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parameter handling with default constraints

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Max Zwiessele 2014-02-11 14:44:15 +00:00
parent b944427733
commit 79aca59a37
12 changed files with 53 additions and 87 deletions
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2
GPy/models/sparse_gp_regression.py
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@ -44,7 +44,7 @@ class SparseGPRegression(SparseGP):
likelihood = likelihoods.Gaussian()
SparseGP.__init__(self, X, Y, Z, kernel, likelihood, X_variance=X_variance)
self.ensure_default_constraints()
#self.ensure_default_constraints()
def _getstate(self):
return SparseGP._getstate(self)