lgb.save: Save LightGBM model

In lightgbm: Light Gradient Boosting Machine

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

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"
  , min_data = 1L
  , learning_rate = 1.0
)
valids <- list(test = dtest)
model <- lgb.train(
  params = params
  , data = dtrain
  , nrounds = 10L
  , valids = valids
  , early_stopping_rounds = 5L
)
lgb.save(model, tempfile(fileext = ".txt"))

lightgbm documentation built on Jan. 17, 2023, 1:13 a.m.