model checkgrad enhancement

This commit is contained in:
Zhenwen Dai 2014-11-05 11:58:05 +00:00
parent 6f06646437
commit 9febc73be3
2 changed files with 9 additions and 4 deletions

View file

@ -348,7 +348,7 @@ def ssgplvm_simulation(optimize=True, verbose=1,
D1, D2, D3, N, num_inducing, Q = 13, 5, 8, 45, 3, 9
_, _, Ylist = _simulate_matern(D1, D2, D3, N, num_inducing, plot_sim)
Y = Ylist[0]
k = kern.Linear(Q, ARD=True, useGPU=useGPU)# + kern.white(Q, _np.exp(-2)) # + kern.bias(Q)
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.X.variance[:] = _np.random.uniform(0,.01,m.X.shape)