What are feature stores, and why are they used in ML pipelines?
Reviewed by Jason Burns, Editorial Steward · Last updated
A feature store is a centralized system for defining, storing, serving, and versioning the features that machine-learning models consume, providing consistency between training and serving and reducing duplicated feature engineering across teams.