Saving and loading a model in R

Question

When working with caret, how can I save a model after training, and load it later (e.g. in a different session) for prediction?

score 62 · Accepted Answer · answered Feb 17 '17 at 09:07

62

A better solution nowadays is to use saveRDS to save and readRDS to read:

saveRDS(model, "model.rds")
my_model <- readRDS("model.rds")

This lets you to choose a new name for the object (you don't need to remember the name you used when you saved it)

answered Feb 17 '17 at 09:07

lbcommer

score 23 · Answer 2 · answered Sep 24 '15 at 23:51

23

The correct syntax would be to use:

save(model, file="model.Rdata")

Thereafter, it can be loaded using the load() command.

answered Sep 24 '15 at 23:51

Dan Ibanez

1

Hmm, yeah that is interesting that the other answer went two and a half years unchanged and incorrect. Haha – Rich Scriven Sep 24 '15 at 23:55

score 11 · Answer 3 · answered Feb 07 '13 at 22:29

11

The following code assumes that your model's variable name is 'model':

save(model, "model.RData")

This will save your model as "model.RData" in the current working directory. You can find out what the working directory is by issuing the following:

getwd()

To load it back in, ensure that your model is saved in your working directory and issue:

load("model.RData")

answered Feb 07 '13 at 22:29

Nick Evans

3

it my case I needed to explicitly set file by `save(model, file = "model.RData")` – Boern Oct 05 '15 at 07:03

3 Answers3