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tqchen 2015-04-19 13:52:22 -07:00
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@ -15,7 +15,7 @@ Distributed Version: [Distributed XGBoost](multi-node)
Notes on the Code: [Code Guide](src) Notes on the Code: [Code Guide](src)
[Documentation](https://github.com/dmlc/xgboost/doc) Documentation: [Documentation of xgboost](doc/README.md)
Learning about the model: [Introduction to Boosted Trees](http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf) Learning about the model: [Introduction to Boosted Trees](http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf)
* This slide is made by Tianqi Chen to introduce gradient boosting in a statistical view. * This slide is made by Tianqi Chen to introduce gradient boosting in a statistical view.
@ -27,9 +27,8 @@ What's New
* [External Memory Version](doc/external_memory.md) * [External Memory Version](doc/external_memory.md)
* XGBoost wins [WWW2015 Microsoft Malware Classification Challenge (BIG 2015)](http://www.kaggle.com/c/malware-classification/forums/t/13490/say-no-to-overfitting-approaches-sharing) * XGBoost wins [WWW2015 Microsoft Malware Classification Challenge (BIG 2015)](http://www.kaggle.com/c/malware-classification/forums/t/13490/say-no-to-overfitting-approaches-sharing)
* XGBoost now support HDFS and S3 * XGBoost now support HDFS and S3
* [Distributed XGBoost now runs on YARN](https://github.com/dmlc/wormhole/tree/master/learn/xgboost)! * [Distributed XGBoost now runs on YARN](https://github.com/dmlc/wormhole/tree/master/learn/xgboost)
* [xgboost user group](https://groups.google.com/forum/#!forum/xgboost-user/) for tracking changes, sharing your experience on xgboost * [xgboost user group](https://groups.google.com/forum/#!forum/xgboost-user/) for tracking changes, sharing your experience on xgboost
* [Distributed XGBoost](multi-node) is now available!!
* New features in the lastest changes :) * New features in the lastest changes :)
- Distributed version that scale xgboost to even larger problems with cluster - Distributed version that scale xgboost to even larger problems with cluster
- Feature importance visualization in R module, thanks to Michael Benesty - Feature importance visualization in R module, thanks to Michael Benesty

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XGBoost Documentation
====
This is an ongoing effort to move the [wiki document](https://github.com/dmlc/xgboost/wiki) to here. You can already find all the most useful parts here.
List of Documentations List of Documentations
==== ====
* [Parameters](parameter.md) * [Parameters](parameter.md)
@ -27,4 +23,4 @@ This section is about blogposts, presentation and videos discussing how to use x
Contribution Contribution
==== ====
Contribution of document and usecases are welcomed! Contribution of documents and use-cases are welcomed!