How can you access the source code generated by AutoML for non-best trials?

Accessing the source code generated by AutoML for non-best trials is accomplished by checking the artifacts section in the MLflow run page. When using Databricks AutoML, every run, including those for non-best trials, produces artifacts that contain all relevant information, including models, metrics, and source code.

In MLflow, each trial's results are stored within a unique run, and the artifacts associated with that run can be accessed through the MLflow run page. This includes scripts and configurations used in the runs, allowing users to inspect the code that was automatically generated during the training process.

While other options may reference functionalities available in Databricks, they do not specifically lead to the access of source code for non-best trials. For example, notebooks may not necessarily contain the detailed source code you’re looking for, and viewing logs or running commands may not provide the same level of detailed output related to the specific trials generated by AutoML. Thus, leveraging the artifacts section in the MLflow run page is the correct method for accessing this information.