NuGet Package Liblinear

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.

Info

Version: 1.92
Author(s): Anton Shelin
Last Update: Tuesday, September 24, 2013
.NET Fiddle: Create the first Fiddle
Project Url: http://www.csie.ntu.edu.tw/~cjlin/liblinear/
NuGet Url: https://www.nuget.org/packages/Liblinear


Install
Install-Package Liblinear
dotnet add package Liblinear
paket add Liblinear
Liblinear Download (Unzip the "nupkg" after downloading)



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