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Tong He 2015-03-21 22:34:19 -07:00
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@ -3,11 +3,11 @@ XGBoost: eXtreme Gradient Boosting
An optimized general purpose gradient boosting library. The library is parallelized, and also provides an optimized distributed version.
It implements machine learning algorithm under gradient boosting framework, including generalized linear model and gradient boosted regression tree (GBDT). XGBoost can also also distributed and scale to even larger data.
Contributors: https://github.com/tqchen/xgboost/graphs/contributors
Contributors: https://github.com/dmlc/xgboost/graphs/contributors
Turorial and Documentation: https://github.com/tqchen/xgboost/wiki
Turorial and Documentation: https://github.com/dmlc/xgboost/wiki
Issues Tracker: [https://github.com/tqchen/xgboost/issues](https://github.com/tqchen/xgboost/issues?q=is%3Aissue+label%3Aquestion)
Issues Tracker: [https://github.com/dmlc/xgboost/issues](https://github.com/dmlc/xgboost/issues?q=is%3Aissue+label%3Aquestion)
Please join [XGBoost User Group](https://groups.google.com/forum/#!forum/xgboost-user/) to ask questions and share your experience on xgboost.