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Feature Store

TechTerm

A feature store is a centralised service that stores, serves and versions the features used by machine-learning models - both for training (offline) and for production inference (online).

A feature store is a centralised service that stores, serves and versions the features used by machine-learning models - both for training (offline) and for production inference (online).

It addresses two classic problems of ML in production: reusing features across projects (a single customer lifetime value calculation can serve 10 models) and ensuring consistency between data seen at training time and at inference time (the infamous train/serve skew).

Reference solutions include Tecton, Feast (open source), Hopsworks, Databricks Feature Store and Vertex AI Feature Store.

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