Machine learning library for .Net and Mono.
Currently has Linear Regression, Logistic Regression, Ridge Regression/Classifier, Svm classifier.
Initially it is port of popular Scikit-learn machine learning python library and has very close design.
Sharpkit.Learn is based on the state of the art algorithm implementations and uses liblinear, libsvm, Math.Net
etc. Various BLAS providers like MKL can be used to speed up the computation. Both dense and sparse matrices
Install-Package Sharpkit.Learn -Version 0.2.0
dotnet add package Sharpkit.Learn --version 0.2.0
<PackageReference Include="Sharpkit.Learn" Version="0.2.0" />
paket add Sharpkit.Learn --version 0.2.0
#r "nuget: Sharpkit.Learn, 0.2.0"
// Install Sharpkit.Learn as a Cake Addin #addin nuget:?package=Sharpkit.Learn&version=0.2.0 // Install Sharpkit.Learn as a Cake Tool #tool nuget:?package=Sharpkit.Learn&version=0.2.0
Alpha version of the library.
- MathNet.Numerics (>= 2.6.1)
This package is not used by any NuGet packages.
This package is not used by any popular GitHub repositories.