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lots of fixes, including prediction being mean and variance only

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James Hensman 2014-03-13 14:42:03 +00:00
parent 365b8ae1e1
commit cc96f5b3d5
13 changed files with 118 additions and 128 deletions
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4
GPy/core/sparse_gp.py
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@ -54,13 +54,13 @@ class SparseGP(GP):
def parameters_changed(self):
self.posterior, self._log_marginal_likelihood, self.grad_dict = self.inference_method.inference(self.kern, self.X, self.Z, self.likelihood, self.Y)
self.likelihood.update_gradients(self.grad_dict.pop('partial_for_likelihood'))
self.likelihood.update_gradients(self.grad_dict['dL_dthetaL'])
if isinstance(self.X, VariationalPosterior):
#gradients wrt kernel
dL_dKmm = self.grad_dict.pop('dL_dKmm')
self.kern.update_gradients_full(dL_dKmm, self.Z, None)
target = self.kern.gradient.copy()
self.kern.update_gradients_expectations(variational_posterior=self.X, Z=self.Z, **self.grad_dict)
self.kern.update_gradients_expectations(variational_posterior=self.X, Z=self.Z, dL_dpsi0=grad_dict['dL_dpsi0'], dL_dpsi1=grad_dict['dL_dpsi1'], dL_dpsi2=grad_dict['dL_dpsi2'])
self.kern.gradient += target
#gradients wrt Z