LIBSVM
Machine learning programming library
From Wikipedia, the free encyclopedia
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]
| LIBSVM | |
|---|---|
| Developers | Chih-Chung Chang and Chih-Jen Lin |
| Stable release | 3.3
/ August 11, 2022 |
| Written in | Java, C++ |
| Operating system | Cross-platform |
| Type | Machine Learning |
| License | BSD |
| Website | www |
| Repository | |
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]
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