Developer(s) | Chih-Chung Chang and Chih-Jen Lin |
---|---|
Stable release | 3.3
/ August 11, 2022 |
Repository | |
Written in | Java, C++ |
Operating system | Cross-platform |
Type | Machine Learning |
License | BSD |
Website |
www |
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]
Developer(s) | Chih-Chung Chang and Chih-Jen Lin |
---|---|
Stable release | 3.3
/ August 11, 2022 |
Repository | |
Written in | Java, C++ |
Operating system | Cross-platform |
Type | Machine Learning |
License | BSD |
Website |
www |
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]