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clean up parallel framework

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Zhenwen Dai 2014-11-05 14:34:03 +00:00
parent 9febc73be3
commit 902f8f138b
11 changed files with 135 additions and 550 deletions
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2
GPy/models/ss_gplvm.py
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@ -8,7 +8,6 @@ from .. import kern
from ..likelihoods import Gaussian
from ..core.parameterization.variational import SpikeAndSlabPrior, SpikeAndSlabPosterior
from ..inference.latent_function_inference.var_dtc_parallel import update_gradients, VarDTC_minibatch
from ..inference.latent_function_inference.var_dtc_gpu import VarDTC_GPU
from ..kern._src.psi_comp.ssrbf_psi_gpucomp import PSICOMP_SSRBF_GPU
class SSGPLVM(SparseGP_MPI):
@ -72,6 +71,7 @@ class SSGPLVM(SparseGP_MPI):
super(SSGPLVM,self).__init__(X, Y, Z, kernel, likelihood, variational_prior=self.variational_prior, inference_method=inference_method, name=name, mpi_comm=mpi_comm, normalizer=normalizer, **kwargs)
# self.X.unfix()
# self.X.variance.constrain_positive()
self.link_parameter(self.X, index=0)
if self.group_spike:
[self.X.gamma[:,i].tie('tieGamma'+str(i)) for i in xrange(self.X.gamma.shape[1])] # Tie columns together