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BUG allowed the var_gauss model to take Y_metadata

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James Hensman 2015-09-25 11:15:18 +01:00
parent c7a25f8ed1
commit 0e2fc89008
1 changed files with 1 additions and 1 deletions
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GPy/models/gp_var_gauss.py
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@ -30,7 +30,7 @@ class GPVariationalGaussianApproximation(GP):
self.beta = Param('beta', np.ones(num_data)) self.beta = Param('beta', np.ones(num_data))
inf = VarGauss(self.alpha, self.beta) inf = VarGauss(self.alpha, self.beta)
super(GPVariationalGaussianApproximation, self).__init__(X, Y, kernel, likelihood, name='VarGP', inference_method=inf) super(GPVariationalGaussianApproximation, self).__init__(X, Y, kernel, likelihood, name='VarGP', inference_method=inf, Y_metadata=Y_metadata)
self.link_parameter(self.alpha) self.link_parameter(self.alpha)
self.link_parameter(self.beta) self.link_parameter(self.beta)