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psi statistics working for linear ARD kernel

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This commit is contained in:
Nicolò Fusi 2013-02-07 10:01:05 +00:00
parent 2e948d888a
commit baa06181e8
3 changed files with 16 additions and 8 deletions
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13
GPy/kern/linear.py
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@ -95,7 +95,11 @@ class linear(kernpart):
def dpsi0_dtheta(self,partial,Z,mu,S,target):
self._psi_computations(Z,mu,S)
target += (partial[:, None] * (np.sum(self.mu2_S,0))).sum()
tmp = (partial[:, None] * (np.sum(self.mu2_S,0)))
if self.ARD:
target += tmp.sum(0)
else:
target += tmp.sum()
def dpsi0_dmuS(self,partial, Z,mu,S,target_mu,target_S):
target_mu += partial[:, None] * (2.0*mu*self.variances) * mu.shape[0]
@ -130,7 +134,12 @@ class linear(kernpart):
def dpsi2_dtheta(self,partial,Z,mu,S,target):
self._psi_computations(Z,mu,S)
target += (partial[:,:,:,None]*(2.*self.ZZ*self.mu2_S[:,None,None,:]*self.variances)).sum()
tmp = (partial[:,:,:,None]*(2.*self.ZZ*self.mu2_S[:,None,None,:]*self.variances))
if self.ARD:
target += tmp.sum(0).sum(0).sum(0)
else:
target += tmp.sum()
def dpsi2_dmuS(self,partial,Z,mu,S,target_mu,target_S):
"""Think N,M,M,Q """