Towards a low-code solution for monitoring machine learning model performance
| Main Authors: | Panagiotis Kourouklidis, Dimitris Kolovos, Nicholas Matragkas, Joost Noppen |
|---|---|
| Format: | Proceeding Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4314413 |
Daftar Isi:
- As the use of machine learning techniques by organisations has become more common, the need for software tools that provide the robustness required in a production environment has become apparent. In this paper, we review relevant literature and outline a research agenda for the development of a low-code solution for monitoring the performance of a deployed machine learning model on a continuous basis.