Liblinear 1.92.0

.NET Framework

dotnet add package Liblinear --version 1.92.0

NuGet\Install-Package Liblinear -Version 1.92.0

This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.

<PackageReference Include="Liblinear" Version="1.92.0" />

For projects that support PackageReference, copy this XML node into the project file to reference the package.

<PackageVersion Include="Liblinear" Version="1.92.0" />
                    

                            Directory.Packages.props

<PackageReference Include="Liblinear" />
                    

                            Project file

For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version 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"

#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.

#:package Liblinear@1.92.0

#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.

#addin nuget:?package=Liblinear&version=1.92.0
                    

                            Install as a Cake Addin

#tool nuget:?package=Liblinear&version=1.92.0
                    

                            Install as a Cake Tool

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

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

Product	Compatible and additional computed target framework versions.
.NET Framework	net is compatible.

Compatible target framework(s)

Included target framework(s) (in package)

Learn more about Target Frameworks and .NET Standard.

- 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	Downloads	Last Updated
1.92.0	2,335	9/24/2013