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observable pattern through and thorugh

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This commit is contained in:
Max Zwiessele 2014-02-26 15:46:14 +00:00
parent 26aeb5e1db
commit 65fd6dd24e
11 changed files with 64 additions and 80 deletions
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6
GPy/models/sparse_gp_regression.py
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@ -8,6 +8,7 @@ from .. import likelihoods
from .. import kern
from ..inference.latent_function_inference import VarDTC
from ..util.misc import param_to_array
from ..core.parameterization.variational import VariationalPosterior
class SparseGPRegression(SparseGP):
"""
@ -44,7 +45,10 @@ class SparseGPRegression(SparseGP):
assert Z.shape[1] == input_dim
likelihood = likelihoods.Gaussian()
if not (X_variance is None):
X = VariationalPosterior(X,X_variance)
SparseGP.__init__(self, X, Y, Z, kernel, likelihood, inference_method=VarDTC())
def _getstate(self):