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

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초록

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, AbdulHwang, Seong Oun
DOI
10.1109/MC.2023.3308868
발행일
2024-01
유형
Article
저널명
Computer
57
1
페이지
69 ~ 74