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Fixed broken link for R 'First N Trees' sample.
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Chris Auld 2015-11-07 20:26:32 -08:00
parent 562fe8078b
commit e74628f5d4
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@ -22,7 +22,7 @@ This is a list of short codes introducing different functionalities of xgboost p
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/boost_from_prediction.jl) [Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/boost_from_prediction.jl)
* Predicting using first n trees * Predicting using first n trees
[python](guide-python/predict_first_ntree.py) [python](guide-python/predict_first_ntree.py)
[R](../R-package/demo/boost_from_prediction.R) [R](../R-package/demo/predict_first_ntree.R)
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/boost_from_prediction.jl) [Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/boost_from_prediction.jl)
* Generalized Linear Model * Generalized Linear Model
[python](guide-python/generalized_linear_model.py) [python](guide-python/generalized_linear_model.py)
@ -49,4 +49,3 @@ Benchmarks
---------- ----------
* [Starter script for Kaggle Higgs Boson](kaggle-higgs) * [Starter script for Kaggle Higgs Boson](kaggle-higgs)
* [Kaggle Tradeshift winning solution by daxiongshu](https://github.com/daxiongshu/kaggle-tradeshift-winning-solution) * [Kaggle Tradeshift winning solution by daxiongshu](https://github.com/daxiongshu/kaggle-tradeshift-winning-solution)