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28ca7be add linear readme ca4b20f add linear readme 1133628 add linear readme 6a11676 update docs a607047 Update build.sh 2c1cfd8 complete yarn 4f28e32 change formater 2fbda81 fix stdin input 3258bcf checkin yarn master 67ebf81 allow setup from env variables 9b6bf57 fix hdfs 395d5c2 add make system 88ce767 refactor io, initial hdfs file access need test 19be870 chgs a1bd3c6 Merge branch 'master' of ssh://github.com/tqchen/rabit 1a573f9 introduce input split 29476f1 fix timer issue git-subtree-dir: subtree/rabit git-subtree-split: 28ca7becbdf6503e6b1398588a969efb164c9701
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
- KMeans Clustering
- Linear and Logistic Regression
- 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