arxivcs.SEcs.AI2026-07-11
ML in a Box: Analyzing Containerization Practices in Open Source ML Projects
Faten Jebari, Emna Ksontini, Amine Barrak, Wael Kessentini
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 reve…