Recommender Systems, Software Architecture, Machine Learning, Testing, Backend.
across different aspects of the model. When relevant model metrics are below a certain threshold, we might block the new deployment of that particular model until we have a better result. At training time, you can use metrics in many different ways to measure different aspects of the system.