Distributed Black-Box Explanation with Ray
Advances in computer architecture have led to state-of-the-art performance of machine learning models in fields such as text and image classification, disease […]
How Seldon’s Alibi and Ray make Model Explainability Easy and Scalable
Written by Seldon and Anyscale‘s Bill Chambers Serving models at scale is only part of the battle. In general, you’re going to […]