update document
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@@ -13,7 +13,8 @@
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\item{newdata}{takes \code{matrix}, \code{dgCMatrix}, local data file or
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\code{xgb.DMatrix}.}
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\item{missing}{Missing is only used when input is dense matrix, pick a float}
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\item{missing}{Missing is only used when input is dense matrix, pick a float
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value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
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\item{outputmargin}{whether the prediction should be shown in the original
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value of sum of functions, when outputmargin=TRUE, the prediction is
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@@ -11,7 +11,8 @@ indicating the data file.}
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\item{info}{a list of information of the xgb.DMatrix object}
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\item{missing}{Missing is only used when input is dense matrix, pick a float}
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\item{missing}{Missing is only used when input is dense matrix, pick a float
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value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
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\item{...}{other information to pass to \code{info}.}
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}
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@@ -31,7 +31,8 @@ xgb.cv(params = list(), data, nrounds, nfold, label = NULL,
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\item{label}{option field, when data is Matrix}
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\item{missing}{Missing is only used when input is dense matrix, pick a float}
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\item{missing}{Missing is only used when input is dense matrix, pick a float
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value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
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\item{prediction}{A logical value indicating whether to return the prediction vector.}
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@@ -10,7 +10,8 @@ xgboost(data = NULL, label = NULL, missing = NULL, params = list(),
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\item{data}{takes \code{matrix}, \code{dgCMatrix}, local data file or
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\code{xgb.DMatrix}.}
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\item{label}{the response variable. User should not set this field,}
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\item{label}{the response variable. User should not set this field,
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if data is local data file or \code{xgb.DMatrix}.}
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\item{params}{the list of parameters. Commonly used ones are:
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\itemize{
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@@ -33,7 +34,8 @@ xgboost(data = NULL, label = NULL, missing = NULL, params = list(),
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information of performance. If 2, xgboost will print information of both
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performance and construction progress information}
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\item{missing}{Missing is only used when input is dense matrix, pick a float value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
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\item{missing}{Missing is only used when input is dense matrix, pick a float
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value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
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\item{...}{other parameters to pass to \code{params}.}
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}
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