF,dQc,dPinf,use1,use2,use3) = self.kern.sde()
# Calculate the likelihood gradients TODO
#return self.kf_likelihood_g(F,L,Qc,self.sigma2,H,Pinf,dF,dQc,dPinf,self.X,self.Y)
@ -131,7 +131,7 @@ class StateSpace_1(Model):
Y = Y[return_index]
# Get the model matrices from the kernel
(F,L,Qc,H,Pinf) = self.kern.sde()
(F,L,Qc,H,Pinf,use1,use2,use3) = self.kern.sde()
n=SXP.shape[0]
F1 = np.kron(np.eye(n),F)