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#mldotnet — Public Fediverse posts

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  1. Hi #mldotnet #dotnet and #onnx people.

    Would anyone have any ideas why an ML.NET transformer (pipeline consists of just TokenizeIntoCharactersAsKeys, MapValueToKey, and ProduceNgrams) would throw a "The targeted pipeline can not be fully converted into a well-defined ONNX model." exception?

    According to learn.microsoft.com/en-us/dotn all those transforms are ONNX exportable.

    (Working on cleaning up code for a branch to demonstrate the issue. I'll link the branch in a reply when it's done.)

  2. Hi #mldotnet #dotnet and #onnx people.

    Would anyone have any ideas why an ML.NET transformer (pipeline consists of just TokenizeIntoCharactersAsKeys, MapValueToKey, and ProduceNgrams) would throw a "The targeted pipeline can not be fully converted into a well-defined ONNX model." exception?

    According to learn.microsoft.com/en-us/dotn all those transforms are ONNX exportable.

    (Working on cleaning up code for a branch to demonstrate the issue. I'll link the branch in a reply when it's done.)

  3. Hi #mldotnet #dotnet and #onnx people.

    Would anyone have any ideas why an ML.NET transformer (pipeline consists of just TokenizeIntoCharactersAsKeys, MapValueToKey, and ProduceNgrams) would throw a "The targeted pipeline can not be fully converted into a well-defined ONNX model." exception?

    According to learn.microsoft.com/en-us/dotn all those transforms are ONNX exportable.

    (Working on cleaning up code for a branch to demonstrate the issue. I'll link the branch in a reply when it's done.)

  4. Hi #mldotnet #dotnet and #onnx people.

    Would anyone have any ideas why an ML.NET transformer (pipeline consists of just TokenizeIntoCharactersAsKeys, MapValueToKey, and ProduceNgrams) would throw a "The targeted pipeline can not be fully converted into a well-defined ONNX model." exception?

    According to learn.microsoft.com/en-us/dotn all those transforms are ONNX exportable.

    (Working on cleaning up code for a branch to demonstrate the issue. I'll link the branch in a reply when it's done.)

  5. Hi #mldotnet #dotnet and #onnx people.

    Would anyone have any ideas why an ML.NET transformer (pipeline consists of just TokenizeIntoCharactersAsKeys, MapValueToKey, and ProduceNgrams) would throw a "The targeted pipeline can not be fully converted into a well-defined ONNX model." exception?

    According to learn.microsoft.com/en-us/dotn all those transforms are ONNX exportable.

    (Working on cleaning up code for a branch to demonstrate the issue. I'll link the branch in a reply when it's done.)

  6. A new version of #MLdotNET Model Builder is now available. AND, it includes support for object detection using your local CPU or GPU.

    Read about the updates we made that enables integration of custom machine learning models into your #dotNET apps. 📖 msft.it/6019gbKyf

  7. In today's Azure Developers .NET Day session replay, we learn how you can go from idea to deployment in no time with #VisualStudio, #MLdotNET, and Azure Container Apps. 🎥 msft.it/6013gPqgz

  8. Getting started with #mldotnet 🤖

    In this post, @khalidabuhakmeh walks you through:
    ⚖️ Types of ML
    🤔 What is #mldotnet?
    💻 Your first ML.NET-powered application

    Check it out! jb.gg/qah67p #dotnet

  9. Getting started with #mldotnet 🤖

    In this post, @khalidabuhakmeh walks you through:
    ⚖️ Types of ML
    🤔 What is #mldotnet?
    💻 Your first ML.NET-powered application

    Check it out! jb.gg/qah67p #dotnet

  10. Getting started with #mldotnet 🤖

    In this post, @khalidabuhakmeh walks you through:
    ⚖️ Types of ML
    🤔 What is #mldotnet?
    💻 Your first ML.NET-powered application

    Check it out! jb.gg/qah67p #dotnet

  11. Getting started with #mldotnet 🤖

    In this post, @khalidabuhakmeh walks you through:
    ⚖️ Types of ML
    🤔 What is #mldotnet?
    💻 Your first ML.NET-powered application

    Check it out! jb.gg/qah67p #dotnet

  12. Getting started with #mldotnet 🤖

    In this post, @khalidabuhakmeh walks you through:
    ⚖️ Types of ML
    🤔 What is #mldotnet?
    💻 Your first ML.NET-powered application

    Check it out! jb.gg/qah67p #dotnet

  13. Let's explore how to create a cross-platform RSS reader that improves (gets smarter) as it's used, with #Xamarin, Azure Cognitive Services, and #MLdotNET. Watch: youtube.com/watch?v=ZoY1Jcetoo 

  14. Learn how to create custom machine learning models for scenarios like sentiment analysis, price prediction, and more without any machine learning experience using #MLdotNET and Model Builder: devblogs.microsoft.com/dotnet/ 

  15. We want to hear from you! Help shape and improve #MLdotNET for your needs by taking our short survey: devblogs.microsoft.com/dotnet/ 

  16. Leverage your existing tools to develop and infuse custom ML into your apps with #mldotnet 1.2 and updates to Model Builder and the CLI. Explore the update: devblogs.microsoft.com/dotnet/