ML.NET.Classification.Metrics
0.1.1
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package ML.NET.Classification.Metrics --version 0.1.1
NuGet\Install-Package ML.NET.Classification.Metrics -Version 0.1.1
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="ML.NET.Classification.Metrics" Version="0.1.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="ML.NET.Classification.Metrics" Version="0.1.1" />
<PackageReference Include="ML.NET.Classification.Metrics" />
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 ML.NET.Classification.Metrics --version 0.1.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: ML.NET.Classification.Metrics, 0.1.1"
#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.
#:package ML.NET.Classification.Metrics@0.1.1
#: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=ML.NET.Classification.Metrics&version=0.1.1
#tool nuget:?package=ML.NET.Classification.Metrics&version=0.1.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
ML.NET.Classification.Metrics.Library
About
ML.NET.Classification.Metrics.Library is an unofficial extension library for ML.NET that adds detailed ROC curve generation and AUC calculation complementing ML.NET’s built-in metrics with richer visualization and threshold analysis.
Key Features
- ROC curve generation: Produces FPR/TPR arrays by sweeping (threshold buckets + 1) from 1.0 to 0.0, giving a dense approximation
- Custom buckets: Choose the number of buckets to balance speed and fidelity
- Consistent AUC: Computes AUC via trapezoidal integration over the same ROC points, ensuring the curve and scalar metric stay aligned
- Interop-ready: Returns strongly-typed .NET structs, making results easy to visualize in charts, diagnostics, or reporting tools
NuGet package
- Add the NuGet package:
- dotnet add package ML.NET.Classification.Metrics --version 0.1.1
- Import the namespace in your code
- using ML.NET.Metrics.Evaluation.Public;
Libraries
- .NET 8.0
- Windows x64 native binary
| 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 was computed. 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 was computed. 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.
-
net8.0
- No dependencies.
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.