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added robust pickling, switches to old behaviour, if get/setstate not implemented

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Max Zwiessele 2013-06-26 16:48:48 +01:00
parent 05e8e75c58
commit f5effb8cb6
27 changed files with 392 additions and 283 deletions
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13
GPy/models/sparse_gp_classification.py
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@ -28,7 +28,7 @@ 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()
@ -41,7 +41,16 @@ class SparseGPClassification(SparseGP):
i = np.random.permutation(X.shape[0])[:num_inducing]
Z = X[i].copy()
else:
assert Z.shape[1]==X.shape[1]
assert Z.shape[1] == X.shape[1]
SparseGP.__init__(self, X, likelihood, kernel, Z=Z, normalize_X=normalize_X)
self.ensure_default_constraints()
def getstate(self):
return SparseGP.getstate(self)
def setstate(self, state):
return SparseGP.setstate(self, state)
pass