.NET 6.0
There is a newer version of this package available.
See the version list below for details.
dotnet add package ai.scikitlearn4net --version
NuGet\Install-Package ai.scikitlearn4net -Version
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="ai.scikitlearn4net" Version="" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ai.scikitlearn4net --version
#r "nuget: ai.scikitlearn4net,"
#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 ai.scikitlearn4net as a Cake Addin
#addin nuget:?package=ai.scikitlearn4net&version=

// Install ai.scikitlearn4net as a Cake Tool
#tool nuget:?package=ai.scikitlearn4net&version=

Working with Python and the Machine Learning and Data Science ecosystem is fun, but when it comes to deployment, you may not want to have to use Python. The goal of this repository (and its siblings) is to address this need; you can experiment and train models in the rich Python ecosystem, but deploy your models in other languages and platforms. scikit-learn4x is a free an open source library that allows you to deploy scikit-learn model in other programming languages. As such, the training codes are not included in this repository (the fit methods), only the inference of models is supported (the predict, predict_proba and predict_log_proba).

This package is the code for the .NET (scikit-learn 4 .NET). You can also use scikit-learn for JVM to deploy in Java and other JVM based languages.

Product Versions
.NET net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
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Learn more about Target Frameworks and .NET Standard.
  • net6.0

    • No dependencies.

NuGet packages

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Version Downloads Last updated
0.0.4 215 6/29/2022
0.0.3 159 6/15/2022 164 5/31/2022

Initial build.