lgb.save {lightgbm} | R Documentation |
Save LightGBM model
Description
Save LightGBM model
Usage
lgb.save(booster, filename, num_iteration = NULL)
Arguments
booster |
Object of class |
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
, num_threads = 2L
)
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"))
[Package lightgbm version 4.3.0 Index]