arXiv (Cornell University)
LIBTwinSVM: A Library for Twin Support Vector Machines
January 2020 • Amir M. Mir, Mahdi Rahbar, Jalal A. Nasiri
This paper presents LIBTwinSVM, a free, efficient, and open source library for Twin Support Vector Machines (TSVMs). Our library provides a set of useful functionalities such as fast TSVMs estimators, model selection, visualization, a graphical user interface (GUI) application, and a Python application programming interface (API). The benchmarks results indicate the effectiveness of the LIBTwinSVM library for large-scale classification problems. The source code of LIBTwinSVM library, installation guide, documentat…