32 lines
994 B
R
32 lines
994 B
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 file.
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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(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.check(bst, saveraw = TRUE)
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return(bst)
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}
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