Once live, the model either scores a nightly batch of yard sheets o…

Question

Once live, the model either scores a nightly batch of yard sheets or answers a ranger on demand. It sits inside a larger yard system, so conventional integration, system, and acceptance still happen. Over the season its scores may walk away from the agreed bar, so the team re-evaluates and may rebuild. Which closing workflow should the tester summarize?

Accepted Answer

Use (batch versus on-request), integration with non-ML parts, and ongoing monitor-and-tune as iterative last steps — without teaching Chapter 6 drift or A/B methods. — Once live, summarize three closing steps: use (nightly batch versus on-demand), conventional integration with the rest of the yard system, and ongoing monitor-and-tune if scores walk away from the agreed bar. A live model still has non-ML neighbors, and it may need a rebuild.

Answer

Chapter 6 drift and A/B methods as this workflow item.

Answer

Skip conventional integration, because a live ML model has no non-ML neighbors.

Answer

A claim that once live, the model never needs re-evaluation.

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