Microsoft.ML.Probabilistic 0.4.2403.801

Prefix Reserved
dotnet add package Microsoft.ML.Probabilistic --version 0.4.2403.801                
NuGet\Install-Package Microsoft.ML.Probabilistic -Version 0.4.2403.801                
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" Version="0.4.2403.801" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.Probabilistic --version 0.4.2403.801                
#r "nuget: Microsoft.ML.Probabilistic, 0.4.2403.801"                
#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 as a Cake Addin
#addin nuget:?package=Microsoft.ML.Probabilistic&version=0.4.2403.801

// Install Microsoft.ML.Probabilistic as a Cake Tool
#tool nuget:?package=Microsoft.ML.Probabilistic&version=0.4.2403.801                

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains classes and methods needed to execute the 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.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-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)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • .NETStandard 2.0

    • No dependencies.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on Microsoft.ML.Probabilistic:

Package Downloads
Microsoft.ML.Probabilistic.Compiler

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.

Microsoft.ML.Probabilistic.Learners

Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains complete machine learning applications including a classifier and a recommender system.

Obliviate

A collection of algorithms to model memory and retention. Useful for quiz and review apps based on spaced repetition.

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on Microsoft.ML.Probabilistic:

Repository Stars
CodeMazeBlog/CodeMazeGuides
The main repository for all the Code Maze guides
dotnet/mbmlbook
Sample code for the Model-Based Machine Learning book.
Version Downloads Last updated
0.4.2403.801 28,098 3/8/2024
0.4.2402.2904 436 3/6/2024
0.4.2301.301 9,965 1/3/2023
0.4.2203.202 4,215 3/3/2022
0.3.2102.1701 4,147 2/17/2021
0.3.1912.403 45,474 12/4/2019
0.3.1810.501 55,359 10/5/2018