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sparseGPLVM demo now working

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This commit is contained in:
James Hensman 2012-11-30 11:59:22 +00:00
parent ba84a43ea3
commit 31b7a0520e
4 changed files with 8 additions and 11 deletions
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9
GPy/models/sparse_GPLVM.py
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@ -42,13 +42,10 @@ class sparse_GPLVM(sparse_GP_regression, GPLVM):
return sparse_GP_regression.log_likelihood(self)
def dL_dX(self):
dpsi0_dX = self.kern.dKdiag_dX(self.X)
dpsi1_dX = self.kern.dK_dX(self.X,self.Z)
dpsi2_dX = self.psi1[:,None,:,None]*dpsi1_dX[None,:,:,:]
dL_dpsi1 = self.dL_dpsi1 + 2.*np.dot(self.dL_dpsi2,self.psi1)
dL_dX = ((self.dL_dpsi0 * dpsi0_dX).sum(0)
+ (self.dL_dpsi1[:,:,None]*dpsi1_dX).sum(0)
+ 2.0*(self.dL_dpsi2[:, :, None,None] * dpsi2_dX).sum(0).sum(0))
dL_dX = self.kern.dKdiag_dX(self.dL_dpsi0,self.X)
dL_dX += self.kern.dK_dX(dL_dpsi1.T,self.X,self.Z)
return dL_dX