Description
The Python data ecosystem provides amazing tools to quickly get up and running with machine learning models, but the path to stably serving them in production is not so clear. We'll discuss details of wrapping a minimal REST API around scikit-learn, training and persisting models in batch, and logging decisions, then compare to some other common approaches to productionizing models.