2b5b96d760
* [R] xgb.save must work when handle in nil but raw exists * [R] print.xgb.Booster should still print other info when handle is nil * [R] rename internal function xgb.Booster to xgb.Booster.handle to make its intent clear * [R] rename xgb.Booster.check to xgb.Booster.complete and make it visible; more docs * [R] storing evaluation_log should depend only on watchlist, not on verbose * [R] reduce the excessive chattiness of unit tests * [R] only disable some tests in windows when it's not 64-bit * [R] clean-up xgb.DMatrix * [R] test xgb.DMatrix loading from libsvm text file * [R] store feature_names in xgb.Booster, use them from utility functions * [R] remove non-functional co-occurence computation from xgb.importance * [R] verbose=0 is enough without a callback * [R] added forgotten xgb.Booster.complete.Rd; cran check fixes * [R] update installation instructions
47 lines
1.6 KiB
R
47 lines
1.6 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-internal binary format
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#' using either \code{\link{xgb.save}} or \code{\link{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}}, \code{\link{xgb.Booster.complete}}.
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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, nthread = 2, nrounds = 2,objective = "binary:logistic")
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#' xgb.save(bst, 'xgb.model')
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#' bst <- xgb.load('xgb.model')
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#' pred <- predict(bst, test$data)
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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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handle <- xgb.Booster.handle(modelfile = modelfile)
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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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bst <- xgb.handleToBooster(handle, modelfile)
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} else {
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bst <- xgb.handleToBooster(handle, NULL)
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}
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bst <- xgb.Booster.complete(bst, saveraw = TRUE)
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return(bst)
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}
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