Content | |
Linear SVM | |
Polynomial SVM | |
RBF SVM | |
Sigmoid SVM | |
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.