A Framework Analysis for Alternating Components and Drift
摘要
This chapter discusses a framework architecture that helps choose the best design of an ML system based on the data and models that compose the system. As data and business goals may change over time, the framework also supports offline analysis of data drift that causes performance degradation of the ML system.