Move an experiment-only feature into a feature store while preserving semantics and parity.
Promotion moment avg_cart_gap_3 works in a notebook, but production needs a reusable feature view and online serving path. The migration can remove hidden debt or freeze it into the platform. Migration invariants Definition -> Entity -> Time -> Parity A promoted feature should mean the same thing after migration that it meant during the experiment. Shortcut Rewrite pandas in SQL and register whatever matches the metric. A feature view that preserves the experiment's signal without hidden notebook assumptions. Port assumptions before porting code. 01 Definition 02 Time 03 Parity 04 Try
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