How machine learning ops works with GitLab and continuous machine learning

This post introduces CML (Continuous Machine Learning) as a tool to adapt CI/CD systems like GitLab CI for data science and ML use cases. It details how to automate model training, testing, and reporting within merge requests. The post provides two examples: a basic report with model metrics and a confusion matrix, and a more advanced use case integrating CML with DVC for data version control, including diffing metrics and visualizing loss function changes.