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.^[4] Bindings and ports exist for programming languages such as Java, MATLAB, R, Julia, and Python. It is available in e1071 library in R and scikit-learn in Python.

Both libraries are free software released under the 3-clause BSD license.^[5][6]

See also

• Comparison of machine learning software

References

External links

• LIBSVM homepage
• LIBLINEAR homepage
• LIBLINEAR in R

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