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

Save xgboost model from xgboost or xgb.train

xgb.save.raw(model)

Arguments

model	the model object.

Examples

data(agaricus.train, package='xgboost')
data(agaricus.test, package='xgboost')
train <- agaricus.train
test <- agaricus.test
bst <- xgboost(data = train$data, label = train$label, max_depth = 2,
               eta = 1, nthread = 2, nrounds = 2,objective = "binary:logistic")
#> [1]	train-error:0.046522 
#> [2]	train-error:0.022263 
raw <- xgb.save.raw(bst)
bst <- xgb.load(raw)
pred <- predict(bst, test$data)