How to use the kaggler.model.automl.AutoLGB function in Kaggler

def __init__(self, objective='regression', metric='mae', boosting='gbdt', params=params, space=space,
                 n_est=500, n_stop=10, sample_size=SAMPLE_SIZE, feature_selection=True, n_fs=10,
                 hyperparam_opt=True, n_hpopt=100, n_random_col=10, random_state=RANDOM_SEED, shuffle=True):

        self.metric, minimize = self._get_metric_alias_minimize(metric)

        params = self.params
        params.update({'objective': objective,
                       'metric': self.metric,
                       'boosting': boosting})

        super(AutoLGB, self).__init__(params=params, space=space, n_est=n_est, n_stop=n_stop,
                                      sample_size=sample_size, feature_selection=feature_selection,
                                      n_fs=n_fs, hyperparam_opt=hyperparam_opt, n_hpopt=n_hpopt,
                                      minimize=minimize, n_random_col=n_random_col, random_state=random_state,
                                      shuffle=shuffle)