Seeing as the process/interface of the Visual Deep Learning is pretty much the same as a regular prediction VisualML (at least from a user standpoint), would it be possible to add model document generation for these as well?
At the moment we're adapting/rewriting empty prediction documentation by hand for these use cases, but that's pretty time consuming relative to the ease of use with machine learning models.
I'm talking about the VisualML models where you can define a custom Deep Learning architecture in the Architecture tab.
