ParameterUncertainty((0.1,0.3),
"kk")]
#specification of the outcomes
outcomes = [Outcome("B4:B1076", time=True), #we can refer to a range in the normal way
Outcome("P_t", time=True)] # we can also use named range
#name of the sheet
sheet = "Sheet1"
#relative path to the Excel file
workbook = r'\excel example.xlsx'
if __name__ == "__main__":
ema_logging.log_to_stderr(level=ema_logging.INFO)
model = ExcelModel(r"./models/excelModel", "predatorPrey")
ensemble = ModelEnsemble()
ensemble.model_structure = model
ensemble.parallel = True #turn on parallel computing
pool = MultiprocessingPool(ensemble.model_structure,
nr_processes=2)
ensemble.pool = pool
#run 100 experiments
nr_experiments = 100
results = ensemble.perform_experiments(nr_experiments)
