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.mat trained model linear svm to android

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Michalis Gelastos
Michalis Gelastos el 9 de Mzo. de 2021
Comentada: Michalis Gelastos el 18 de Abr. de 2021
Hello, i have trained my data using Linear SVM machine learning from classification learner app in Matlab. Then i exported the model and saved it using .mat extension. Now, i want to import this model into android studio, so i can make the predictions real time from the smartphone. Is there any simple way to do that?

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Sruthi Yenugula
Sruthi Yenugula el 17 de Mzo. de 2021

Más respuestas (1)

Sruthi Yenugula
Sruthi Yenugula el 7 de Abr. de 2021
Hi Michalis Gelastos,
We do not yet have an ECOC Simulink block. For ECOC models (and models for which we do not yet have Simulink blocks), you need to use a MATLAB Function block (or a System block, but MATLAB Function block is more efficient). Here’s an example that should apply to all models:
Our example in Human Activity Recognition demo also uses the MATLAB function block, so this makes me think that the issue is with the exported model from the app; the model exported from the Classification Learner App is not the model itself, but a struct that wraps the model. You can refer to this example to get the model:
So,you extract the model first (and underlying preprocessing code if there is any) and then go to MATLAB function block
  2 comentarios
Michalis Gelastos
Michalis Gelastos el 17 de Abr. de 2021
Editada: Michalis Gelastos el 17 de Abr. de 2021
I'm trying to save the model from the struct using saveLearnerForCoder and i'm getting this error "Categorical array class labels are not supported for code generation."
Michalis Gelastos
Michalis Gelastos el 18 de Abr. de 2021
I figured out that the results from the trained model were string, so i changed the to numbers and following your previous post, it worked! Thank you very match!

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