This folder contains all the code examples using xgboost.
- Contribution of examples, benchmarks is more than welcome!
- If you like to share how you use xgboost to solve your problem, send a pull request:)
This is a list of short codes introducing different functionalities of xgboost and its wrapper.
- Basic walkthrough of wrappers python R Julia
- Customize loss function, and evaluation metric python R Julia
- Boosting from existing prediction python R Julia
- Predicting using first n trees python R Julia
- Generalized Linear Model python R Julia
- Cross validation python R Julia
- Predicting leaf indices python R
Most of examples in this section are based on CLI or python version. However, the parameter settings can be applied to all versions