Load ML trained model objects in Simulink data dictionary

27 views (last 30 days)
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.

Answers (2)

Aditya
Aditya on 21 Nov 2024 at 9:30
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!
  1 Comment
Davide Galli
Davide Galli on 22 Nov 2024 at 9:43
Hi Aditya,
thank you for your answer. It is clear to me how to load trained model objects in order to use them in Simulink with the proper blockset. I was asking about the possibility to load them in Simulink data dictionary. Is this explained somewhere in the link attached in your answer? I am not able to find nothing about this.

Sign in to comment.


Jaimin
Jaimin about 20 hours ago
Edited: Jaimin about 20 hours ago
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:
  1. 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.matfile using thesavefunction.
  2. Open your Simulink model, access the Simulink Data Dictionary, and import the .mat file with your trained model.
  3. 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.
  4. 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.

Categories

Find more on Manage Design Data in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!