{"id":34823,"date":"2021-10-04T16:16:33","date_gmt":"2021-10-04T23:16:33","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/dotnet\/?p=34823"},"modified":"2021-10-14T07:41:26","modified_gmt":"2021-10-14T14:41:26","slug":"ml-net-and-model-builder-october-updates","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/dotnet\/ml-net-and-model-builder-october-updates\/","title":{"rendered":"ML.NET Updates & Announcing Notebooks in Visual Studio"},"content":{"rendered":"

ML.NET<\/a> is an open-source, cross-platform machine learning framework for .NET developers that enables integration of custom machine learning into .NET apps.<\/p>\n

In this post, we’ll cover the following items:<\/p>\n

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  1. Model Builder updates<\/a><\/li>\n
  2. Progress on addressing ML.NET pain points<\/a><\/li>\n
  3. Get started and resources<\/a><\/li>\n<\/ol>\n

    Model Builder updates<\/h2>\n

    Notebook Editor in Visual Studio<\/h3>\n

    Interactive Notebooks are used extensively in data science and machine learning. They are great for data exploration and preparation, experimentation, model explainability, and even education.<\/p>\n

    Last year, .NET Interactive Notebooks were announced<\/a>, and you can currently use .NET Interactive Notebooks in VS Code as an extension<\/a>.<\/p>\n

    After talking to customers, the team decided to experiment with Interactive Notebooks in Visual Studio which has resulted in the new Notebook Editor<\/a> extension!<\/p>\n

    \"Screenshot<\/p>\n

    Getting started with Notebook Editor<\/h4>\n

    Notebook Editor is only available in Visual Studio 2022 starting with Preview 4 and is currently offered as an experimental (preview) extension.<\/p>\n

    To try it out, you should first:<\/p>\n

      \n
    1. Install Visual Studio 2022 Preview 4 (or newer).<\/li>\n
    2. Install the Notebook Editor extension<\/a> from the Visual Studio Marketplace.<\/li>\n<\/ol>\n

      Then, there are two entry points to get started with Notebook Editor in Visual Studio.<\/p>\n

      The first entry point is from ML.NET Model Builder, where you can get a generated Notebook with content based on your own data and model.<\/p>\n

      To get a Notebook from Model Builder:<\/p>\n

        \n
      1. Install the latest version of Model Builder<\/a> for VS 2022.<\/li>\n
      2. Train a model with Model Builder and go to the Consume<\/strong> step.<\/li>\n
      3. Under Project templates<\/strong>, add the Notebook<\/strong> to your solution.\n\"Screenshot<\/a><\/li>\n
      4. Double click on the .ipynb<\/strong> file that is now in the Solution Explorer<\/strong> to open the Notebook in Notebook Editor<\/strong>.\n\"Screenshot<\/li>\n<\/ol>\n

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        The generated Notebook from Model Builder contains:<\/p>\n