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made GP_regression wwork with partial-passed gradients

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James Hensman 2012-11-30 08:43:45 +00:00
parent 92adeecb6c
commit a1c088c40e
1 changed files with 1 additions and 1 deletions
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GPy/models/GP_regression.py
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@ -103,7 +103,7 @@ class GP_regression(model):
return dL_dK
def log_likelihood_gradients(self):
return (self.kern.dK_dtheta(self.X,slices1=self.Xslices)*self.dL_dK()[:,:,None]).sum(0).sum(0)
return self.kern.dK_dtheta(self.X,partial=self.dL_dK())
def predict(self,Xnew, slices=None):
"""