lgb.save.Rd 1.05 KB
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lgb.Booster.R
\name{lgb.save}
\alias{lgb.save}
\title{Save LightGBM model}
\usage{
lgb.save(booster, filename, num_iteration = NULL)
}
\arguments{
\item{booster}{Object of class \code{lgb.Booster}}

\item{filename}{saved filename}

\item{num_iteration}{number of iteration want to predict with, NULL or <= 0 means use best iteration}
}
\value{
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lgb.Booster
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}
\description{
Save LightGBM model
}
\examples{
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\dontrun{
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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)
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model <- lgb.train(
  params = params
  , data = dtrain
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  , nrounds = 10L
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  , valids = valids
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  , min_data = 1L
  , learning_rate = 1.0
  , early_stopping_rounds = 5L
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)
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lgb.save(model, tempfile(fileext = ".txt"))
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}
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}