update documentation for xgb.cv
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\usage{
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xgb.cv(params = list(), data, nrounds, nfold, label = NULL,
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missing = NULL, prediction = FALSE, showsd = TRUE, metrics = list(),
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obj = NULL, feval = NULL, verbose = T, ...)
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obj = NULL, feval = NULL, stratified = TRUE, verbose = T, ...)
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}
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\arguments{
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\item{params}{the list of parameters. Commonly used ones are:
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@ -51,13 +51,15 @@ value that represents missing value. Sometime a data use 0 or other extreme valu
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}}
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\item{obj}{customized objective function. Returns gradient and second order
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gradient with given prediction and dtrain,}
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gradient with given prediction and dtrain.}
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\item{feval}{custimized evaluation function. Returns
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\code{list(metric='metric-name', value='metric-value')} with given
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prediction and dtrain,}
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prediction and dtrain.}
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\item{verbose}{\code{boolean}, print the statistics during the process.}
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\item{stratified}{\code{boolean}, whether the sampling of folds should be stratified by the values of labels in \code{data}}
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\item{verbose}{\code{boolean}, print the statistics during the process}
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\item{...}{other parameters to pass to \code{params}.}
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}
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