CI/CD for machine learning: testing data, code and models before they ship
Software CI checks code. ML systems also change when data changes, when a model is retrained, or when a dependency shifts numerics. This guide lays out a CI/CD pipeline for ML: versioning, tests for data and models, reproducible training, promotion gates and deployment.