dotnet add package Sharpkit.Learn --version 0.2.0
NuGet\Install-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
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
|Product||Versions Compatible and additional computed target framework versions.|
|.NET Framework||net40 is compatible. net403 was computed. net45 was computed. net451 was computed. net452 was computed. net46 was computed. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed.|
- MathNet.Numerics (>= 2.6.1)
This package is not used by any NuGet packages.
This package is not used by any popular GitHub repositories.
Alpha version of the library.