Load ML trained model objects in Simulink data dictionary
4 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Hi,
is there a way to load some ML learning trained regression/classification model objects in Simulink data dictionary, in order to call them in Simulink using the dedicated "Predict" block?
Thank you in advance.
0 comentarios
Respuestas (2)
Aditya
el 21 de Nov. de 2024
Hi Davide,
You can refer to the following MATLAB Answers post, as it closely matches your use case:
The post includes several examples demonstrating how to achieve the desired behavior in MATLAB.
Hope it helps!
Jaimin
el 26 de Nov. de 2024
Editada: Jaimin
el 26 de Nov. de 2024
You can import trained machine learning models into a Simulink data dictionary and utilize them with the “Predict” block in Simulink. Here is a general workflow to accomplish this:
- Train your regression or classification model in MATLAB using the appropriate toolbox, such as the Statistics and Machine Learning Toolbox or the Deep Learning Toolbox, and save the trained model object to a“.mat”file using the“save”function.
- Open your Simulink model, access the Simulink Data Dictionary, and import the “.mat” file with your trained model.
- Add the "Predict" block from the Simulink library to your model and configure it to use the loaded model by selecting it from the data dictionary.
- Connect inputs to the “Predict” block according to your model's requirements.
For more information kindly refer following MathWorks Documentation.
I hope this will be helpful.
Ver también
Categorías
Más información sobre Predictive Maintenance Toolbox en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!