Training with MLflow

Fit a linear regression on bundled measurements, evaluate held-out rows, publish a content-addressed local model registry entry, and independently log parameters, metrics, and the model artifact through the real MLflow SDK to a local SQLite tracking store. No hosted MLflow server is needed.