Automatic Logging

Automatic logging allows you to log metrics, parameters, and models without the need for an explicit log statement.

You can perform autologging two ways:

1. Call mlflow.autolog() before your training code. This will enable autologging for each supported library you have installed as soon as you import it.
2. 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.