feature store

A feature store is a centralized software system for managing machine learning features — derived variables engineered from raw data for use in model training and inference. It provides three core operations: (1) feature registration with type and lineage metadata, (2) batch feature computation for historical training data, and (3) low-latency feature retrieval for real-time inference. It persists through deployment pipelines, shared version-controlled schemas, and database backends, enabling consistency between training and serving. [formal: depositum characterium | substrate: matter | horizon: as-long-as-us | explicit: yes | epoch: 0.01]