ML is so complicated and so black box-y, it's not like it's a todo list or something.
It seems like this would be the worst of both worlds. Too simple to be of any use to any ML engineer, too complicated for the uninitiated, not customizable enough for a domain expert.
That's because it's not programming. ML describes a strategy using machines to derive information from data. You use programming languages to tell machines how to execute on that strategy.
It seems like this would be the worst of both worlds. Too simple to be of any use to any ML engineer, too complicated for the uninitiated, not customizable enough for a domain expert.