add documentation notes
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#' 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(iris)
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#' bst <- xgboost(as.matrix(iris[,1:4]),as.numeric(iris[,5]), nrounds = 2)
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#' xgb.save(bst, 'iris.xgb.model')
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#' bst <- xgb.load('iris.xgb.model')
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#' pred <- predict(bst, as.matrix(iris[,1:4]))
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#'
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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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