Testing or embedding ML models
In this scenario, trained ML models are used from within simulated environments. In other words, an ML model is first trained outside of the AnyLogic ecosystem. Then, to evaluate or utilize its predictive abilities, it can be included as part of the simulation model.
Testing or embedding ML models requires a connection between a trained ML model and the simulation model during runtime. AnyLogic provides multiple connection options, regardless of the language it was trained in and for both local and remote connections.