Microsoft.ML.OnnxTransformer
4.0.0
Prefix Reserved
dotnet add package Microsoft.ML.OnnxTransformer --version 4.0.0
NuGet\Install-Package Microsoft.ML.OnnxTransformer -Version 4.0.0
<PackageReference Include="Microsoft.ML.OnnxTransformer" Version="4.0.0" />
paket add Microsoft.ML.OnnxTransformer --version 4.0.0
#r "nuget: Microsoft.ML.OnnxTransformer, 4.0.0"
// Install Microsoft.ML.OnnxTransformer as a Cake Addin #addin nuget:?package=Microsoft.ML.OnnxTransformer&version=4.0.0 // Install Microsoft.ML.OnnxTransformer as a Cake Tool #tool nuget:?package=Microsoft.ML.OnnxTransformer&version=4.0.0
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
Related Packages
- Main Package: Microsoft.ML
- Core data abstraction: Microsoft.ML.DataView
- LightGBM Model Support: Microsoft.ML.LightGbm
- Fast Tree: Microsoft.ML.FastTree
- Image analytics: Microsoft.ML.ImageAnalytics
- Recommender: Microsoft.ML.Recommender
- Time series: Microsoft.ML.TimeSeries
- Automatic model selection / tuning: Microsoft.ML.AutoML
- Exporting Onnx Models: Microsoft.ML.OnnxConverter
- Text tokenizers: Microsoft.ML.Tokenizers
Feedback & Contributing
Microsoft.ML is released as open source under the MIT license. Bug reports and contributions are welcome at the GitHub repository.
Product | Versions 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. |
-
.NETStandard 2.0
- Google.Protobuf (>= 3.27.1)
- Microsoft.ML (>= 4.0.0)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.1)
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.
|
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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 | 1,114 | 11/13/2024 |
4.0.0-preview.24522.7 | 286 | 10/23/2024 |
4.0.0-preview.24378.1 | 884 | 7/29/2024 |
4.0.0-preview.24271.1 | 943 | 5/21/2024 |
4.0.0-preview.24162.2 | 1,288 | 3/13/2024 |
3.0.1 | 224,755 | 1/18/2024 |
3.0.0 | 22,356 | 11/27/2023 |
3.0.0-preview.23511.1 | 918 | 10/13/2023 |
3.0.0-preview.23266.6 | 8,729 | 5/17/2023 |
3.0.0-preview.22621.2 | 2,137 | 12/22/2022 |
2.0.1 | 208,106 | 2/1/2023 |
2.0.1-preview.22573.9 | 1,337 | 11/24/2022 |
2.0.0 | 49,601 | 11/8/2022 |
2.0.0-preview.22551.1 | 949 | 11/1/2022 |
2.0.0-preview.22313.1 | 5,455 | 6/14/2022 |
1.7.1 | 157,233 | 3/9/2022 |
1.7.0 | 36,692 | 11/9/2021 |
1.7.0-preview.final | 280 | 10/22/2021 |
1.6.0 | 30,126 | 7/15/2021 |
1.5.5 | 20,913 | 3/4/2021 |
1.5.4 | 9,829 | 12/17/2020 |
1.5.2 | 20,981 | 9/11/2020 |
1.5.1 | 16,768 | 7/11/2020 |
1.5.0 | 33,075 | 5/26/2020 |
1.5.0-preview2 | 11,480 | 3/12/2020 |
1.5.0-preview | 11,253 | 12/26/2019 |
1.4.0 | 144,638 | 11/5/2019 |
1.4.0-preview2 | 4,543 | 10/8/2019 |
1.4.0-preview | 4,352 | 8/30/2019 |
1.3.1 | 12,242 | 8/6/2019 |
1.2.0 | 23,022 | 7/3/2019 |
0.13.0 | 6,329 | 6/4/2019 |
0.12.0 | 3,779 | 5/2/2019 |
0.12.0-preview | 2,252 | 4/2/2019 |
0.11.0 | 5,489 | 3/6/2019 |