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#1 Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment [PDF] [Copy] [Kimi] [REL]

Authors: Cedric Renggli ; Bojan Karlaš ; Bolin Ding ; Feng Liu ; Kevin Schawinski ; Wentao Wu ; Ce Zhang

Continuous integration is an indispensable step of modern software engineering practices to systematically manage the life cycles of system development. Developing a machine learning model is no difference — it is an engineering process with a life cycle, including design, implementation, tuning, testing, and deployment. However, most, if not all, existing continuous integration engines do not support machine learning as first-class citizens.