regeneration of documentation
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@@ -4,7 +4,7 @@
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\alias{xgb.dump}
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\title{Save xgboost model to text file}
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\usage{
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xgb.dump(model, fname, fmap = "")
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xgb.dump(model, fname, fmap = "", with.stats = FALSE)
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}
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\arguments{
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\item{model}{the model object.}
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@@ -12,11 +12,16 @@ xgb.dump(model, fname, fmap = "")
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\item{fname}{the name of the binary file.}
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\item{fmap}{feature map file representing the type of feature.
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Detailed description could be found at
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\url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}.
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See demo/ for walkthrough example in R, and
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\url{https://github.com/tqchen/xgboost/blob/master/demo/data/featmap.txt}
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for example Format.}
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Detailed description could be found at
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\url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}.
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See demo/ for walkthrough example in R, and
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\url{https://github.com/tqchen/xgboost/blob/master/demo/data/featmap.txt}
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for example Format.}
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\item{with.stats}{whether dump statistics of splits
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When this option is on, the model dump comes with two additional statistics:
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gain is the approximate loss function gain we get in each split;
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cover is the sum of second order gradient in each node.}
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}
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\description{
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Save a xgboost model to text file. Could be parsed later.
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