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spike and slab binary variable numerical enhancement

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This commit is contained in:
Zhenwen Dai 2014-11-12 20:19:56 +00:00
parent 3c642a5600
commit 7f7b0da7b9
3 changed files with 34 additions and 21 deletions
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5
GPy/models/ss_gplvm.py
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@ -39,10 +39,7 @@ class SSGPLVM(SparseGP_MPI):
X_variance = np.random.uniform(0,.1,X.shape)
if Gamma is None:
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 = np.random.randn(X.shape[0], input_dim)
else:
gamma = Gamma.copy()