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Creates, plans, and tears down SQLite database tables that hold online feature values.
Distinct from SQLite Storage Adapters: Distinct from SQLite Storage Adapters: focuses on lifecycle management of SQLite tables for ML feature stores, not general application persistence.
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Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma
Creates, plans, and tears down SQLite database tables that hold online feature values.