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add test case for mpi

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This commit is contained in:
Zhenwen Dai 2014-11-05 16:33:02 +00:00
parent e37b58670c
commit ef84339e46
2 changed files with 59 additions and 3 deletions
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5
GPy/models/bayesian_gplvm.py
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@ -84,6 +84,8 @@ class BayesianGPLVM(SparseGP_MPI):
def parameters_changed(self):
super(BayesianGPLVM,self).parameters_changed()
if isinstance(self.inference_method, VarDTC_minibatch):
return
kl_fctr = 1.
self._log_marginal_likelihood -= kl_fctr*self.variational_prior.KL_divergence(self.X)
@ -98,9 +100,6 @@ class BayesianGPLVM(SparseGP_MPI):
self.variational_prior.update_gradients_KL(self.X)
if isinstance(self.inference_method, VarDTC_minibatch):
return
#super(BayesianGPLVM, self).parameters_changed()
#self._log_marginal_likelihood -= self.variational_prior.KL_divergence(self.X)