MLflow Autologging

Day 34 of 100 Days of MLOps. Writing a log_param call for every setting is tedious and easy to get wrong. MLflow's autolog captures parameters, metrics, and the model with a single line — no manual logging. See how much boilerplate it removes, the one gotcha to watch (it logs training metrics, not test), and how to combine autolog with a manual metric for the best of both. Runs 100% locally on any OS.