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tqchen 2015-01-19 08:36:19 -08:00
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@ -26,7 +26,7 @@ What's New
* 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
- Predict leaf index, see [demo/guide-python/pred_leaf_indices.py](demo/guide-python/pred_leaf_indices.py) - Predict leaf index, see [demo/guide-python/predict_leaf_indices.py](demo/guide-python/predict_leaf_indices.py)
* XGBoost wins [Tradeshift Text Classification](https://kaggle2.blob.core.windows.net/forum-message-attachments/60041/1813/TradeshiftTextClassification.pdf?sv=2012-02-12&se=2015-01-02T13%3A55%3A16Z&sr=b&sp=r&sig=5MHvyjCLESLexYcvbSRFumGQXCS7MVmfdBIY3y01tMk%3D) * XGBoost wins [Tradeshift Text Classification](https://kaggle2.blob.core.windows.net/forum-message-attachments/60041/1813/TradeshiftTextClassification.pdf?sv=2012-02-12&se=2015-01-02T13%3A55%3A16Z&sr=b&sp=r&sig=5MHvyjCLESLexYcvbSRFumGQXCS7MVmfdBIY3y01tMk%3D)
* XGBoost wins [HEP meets ML Award in Higgs Boson Challenge](http://atlas.ch/news/2014/machine-learning-wins-the-higgs-challenge.html) * XGBoost wins [HEP meets ML Award in Higgs Boson Challenge](http://atlas.ch/news/2014/machine-learning-wins-the-higgs-challenge.html)
* Thanks to Bing Xu, [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl) allows you to use xgboost from Julia * Thanks to Bing Xu, [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl) allows you to use xgboost from Julia