Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines | IEEE Journals & Magazine | IEEE Xplore

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


Abstract:

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...Show More

Abstract:

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.
Published in: Computer ( Volume: 57, Issue: 1, January 2024)
Page(s): 69 - 74
Date of Publication: 03 January 2024

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