AnacondaCon 2018. Michael Grant. In this talk, we present an approach that leverages best practices of source code management combined with Anaconda's conda package management system to deliver a model management workflow sufficiently flexible to cover a wide range of applications. Our aim is to cover all but the most lightweight, loosely governed models. The features of our approach include: manageable separation of of training data, model infrastructure, and model design; leveraging source control for model versioning, approval processes, and experimental models; building conda packages for reliable, reproducible model deployment; and using Anaconda repositories to ensure historical model archiving.
I am looking for editors/curators to help with branches of the tree. Please send me an email if you are interested.