Microsoft.ML.AutoML
0.21.0
Prefix Reserved
.NET Standard 2.0
dotnet add package Microsoft.ML.AutoML --version 0.21.0
NuGet\Install-Package Microsoft.ML.AutoML -Version 0.21.0
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.AutoML" Version="0.21.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.AutoML --version 0.21.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.AutoML, 0.21.0"
#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.AutoML as a Cake Addin
#addin nuget:?package=Microsoft.ML.AutoML&version=0.21.0
// Install Microsoft.ML.AutoML as a Cake Tool
#tool nuget:?package=Microsoft.ML.AutoML&version=0.21.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters
| 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. net8.0 was computed. net8.0-android 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)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.
-
.NETStandard 2.0
- Microsoft.CodeAnalysis.CSharp (>= 3.9.0)
- Microsoft.Extensions.DependencyInjection (>= 6.0.0)
- Microsoft.ML (>= 3.0.0)
- Microsoft.ML.CpuMath (>= 3.0.0)
- Microsoft.ML.DnnImageFeaturizer.AlexNet (>= 0.21.0)
- Microsoft.ML.DnnImageFeaturizer.ResNet101 (>= 0.21.0)
- Microsoft.ML.DnnImageFeaturizer.ResNet18 (>= 0.21.0)
- Microsoft.ML.DnnImageFeaturizer.ResNet50 (>= 0.21.0)
- Microsoft.ML.ImageAnalytics (>= 3.0.0)
- Microsoft.ML.LightGbm (>= 3.0.0)
- Microsoft.ML.Mkl.Components (>= 3.0.0)
- Microsoft.ML.OnnxTransformer (>= 3.0.0)
- Microsoft.ML.Recommender (>= 0.21.0)
- Microsoft.ML.TimeSeries (>= 3.0.0)
- Microsoft.ML.TorchSharp (>= 0.21.0)
- Microsoft.ML.Vision (>= 3.0.0)
NuGet packages (8)
Showing the top 5 NuGet packages that depend on Microsoft.ML.AutoML:
| Package | Downloads |
|---|---|
|
FenixAlliance.ACL.Dependencies
Application Component for the Alliance Business Suite. |
|
|
Microsoft.ML.CodeGenerator
ML.NET Code Generator |
|
|
dexih.functions.ml
Data transformation and Anaytics library - Machine Learning Functions |
|
|
FonsecaFramework.Ai
Package Description |
|
|
EasyML
EasyML is a component to train a machine learning system and use it to get predictions with just a few lines of code. The objective of this project is to facilitate the use of ML algorithms in any project by any developer with no knowledge about ML. It is basically a wrapper to allow devs to focus only in get advantage from this technology as fast as possible instead of getting lost themselves in the implementation details. |
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on Microsoft.ML.AutoML:
| Repository | Stars |
|---|---|
|
jeffprosise/ML.NET
Code samples utilizing Microsoft's ML.NET machine-learning library
|
| Version | Downloads | Last updated |
|---|---|---|
| 0.21.0 | 270 | 11/27/2023 |
| 0.21.0-preview.23511.1 | 393 | 10/13/2023 |
| 0.21.0-preview.23266.6 | 3,757 | 5/17/2023 |
| 0.21.0-preview.22621.2 | 1,023 | 12/22/2022 |
| 0.20.1 | 34,052 | 2/1/2023 |
| 0.20.1-preview.22573.9 | 1,207 | 11/24/2022 |
| 0.20.0 | 18,409 | 11/8/2022 |
| 0.20.0-preview.22551.1 | 148 | 11/1/2022 |
| 0.20.0-preview.22313.1 | 3,566 | 6/14/2022 |
| 0.19.1 | 517,151 | 3/9/2022 |
| 0.19.0 | 64,652 | 11/9/2021 |
| 0.19.0-preview.final | 233 | 10/22/2021 |
| 0.18.0 | 11,063 | 7/15/2021 |
| 0.17.5 | 45,237 | 3/4/2021 |
| 0.17.4 | 10,905 | 12/17/2020 |
| 0.17.2 | 20,432 | 9/11/2020 |
| 0.17.1 | 8,339 | 7/11/2020 |
| 0.17.0 | 5,793 | 5/26/2020 |
| 0.17.0-preview2 | 2,314 | 3/12/2020 |
| 0.17.0-preview | 15,400 | 12/26/2019 |
| 0.16.0 | 45,150 | 11/5/2019 |
| 0.16.0-preview2 | 741 | 10/8/2019 |
| 0.16.0-preview | 76,679 | 8/30/2019 |
| 0.15.1 | 23,156 | 8/7/2019 |
| 0.14.0 | 3,819 | 7/3/2019 |
| 0.3.0 | 7,489 | 5/3/2019 |