Liblinear 1.92.0

Sample how to use: https://gist.github.com/hodzanassredin/6682771
LIBLINEAR is a linear classifier for data with millions of instances and features. It supports

   L2-regularized classifiers
   L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR)
   L1-regularized classifiers (after version 1.4)
   L2-loss linear SVM and logistic regression (LR)
   L2-regularized support vector regression (after version 1.9)
   L2-loss linear SVR and L1-loss linear SVR.

Main features of LIBLINEAR include

   Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
   Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
   Cross validation for model selection
   Probability estimates (logistic regression only)
   Weights for unbalanced data
   MATLAB/Octave, Java, Python, Ruby interfaces

Install-Package Liblinear -Version 1.92.0
dotnet add package Liblinear --version 1.92.0
<PackageReference Include="Liblinear" Version="1.92.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Liblinear --version 1.92.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

    • IKVM (>= 7.3.4830)

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Version History

Version Downloads Last updated
1.92.0 1,011 9/24/2013