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This commit is contained in:
James Hensman 2014-02-20 17:11:44 +00:00
parent e03b828466
commit 4fb4a38cd1
1 changed files with 3 additions and 3 deletions
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6
GPy/kern/_src/rbf.py
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@ -169,6 +169,8 @@ class RBF(Kern):
dZ = self._psi2[:, :, :, None] * (term1[None] + term2) dZ = self._psi2[:, :, :, None] * (term1[None] + term2)
grad += (dL_dpsi2[:, :, :, None] * dZ).sum(0).sum(0) grad += (dL_dpsi2[:, :, :, None] * dZ).sum(0).sum(0)
grad += self.gradients_X(dL_dKmm, Z, None)
return grad return grad
def gradients_muS_variational(self, dL_dKmm, dL_dpsi0, dL_dpsi1, dL_dpsi2, mu, S, Z): def gradients_muS_variational(self, dL_dKmm, dL_dpsi0, dL_dpsi1, dL_dpsi2, mu, S, Z):
@ -184,8 +186,6 @@ class RBF(Kern):
return grad_mu, grad_S return grad_mu, grad_S
def gradients_X(self, dL_dK, X, X2=None): def gradients_X(self, dL_dK, X, X2=None):
#if self._X is None or X.base is not self._X.base or X2 is not None: #if self._X is None or X.base is not self._X.base or X2 is not None:
self._K_computations(X, X2) self._K_computations(X, X2)
@ -203,7 +203,7 @@ class RBF(Kern):
# PSI statistics # # PSI statistics #
#---------------------------------------# #---------------------------------------#
#---------------------------------------# #---------------------------------------#
# Precomputations # # Precomputations #
#---------------------------------------# #---------------------------------------#