def inverse(self, z):
    '\n        Inverse of log transform link function\n\n        Parameters\n        ----------\n        z : ndarray\n            The inverse of the link function at `p`\n\n        Returns\n        -------\n        p : ndarray\n            The mean probabilities given the value of the inverse `z`\n\n        Notes\n        -----\n        g^{-1}(z) = exp(z)\n        '
    return np.exp(z)
Inverse of log transform link function

Parameters
----------
z : ndarray
    The inverse of the link function at `p`

Returns
-------
p : ndarray
    The mean probabilities given the value of the inverse `z`

Notes
-----
g^{-1}(z) = exp(z)
def inverse(self, z):
    '\n        Inverse of log transform link function\n\n        Parameters\n        ----------\n        z : ndarray\n            The inverse of the link function at `p`\n\n        Returns\n        -------\n        p : ndarray\n            The mean probabilities given the value of the inverse `z`\n\n        Notes\n        -----\n        g^{-1}(z) = exp(z)\n        '
    return np.exp(z)