Save xgboost model to R's raw vector, user can call xgb.load.raw to load the model back from raw vector
Save xgboost model from xgboost or xgb.train
xgb.save.raw(model)
model |
the model object. |
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")
raw <- xgb.save.raw(bst)
bst <- xgb.load.raw(raw)
pred <- predict(bst, test$data)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.