It's a command line tool that is also intended for non-technical folks. I sense a contradiction.
That doesn't even speak to the requirement of understanding all these ML algorithms so I can specify them in the config file, or understanding YAML format, or data curation. At this point it would be easier to write the python code - especially scikit-learn which is a very well-documented library.
Second, I'm a technical user, in fact this is my daily work and we build this tool for reasons that were mentioned in the docs/readme, so you can check it out.
Third, you mentioned understanding YAML Format. Really? I mean yaml is the most understandable format any person can understand. I can never imagine that a person cannot learn yaml in 30 min at most.
Finally, yes sklearn is great and well documented but did you checked how many libraries are out there that represent basically a wrapper to make it easier/abstracter to write sklearn code? you ll be surprised.
As discussed in the official repo & docs, it is a much cleaner approach to gather your preprocessing & model definition parameters/configs in one human readable file/place, where you can manipulate it easily. Re-run experiments, generate drafts, building proof of concepts as fast as possible, than to write code. At the end of the day, we all have different opinions, you can still write code of course. The tools are there to help.
So yes, this tool can have great utility. It adds an abstraction layer and removes busywork for repetitive programming tasks. However, the utility will be for users acquainted with command line. Users who know what a config file is, or data types, lists, and key-value relationships assumed by the YAML spec. Users will also have to know the different algorithms so they can populate the config. All of these things require technical knowledge.
All of the above things are what us technical users take for granted, so a claim to cater to non-technical users must be evaluated from their perspective.
I am not belittling your work - this is a good project, but currently targeting an audience too broad.