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sparse gp missing data

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This commit is contained in:
Max Zwiessele 2014-02-26 08:23:08 +00:00
parent 51dca0fcbc
commit b928044f40
4 changed files with 22 additions and 17 deletions
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6
GPy/inference/latent_function_inference/var_dtc.py
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@ -45,7 +45,7 @@ class VarDTC(object):
def inference(self, kern, X, X_variance, Z, likelihood, Y):
"""Inference for normal sparseGP"""
uncertain_inputs = False
psi0, psi1, psi2 = _compute_psi(kern, X, X_variance, Z, uncertain_inputs)
psi0, psi1, psi2 = _compute_psi(kern, X, Z)
return self._inference(kern, psi0, psi1, psi2, Z, likelihood, Y, uncertain_inputs)
def inference_latent(self, kern, posterior_variational, Z, likelihood, Y):
@ -205,7 +205,7 @@ class VarDTCMissingData(object):
def inference(self, kern, X, X_variance, Z, likelihood, Y):
"""Inference for normal sparseGP"""
uncertain_inputs = False
psi0, psi1, psi2 = _compute_psi(kern, X, X_variance, Z, uncertain_inputs)
psi0, psi1, psi2 = _compute_psi(kern, X, Z)
return self._inference(kern, psi0, psi1, psi2, Z, likelihood, Y, uncertain_inputs)
def inference_latent(self, kern, posterior_variational, Z, likelihood, Y):
@ -358,7 +358,7 @@ class VarDTCMissingData(object):
return post, log_marginal, grad_dict
def _compute_psi(kern, X, X_variance, Z):
def _compute_psi(kern, X, Z):
psi0 = kern.Kdiag(X)
psi1 = kern.K(X, Z)
psi2 = None