better doc of dump function
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@ -6,7 +6,7 @@
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#' @importFrom stringr str_split
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#' @importFrom stringr str_split
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#' @importFrom stringr str_replace
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#' @importFrom stringr str_replace
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#' @param model the model object.
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#' @param model the model object.
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#' @param fname the name of the text file where to save the model. If not provided or set to \code{NULL} the function will return the model as a \code{character} vector.
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#' @param fname the name of the text file where to save the model text dump. If not provided or set to \code{NULL} the function will return the model as a \code{character} vector.
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#' @param fmap feature map file representing the type of feature.
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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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#' 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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#' \url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}.
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@ -28,15 +28,19 @@
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#' test <- agaricus.test
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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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#' 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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#' eta = 1, nround = 2,objective = "binary:logistic")
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#' # save the model in file 'xgb.model.dump'
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#' xgb.dump(bst, 'xgb.model.dump')
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#' xgb.dump(bst, 'xgb.model.dump')
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#'
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#' # print the model without saving it to a file
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#' print(xgb.dump(bst))
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#' @export
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#' @export
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#'
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#'
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xgb.dump <- function(model, fname = NULL, fmap = "", with.stats=FALSE) {
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xgb.dump <- function(model = NULL, fname = NULL, fmap = "", with.stats=FALSE) {
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if (class(model) != "xgb.Booster") {
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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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stop("xgb.dump: first argument must be type xgb.Booster")
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}
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}
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if (!class(fname) %in% c("character", "NULL")) {
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if (!class(fname) %in% c("character", "NULL")) {
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stop("xgb.dump: second argument must be type character if provided")
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stop("xgb.dump: second argument must be type character when provided")
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}
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}
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result <- .Call("XGBoosterDumpModel_R", model, fmap, as.integer(with.stats), PACKAGE = "xgboost")
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result <- .Call("XGBoosterDumpModel_R", model, fmap, as.integer(with.stats), PACKAGE = "xgboost")
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@ -4,12 +4,12 @@
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\alias{xgb.dump}
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\alias{xgb.dump}
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\title{Save xgboost model to text file}
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\title{Save xgboost model to text file}
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\usage{
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\usage{
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xgb.dump(model, fname = NULL, fmap = "", with.stats = FALSE)
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xgb.dump(model = NULL, fname = NULL, fmap = "", with.stats = FALSE)
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}
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}
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\arguments{
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\arguments{
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\item{model}{the model object.}
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\item{model}{the model object.}
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\item{fname}{the name of the text file where to save the model. If not provided or set to \code{NULL} the function will return the model as a \code{character} vector.}
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\item{fname}{the name of the text file where to save the model text dump. If not provided or set to \code{NULL} the function will return the model as a \code{character} vector.}
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\item{fmap}{feature map file representing the type of feature.
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\item{fmap}{feature map file representing the type of feature.
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Detailed description could be found at
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Detailed description could be found at
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@ -36,6 +36,10 @@ train <- agaricus.train
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test <- agaricus.test
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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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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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eta = 1, nround = 2,objective = "binary:logistic")
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# save the model in file 'xgb.model.dump'
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xgb.dump(bst, 'xgb.model.dump')
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xgb.dump(bst, 'xgb.model.dump')
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# print the model without saving it to a file
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print(xgb.dump(bst))
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}
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}
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