Microsoft.ML 2.0.1

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
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Microsoft.ML --version 2.0.1
NuGet\Install-Package Microsoft.ML -Version 2.0.1
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" Version="2.0.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML --version 2.0.1
#r "nuget: Microsoft.ML, 2.0.1"
#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 as a Cake Addin
#addin nuget:?package=Microsoft.ML&version=2.0.1

// Install Microsoft.ML as a Cake Tool
#tool nuget:?package=Microsoft.ML&version=2.0.1

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

For more information, see the ML.NET documentation.

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 (91)

Showing the top 5 NuGet packages that depend on Microsoft.ML:

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

ML.NET component for LightGBM

Microsoft.ML.FastTree The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

ML.NET component for FastTree

Microsoft.ML.ImageAnalytics The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

ML.NET component for Image support

Microsoft.ML.TensorFlow The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.

Microsoft.ML.Mkl.Components The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

ML.NET additional learners making use of Intel Mkl.

GitHub repositories (25)

Showing the top 5 popular GitHub repositories that depend on Microsoft.ML:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
dotnet/samples
Sample code referenced by the .NET documentation
dotnet/spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
dotnet/corefxlab
This repo is for experimentation and exploring new ideas that may or may not make it into the main corefx repo.
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection, and face-recognition.
Version Downloads Last updated
3.0.0-preview.23266.6 793 5/17/2023
3.0.0-preview.22621.2 6,579 12/22/2022
2.0.1 100,001 2/1/2023
2.0.1-preview.22573.9 1,766 11/24/2022
2.0.0 117,402 11/8/2022
2.0.0-preview.22551.1 304 11/1/2022
2.0.0-preview.22313.1 10,847 6/14/2022
2.0.0-preview.22310.1 280 6/11/2022
1.7.1 777,539 3/9/2022
1.7.0 326,729 11/9/2021
1.7.0-preview.final 1,132 10/22/2021
1.6.0 413,621 7/15/2021
1.5.5 359,853 3/4/2021
1.5.4 111,068 12/17/2020
1.5.2 281,626 9/11/2020
1.5.1 78,281 7/11/2020
1.5.0 124,063 5/27/2020
1.5.0-preview2 58,260 3/12/2020
1.5.0-preview 65,627 12/26/2019
1.4.0 432,132 11/5/2019
1.4.0-preview2 26,626 10/8/2019
1.4.0-preview 67,012 8/30/2019
1.3.1 146,454 8/6/2019
1.2.0 73,241 7/3/2019
1.1.0 35,064 6/4/2019
1.0.0 147,180 5/2/2019
1.0.0-preview 19,555 4/2/2019
0.11.0 35,660 3/5/2019
0.10.0 40,769 2/5/2019
0.9.0 31,997 1/8/2019
0.8.0 19,843 12/4/2018
0.7.0 31,036 11/6/2018
0.6.0 17,692 10/2/2018
0.5.0 8,712 9/5/2018
0.4.0 66,846 8/7/2018
0.3.0 16,029 7/3/2018
0.2.0 7,418 6/5/2018
0.1.0 19,720 5/7/2018