Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines
- Resource Type
- Periodical
- Authors
- Majeed, A.; Hwang, S.O.; Lin, H.
- Source
- Computer. 57(1):69-74 Jan, 2024
- Subject
- Computing and Processing
Machine learning
Pipelines
Usability
Feature detection
- Language
- ISSN
- 0018-9162
1558-0814
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.