Self-serve feature platforms: architectures and APIs

The last few years saw the maturation of a core component of the MLOps stack that has significantly improved the ML production workflows: feature platforms. A feature platform handles feature engineering, feature computation, and serving computed features for models to use to generate predictions.

LinkedIn, for example, mentioned that they’ve deployed Feathr, their feature platform, for dozens of applications at LinkedIn including Search, Feed, and Ads. Their feature platform reduced engineering time required for adding and experimenting with …

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