PyModalSplitPlugin.ModalSplitExperiment¶
- class ModalSplitExperiment¶
-
Synopsis¶
Methods¶
def
__init__()def
getFunction()def
getOutput()def
setFunction()def
setOutput()
Note
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Detailed Description¶
A Modal Split Experiment. It holds variables that affect the internal models. They can be changed to calibrate a model.
An Experiment belongs to one, and only one, Scenario.
- __init__()¶
- getFunction()¶
- Return type:
GKFunctionCost
Get the Discrete Choice function in the Modal Split experiment.
- getModalSplitScenario()¶
- Return type:
Get the Scenario to which the Modal Split experiment belongs.
- getOutput()¶
- Return type:
Get the output data of the Modal Split experiment.
- setFunction(f)¶
- Parameters:
f –
GKFunctionCost
Set the Discrete Choice function in the Modal Split experiment.
- setOutput(output)¶
- Parameters:
output –
ModalSplitOutput