Support Vector Machines
Algorithm::LibSVM provides Raku bindings for the LibSVM support vector machine library.
About Support Vector Machines
Algorithm::LibSVM provides Raku bindings for the libsvm support vector machine library. It can train SVM models, run n-fold cross-validation, load libsvm-format data and saved models, and evaluate predictions for accuracy, mean squared error, and squared correlation coefficient. It also includes a helper to parse libsvm-format text and a method to return the maximum feature index. The documentation cautions against using a precomputed kernel and marks the load-problem method as deprecated.
Key features
- Train SVM models from problem and parameter objects
- Conduct n-fold cross-validation and return predicted values
- Load saved libsvm models from files
- Evaluate predictions using accuracy, MSE, and squared correlation
- Return maximum index of all features
- Parse libsvm-format text with helper routine
Best for: Raku developers who need to train and evaluate support vector machine models with libsvm.
Good for
- Provides Raku interface for libsvm training and cross-validation
- Includes evaluation for accuracy, mean squared error, and squared correlation
- Released as free software under the MIT License
Watch out for
- Documentation cautions against using a precomputed kernel
- load-problem method is marked as deprecated
Support Vector Machines at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
Support Vector Machines alternatives
Tools and sites you could use instead, ranked by how closely they match.
crystal-fann provides Crystal language bindings for the FANN artificial neural network library.
Open source
24 alternatives
Chips-n-Salsa provides Java implementations of customizable stochastic and adaptive local search algorithms.
Open source
24 alternatives
Reinforcement learning algorithms can be evaluated with Gym4ReaL, a Gymnasium-based suite of realistic environments.
Open source
24 alternatives
DSPy is a framework for programming language models, with algorithms to optimize prompts and model weights.
Open source
24 alternatives
CluGen implements an algorithm for generating multidimensional clusters in Julia.
Open source
24 alternatives
pyclugen implements the multidimensional cluster generation algorithm in Python.
Open source
24 alternativesPopular in Developer Tools
Well-known listings from the same topic.
AppDevToolsappdevtools.comCommand Not Foundcommand-not-found.comTestFlighttestflight.apple.com/join/A8GwCnq8Sourcegraphabout.sourcegraph.comProject Wallaceprojectwallace.comCarbon Calculatorwebsitecarbon.com
Support Vector Machines FAQ
What metrics does evaluate() report?
Accuracy, mean squared error, and squared correlation coefficient.
Can I use a precomputed kernel?
No. The documentation states "DON'T USE PRECOMPUTED KERNEL" due to workaround patches that increase complexity.
How is libsvm-format data handled?
Through Problem loading methods and the parse-libsvmformat helper routine for libsvm-format text.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.