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4db0a62 bugfix of lazy prepare 87017bd license dc703e1 license c171440 change license to bsd 7db2070 Update README.md 581fe06 add mocktest d2f252f ok 4a5b9e5 add all 12ee049 init version of lbfgs 37a2837 complete lbfgs solver 6ade7cb complete lbfgs git-subtree-dir: subtree/rabit git-subtree-split: 4db0a62a068894a55f70bad5e80c33d4434fc834
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