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fb13cab change makefile 1479e37 fixed small bug in mpi submission script 0ca7a63 Update README.md 5ef4830 ok 93a1338 chg note git-subtree-dir: subtree/rabit git-subtree-split: fb13cab216b795f86dc90547b71c0f730766affa
18 lines
688 B
Markdown
18 lines
688 B
Markdown
Rabit-Learn
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====
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This folder contains implementation of distributed machine learning algorithm using rabit.
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It also contain links to the Machine Learning packages that uses rabit.
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* Contribution of toolkits, examples, benchmarks is more than welcomed!
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Toolkits
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====
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* [KMeans Clustering](kmeans)
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* [XGBoost: eXtreme Gradient Boosting](https://github.com/tqchen/xgboost/tree/master/multi-node)
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- xgboost is a very fast boosted tree(also known as GBDT) library, that can run more than
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10 times faster than existing packages
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- Rabit carries xgboost to distributed enviroment, inheritating all the benefits of xgboost
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single node version, and scale it to even larger problems
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