Change Log
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xgboost-0.1
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* Initial release

xgboost-0.2x
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* Python module
* Weighted samples instances
* Initial version of pairwise rank

xgboost-0.3
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* Faster tree construction module
  - Allows subsample columns during tree construction via ```bst:col_samplebytree=ratio```
* Support for boosting from initial predictions
* Experimental version of LambdaRank
* Linear booster is now parallelized, using parallel coordinated descent.
* Add [Code Guide](src/README.md) for customizing objective function and evaluation
* Add R module

in progress version
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* Distributed version
* Feature importance visualization in R module, thanks to Michael Benesty
* Predict leaf inde