* Added SKLearn-like random forest Python API. - added XGBRFClassifier and XGBRFRegressor classes to SKL-like xgboost API - also added n_gpus and gpu_id parameters to SKL classes - added documentation describing how to use xgboost for random forests, as well as existing caveats
The documentation of xgboost is generated with recommonmark and sphinx. You can build it locally by typing "make html" in this folder. Checkout https://recommonmark.readthedocs.org for guide on how to write markdown with extensions used in this doc, such as math formulas and table of content.