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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