Update xgboost.Rnw
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@ -49,7 +49,7 @@ xgboost.version = '0.3-0'
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This is an introductory document of using the \verb@xgboost@ package in R.
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This is an introductory document of using the \verb@xgboost@ package in R.
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\verb@xgboost@ is short for eXtreme Gradient Boosting package. It is an efficient
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\verb@xgboost@ is short for eXtreme Gradient Boosting package. It is an efficient
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and scalable implementation of gradient boosting framework by \citep{friedman2001greedy}.
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and scalable implementation of gradient boosting framework by \citep{friedman2001greedy} \citep{friedman2000additive}.
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The package includes efficient linear model solver and tree learning algorithm.
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The package includes efficient linear model solver and tree learning algorithm.
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It supports various objective functions, including regression, classification
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It supports various objective functions, including regression, classification
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and ranking. The package is made to be extendible, so that users are also allowed to define their own objectives easily. It has several features:
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and ranking. The package is made to be extendible, so that users are also allowed to define their own objectives easily. It has several features:
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@ -218,4 +218,4 @@ competition.
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file.remove("xgb.DMatrix")
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file.remove("xgb.DMatrix")
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file.remove("model.dump")
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file.remove("model.dump")
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file.remove("model.save")
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file.remove("model.save")
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@
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@
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