[sparsegp] check for missing data

This commit is contained in:
mzwiessele 2015-09-30 08:22:32 +01:00
parent f71b57c24e
commit 87faf96def

View file

@ -42,6 +42,9 @@ class SparseGP(GP):
def __init__(self, X, Y, Z, kernel, likelihood, mean_function=None, X_variance=None, inference_method=None,
name='sparse gp', Y_metadata=None, normalizer=False):
self.missing_data = np.isnan(Y).any()
#pick a sensible inference method
if inference_method is None:
if isinstance(likelihood, likelihoods.Gaussian):