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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. 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

  3. 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 

  4. 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/ 

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

  6. 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/