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linear and rbf fix for variational gradients in Z

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Max Zwiessele 2014-02-21 12:29:28 +00:00
parent 0dc9a32ba3
commit 8b8ca5544f
5 changed files with 102 additions and 113 deletions
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GPy/core/sparse_gp.py
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@ -58,6 +58,7 @@ 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.X_variance, self.Z, self.likelihood, self.Y)
self.likelihood.update_gradients(self.grad_dict.pop('partial_for_likelihood'))
if self.has_uncertain_inputs():
self.kern.update_gradients_variational(mu=self.X, S=self.X_variance, Z=self.Z, **self.grad_dict)
self.Z.gradient = self.kern.gradients_Z_variational(mu=self.X, S=self.X_variance, Z=self.Z, **self.grad_dict)