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Ricardo 2013-07-15 18:09:26 +01:00
parent 68e37e8684
commit 5b433a3f73
4 changed files with 19 additions and 5 deletions
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7
GPy/core/gp.py
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@ -98,7 +98,12 @@ class GP(GPBase):
Note, we use the chain rule: dL_dtheta = dL_dK * d_K_dtheta
"""
return np.hstack((self.kern.dK_dtheta(dL_dK=self.dL_dK, X=self.X), self.likelihood._gradients(partial=np.diag(self.dL_dK))))
#return np.hstack((self.kern.dK_dtheta(dL_dK=self.dL_dK, X=self.X), self.likelihood._gradients(partial=np.diag(self.dL_dK))))
if not isinstance(self.likelihood,EP):
tmp = np.hstack((self.kern.dK_dtheta(dL_dK=self.dL_dK, X=self.X), self.likelihood._gradients(partial=np.diag(self.dL_dK))))
else:
tmp = np.hstack((self.kern.dK_dtheta(dL_dK=self.dL_dK, X=self.X), self.likelihood._gradients(partial=np.diag(self.dL_dK))))
return tmp
def _raw_predict(self, _Xnew, which_parts='all', full_cov=False,stop=False):
"""