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The Ethereal
MLOps -- Definitions, Tools and Challenges
January 01, 2022 ยท Declared Dead ยท ๐ Computing and Communication Workshop and Conference
"No code URL or promise found in abstract"
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Authors
G. Symeonidis, E. Nerantzis, A. Kazakis, G. A. Papakostas
arXiv ID
2201.00162
Category
cs.LG: Machine Learning
Cross-listed
cs.SE
Citations
107
Venue
Computing and Communication Workshop and Conference
Last Checked
4 months ago
Abstract
This paper is an overview of the Machine Learning Operations (MLOps) area. Our aim is to define the operation and the components of such systems by highlighting the current problems and trends. In this context, we present the different tools and their usefulness in order to provide the corresponding guidelines. Moreover, the connection between MLOps and AutoML (Automated Machine Learning) is identified and how this combination could work is proposed.
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