libsvm ☆
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Description:
Library for support vector machines
Type: Formula  |  Latest Version: 3.36@0  |  Tracked Since: Nov 13, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: machine-learning svm classification regression c-plus-plus library
Install: brew install libsvm
About:
LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification and provides a simple command-line interface as well as bindings for various programming languages.
Key Features:
  • Supports C-SVC, nu-SVC, epsilon-SVR, nu-SVR, and one-class SVM
  • Efficient C++ implementation with multi-class classification
  • Bindings for Python, R, Java, MATLAB, and more
  • Simple command-line interface for quick model training and prediction
Use Cases:
  • Text categorization and sentiment analysis
  • Image recognition and computer vision tasks
  • Bioinformatics and medical data classification
  • Financial time series prediction and risk analysis
Alternatives:
  • scikit-learn – Higher-level Python library with SVM via libsvm wrapper; easier integration in ML pipelines
  • Shogun – Broad machine learning toolbox with multiple SVM implementations and kernel methods
Version History
Detected Version Rev Change Commit
Nov 13, 2025 11:44am 0 VERSION_BUMP 57aae138
Sep 16, 2025 10:23am 0 VERSION_BUMP ff5a54ec
Sep 13, 2024 1:17pm 0 VERSION_BUMP 8e184457
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