def METHOD_NAME():
    DEFAULT_TRAIN_DATA_PATH = "new-train-raw.csv"
    DEFAULT_SAVED_MODEL_NAME = os.path.join("saved_model", "autoencoder")
    # Get options
    parser = argparse.ArgumentParser(
            description="Training script for Kura AI Wire Component anomaly detection",
            formatter_class=argparse.ArgumentDefaultsHelpFormatter)
    parser.add_argument(
            "-t", "--train_data_path",
            help="Path to .csv training set",
            type=str, required=False, default=DEFAULT_TRAIN_DATA_PATH)
    parser.add_argument(
            "-s", "--saved_model_name",
            help="Folder where the trained model will be saved to",
            type=str, required=False, default=DEFAULT_SAVED_MODEL_NAME)
    args = parser.parse_args()
    train_data_path = args.train_data_path
    trained_model_path = args.saved_model_name
    return train_data_path, trained_model_path