How to export a Classification Learner model into a Simulink block
24 views (last 30 days)
Show older comments
In my Simulink model, I want a block which can classify 5 input signals into 7 class. I use the Classification Learner App and trained in fine KNN, but I don‘t know how export the training result into a Simulink block that I can use in my model. Just like when I train a neural network and use 'gensim' to obtain a Simulink block.
0 Comments
Answers (1)
Sean de Wolski
on 9 Jun 2020
I find it's easier to generate the code from the classification learner, copy out just the fit*() algorithm and retrain it to a model. Then save that model and then put that into a Simulink function like in this example: https://www.mathworks.com/help/stats/predict-class-labels-using-matlab-function-block.html
The output from classification learner directly is hard to use otherwise.
1 Comment
See Also
Categories
Find more on Deep Learning Toolbox 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!