SVM Functions

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. More...

Modules
	Linear SVM
	Linear SVM classifier.
	Polynomial SVM
	Polynomial SVM classifier.
	RBF SVM
	RBF SVM classifier.
	Sigmoid SVM
	Sigmoid SVM classifier.

Detailed 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.