67 lines
1.8 KiB
R
67 lines
1.8 KiB
R
#' Load xgboost model from binary file
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#'
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#' Load xgboost model from the binary model file.
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#'
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#' @param modelfile the name of the binary input file.
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#'
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#' @details
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#' The input file is expected to contain a model saved in an xgboost model format
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#' using either \code{\link{xgb.save}} or \code{\link{xgb.cb.save.model}} in R, or using some
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#' appropriate methods from other xgboost interfaces. E.g., a model trained in Python and
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#' saved from there in xgboost format, could be loaded from R.
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#'
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#' Note: a model saved as an R-object, has to be loaded using corresponding R-methods,
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#' not \code{xgb.load}.
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#'
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#' @return
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#' An object of \code{xgb.Booster} class.
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#'
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#' @seealso
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#' \code{\link{xgb.save}}
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#'
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#' @examples
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#' \dontshow{RhpcBLASctl::omp_set_num_threads(1)}
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#' data(agaricus.train, package='xgboost')
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#' data(agaricus.test, package='xgboost')
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#'
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#' ## Keep the number of threads to 1 for examples
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#' nthread <- 1
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#' data.table::setDTthreads(nthread)
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#'
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#' train <- agaricus.train
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#' test <- agaricus.test
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#' bst <- xgb.train(
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#' data = xgb.DMatrix(train$data, label = train$label),
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#' max_depth = 2,
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#' eta = 1,
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#' nthread = nthread,
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#' nrounds = 2,
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#' objective = "binary:logistic"
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#' )
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#'
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#' fname <- file.path(tempdir(), "xgb.ubj")
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#' xgb.save(bst, fname)
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#' bst <- xgb.load(fname)
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#' @export
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xgb.load <- function(modelfile) {
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if (is.null(modelfile))
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stop("xgb.load: modelfile cannot be NULL")
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bst <- xgb.Booster(
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params = list(),
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cachelist = list(),
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modelfile = modelfile
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)
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bst <- bst$bst
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# re-use modelfile if it is raw so we do not need to serialize
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if (typeof(modelfile) == "raw") {
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warning(
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paste(
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"The support for loading raw booster with `xgb.load` will be ",
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"discontinued in upcoming release. Use `xgb.load.raw` instead. "
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)
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)
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}
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return(bst)
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}
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