34 lines
1.2 KiB
R
34 lines
1.2 KiB
R
#' Save xgboost model to text file
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#'
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#' Save a xgboost model to text file. Could be parsed later.
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#'
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#' @param model the model object.
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#' @param fname the name of the binary file.
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#' @param 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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#'
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#' @examples
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#' data(agaricus.train, package='xgboost')
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#' data(agaricus.test, package='xgboost')
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#' train <- agaricus.train
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#' test <- agaricus.test
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#' bst <- xgboost(data = train$data, label = train$label, max.depth = 2,
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#' eta = 1, nround = 2,objective = "binary:logistic")
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#' xgb.dump(bst, 'xgb.model.dump')
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#' @export
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#'
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xgb.dump <- function(model, fname, fmap = "") {
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if (class(model) != "xgb.Booster") {
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stop("xgb.dump: first argument must be type xgb.Booster")
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}
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if (typeof(fname) != "character") {
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stop("xgb.dump: second argument must be type character")
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}
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.Call("XGBoosterDumpModel_R", model, fname, fmap, PACKAGE = "xgboost")
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return(TRUE)
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}
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