apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-30 14:35:15 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge branch 'linK_functions2' into devel

Browse source 
Conflicts:
	GPy/core/gp.py
	GPy/core/gp_base.py
	GPy/core/sparse_gp.py
	GPy/examples/regression.py
	GPy/kern/constructors.py
	GPy/kern/parts/coregionalise.py
	GPy/models/__init__.py
	GPy/models/sparse_gp_classification.py
	GPy/util/__init__.py
This commit is contained in:
Ricardo 2013-09-13 15:57:34 +01:00
commit f8c9e6b982
36 changed files with 2144 additions and 404 deletions
Download patch file Download diff file Expand all files Collapse all files

6
GPy/models/sparse_gp_classification.py
View file

@ -28,11 +28,11 @@ class SparseGPClassification(SparseGP):
def __init__(self, X, Y=None, likelihood=None, kernel=None, normalize_X=False, normalize_Y=False, Z=None, num_inducing=10):
if kernel is None:
kernel = kern.rbf(X.shape[1]) + kern.white(X.shape[1], 1e-3)
kernel = kern.rbf(X.shape[1])# + kern.white(X.shape[1],1e-3)
if likelihood is None:
distribution = likelihoods.likelihood_functions.Binomial()
likelihood = likelihoods.EP(Y, distribution)
noise_model = likelihoods.binomial()
likelihood = likelihoods.EP(Y, noise_model)
elif Y is not None:
if not all(Y.flatten() == likelihood.data.flatten()):
raise Warning, 'likelihood.data and Y are different.'