xgb.save.raw: Save XGBoost model to R's raw vector

In xgboost: Extreme Gradient Boosting

Save XGBoost model to R's raw vector

Description

Save XGBoost model from xgboost() or xgb.train(). Call xgb.load.raw() to load the model back from raw vector.

Usage

xgb.save.raw(model, raw_format = "ubj")

Arguments

model	The model object.
raw_format	The format for encoding the booster: "json": Encode the booster into JSON text document. "ubj": Encode the booster into Universal Binary JSON. "deprecated": Encode the booster into old customized binary format.

Examples

data(agaricus.train, package = "xgboost")
data(agaricus.test, package = "xgboost")

## Keep the number of threads to 1 for examples
nthread <- 1
data.table::setDTthreads(nthread)

train <- agaricus.train
test <- agaricus.test

bst <- xgb.train(
  data = xgb.DMatrix(train$data, label = train$label, nthread = 1),
  nrounds = 2,
  params = xgb.params(
    max_depth = 2,
    nthread = nthread,
    objective = "binary:logistic"
  )
)

raw <- xgb.save.raw(bst)
bst <- xgb.load.raw(raw)

xgboost documentation built on Dec. 3, 2025, 5:06 p.m.