fixed a bug in constructor of periodic_matern52

This commit is contained in:
James Hensman 2013-07-08 13:06:02 +01:00
parent 70189a387b
commit db7485b906
3 changed files with 24 additions and 12 deletions

View file

@ -83,7 +83,7 @@ def coregionalisation_toy2(optim_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.coregionalise(2,1)
k = k1.prod(k2,tensor=True)
m = GPy.models.GPRegression(X,Y,kernel=k)
m.constrain_fixed('.*rbf_var',1.)
@ -114,7 +114,7 @@ def coregionalisation_toy(optim_iters=100):
Y = np.vstack((Y1,Y2))
k1 = GPy.kern.rbf(1)
k2 = GPy.kern.Coregionalise(2,2)
k2 = GPy.kern.coregionalise(2,2)
k = k1.prod(k2,tensor=True)
m = GPy.models.GPRegression(X,Y,kernel=k)
m.constrain_fixed('.*rbf_var',1.)
@ -149,7 +149,7 @@ def coregionalisation_sparse(optim_iters=100):
Z = np.hstack((np.random.rand(num_inducing,1)*8,np.random.randint(0,2,num_inducing)[:,None]))
k1 = GPy.kern.rbf(1)
k2 = GPy.kern.Coregionalise(2,2)
k2 = GPy.kern.coregionalise(2,2)
k = k1.prod(k2,tensor=True) + GPy.kern.white(2,0.001)
m = GPy.models.SparseGPRegression(X,Y,kernel=k,Z=Z)