futures_multiprocessing

support for using the multiprocessing library in combination with the workbench

class ema_workbench.em_framework.futures_multiprocessing.MultiprocessingEvaluator(msis, n_processes=None, maxtasksperchild=None, **kwargs)

evaluator for experiments using a multiprocessing pool

Parameters:

  • msis (collection of models)

  • n_processes (int (optional)) – A negative number can be inputted to use the number of logical cores minus the negative cores. For example, on a 12 thread processor, -2 results in using 10 threads.

  • max_tasks (int (optional))

note that the maximum number of available processes is either multiprocessing.cpu_count() and in case of windows, this never can be higher then 61

evaluate_experiments(scenarios, policies, callback, combine='factorial')

used by ema_workbench

finalize()

finalize the evaluator

initialize()

initialize the evaluator