S3mphony.ModelSelector
2026.1.18.2156
dotnet add package S3mphony.ModelSelector --version 2026.1.18.2156
NuGet\Install-Package S3mphony.ModelSelector -Version 2026.1.18.2156
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="S3mphony.ModelSelector" Version="2026.1.18.2156" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="S3mphony.ModelSelector" Version="2026.1.18.2156" />
<PackageReference Include="S3mphony.ModelSelector" />
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 S3mphony.ModelSelector --version 2026.1.18.2156
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: S3mphony.ModelSelector, 2026.1.18.2156"
#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 S3mphony.ModelSelector@2026.1.18.2156
#: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=S3mphony.ModelSelector&version=2026.1.18.2156
#tool nuget:?package=S3mphony.ModelSelector&version=2026.1.18.2156
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
S3mphony.ModelSelector
S3mphony.ModelSelection adds an ML-aware decision layer as a post-process for model persistence.
It ranks specified workflow metric using the most appropriate available scoring metric.
- It is generic, algorithm and metric-agnostic, and built for repeated scheduled training runs (like your metrics workers), where every models can belong to different targets, and is safely persisted in S3.
- What it gives you:
- Automatic best-model selection from any number of persisted training runs
- Quality gates to filter out invalid or underperforming candidates
- Composite scoring that prefers high R² and low RMSE
- Stability policy to avoid model flapping or churn
- Recency biasing when metric scores are close
- Works seamlessly in APIs, workers, dashboards, or prototype MLOps flows
Example usage
// e.g.: S3mphony chanel setup to retrieve model metrics from your bucket
var allCandidates = await _s3Channel.ListModelsAsync(
bucket: "my-ml-model-metrics-bucket",
prefix: "regression-models/",
ct: ct);
// Pick the best model without scheduling a meeting with a scientist
var myBestModel = ModelSelector.PickBest(allCandidates);
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | 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 (>= 5.0.0)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated |
|---|---|---|
| 2026.1.18.2156 | 105 | 1/18/2026 |
| 2026.1.18.2155 | 95 | 1/18/2026 |
| 2026.1.18.2154 | 95 | 1/18/2026 |
| 2026.1.18.404 | 98 | 1/18/2026 |
| 2026.1.3.243 | 112 | 1/3/2026 |
| 2026.1.3.209 | 104 | 1/3/2026 |
| 2025.12.26.2048 | 120 | 12/26/2025 |
| 2025.12.26.1954 | 126 | 12/26/2025 |
| 2025.12.26.1031 | 150 | 12/26/2025 |
| 2025.12.26.1001 | 146 | 12/26/2025 |
| 2025.12.26.954 | 156 | 12/26/2025 |
| 2025.12.26.841 | 151 | 12/26/2025 |
| 2025.12.26.835 | 148 | 12/26/2025 |
| 1.0.0 | 163 | 12/26/2025 |
Putting the pieces together.