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[ssgplvm] implement IBP prior

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Zhenwen Dai 2015-05-21 14:18:32 +01:00
parent 21a39ffb87
commit afa0621488
4 changed files with 34 additions and 31 deletions
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4
GPy/examples/dimensionality_reduction.py
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@ -353,9 +353,9 @@ def ssgplvm_simulation(optimize=True, verbose=1,
Y = Ylist[0]
k = kern.Linear(Q, ARD=True) # + kern.white(Q, _np.exp(-2)) # + kern.bias(Q)
# k = kern.RBF(Q, ARD=True, lengthscale=10.)
m = SSGPLVM(Y, Q, init="pca", num_inducing=num_inducing, kernel=k)
m = SSGPLVM(Y, Q, init="rand", num_inducing=num_inducing, kernel=k, group_spike=True)
m.X.variance[:] = _np.random.uniform(0, .01, m.X.shape)
m.likelihood.variance = .1
m.likelihood.variance = .01
if optimize:
print("Optimizing model:")