Attempts to save a model using RDS. Has an additional parameter (raw
) which decides whether to save the raw model or not.
saveRDS.lgb.Booster(object, file = "", ascii = FALSE, version = NULL, compress = TRUE, refhook = NULL, raw = TRUE)
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. |
compress | a logical specifying whether saving to a named file is to use "gzip" compression, or one of |
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 |
NULL invisibly.
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 )#> [1]: test's l2:6.44165e-17 #> [2]: test's l2:6.44165e-17 #> [3]: test's l2:6.44165e-17 #> [4]: test's l2:6.44165e-17 #> [5]: test's l2:6.44165e-17 #> [6]: test's l2:6.44165e-17 #> [7]: test's l2:6.44165e-17 #> [8]: test's l2:6.44165e-17 #> [9]: test's l2:6.44165e-17 #> [10]: test's l2:6.44165e-17 #> [11]: test's l2:6.44165e-17saveRDS.lgb.Booster(model, "model.rds")