1"""
2Created on 20 dec. 2010
3
4This file illustrated the use the EMA classes for a contrived example
5It's main purpose has been to test the parallel processing functionality
6
7.. codeauthor:: jhkwakkel <j.h.kwakkel (at) tudelft (dot) nl>
8"""
9
10from ema_workbench import Model, RealParameter, ScalarOutcome, ema_logging, perform_experiments
11
12
13def some_model(x1=None, x2=None, x3=None):
14 return {"y": x1 * x2 + x3}
15
16
17if __name__ == "__main__":
18 ema_logging.LOG_FORMAT = "[%(name)s/%(levelname)s/%(processName)s] %(message)s"
19 ema_logging.log_to_stderr(ema_logging.INFO)
20
21 model = Model("simpleModel", function=some_model) # instantiate the model
22
23 # specify uncertainties
24 model.uncertainties = [
25 RealParameter("x1", 0.1, 10),
26 RealParameter("x2", -0.01, 0.01),
27 RealParameter("x3", -0.01, 0.01),
28 ]
29 # specify outcomes
30 model.outcomes = [ScalarOutcome("y")]
31
32 results = perform_experiments(model, 100)