I need to look at the git repo to make better sense of what AML is doing and why their numbers are poor, but off-handedly: the way you structure the ML problem

I need to look at the git repo to make better sense of what AML is doing and why their numbers are poor, but off-handedly: the way you structure the ML problem is basically the battle and how it'll do. (Feature extraction etc.) Blackboxing all that makes it really non-trivial to come up with a generalized solution for everything because it counts on the human to frame the problem still. (Will comment more intelligently once I read the codebase itself.)