LIBSVM

LIBSVM
Developer(s)	Chih-Chung Chang and Chih-Jen Lin
Stable release	3.25 / April 14, 2021; 9 months ago
Repository	github.com/cjlin1/libsvm ;
Written in	Java, C++
Operating system	Cross-platform
Type	Machine Learning
License	BSD
Website	www.csie.ntu.edu.tw/~cjlin/libsvm

LIBSVM and LIBLINEAR are two popular open source machine learning libraries, both developed at the National Taiwan University and both written in C++ though with a C API. LIBSVM implements the Sequential minimal optimization (SMO) algorithm for kernelized support vector machines (SVMs), supporting classification and regression.^[1] LIBLINEAR implements linear SVMs and logistic regression models trained using a coordinate descent algorithm.^[2]

The SVM learning code from both libraries is often reused in other open source machine learning toolkits, including GATE, KNIME, Orange^[3] and scikit-learn. Bindings and ports exist for programming languages such as Java, MATLAB, R, and Python.

Both libraries are free software released under the 3-clause BSD license.^[4]^[5]

References[]

^ Chang, Chih-Chung; Lin, Chih-Jen (2011). "LIBSVM: A library for support vector machines". ACM Transactions on Intelligent Systems and Technology. 2 (3). doi:10.1145/1961189.1961199.
^ R.-E. Fan; K.-W. Chang; C.-J. Hsieh; X.-R. Wang; C.-J. Lin (2008). "LIBLINEAR: A Library for Large Linear Classification". Journal of Machine Learning Research. 9: 1871–1874.
^ Janez Demšar; Tomaž Curk; Aleš Erjavec; Črt Gorup; Tomaž Hočevar; Mitar Milutinovič; Martin Možina; Matija Polajnar; Marko Toplak; Anže Starič; Miha Stajdohar; Lan Umek; Lan Žagar; Jure Žbontar; Marinka Žitnik; Blaž Zupan (2013). "Orange: data mining toolbox in Python" (PDF). Journal of Machine Learning Research. 14 (1): 2349–2353.
^ "COPYRIGHT". LIBSVM. National Taiwan University.
^ "COPYRIGHT". LIBLINEAR. National Taiwan University.

External links[]

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[1] Chang, Chih-Chung; Lin, Chih-Jen (2011). "LIBSVM: A library for support vector machines". ACM Transactions on Intelligent Systems and Technology. 2 (3). doi:10.1145/1961189.1961199.

[2] R.-E. Fan; K.-W. Chang; C.-J. Hsieh; X.-R. Wang; C.-J. Lin (2008). "LIBLINEAR: A Library for Large Linear Classification". Journal of Machine Learning Research. 9: 1871–1874.

[3] Janez Demšar; Tomaž Curk; Aleš Erjavec; Črt Gorup; Tomaž Hočevar; Mitar Milutinovič; Martin Možina; Matija Polajnar; Marko Toplak; Anže Starič; Miha Stajdohar; Lan Umek; Lan Žagar; Jure Žbontar; Marinka Žitnik; Blaž Zupan (2013). "Orange: data mining toolbox in Python" (PDF). Journal of Machine Learning Research. 14 (1): 2349–2353.

[4] "COPYRIGHT". LIBSVM. National Taiwan University.

[5] "COPYRIGHT". LIBLINEAR. National Taiwan University.

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