lgb.unloader.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lgb.unloader.R
\name{lgb.unloader}
\alias{lgb.unloader}
\title{LightGBM unloading error fix}
\usage{
lgb.unloader(restore = TRUE, wipe = FALSE, envir = .GlobalEnv)
}
\arguments{
\item{restore}{Whether to reload \code{LightGBM} immediately after detaching from R.
Defaults to \code{TRUE} which means automatically reload \code{LightGBM} once
unloading is performed.}

\item{wipe}{Whether to wipe all \code{lgb.Dataset} and \code{lgb.Booster} from the global
environment. Defaults to \code{FALSE} which means to not remove them.}

\item{envir}{The environment to perform wiping on if \code{wipe == TRUE}. Defaults to
\code{.GlobalEnv} which is the global environment.}
}
\value{
NULL invisibly.
}
\description{
Attempts to unload LightGBM packages so you can remove objects cleanly without
             having to restart R. This is useful for instance if an object becomes stuck for no
             apparent reason and you do not want to restart R to fix the lost object.
}
\examples{
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 = 5L
  , valids = valids
  , min_data = 1L
  , learning_rate = 1.0
)

\dontrun{
lgb.unloader(restore = FALSE, wipe = FALSE, envir = .GlobalEnv)
rm(model, dtrain, dtest) # Not needed if wipe = TRUE
gc() # Not needed if wipe = TRUE

library(lightgbm)
# Do whatever you want again with LightGBM without object clashing
}

}