Machine Learning Models Never Throw, So Data Bugs Ship Silently
TL;DR — A model is a total function: it returns a plausible answer for almost any input, including broken ones. That makes upstream data outages invisible to conventional monitoring. The fix is to treat imputation and fallback rates as first-class SLIs, carry provenance for every feature value, and…
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- 2026-11-11 14:15 · DEV Community — Machine Learning
Machine Learning Models Never Throw, So Data Bugs Ship Silently