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This commit is contained in:
James Hensman 2014-02-20 14:34:14 +00:00
parent 87ce8fea0b
commit e03b828466
1 changed files with 2 additions and 5 deletions
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7
GPy/core/sparse_gp.py
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@ -53,20 +53,17 @@ class SparseGP(GP):
self.add_parameter(self.Z, index=0)
self.parameters_changed()
def _gradients_Z(self):
def update_gradients_Z(self):
#The derivative of the bound wrt the inducing inputs Z ( unless they're all fixed)
if not self.Z.is_fixed:
if self.X_variance is None:
self.Z.gradient = self.kern.gradients_Z_sparse(X=self.X, Z=self.Z, **self.grad_dict)
print self.Z.gradient
else:
self.Z.gradient = self.kern.gradients_Z_variational(mu=self.X, S=self.X_variance, Z=self.Z, **self.grad_dict)
print self.Z.gradient
print id(self.Z)
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.Z.gradient = self._gradients_Z()
self.update_gradients_Z()
def _raw_predict(self, Xnew, X_variance_new=None, full_cov=False):
"""