def parse_args()

in src/train.py [0:0]


def parse_args():
    
    parser = argparse.ArgumentParser()

    # hyperparameters sent by the client are passed as command-line arguments to the script
    parser.add_argument('--epochs', type=int, default=1)
    parser.add_argument('--batch_size', type=int, default=64)
    parser.add_argument('--learning_rate', type=float, default=0.001)
    
    # data directories
    parser.add_argument('--train', type=str, default=os.environ.get('SM_CHANNEL_TRAIN'))
    parser.add_argument('--test', type=str, default=os.environ.get('SM_CHANNEL_TEST'))
    
    # model directory: we will use the default set by SageMaker, /opt/ml/model
    parser.add_argument('--model_dir', type=str, default=os.environ.get('SM_MODEL_DIR'))
    
    return parser.parse_known_args()