How to export a Classification Learner model into a Simulink block

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.

Answer 1

[Sean de Wolski]

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.

[Vishal Sharma]

Hi,

Can you suggest any other method to do this.