def inverse(self, z):
        """
        Inverse of the logit transform

        Parameters
        ----------
        z : array-like
            The value of the logit transform at `p`

        Returns
        -------
        p : array
            Probabilities

        Notes
        -----
        g^(-1)(z) = exp(z)/(1+exp(z))
        """
        z = np.asarray(z)
        t = np.exp(-z)
        return 1. / (1. + t)
def inverse ( self , z ) : z = np . asarray ( z ) t = np . exp ( - z ) return 1. / ( 1. + t )
Inverse of the logit transform

        Parameters
        ----------
        z : array-like
            The value of the logit transform at `p`

        Returns
        -------
        p : array
            Probabilities

        Notes
        -----
        g^(-1)(z) = exp(z)/(1+exp(z))