The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning
Yantong Zheng; Victoria Stodden
- Published
- Publisher
- ACM
- Journal / collection
- Proceedings of the 2nd ACM Conference on Reproducibility and Replicability
- Research area
- AI & compute
- Source type
- Conference paper
- DOI
- 10.1145/3641525.3663630
The original publisher provides the full text and its access options.
Cite this source
Yantong Zheng; Victoria Stodden. The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning. Proceedings of the 2nd ACM Conference on Reproducibility and Replicability. 2024-06-18. https://doi.org/10.1145/3641525.3663630