MLflow
Track experiments, log artifacts, and register models using MLflow in BullSequana AI.
MLflow is pre-configured in every dev environment in BullSequana AI. You can start tracking experiments immediately after opening a dev environment, with no manual setup. The tracking server connection and your credentials are injected automatically.
The MLflow UI is available directly in the Developer Workspace: select MLflow in the left sidebar. The UI opens in a new browser tab using your existing login, with no second sign-in required.
New to MLflow?
The MLflow documentation covers the core concepts of experiment tracking, run logging, and model management. It's a good starting point before diving into the guides below.