The mission of ThunderSVM is to help users easily and efficiently apply SVMs to solve problems. Some key features of ThunderSVM are as follows.
- Support one-class SVMs, binary and multi-class SVM classification (SVC), SVM regression (SVR), and SVMs with probability outputs.
- Have Python, R and Matlab interfaces.
