lgb.save.Rd 1.09 KB
Newer Older
Guolin Ke's avatar
Guolin Ke committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
% 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{
17
lgb.Booster
Guolin Ke's avatar
Guolin Ke committed
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
}
\description{
Save LightGBM model
}
\examples{
\dontrun{
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,
                   dtrain,
                   100,
                   valids,
                   min_data = 1,
                   learning_rate = 1,
                   early_stopping_rounds = 10)
lgb.save(model, "model.txt")
}

}