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.
#r "nuget: Liblinear, 1.92.0"
For F# scripts that support #r syntax, copy this into the source code to reference the package.

    • IKVM (>= 7.3.4830)

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
1.92.0 1,321 9/24/2013