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4db0a62bugfix of lazy prepare87017bdlicensedc703e1licensec171440change license to bsd7db2070Update README.md581fe06add mocktestd2f252fok4a5b9e5add all12ee049init version of lbfgs37a2837complete lbfgs solver6ade7cbcomplete lbfgs git-subtree-dir: subtree/rabit git-subtree-split:4db0a62a06
Rabit-Learn
This folder contains implementation of distributed machine learning algorithm using rabit. It also contain links to the Machine Learning packages that uses rabit.
- Contribution of toolkits, examples, benchmarks is more than welcomed!
Toolkits
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XGBoost: eXtreme Gradient Boosting
- xgboost is a very fast boosted tree(also known as GBDT) library, that can run more than 10 times faster than existing packages
- Rabit carries xgboost to distributed enviroment, inheritating all the benefits of xgboost single node version, and scale it to even larger problems