Containerization has become increasingly essential in the machine learning (ML) domain, providing reproducibility, portability, and environment consistency. While prior studies have analyzed Dockerfile structures and best practices, none have examined ML projects in depth to reveal how the iterative nature of ML workfl...
Faten Jebari, Emna Ksontini, Amine Barrak et al.· IEEE Working Conference on M...· 0 citations
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