Scaleout.Modules.MachineLearning
3.0.0
dotnet add package Scaleout.Modules.MachineLearning --version 3.0.0
NuGet\Install-Package Scaleout.Modules.MachineLearning -Version 3.0.0
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="Scaleout.Modules.MachineLearning" Version="3.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Scaleout.Modules.MachineLearning" Version="3.0.0" />
<PackageReference Include="Scaleout.Modules.MachineLearning" />
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Scaleout.Modules.MachineLearning --version 3.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Scaleout.Modules.MachineLearning, 3.0.0"
#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.
#:package Scaleout.Modules.MachineLearning@3.0.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=Scaleout.Modules.MachineLearning&version=3.0.0
#tool nuget:?package=Scaleout.Modules.MachineLearning&version=3.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
This package supports Machine Learning types and algorithms to be used with a ScaleOut in-memory data grid.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net8.0 is compatible. 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. net9.0 is compatible. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 is compatible. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
net10.0
- Microsoft.ML (>= 3.0.1)
- Microsoft.ML.FastTree (>= 3.0.1)
- Microsoft.ML.LightGbm (>= 3.0.1)
- Microsoft.ML.Mkl.Components (>= 3.0.1)
- Microsoft.ML.OnnxRuntime (>= 1.19.2)
- Microsoft.ML.OnnxTransformer (>= 3.0.1)
- Microsoft.ML.TensorFlow (>= 3.0.1)
- Scaleout.Client (>= 4.11.0)
- Scaleout.Modules.Common (>= 3.0.0)
- Scaleout.Modules.DigitalTwin.Abstractions (>= 6.0.0)
-
net8.0
- Microsoft.ML (>= 3.0.1)
- Microsoft.ML.FastTree (>= 3.0.1)
- Microsoft.ML.LightGbm (>= 3.0.1)
- Microsoft.ML.Mkl.Components (>= 3.0.1)
- Microsoft.ML.OnnxRuntime (>= 1.19.2)
- Microsoft.ML.OnnxTransformer (>= 3.0.1)
- Microsoft.ML.TensorFlow (>= 3.0.1)
- Scaleout.Client (>= 4.11.0)
- Scaleout.Modules.Common (>= 3.0.0)
- Scaleout.Modules.DigitalTwin.Abstractions (>= 6.0.0)
-
net9.0
- Microsoft.ML (>= 3.0.1)
- Microsoft.ML.FastTree (>= 3.0.1)
- Microsoft.ML.LightGbm (>= 3.0.1)
- Microsoft.ML.Mkl.Components (>= 3.0.1)
- Microsoft.ML.OnnxRuntime (>= 1.19.2)
- Microsoft.ML.OnnxTransformer (>= 3.0.1)
- Microsoft.ML.TensorFlow (>= 3.0.1)
- Scaleout.Client (>= 4.11.0)
- Scaleout.Modules.Common (>= 3.0.0)
- Scaleout.Modules.DigitalTwin.Abstractions (>= 6.0.0)
NuGet packages (4)
Showing the top 4 NuGet packages that depend on Scaleout.Modules.MachineLearning:
| Package | Downloads |
|---|---|
|
Scaleout.Modules.Hosting
Supports hosting custom modules that can be deployed to a ScaleOut in-memory data grid. |
|
|
Scaleout.DigitalTwin.Workbench.MachineLearning
This is the class library that allows the Workbench to load ML algorithms for DT models testing. |
|
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ScaleOut.Modules.DigitalTwin.RulesEngine.Client
This package contains all deployment components of ScaleOut Rules-Based Digital Twins. |
|
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ScaleOut.Modules.DigitalTwin.RulesEngine.ModelRuntime
This package contains all necessary components to run ScaleOut Rules-Based Digital Twins. |
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated |
|---|---|---|
| 3.0.0 | 34 | 5/16/2026 |
Release of ScaleOut Digital Twins support as ActiveCaching modules.