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making examples working

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This commit is contained in:
Nicolas 2013-06-04 18:35:36 +01:00
parent 5a2722bec6
commit 392d36964c
2 changed files with 17 additions and 17 deletions
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4
GPy/models/sparse_GP_regression.py
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@ -28,7 +28,7 @@ class sparse_GP_regression(sparse_GP):
"""
def __init__(self, X, Y, kernel=None, normalize_X=False, normalize_Y=False, Z=None, M=10):
def __init__(self, X, Y, kernel=None, normalize_X=False, normalize_Y=False, Z=None, M=10, X_variance=None):
#kern defaults to rbf (plus white for stability)
if kernel is None:
kernel = kern.rbf(X.shape[1]) + kern.white(X.shape[1],1e-3)
@ -43,5 +43,5 @@ class sparse_GP_regression(sparse_GP):
#likelihood defaults to Gaussian
likelihood = likelihoods.Gaussian(Y,normalize=normalize_Y)
sparse_GP.__init__(self, X, likelihood, kernel, Z=Z, normalize_X=normalize_X)
sparse_GP.__init__(self, X, likelihood, kernel, Z=Z, normalize_X=normalize_X, X_variance=X_variance)
self._set_params(self._get_params())