saveRDS.gpb.Booster: saveRDS for 'gpb.Booster' models

In gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

saveRDS for gpb.Booster models

Description

Attempts to save a model using RDS. Has an additional parameter (raw) which decides whether to save the raw model or not.

Usage

saveRDS.gpb.Booster(object, file, ascii = FALSE, version = NULL,
  compress = TRUE, refhook = NULL, raw = TRUE)

Arguments

object	R object to serialize.
file	a connection or the name of the file where the R object is saved to or read from.
ascii	a logical. If TRUE or NA, an ASCII representation is written; otherwise (default), a binary one is used. See the comments in the help for save.
version	the workspace format version to use. NULL specifies the current default version (2). Versions prior to 2 are not supported, so this will only be relevant when there are later versions.
compress	a logical specifying whether saving to a named file is to use "gzip" compression, or one of "gzip", "bzip2" or "xz" to indicate the type of compression to be used. Ignored if file is a connection.
refhook	a hook function for handling reference objects.
raw	whether to save the model in a raw variable or not, recommended to leave it to TRUE.

Value

NULL invisibly.

Examples

library(gpboost)
data(agaricus.train, package = "gpboost")
train <- agaricus.train
dtrain <- gpb.Dataset(train$data, label = train$label)
data(agaricus.test, package = "gpboost")
test <- agaricus.test
dtest <- gpb.Dataset.create.valid(dtrain, test$data, label = test$label)
params <- list(objective = "regression", metric = "l2")
valids <- list(test = dtest)
model <- gpb.train(
    params = params
    , data = dtrain
    , nrounds = 10L
    , valids = valids
    , min_data = 1L
    , learning_rate = 1.0
    , early_stopping_rounds = 5L
)
model_file <- tempfile(fileext = ".rds")
saveRDS.gpb.Booster(model, model_file)

gpboost documentation built on Oct. 24, 2023, 9:09 a.m.