Imbalanced Learn?

I was wondering how possible it would be to incorporate the sampling preprocessors in Imbalanced learn?

[https://github.com/scikit-learn-contrib/imbalanced-learn
](https://github.com/scikit-learn-contrib/imbalanced-learn)

I have had a cast around the tpot code but unfortunately can't quite figure out how it hangs together enough to know how painful this would be (even just for myself hacking it in!)

If this is of interest/possible I would have a proper go at incorporating it.