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Max Zwiessele 2014-03-11 10:25:21 +00:00
parent 3e91ea497d
commit 10608a4565
2 changed files with 3 additions and 3 deletions
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4
GPy/models/sparse_gp_regression.py
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@ -45,10 +45,10 @@ class SparseGPRegression(SparseGP):
assert Z.shape[1] == input_dim
likelihood = likelihoods.Gaussian()
if not (X_variance is None):
X = NormalPosterior(X,X_variance)
SparseGP.__init__(self, X, Y, Z, kernel, likelihood, inference_method=VarDTC())
def _getstate(self):