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Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines
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5초록
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.
- 제목
- Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines
- 저자
- Majeed, Abdul; Hwang, Seong Oun
- 발행일
- 2024-01
- 유형
- Article
- 저널명
- Computer
- 권
- 57
- 호
- 1
- 페이지
- 69 ~ 74