Example fixed

This commit is contained in:
Ricardo Andrade 2013-03-11 18:18:23 +00:00
parent 4b9064bb0e
commit 0b1bc1961d

View file

@ -120,7 +120,7 @@ def sparse_toy_linear_1d_classification(seed=default_seed):
Y[Y == -1] = 0
# Kernel object
kernel = GPy.kern.rbf(1)
kernel = GPy.kern.rbf(1) + GPy.kern.white(1)
# Likelihood object
distribution = GPy.likelihoods.likelihood_functions.probit()
@ -129,8 +129,8 @@ def sparse_toy_linear_1d_classification(seed=default_seed):
Z = np.random.uniform(data['X'].min(),data['X'].max(),(10,1))
# Model definition
m = GPy.models.sparse_GP(data['X'],likelihood=likelihood,kernel=kernel,Z=Z,normalize_X=True)
m.set('len',.5)
m = GPy.models.sparse_GP(data['X'],likelihood=likelihood,kernel=kernel,Z=Z,normalize_X=False)
m.set('len',2.)
m.ensure_default_constraints()
# Optimize