Ask HN: What is your ML stack like?
What didn&#x27;t work:<p>Shipping pickled models to other teams.<p>Deploying Sagemaker endpoints (too costly).<p>Requiring editing of config files to deploy endpoints.<p>What did work:<p>Shipping http endpoints.<p>Deriving api documentation from model docstrings.<p>Deploying lambdas (less costly than Sagemaker endpoints).<p>Writing a ~150 line python script to pickle the model, save a requirements.txt, some api metadata, and test input&#x2F;output data.<p>Continuous deployment (after model is saved no manual intervention if model response matches output data).