MATLAB Answers

How to export a Classification Learner model into a Simulink block

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JiFeng Zhang
JiFeng Zhang on 9 Jun 2020
Commented: Vishal Sharma on 24 Jul 2020 at 12:31
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.

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Answers (1)

Sean de Wolski
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.