Automatic logging allows you to log metrics, parameters, and models without the need for an explicit log statement.
You can perform autologging two ways:
mlflow.autolog()before your training code. This will enable autologging for each supported library you have installed as soon as you import it.
- Use library-specific autolog calls for each library you use in your code. See below for examples.
For more information about the libraries supported by autologging, see Automatic Logging.