CMSIS-DSP  Version 1.10.0
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SVM Functions

Content

 Linear SVM
 
 Polynomial SVM
 
 RBF SVM
 
 Sigmoid SVM
 

Description

This set of functions is implementing SVM classification on 2 classes. The training must be done from scikit-learn. The parameters can be easily generated from the scikit-learn object. Some examples are given in DSP/Testing/PatternGeneration/SVM.py

If more than 2 classes are needed, the functions in this folder will have to be used, as building blocks, to do multi-class classification.

No multi-class classification is provided in this SVM folder.