I'm creating my own Docker container for use with SageMaker and I'm wondering why the serve command creates a Flask app to serve predictions on data when I want to do a batch transform job. Wouldn't it be simpler to just unpickle the model and run the model's predict method on the dataset I want predictions for? I don't need a web api/endpoint. I just need to automatically generate predictions once a day. Continue reading...
