XGBoost Examples
====
This folder contains the all example codes using xgboost. 

* Contribution of exampls, benchmarks is more than welcomed!
* If you like to share how you use xgboost to solve your problem, send a pull request:)
 
Features Walkthrough
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This is a list of short codes introducing different functionalities of xgboost and its wrapper.
* Basic walkthrough of wrappers [python](guide-python/basic_walkthrough.py)
* Cutomize loss function, and evaluation metric [python](guide-python/custom_objective.py)
* Boosting from existing prediction [python](guide-python/boost_from_prediction.py)
* Predicting using first n trees [python](guide-python/predict_first_ntree.py)
* Generalized Linear Model [python](guide-python/generalized_linear_model.py)
* Cross validation [python](guide-python/cross_validation.py)

Basic Examples by Tasks
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* [Binary classification](binary_classification)
* [Multiclass classification](multiclass_classification)
* [Regression](regression)
* [Learning to Rank](rank)

Benchmarks
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* [Starter script for Kaggle Higgs Boson](kaggle-higgs)