question on ensemble models R

I would like to have an opinion on a recurrent issue i encounter with machine learning.
Regularly when i call the source code it fails with the following message:
"
Error in summary.connexion(connexion) : incorrect connexion :

"

I would like to have an opinion on a recurrent issue i encounter with machine learning.
3 questions please:

  • what is the best library to run ensemble model?
  • what is the difference between an ensemble model based on workflow_set(preproc, models, cross = TRUE)
    and
    Ensemble_stacks -> blend_predictions() -> fit_members() approach.?
  • when i call an ensemble model do i have do run parallel computing? I ask so because it seems that when
    I run a doparallel library once i receive error message after like (! tune detected a parallel backend registered with foreach but no
    backend registered with future. i Support for parallel processing with foreach was soft-deprecated in
    tune 1.2.1. i See ?parallelism (?tune::parallelism()) to learn more. )

Thank you,