How to use the numerapi.numerapi.NumerAPI function in numerapi

def __init__(self, path, public_id, secret):
        """
        Creates a new SubmissionTarget.

        :param: path (str):
            local path to the predictions csv file
        :param: public_id (str):
            public_id as reported by the numer.ai website when creating API
            credentials
        :param: secret (str):
            secret as reported by the numer.ai website when creating API
            credentials
        """
        self.path = path
        self.fn = os.path.split(path)[1]
        self.apc = NumerAPI(public_id, secret)

def output(self):
        """
        Saves outputs of this task--which is a csv file of the predictions made for the
        given data.
        """
        self.apc = NumerAPI()
        fn ='predictions_{0}_LogisticRegression.csv'.format(self.apc.get_current_round())
        return luigi.LocalTarget(os.path.join(self.output_path, fn))

:returns:
            A ``dict`` with the following keys:

            * ``zipfile``: original file as downloaded
            (``numerai_dataset_xxx.zip``)
            * ``training_data.csv``: the training data
            (``numerai_training_data.csv``)
            * ``tournament_data.csv``: the tournament data
            (``numerai_tournament_data.csv``)
            * ``example_predictions.csv``: example predictions
            (``example_predictions.csv``)

            Note that ``example_model.py`` and ``example_model.r`` are not referenced,
            as these are to no use for us.
        """
        self.apc = NumerAPI()

        current_round = self.apc.get_current_round()
        dataset_name = "numerai_dataset_{0}.zip".format(current_round)
        dataset_dir = "numerai_dataset_{0}".format(current_round)

        assert self.apc.download_current_dataset(dest_path=self.output_path,
                                                 dest_filename=dataset_name,
                                                 unzip=True)

        # see numerapi download_current_dataset
        dataset_path = os.path.join(self.output_path, dataset_dir)

        test_data_path = os.path.join(dataset_path, 'numerai_training_data.csv')
        tournament_data_path = os.path.join(dataset_path,
                                            'numerai_tournament_data.csv')
        example_data_path = os.path.join(dataset_path,