tinysvm ☆
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Description:
Support vector machine library for pattern recognition
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: machine-learning svm library c++ classification
Install: brew install tinysvm
About:
TinySVM is a lightweight, high-performance implementation of Support Vector Machines (SVM) for pattern recognition and classification tasks. It provides a compact library and tools for training and predicting with SVM models, optimized for speed and efficiency. This makes it suitable for embedded systems or applications requiring fast text classification and general machine learning capabilities.
Key Features:
  • Compact and lightweight C++ library
  • Fast training and prediction speeds
  • Supports various kernel functions (linear, polynomial, RBF)
  • Includes command-line tools for model management
Use Cases:
  • Text categorization and spam filtering
  • Image recognition and classification
  • Bioinformatics pattern analysis
Alternatives:
  • libsvm – Libsvm is the industry standard, while TinySVM focuses on being more lightweight and faster for specific use cases.
  • scikit-learn – Scikit-learn is a Python library offering a broader ML ecosystem, whereas TinySVM is a dedicated C++ SVM implementation.
Version History
Detected Version Rev Change Commit
Sep 11, 2025 11:38am 0 VERSION_BUMP a42d8a82
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