lightgbm (version 3.2.1)

lgb.save: Save LightGBM model

Description

Save LightGBM model

Usage

lgb.save(booster, filename, num_iteration = NULL)

Arguments

booster

Object of class lgb.Booster

filename

saved filename

num_iteration

number of iteration want to predict with, NULL or <= 0 means use best iteration

Value

lgb.Booster

Examples

# NOT RUN {
library(lightgbm)
data(agaricus.train, package = "lightgbm")
train <- agaricus.train
dtrain <- lgb.Dataset(train$data, label = train$label)
data(agaricus.test, package = "lightgbm")
test <- agaricus.test
dtest <- lgb.Dataset.create.valid(dtrain, test$data, label = test$label)
params <- list(objective = "regression", metric = "l2")
valids <- list(test = dtest)
model <- lgb.train(
  params = params
  , data = dtrain
  , nrounds = 10L
  , valids = valids
  , min_data = 1L
  , learning_rate = 1.0
  , early_stopping_rounds = 5L
)
lgb.save(model, tempfile(fileext = ".txt"))
# }