Add XGBoost to AutoML #11391
Description
Add diverse handful of XGBoost models (some shallow, some deeper, and different row/col sample rates, etc) to the top of the AutoML queue using parameters chosen by [~accountid:557058:8dd31304-4ae2-4b33-9c8f-131377035b71], [~accountid:557058:3402c6e3-c528-4a01-8b6b-85a92dd2a5f8] and [~accountid:557058:948d1d12-c9bb-4ce6-81b5-f7c9ecc76d88]. Also compare the ranges against this [project|https://rdrr.io/github/ja-thomas/autoxgboost/man/autoxgbparset.html].
- Also update the User Guide, R and Python docstrings for the AutoML methods to note the addition of the XGBoost models (where we list the models that are included).
- Not necessary right now, but at some point we should update the leaderboard output in the user guide to include XGBoost models (by re-running the code after it's created). You only have to run it once (from R or Python, then copy/paste the results so they are consistent in the different places the leaderboard output is shown).