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-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" />
paket add Liblinear --version 1.92.0
#r "nuget: Liblinear, 1.92.0"
// Install Liblinear as a Cake Addin #addin nuget:?package=Liblinear&version=1.92.0 // Install Liblinear as a Cake Tool #tool nuget:?package=Liblinear&version=1.92.0
- IKVM (>= 7.3.4830)
This package is not used by any NuGet packages.
This package is not used by any popular GitHub repositories.