xgb.save.raw: Save xgboost model to R's raw vector, user can call...

In xgboost: Extreme Gradient Boosting

Save xgboost model to R's raw vector, user can call xgb.load.raw to load the model back from raw vector

Description

Save xgboost model from xgboost or xgb.train

Usage

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

Arguments

model	the model object.
raw_format	The format for encoding the booster. Available options are 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. Right now the default is deprecated but will be changed to ubj in upcoming release.

Examples

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

## Keep the number of threads to 2 for examples
nthread <- 2
data.table::setDTthreads(nthread)

train <- agaricus.train
test <- agaricus.test
bst <- xgboost(data = train$data, label = train$label, max_depth = 2,
               eta = 1, nthread = nthread, nrounds = 2,objective = "binary:logistic")

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

xgboost documentation built on Sept. 11, 2024, 8:26 p.m.