20 lines
734 B
Markdown
20 lines
734 B
Markdown
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](kmeans)
|
|
* [Linear and Logistic Regression](linear)
|
|
|
|
* [XGBoost: eXtreme Gradient Boosting](https://github.com/tqchen/xgboost/tree/master/multi-node)
|
|
- 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
|
|
|
|
|