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This commit is contained in:
Neil Lawrence 2013-09-16 11:32:03 +01:00
parent 6d5d4da133
commit 336fe164fa
6 changed files with 21 additions and 24 deletions
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6
GPy/examples/regression.py
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@ -22,7 +22,7 @@ def coregionalisation_toy2(max_iters=100):
Y = np.vstack((Y1, Y2))
k1 = GPy.kern.rbf(1) + GPy.kern.bias(1)
k2 = GPy.kern.coregionalise(2,1)
k2 = GPy.kern.coregionalize(2,1)
k = k1**k2 #k = k1.prod(k2,tensor=True)
m = GPy.models.GPRegression(X, Y, kernel=k)
m.constrain_fixed('.*rbf_var', 1.)
@ -82,7 +82,7 @@ def coregionalisation_sparse(max_iters=100):
k1 = GPy.kern.rbf(1)
m = GPy.models.SparseGPMultioutputRegression(X_list=[X1,X2],Y_list=[Y1,Y2],kernel_list=[k1],num_inducing=20)
#k2 = GPy.kern.coregionalise(2, 2)
#k2 = GPy.kern.coregionalize(2, 2)
#k = k1**k2 #.prod(k2, tensor=True) # + GPy.kern.white(2,0.001)
#m = GPy.models.SparseGPRegression(X, Y, kernel=k, Z=Z)
m.constrain_fixed('.*rbf_var', 1.)
@ -135,7 +135,7 @@ def epomeo_gpx(max_iters=100):
np.random.randint(0, 4, num_inducing)[:, None]))
k1 = GPy.kern.rbf(1)
k2 = GPy.kern.coregionalise(output_dim=5, rank=5)
k2 = GPy.kern.coregionalize(output_dim=5, rank=5)
k = k1**k2
m = GPy.models.SparseGPRegression(t, Y, kernel=k, Z=Z, normalize_Y=True)