Microsoft.ML.Probabilistic.Compiler 0.4.2301.301

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved
.NET Standard 2.0
dotnet add package Microsoft.ML.Probabilistic.Compiler --version 0.4.2301.301
NuGet\Install-Package Microsoft.ML.Probabilistic.Compiler -Version 0.4.2301.301
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="Microsoft.ML.Probabilistic.Compiler" Version="0.4.2301.301" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.Probabilistic.Compiler --version 0.4.2301.301
#r "nuget: Microsoft.ML.Probabilistic.Compiler, 0.4.2301.301"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.ML.Probabilistic.Compiler as a Cake Addin
#addin nuget:?package=Microsoft.ML.Probabilistic.Compiler&version=0.4.2301.301

// Install Microsoft.ML.Probabilistic.Compiler as a Cake Tool
#tool nuget:?package=Microsoft.ML.Probabilistic.Compiler&version=0.4.2301.301

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains the Infer.NET Compiler, which takes model descriptions written using the Infer.NET API and converts them into inference code.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on Microsoft.ML.Probabilistic.Compiler:

Package Downloads
Microsoft.ML.Probabilistic.Visualizers.Windows The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains visualization tools for exploring and analyzing models on Windows platform.

Microsoft.ML.Probabilistic.Compiler.Visualizers.Windows The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains visualization tools for exploring and analyzing models on Windows platform.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Microsoft.ML.Probabilistic.Compiler:

Repository Stars
dotnet/mbmlbook
Sample code for the Model-Based Machine Learning book.
Version Downloads Last updated
0.4.2301.301 1,091 1/3/2023
0.4.2203.202 2,207 3/3/2022
0.3.2102.1701 1,699 2/17/2021
0.3.1912.403 7,797 12/4/2019
0.3.1810.501 25,587 10/5/2018