Hi @RHG
I think the fix in your case should be quite simple 
So for R notebooks what you can do to use anything other than a .RData
file is to just make sure you save the object inside the saved_objects/
directory.
So if your two models are: trained_model_Freq.rds
and trained_model_Sev.rds
then in your load_model
and save_model
you should have something like:
save_model <- function(freq_lgb, sev_lgb){
lgb.save(freq_lgb, 'saved_objects/trained_model_Freq.rds')
lgb.save(freq_lgb, 'saved_objects/trained_model_Sev.rds')
}
load_model <- function(){
freq_lgb = lgb.load(file = 'saved_objects/trained_model_Freq.rds')
sev_lgb = lgb.load(file = 'saved_objects/trained_model_Sev.rds')
model = c('frequency' = freq_lgb, 'severity' = sev_lgb)
return(model)
}
Thatās basically the gist of it. We then take everything inside saved_objects/
and push it to the server. This directory is created when you setup the notebook and run the AIcrowd cell at the beginning.
Hope that makes it work, if not then we can continue the discussion 