def cdf(self, y, f, n):
        r"""
        Cumulative density function of the likelihood.

        Parameters
        ----------
        y: ndarray
            query quantiles, i.e.\  :math:`P(Y \leq y)`.
        f: ndarray
            latent function from the GLM prior (:math:`\mathbf{f} =
            \boldsymbol\Phi \mathbf{w}`)
        n: ndarray
            the total number of observations

        Returns
        -------
        cdf: ndarray
            Cumulative density function evaluated at y.
        """
        return binom.cdf(y, n=n, p=expit(f))
def cdf ( self , y , f , n ) : return binom . cdf ( y , n = n , p = expit ( f ) )
r"""
        Cumulative density function of the likelihood.

        Parameters
        ----------
        y: ndarray
            query quantiles, i.e.\  :math:`P(Y \leq y)`.
        f: ndarray
            latent function from the GLM prior (:math:`\mathbf{f} =
            \boldsymbol\Phi \mathbf{w}`)
        n: ndarray
            the total number of observations

        Returns
        -------
        cdf: ndarray
            Cumulative density function evaluated at y.