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grad dict is property of self
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2 changed files with 4 additions and 4 deletions
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@ -67,9 +67,9 @@ class GP(Model):
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self.add_parameter(self.likelihood)
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def parameters_changed(self):
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self.posterior, self._log_marginal_likelihood, grad_dict = self.inference_method.inference(self.kern, self.X, self.likelihood, self.Y, Y_metadata=self.Y_metadata)
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self.likelihood.update_gradients(np.diag(grad_dict['dL_dK']))
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self.kern.update_gradients_full(grad_dict['dL_dK'], self.X)
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self.posterior, self._log_marginal_likelihood, self.grad_dict = self.inference_method.inference(self.kern, self.X, self.likelihood, self.Y, Y_metadata=self.Y_metadata)
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self.likelihood.update_gradients(np.diag(self.grad_dict['dL_dK']))
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self.kern.update_gradients_full(self.grad_dict['dL_dK'], self.X)
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def log_likelihood(self):
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return self._log_marginal_likelihood
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@ -41,7 +41,7 @@ class GPLVM(GP):
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def parameters_changed(self):
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super(GPLVM, self).parameters_changed()
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self.X.gradient = self.kern.gradients_X(self.dL_dK, self.X, None)
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self.X.gradient = self.kern.gradients_X(self.grad_dict['dL_dK'], self.X, None)
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def _getstate(self):
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return GP._getstate(self)
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