8943eb4314
* [jvm-packages] add gpu_hist tree method * change updater hist to grow_quantile_histmaker * add gpu scheduling * pass correct parameters to xgboost library * remove debug info * add use.cuda for pom * add CI for gpu_hist for jvm * add gpu unit tests * use gpu node to build jvm * use nvidia-docker * Add CLI interface to create_jni.py using argparse Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
XGBoost4J Code Examples
Java API
- Basic walkthrough of wrappers
- Customize loss function, and evaluation metric
- Boosting from existing prediction
- Predicting using first n trees
- Generalized Linear Model
- Cross validation
- Predicting leaf indices
- External Memory
Scala API
- Basic walkthrough of wrappers
- Customize loss function, and evaluation metric
- Boosting from existing prediction
- Predicting using first n trees
- Generalized Linear Model
- Cross validation
- Predicting leaf indices
- External Memory