Support Vector Machine (LibSVM)


Synopsis

This operators is an SVM Learner based on the Java libsvm, an SVM learner.


Description

Applies the <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">libsvm</a> learner by Chih-Chung Chang and Chih-Jen Lin. The SVM is a powerful method for both classification and regression. This operator supports the SVM types C-SVC and nu-SVC for classification tasks as well as epsilon-SVR and nu-SVR for regression tasks. Additionally one-class gives the possibility to learn from just one class of examples and lateron test if new examples match the knowing ones.

In contrast to other SVM learners, the libsvm supports also internal multiclass learning and probability estimation based on Platt scaling for proper confidence values after applying the learned model on a classification data set.


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ExampleProcess