Microsoft.ML
2.0.1
.NET Standard 2.0
There is a newer prerelease version of this package available.
See the version list below for details.
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
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#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
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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 | Versions 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.
-
.NETStandard 2.0
- Microsoft.ML.CpuMath (>= 2.0.1)
- Microsoft.ML.DataView (>= 2.0.1)
- Newtonsoft.Json (>= 13.0.1)
- System.CodeDom (>= 4.5.0)
- System.Collections.Immutable (>= 1.5.0)
- System.Memory (>= 4.5.3)
- System.Reflection.Emit.Lightweight (>= 4.3.0)
- System.Threading.Channels (>= 4.7.1)
NuGet packages (91)
Showing the top 5 NuGet packages that depend on Microsoft.ML:
Package | Downloads |
---|---|
Microsoft.ML.LightGbm
ML.NET component for LightGBM |
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Microsoft.ML.FastTree
ML.NET component for FastTree |
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Microsoft.ML.ImageAnalytics
ML.NET component for Image support |
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Microsoft.ML.TensorFlow
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow. |
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Microsoft.ML.Mkl.Components
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.
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dotnet/samples
Sample code referenced by the .NET documentation
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dotnet/spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
|
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dotnet/corefxlab
This repo is for experimentation and exploring new ideas that may or may not make it into the main corefx repo.
|
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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.
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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 |