How to use the retentioneering.core.utils.BaseDataset function in retentioneering

'user_pseudo_id': config.get('index_col'),
            'event_name': config.get('event_col'),
            'event_timestamp':  config.get('event_time_col'),
        }
    if not os.path.exists(config['experiments_folder']):
        os.mkdir(config['experiments_folder'])

    @pd.api.extensions.register_dataframe_accessor("trajectory")
    class RetentioneeringTrajectory(BaseTrajectory):

        def __init__(self, pandas_obj):
            super(RetentioneeringTrajectory, self).__init__(pandas_obj)
            self.retention_config = config

    @pd.api.extensions.register_dataframe_accessor("retention")
    class RetentioneeringDataset(BaseDataset):

        def __init__(self, pandas_obj):
            super(RetentioneeringDataset, self).__init__(pandas_obj)
            self.retention_config = config

def __init__(self, pandas_obj):
        super(BaseDataset, self).__init__(pandas_obj)
        self._embedding_types = ['tfidf', 'counts', 'frequency']
        self._locals = None