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Feature Versioning

An approach for managing changes in feature definitions as traceable versions over time.

Feature versioning safely manages the evolution of the same feature under changing calculation logic over time. When a feature is corrected or a business rule changes, old training runs and new production usage must not be confused. This is highly valuable for reproducibility and model comparison. In multi-model enterprise AI infrastructures, feature version information is a critical governance element.