Feature Store - CI/CD Glossary Definition
A feature store centrally computes and serves ML features so training and inference use identical, versioned feature values.
A feature store is a system that computes, stores, and serves machine-learning features consistently for both training and inference, preventing training-serving skew.
Feature stores solve a core MLOps problem: making sure the features a model trains on match the features it sees in production.
Online vs offline
The offline store serves historical features for training; the online store serves low-latency features for real-time inference. Both derive from the same definitions.
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