Cortex.ML.MLNet
1.0.0
There is a newer version of this package available.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 Cortex.ML.MLNet --version 1.0.0
NuGet\Install-Package Cortex.ML.MLNet -Version 1.0.0
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="Cortex.ML.MLNet" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Cortex.ML.MLNet" Version="1.0.0" />
<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 1.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Cortex.ML.MLNet, 1.0.0"
#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 Cortex.ML.MLNet@1.0.0
#: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=Cortex.ML.MLNet&version=1.0.0
#tool nuget:?package=Cortex.ML.MLNet&version=1.0.0
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.
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);
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 (>= 1.0.0)
- Cortex.ML (>= 1.0.0)
- 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.