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()