The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction

Our summary

Twenty-eight concrete tests and monitoring needs for production ML, drawn from Google's experience — a rubric covering the deterministic scaffold (data, infra, model plumbing) that surrounds any learned component.

Why it matters

The canonical case that the non-model code around an ML system deserves ordinary, exact unit tests — the basis for unit-testing the deterministic scaffold.

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