Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 5

Support Vector Machine Classifier

Support Vector Machine (SVM) is among popular classification algorithms. It belongs to a family of generalized linear classification problems. Because SVM covers binary classification problems only in the multi-class case, SVM must be used in conjunction with multi-class classifier methods.

SVM is a binary classifier. For a multi-class case, use Multi-Class Classifier framework of the library.

Note

For more information on the concepts behind the algorithm, see "Details" section.

For more information on the algorithm's parameters for a specific computation mode and examples of its usage, see "Batch Processing", "Online Processing" and "Distributed Processing" sections.

See Also