28 lines
866 B
R
28 lines
866 B
R
#' Save xgboost model to R's raw vector,
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#' user can call xgb.load to load the model back from raw vector
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#'
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#' Save xgboost model from xgboost or xgb.train
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#'
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#' @param model the model object.
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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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#' raw <- xgb.save.raw(bst)
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#' bst <- xgb.load(raw)
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#' pred <- predict(bst, test$data)
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#' @export
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#'
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xgb.save.raw <- function(model) {
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if (class(model) == "xgb.Booster") {
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raw <- .Call("XGBoosterModelToRaw_R", model, PACKAGE = "xgboost")
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return(raw)
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}
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stop("xgb.raw: the input must be xgb.Booster. Use xgb.DMatrix.save to save
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xgb.DMatrix object.")
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}
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