def d3logpdf_dlink3(self, link_f, y, Y_metadata=None):
        """
        Third order derivative log-likelihood function at y given link(f) w.r.t link(f)

        .. math::
            \\frac{d^{3} \\ln p(y_{i}|\lambda(f_{i}))}{d^{3}\\lambda(f)} = \\frac{2}{\\lambda(f_{i})^{3}}

        :param link_f: latent variables link(f)
        :type link_f: Nx1 array
        :param y: data
        :type y: Nx1 array
        :param Y_metadata: Y_metadata which is not used in exponential distribution
        :returns: third derivative of likelihood evaluated at points f
        :rtype: Nx1 array
        """
        d3lik_dlink3 = (link_f**3)/2.
        #d3lik_dlink3 = 6*y/(link_f**4) - 2./(link_f**3)
        return d3lik_dlink3
dataset/ETHPy150Open SheffieldML/GPy/GPy/likelihoods/exponential.py/Exponential.d3logpdf_dlink3/swapped operands of `/`