Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines

COMPUTER(2024)

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摘要
This article presents a technical analysis of the feature store (FS) from the perspective of machine learning (ML) model development and highlights its potential benefits. We propose key considerations in developing a workable and efficient FS for ML pipelines.
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