xgboost/CHANGES.md

Change Log

xgboost-0.1

• Initial release

xgboost-0.2x

• Python module
• Weighted samples instances
• Initial version of pairwise rank

xgboost-0.3

• 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 for customizing objective function and evaluation
• Add R module

in progress version

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