![]() This object then gives you access to templates for the inputs/outputs of the model in addition to methods for creating new model runs, which can then be interacted with.įor more, see the documentation page, download the provided examples, or post in the Discussions tab. In your Python code, you will create a single Client object, passing a reference to where your exported model is located, in addition to setting other options. The API and overall workflow for Alpyne is intentionally similar to the AnyLogic Cloud. If you do not see an option for Alpyne or generic 3rd parties, you may use the one for "Microsoft Bonsai". ![]() To export the model, navigate to the properties of your RL experiment and click the option at the top to export it. Both in its breadth (it can model in all major methods) and its capabilities (drag-and-drop ease, but Java extensibility and customization) AnyLogic shines.
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