Cortex.ML.MLNet
1.1.0
dotnet add package Cortex.ML.MLNet --version 1.1.0
NuGet\Install-Package Cortex.ML.MLNet -Version 1.1.0
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="Cortex.ML.MLNet" Version="1.1.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Cortex.ML.MLNet" Version="1.1.0" />
<PackageReference Include="Cortex.ML.MLNet" />
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 Cortex.ML.MLNet --version 1.1.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Cortex.ML.MLNet, 1.1.0"
#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 Cortex.ML.MLNet@1.1.0
#: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=Cortex.ML.MLNet&version=1.1.0
#tool nuget:?package=Cortex.ML.MLNet&version=1.1.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Cortex.ML.MLNet
ML.NET integration bridge for Cortex, enabling seamless conversion between DataFrames and IDataView.
Part of the Cortex data science ecosystem for .NET.
Requires .NET 10+,
Cortex, andMicrosoft.ML.
Features
- DataFrame to IDataView conversion with automatic schema mapping
- IDataView to DataFrame for post-processing ML.NET results in Cortex
- Schema inference — automatically maps .NET types to ML.NET column types
- Pipeline interop — use Cortex preprocessing with ML.NET trainers
Installation
dotnet add package Cortex.ML.MLNet
Quick Start
using Microsoft.ML;
using Cortex;
using Cortex.ML.MLNet;
var mlContext = new MLContext();
var df = DataFrame.ReadCsv("housing.csv");
IDataView dataView = df.ToDataView(mlContext);
var pipeline = mlContext.Transforms.NormalizeMinMax("Features")
.Append(mlContext.Regression.Trainers.Sdca());
var model = pipeline.Fit(dataView);
Round-Trip Conversion
// Cortex → ML.NET → Cortex
IDataView dataView = df.ToDataView(mlContext);
var result = model.Transform(dataView);
var resultDf = result.ToDataFrame(); // back to Cortex DataFrame
Related Packages
| Package | Description |
|---|---|
| Cortex | Core DataFrame (required) |
| Cortex.ML | Cortex-native ML models (alternative to ML.NET) |
Links
| 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
- Cortex (>= 1.1.0)
- Cortex.ML (>= 1.1.0)
- Microsoft.ML (>= 4.0.3)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.