def METHOD_NAME(cls, column, **kwargs):
    # convert everything to arrays for pairwise distance computation
    column_array = np.array([np.array([point[0], point[1]]) for point in column])
    result = pdist(column_array, cls.haversine_adapted).mean()
    return result