I am trying to use predict function in R using a model saved earlier. The model was created and saved using the following code:
lrModel1 <- glm(response ~ .,data = modelData,family = binomial,model = TRUE)
save(lrModel1,file = "lrModel100.rda")
When I load the model for later use as follows and try to use the predict function on it as follows:
bar <- load("lrModel100.rda")
predicted <- predict(bar,validationData,type = "response")
I get the following error:
Error in UseMethod("predict") :
no applicable method for 'predict' applied to an object of class "character"
Is there a way to get the model object name from the saved RDA file and use it for prediction?
Thank you.
Ravi
As @droopy told you the model's name doesn't change if you save and load. You can use
get
to use the model:I have same problem before.
I used caret to build model, and save the model as a rds file.(saveRDS)
When I readRDS my file, and use this model to predict, I encountered this problem.
After I use "library(caret)", my problem is solved.
So I think if you save your model, and re-open your model to predict, you have to reload the package you used for building model.
If you have saved the model earlier it may throw this error. Reload the library(glmnet) and make sure that number of variables in X & Y are same.