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Added the structure to posterior.py to enable...

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to enable computation from the posterior mean and variance, instead of
the woodbury componnents

This iss the first step in being able to use this structre for EP and
the laplace approximation.
This commit is contained in:
James Hensman 2013-12-06 09:50:01 -08:00
parent 5ec64d2279
commit 83a49f132a
3 changed files with 58 additions and 11 deletions
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GPy/models/gp_regression.py
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@ -27,7 +27,7 @@ class GPRegression(GP):
likelihood = likelihoods.Gaussian()
super(GPRegression, self).__init__(X, Y, kernel, likelihood, name='gp regression')
super(GPRegression, self).__init__(X, Y, kernel, likelihood, name='gp_regression')
def getstate(self):
return GP.getstate(self)