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fix the bug regarding to the change of the name dL_dthetaL

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Zhenwen Dai 2014-03-17 16:09:25 +00:00
parent 607ed98e51
commit f2d5ee42eb
2 changed files with 2 additions and 2 deletions
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2
GPy/models/bayesian_gplvm.py
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@ -66,7 +66,7 @@ class BayesianGPLVM(SparseGP):
super(BayesianGPLVM, self).parameters_changed()
self._log_marginal_likelihood -= self.variational_prior.KL_divergence(self.X)
self.X.mean.gradient, self.X.variance.gradient = self.kern.gradients_qX_expectations(variational_posterior=self.X, Z=self.Z, **self.grad_dict)
self.X.mean.gradient, self.X.variance.gradient = self.kern.gradients_qX_expectations(variational_posterior=self.X, Z=self.Z, dL_dpsi0=self.grad_dict['dL_dpsi0'], dL_dpsi1=self.grad_dict['dL_dpsi1'], dL_dpsi2=self.grad_dict['dL_dpsi2'])
# update for the KL divergence
self.variational_prior.update_gradients_KL(self.X)

2
GPy/models/ss_gplvm.py
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@ -61,7 +61,7 @@ class SSGPLVM(SparseGP):
super(SSGPLVM, self).parameters_changed()
self._log_marginal_likelihood -= self.variational_prior.KL_divergence(self.X)
self.X.mean.gradient, self.X.variance.gradient, self.X.binary_prob.gradient = self.kern.gradients_qX_expectations(variational_posterior=self.X, Z=self.Z, **self.grad_dict)
self.X.mean.gradient, self.X.variance.gradient, self.X.binary_prob.gradient = self.kern.gradients_qX_expectations(variational_posterior=self.X, Z=self.Z, dL_dpsi0=self.grad_dict['dL_dpsi0'], dL_dpsi1=self.grad_dict['dL_dpsi1'], dL_dpsi2=self.grad_dict['dL_dpsi2'])
# update for the KL divergence
self.variational_prior.update_gradients_KL(self.X)