89244b4aec
b15f6cd rabit unifires with dmlc 5634ec3 ok 2dd6c2f Merge branch 'master' of ssh://github.com/dmlc/rabit 38d7f99 checkin wormhole spliter 8acb96a Merge pull request #10 from ryanzz/master 911a1f0 fixed a mistake 732d8c3 inteface changing 684ea0a inteface changing 8cb4c02 add dmlc support be2ff70 allow adapting wormhole git-subtree-dir: subtree/rabit git-subtree-split: b15f6cd2ac4ac0e530df2b0a207d26868515f2d5
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