def main()

in china/2020_GCR_Kubeflow_Workshop/resources/mnist-tensorflow-jupyter.py [0:0]

• 11 lines of code
• 2 McCabe index (conditional complexity)

def main(argv=None):
  parser = argparse.ArgumentParser(description='Fashion MNIST Tensorflow Example')
  parser.add_argument('--model_export_path', type=str, help='Model export path')
  parser.add_argument('--model_summary_path', type=str,  help='Model summry files for Tensorboard visualization')
  parser.add_argument('--epochs', type=int, default=5, help='Training epochs')
  args = parser.parse_args(args=[])

  train_images, train_labels, test_images, test_labels = preprocessing()
  model = train(train_images, train_labels, args.epochs, args.model_summary_path)
  eval(model, test_images, test_labels)

  if args.model_export_path:
    export_model(model, args.model_export_path)