def parse_args()

in notebooks/train_nn.py [0:0]

• 8 lines of code
• 1 McCabe index (conditional complexity)

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)

    # data directories
    parser.add_argument('--train', type=str, default=os.environ.get('SM_CHANNEL_TRAINING'))
    parser.add_argument('--test', type=str, default=os.environ.get('SM_CHANNEL_VALIDATION'))

    # 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()