Microsoft.ML.OnnxTransformer 4.0.0-preview.24522.7

Prefix Reserved
.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
This is a prerelease version of Microsoft.ML.OnnxTransformer.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Microsoft.ML.OnnxTransformer --version 4.0.0-preview.24522.7                

                    
                

            
NuGet\Install-Package Microsoft.ML.OnnxTransformer -Version 4.0.0-preview.24522.7
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="Microsoft.ML.OnnxTransformer" Version="4.0.0-preview.24522.7" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Microsoft.ML.OnnxTransformer --version 4.0.0-preview.24522.7                

                    
                

            
#r "nuget: Microsoft.ML.OnnxTransformer, 4.0.0-preview.24522.7"
#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. 
// Install Microsoft.ML.OnnxTransformer as a Cake Addin
#addin nuget:?package=Microsoft.ML.OnnxTransformer&version=4.0.0-preview.24522.7&prerelease

// Install Microsoft.ML.OnnxTransformer as a Cake Tool
#tool nuget:?package=Microsoft.ML.OnnxTransformer&version=4.0.0-preview.24522.7&prerelease

About

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

For more information, see the ML.NET documentation.

This package adds the ability to load and run pre-trained ONNX models as part of your ML.NET pipeline.

Key Features

  • Any type of ONNX model can be run with all the data interop handled automatically.
  • Image Featurization - Automatically featurize an image using a pre-trained DNN model.

How to Use

See Machine Learning Samples for an assortment of samples that show how to get started using ML.NET.

Main Types

Some of the types provided by this library are:

  • Microsoft.ML.Transforms.Onnx.OnnxOptions
  • Microsoft.ML.Transforms.Onnx.OnnxScoringEstimator
  • Microsoft.ML.Transforms.Onnx.OnnxTransformer

Additional Documentation

Feedback & Contributing

Microsoft.ML is released as open source under the MIT license. Bug reports and contributions are welcome at the GitHub repository.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  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. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (17)

Showing the top 5 NuGet packages that depend on Microsoft.ML.OnnxTransformer:

Package Downloads
Microsoft.ML.AutoML

ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters
Microsoft.ML.DnnImageFeaturizer.AlexNet

ML.NET component for pretrained AlexNet image featurization
Microsoft.ML.DnnImageFeaturizer.ResNet101

ML.NET component for pretrained ResNet101 image featurization
Microsoft.ML.DnnImageFeaturizer.ResNet50

ML.NET component for pretrained ResNet50 image featurization
Microsoft.ML.DnnImageFeaturizer.ResNet18

ML.NET component for pretrained ResNet18 image featurization

GitHub repositories (5)

Showing the top 5 popular GitHub repositories that depend on Microsoft.ML.OnnxTransformer:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
microsoft/psi
Platform for Situated Intelligence
redis/redis-om-dotnet
Object mapping, and more, for Redis and .NET
microsoft/CryptoNets
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E
Azure/azure-stream-analytics
Azure Stream Analytics
Version Downloads Last updated
4.0.0 6,766 11/13/2024
4.0.0-preview.24522.7 301 10/23/2024
4.0.0-preview.24378.1 927 7/29/2024
4.0.0-preview.24271.1 962 5/21/2024
4.0.0-preview.24162.2 1,396 3/13/2024
3.0.1 260,938 1/18/2024
3.0.0 23,786 11/27/2023
3.0.0-preview.23511.1 925 10/13/2023
3.0.0-preview.23266.6 8,760 5/17/2023
3.0.0-preview.22621.2 2,144 12/22/2022
2.0.1 211,215 2/1/2023
2.0.1-preview.22573.9 1,342 11/24/2022
2.0.0 50,443 11/8/2022
2.0.0-preview.22551.1 1,052 11/1/2022
2.0.0-preview.22313.1 5,488 6/14/2022
1.7.1 160,159 3/9/2022
1.7.0 37,754 11/9/2021
1.7.0-preview.final 286 10/22/2021
1.6.0 30,547 7/15/2021
1.5.5 21,269 3/4/2021
1.5.4 9,943 12/17/2020
1.5.2 21,042 9/11/2020
1.5.1 16,964 7/11/2020
1.5.0 33,438 5/26/2020
1.5.0-preview2 11,562 3/12/2020
1.5.0-preview 11,258 12/26/2019
1.4.0 144,728 11/5/2019
1.4.0-preview2 4,546 10/8/2019
1.4.0-preview 4,355 8/30/2019
1.3.1 12,268 8/6/2019
1.2.0 23,030 7/3/2019
0.13.0 6,352 6/4/2019
0.12.0 3,788 5/2/2019
0.12.0-preview 2,255 4/2/2019
0.11.0 5,618 3/6/2019

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