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fix: #590

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Y_normalized was not used for running optimization
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Max Zwiessele 2018-01-10 14:16:36 +01:00 • committed by GitHub
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GPy/core/sparse_gp.py
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@ -76,7 +76,7 @@ class SparseGP(GP):
def parameters_changed(self): def parameters_changed(self):
self.posterior, self._log_marginal_likelihood, self.grad_dict = \ self.posterior, self._log_marginal_likelihood, self.grad_dict = \
self.inference_method.inference(self.kern, self.X, self.Z, self.likelihood, self.inference_method.inference(self.kern, self.X, self.Z, self.likelihood,
self.Y, Y_metadata=self.Y_metadata, self.Y_normalized, Y_metadata=self.Y_metadata,
mean_function=self.mean_function) mean_function=self.mean_function)
self._update_gradients() self._update_gradients()