How to use the hmmlearn.hmm.PoissonHMM.__init__ function in hmmlearn

def __init__(self, *, n_components, n_iter=None, init_params=None,
                 params=None, random_state=None, verbose=False):

        # assign default parameter values
        if n_iter is None:
            n_iter = 50
        if init_params is None:
            init_params = 'stm'
        if params is None:
            params = 'stm'

        # TODO: I don't understand why super().__init__ does not work?
        PHMM.__init__(self,
                      n_components=n_components,
                      n_iter=n_iter,
                      init_params=init_params,
                      params=params,
                      random_state=random_state,
                      verbose=verbose)

        # initialize BinnedSpikeTrain attributes
        for attrib in self.__attributes__:
            exec("self." + attrib + " = None")

        self._extern_ = None
        self._ds = None
        # self._extern_map = None

        # create shortcuts to super() methods that are overridden in