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@@ -32,7 +32,7 @@
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#' @param nfold number of folds used
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#' @param label option field, when data is Matrix
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#' @param 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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#' value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
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#' @param prediction A logical value indicating whether to return the prediction vector.
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#' @param showsd \code{boolean}, whether show standard deviation of cross validation
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#' @param metrics, list of evaluation metrics to be used in corss validation,
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@@ -134,4 +134,4 @@ xgb.cv <- function(params=list(), data, nrounds, nfold, label = NULL, missing =
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# Avoid error messages during CRAN check.
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# The reason is that these variables are never declared
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# They are mainly column names inferred by Data.table...
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globalVariables(".")
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globalVariables(".")
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