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vdtc_missing data corrections

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This commit is contained in:
Max Zwiessele 2014-02-26 08:33:45 +00:00
parent d29fa56af2
commit 3c0f89bf53
2 changed files with 7 additions and 8 deletions
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3
GPy/core/sparse_gp.py
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@ -2,12 +2,11 @@
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
from ..util.linalg import mdot
from gp import GP
from parameterization.param import Param
from ..inference.latent_function_inference import var_dtc
from .. import likelihoods
from parameterization.variational import NormalPosterior
from parameterization.variational import VariationalPosterior
class SparseGP(GP):
"""

12
GPy/inference/latent_function_inference/var_dtc.py
View file

@ -204,14 +204,14 @@ class VarDTCMissingData(object):
def inference(self, kern, X, Z, likelihood, Y):
if isinstance(X, VariationalPosterior):
uncertain_inputs = True
psi0 = kern.psi0(Z, X)
psi1 = kern.psi1(Z, X)
psi2 = kern.psi2(Z, X)
psi0_all = kern.psi0(Z, X)
psi1_all = kern.psi1(Z, X)
psi2_all = kern.psi2(Z, X)
else:
uncertain_inputs = False
psi0 = kern.Kdiag(X)
psi1 = kern.K(X, Z)
psi2 = None
psi0_all = kern.Kdiag(X)
psi1_all = kern.K(X, Z)
psi2_all = None
Ys, traces = self._Y(Y)
beta_all = 1./likelihood.variance