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Tianqi Chen 2014-09-09 21:43:45 -07:00
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@ -12,12 +12,26 @@ This is a list of short codes introducing different functionalities of xgboost a
[python](guide-python/basic_walkthrough.py) [python](guide-python/basic_walkthrough.py)
[R](../R-package/demo/basic_walkthrough.R) [R](../R-package/demo/basic_walkthrough.R)
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/basic_walkthrough.jl) [Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/basic_walkthrough.jl)
* Cutomize loss function, and evaluation metric
* Cutomize loss function, and evaluation metric [python](guide-python/custom_objective.py) [python](guide-python/custom_objective.py)
* Boosting from existing prediction [python](guide-python/boost_from_prediction.py) [R](../R-package/demo/custom_objective.R)
* Predicting using first n trees [python](guide-python/predict_first_ntree.py) [Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/custom_objective.jl)
* Generalized Linear Model [python](guide-python/generalized_linear_model.py) * Boosting from existing prediction
* Cross validation [python](guide-python/cross_validation.py) [python](guide-python/boost_from_prediction.py)
[R](../R-package/demo/boost_from_prediction.R)
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/boost_from_prediction.jl)
* Predicting using first n trees
[python](guide-python/predict_first_ntree.py)
[R](../R-package/demo/boost_from_prediction.R)
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/boost_from_prediction.jl)
* Generalized Linear Model
[python](guide-python/generalized_linear_model.py)
[R](../R-package/demo/generalized_linear_model.R)
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/generalized_linear_model.jl)
* Cross validation
[python](guide-python/cross_validation.py)
[R](../R-package/demo/cross_validation.R)
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/cross_validation.jl)
Basic Examples by Tasks Basic Examples by Tasks
==== ====