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James' debugging of the EP/GP interface

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It seems that the GP-EP algorithm works now.
This commit is contained in:
Ricardo Andrade 2013-02-01 13:45:55 +00:00
parent eb04cbed63
commit f941d629e6
3 changed files with 11 additions and 8 deletions
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4
GPy/models/GP.py
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@ -65,7 +65,7 @@ class GP(model):
self.likelihood._set_params(p[self.kern.Nparam:])
self.K = self.kern.K(self.X,slices1=self.Xslices)
self.K += self.likelihood.variance
self.K += self.likelihood.covariance_matrix
self.Ki, self.L, self.Li, self.K_logdet = pdinv(self.K)
@ -90,7 +90,7 @@ class GP(model):
For a Gaussian (or direct: TODO) likelihood, no iteration is required:
this function does nothing
"""
self.likelihood.fit_full(self.kern.compute(self.X))
self.likelihood.fit_full(self.kern.K(self.X))
self._set_params(self._get_params()) # update the GP
def _model_fit_term(self):