def gradients_Z_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior,
                                psi0=None, psi1=None, psi2=None):
        return self.psicomp.psiDerivativecomputations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior)[1]
Returns the derivative of the objective wrt Z, using the chain rule
dataset/ETHPy150Open SheffieldML/GPy/GPy/kern/src/kern.py/Kern.gradients_Z_expectations