Sharpkit.Learn 0.2.0

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
   are supported.

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" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Sharpkit.Learn --version 0.2.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: Sharpkit.Learn, 0.2.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package. 
// 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
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

Alpha version of the library.

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
0.2.0 2,358 9/27/2013
0.1.0 767 9/3/2013