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Tianqi Chen 2014-09-09 21:31:40 -07:00
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@ -26,7 +26,14 @@ Features
* Speed: XGBoost is very fast * Speed: XGBoost is very fast
- IN [demo/higgs/speedtest.py](demo/kaggle-higgs/speedtest.py), kaggle higgs data it is faster(on our machine 20 times faster using 4 threads) than sklearn.ensemble.GradientBoostingClassifier - IN [demo/higgs/speedtest.py](demo/kaggle-higgs/speedtest.py), kaggle higgs data it is faster(on our machine 20 times faster using 4 threads) than sklearn.ensemble.GradientBoostingClassifier
* Layout of gradient boosting algorithm to support user defined objective * Layout of gradient boosting algorithm to support user defined objective
* Python interface, works with numpy and scipy.sparse matrix
Languages
=====
* Standalone console version is supported, you can call xgboost from command line
* [XGBoost Python](wrapper)
* [XGBoost R](R-package)
* [XGBoost Julia](https://github.com/antinucleon/XGBoost.jl)
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