BUG allowed the var_gauss model to take Y_metadata

This commit is contained in:
James Hensman 2015-09-25 11:15:18 +01:00
parent c7a25f8ed1
commit 0e2fc89008

View file

@ -30,7 +30,7 @@ class GPVariationalGaussianApproximation(GP):
self.beta = Param('beta', np.ones(num_data))
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.beta)