How to reduce the size of GBM trained model

[karansehgal1988]

How to reduce the size of the trained gbm model using Caret package in R Language. I have trained my model on 9 variables and 44500 observations and model size is almost 6.7GB. How can we reduce the size of this model?

[nirgrahamuk]

assuming your model has some name like gbmFit1 find out what parts of the object take up space

library(tidyverse)
library(lobstr)
imap_dfr(gbmFit1,~tibble(size=obj_size(.x),name=.y)) %>% arrange(desc(size)) %>% print(n=Inf)

if its for example trainingData, and you want to throw it out ..

gbmFit2 <- gbmFit1
gbmFit2$trainingData <- NULL
# test if still work as a model post our excision
predict(gbmFit2,newdata = testing)