Elad Warshawsky

I am probably going to fork and change the one line to be able to use your module. If you have a problem with that please explain why.

Probably, just change the layers and the booster

Looking at the source code more in detail, I think that you just need to choose a different loss for torch and specify a different objective function for XGBoost. "objective"...

Would you guys be happy if I rewrote the repo in LGBM, for regression and classification?

It was that the item "n_estimators" wasn't in the dictionary. I may replace this with del(params["n_estimators"]). Or simply make sure that some version of "n_estimators" is in the dictionary before...

For a benchmark, I would say : speed, performance, features, and simplicity

User info could be accepted. For example, if model = AutoML(), model.discretize(train,columns=[],bins=int,replace=False), where replace can replace continuous with categorical if wanted. It's also possible for this to be detected during...