57b5d7873f
28ca7beadd linear readmeca4b20fadd linear readme1133628add linear readme6a11676update docsa607047Update build.sh2c1cfd8complete yarn4f28e32change formater2fbda81fix stdin input3258bcfcheckin yarn master67ebf81allow setup from env variables9b6bf57fix hdfs395d5c2add make system88ce767refactor io, initial hdfs file access need test19be870chgsa1bd3c6Merge branch 'master' of ssh://github.com/tqchen/rabit1a573f9introduce input split29476f1fix timer issue git-subtree-dir: subtree/rabit git-subtree-split:28ca7becbd
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