LIBTwinSVM: A Library for Twin Support Vector Machines

• URL: http://arxiv.org/abs/2001.10073v1
• Date: Mon, 27 Jan 2020 20:40:37 GMT
• Title: LIBTwinSVM: A Library for Twin Support Vector Machines
• Authors: Amir M. Mir, Mahdi Rahbar, Jalal A. Nasiri
• Abstract summary: LIBTwinSVM is 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)
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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, documentation, and usage examples are available at https://github.com/mir-am/LIBTwinSVM.

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