1"""An illustrationo of how to use the workbench with models in python."""
2
3from ema_workbench import (
4 Model,
5 RealParameter,
6 ScalarOutcome,
7 ema_logging,
8 perform_experiments,
9)
10
11# Created on 20 dec. 2010
12#
13# .. codeauthor:: jhkwakkel <j.h.kwakkel (at) tudelft (dot) nl>
14
15
16def some_model(x1=None, x2=None, x3=None):
17 """Some model."""
18 return {"y": x1 * x2 + x3}
19
20
21if __name__ == "__main__":
22 ema_logging.LOG_FORMAT = "[%(name)s/%(levelname)s/%(processName)s] %(message)s"
23 ema_logging.log_to_stderr(ema_logging.INFO)
24
25 model = Model("simpleModel", function=some_model) # instantiate the model
26
27 # specify uncertainties
28 model.uncertainties = [
29 RealParameter("x1", 0.1, 10),
30 RealParameter("x2", -0.01, 0.01),
31 RealParameter("x3", -0.01, 0.01),
32 ]
33 # specify outcomes
34 model.outcomes = [ScalarOutcome("y")]
35
36 results = perform_experiments(model, 100)