ML Model Change Detection and Versioning Service

Many machine learning applications call for methods to recommend when to update a deployed model if the underlying distribution of incoming data drifts over time. While necessary to generate accurate predictions towards intended business outcomes, updating a model in the form of re-training and maintaining model versions is a cost intensive operation. Current approaches in change detection and ver...