raise EMAError(ema_workbench.util.ema_exceptions.EMAError: some fatal error has occurred while running the experiments, not all runs have completed. expected 100, got 0
when the code below is ran.
model = Model("simpleModel", function=some_model) # instantiate the model
# specify uncertainties
model.uncertainties = [
RealParameter("x1", 0.1, 10),
RealParameter("x2", -0.01, 0.01),
RealParameter("x3", -0.01, 0.01),
]
# specify outcomes
model.outcomes = [ScalarOutcome("y")]
with SequentialEvaluator(model) as evaluator:
results = evaluator.perform_experiments(scenarios=100, policies=1)
This error comes from the definition of policies=1 while no levers are defined. For clarity, this error message should be refined to return a useful error when sampling one or multiple policies with no levers defined, or one or multiple scenarios with no uncertainties defined.
The code below will now give an error
when the code below is ran.
This error comes from the definition of
policies=1while no levers are defined. For clarity, this error message should be refined to return a useful error when sampling one or multiple policies with no levers defined, or one or multiple scenarios with no uncertainties defined.