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

KMeans Clustering
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