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[mean func] added in GPRegression

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Max Zwiessele 2015-09-07 14:10:36 +01:00
parent 6f29c4646c
commit 63e1fa05e4
1 changed files with 3 additions and 3 deletions
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6
GPy/models/gp_regression.py
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@ -26,12 +26,12 @@ class GPRegression(GP):
"""
def __init__(self, X, Y, kernel=None, Y_metadata=None, normalizer=None, noise_var=1.):
def __init__(self, X, Y, kernel=None, Y_metadata=None, normalizer=None, noise_var=1., mean_function=None):
if kernel is None:
kernel = kern.RBF(X.shape[1])
likelihood = likelihoods.Gaussian(variance=noise_var)
super(GPRegression, self).__init__(X, Y, kernel, likelihood, name='GP regression', Y_metadata=Y_metadata, normalizer=normalizer)
super(GPRegression, self).__init__(X, Y, kernel, likelihood, name='GP regression', Y_metadata=Y_metadata, normalizer=normalizer, mean_function=mean_function)