2e948d888ab0e40ce43f18914626f956e120c152,GPy/kern/linear.py,linear,dpsi2_dtheta,#linear#Any#Any#Any#Any#Any#,127

Before Change

        target += psi2.sum(-1)

    def dpsi2_dtheta(self,partial,Z,mu,S,target):
        mu2_S = np.square(mu)+S// N,Q,
        ZZ = Z[:,None,:]*Z[None,:,:] // M,M,Q
        target += (partial[:,:,:,None]*(2.*ZZ*mu2_S[:,None,None,:]*self.variances)).sum()

After Change

        target += psi2.sum(-1)

    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()

    def dpsi2_dmuS(self,partial,Z,mu,S,target_mu,target_S):
        Think N,M,M,Q 

Instances