Hello,
First thank you for this great package.
I am running GenericML functions in parallel on a Unix system, and I noticed that the requested cores remained so if I did not stopped my R session after use (on a shared rstudio-server). I was wondering whether they wasn't a parallel::stopCluster missing in the GenericML package code, and I found this line in the R/across-learner.R script:
## stop cluster (if applicable)
if(win) parallel::stopCluster(cl = cl)
So it seems that it is on purpose that stopCluster is not run on Unix system, only on windows (I am not familiar with the parallel package and its requirement).
I wonder whether there is a reason for not stopping the cluster on Unix system after the GenericML function call. I guess it is best practice to stop its R session when done, but in my specific case, it can be sometimes annoying, therefore the question.
Hello,
First thank you for this great package.
I am running
GenericMLfunctions in parallel on a Unix system, and I noticed that the requested cores remained so if I did not stopped my R session after use (on a shared rstudio-server). I was wondering whether they wasn't aparallel::stopClustermissing in theGenericMLpackage code, and I found this line in theR/across-learner.Rscript:So it seems that it is on purpose that stopCluster is not run on Unix system, only on windows (I am not familiar with the
parallelpackage and its requirement).I wonder whether there is a reason for not stopping the cluster on Unix system after the GenericML function call. I guess it is best practice to stop its R session when done, but in my specific case, it can be sometimes annoying, therefore the question.