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made the name of the Gaussian noise variance noise_variance, for consistency
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2 changed files with 1 additions and 2 deletions
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@ -36,7 +36,7 @@ class Gaussian(likelihood):
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return np.asarray(self._variance)
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def _get_param_names(self):
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return ["noise variance"]
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return ["noise_variance"]
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def _set_params(self,x):
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self._variance = float(x)
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@ -134,7 +134,6 @@ class uncollapsed_sparse_GP(sparse_GP):
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"""
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dL_dmmT_S = -0.5*self.Lambda-self.q_u_canonical[1]
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dL_dm = np.dot(self.Kmmi,self.psi1V) - np.dot(self.Lambda,self.q_u_mean)
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#dL_dm = np.dot(self.Kmmi,self.psi1V) - self.q_u_canonical[0]
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#dL_dSim =
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#dL_dmhSi =
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