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Update README.md

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Tianqi Chen 2014-09-09 21:34:10 -07:00
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@ -16,6 +16,7 @@ What's New
=====
* See the updated [demo folder](demo) for feature walkthrough
* Thanks to Tong He, the new [R package](R-package) is available
* Thanks to Bing Xu, [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl) allows you to use xgboost from Julia
Features
======
@ -27,14 +28,6 @@ Features
- 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
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)
Build
=====
* Run ```bash build.sh``` (you can also type make)