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change for ssgplvm example

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This commit is contained in:
Zhenwen Dai 2014-08-12 10:38:58 +01:00
parent 785c580032
commit 1061bf5248
1 changed files with 2 additions and 2 deletions
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4
GPy/examples/dimensionality_reduction.py
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@ -317,7 +317,7 @@ def bgplvm_simulation(optimize=True, verbose=1,
def ssgplvm_simulation(optimize=True, verbose=1, def ssgplvm_simulation(optimize=True, verbose=1,
plot=True, plot_sim=False, plot=True, plot_sim=False,
max_iters=2e4, max_iters=2e4, useGPU=False
): ):
from GPy import kern from GPy import kern
from GPy.models import SSGPLVM from GPy.models import SSGPLVM
@ -325,7 +325,7 @@ def ssgplvm_simulation(optimize=True, verbose=1,
D1, D2, D3, N, num_inducing, Q = 13, 5, 8, 45, 3, 9 D1, D2, D3, N, num_inducing, Q = 13, 5, 8, 45, 3, 9
_, _, Ylist = _simulate_sincos(D1, D2, D3, N, num_inducing, Q, plot_sim) _, _, Ylist = _simulate_sincos(D1, D2, D3, N, num_inducing, Q, plot_sim)
Y = Ylist[0] Y = Ylist[0]
k = kern.Linear(Q, ARD=True)# + kern.white(Q, _np.exp(-2)) # + kern.bias(Q) k = kern.Linear(Q, ARD=True, useGPU=useGPU)# + kern.white(Q, _np.exp(-2)) # + kern.bias(Q)
#k = kern.RBF(Q, ARD=True, lengthscale=10.) #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="pca", num_inducing=num_inducing, kernel=k)
m.X.variance[:] = _np.random.uniform(0,.01,m.X.shape) m.X.variance[:] = _np.random.uniform(0,.01,m.X.shape)