Parallelising ensemble function

[LeaDambly]

Hi,

I was wondering if it was possible to parallelise some parts of the ensemble function? I have a very large, fine-grain area and many different models that I'd like to ensemble, so run-times are very long. The function itself seems to call the predict function, which already has the nc argument to add parallelisation. Would it be possible to add this as a useable argument to the ensemble function as well, so it gets passed on to the predict call within the function? Right now I get the "At least one argument in setting is unknown" error if I try to add nc as an argument.

Best wishes,
Lea