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fix the problem of multiple ties on the same param array object

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This commit is contained in:
Zhenwen Dai 2014-06-24 12:49:04 +01:00
parent 567612b3a9
commit 3f36a245d1
5 changed files with 18 additions and 24 deletions
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14
GPy/models/ss_gplvm.py
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@ -44,15 +44,12 @@ class SSGPLVM(SparseGP):
if X_variance is None: # The variance of the variational approximation (S)
X_variance = np.random.uniform(0,.1,X.shape)
gamma = np.empty_like(X, order='F') # The posterior probabilities of the binary variable in the variational approximation
gamma = np.empty_like(X) # The posterior probabilities of the binary variable in the variational approximation
gamma[:] = 0.5 + 0.1 * np.random.randn(X.shape[0], input_dim)
gamma[gamma>1.-1e-9] = 1.-1e-9
gamma[gamma<1e-9] = 1e-9
gamma[:] = 0.5
if group_spike:
gamma[:] = gamma[:,0]
if Z is None:
Z = np.random.permutation(X.copy())[:num_inducing]
assert Z.shape[1] == X.shape[1]
@ -73,14 +70,13 @@ class SSGPLVM(SparseGP):
X = SpikeAndSlabPosterior(X, X_variance, gamma)
if group_spike:
kernel.group_spike_prob = True
self.variational_prior.group_spike_prob = True
SparseGP.__init__(self, X, Y, Z, kernel, likelihood, inference_method, name, **kwargs)
self.add_parameter(self.X, index=0)
self.add_parameter(self.variational_prior)
if self.group_spike:
[self.X.gamma[:,i].tie('tieGamma'+str(i)) for i in xrange(self.X.gamma.shape[1])] # Tie columns together
if mpi_comm != None:
from ..util.mpi import divide_data
Y_start, Y_end, Y_list = divide_data(Y.shape[0], mpi_comm)