Parameterizing notebooks is a feature common to modern data platforms, and most of its usefulness comes from saving the output. That makes it easier to debug ML

Parameterizing notebooks is a feature common to modern data platforms, and most of its usefulness comes from saving the output. That makes it easier to debug ML pipelines and such, cos the code, documentation, and last output are all in one place. However I don't see any mention of what happens to the outputs with this tool.