How to export a Classification Learner model into a Simulink block
4 次查看(过去 30 天)
显示 更早的评论
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 个评论
回答(1 个)
Sean de Wolski
2020-6-9
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.
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Classification Learner App 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!