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Announcing the deprecation of creation of machine learning models in Power BI using Dataflows V1

Creation of Power BI Automated Machine Learning (AutoML) models for Dataflows V1 will be retired starting March 28th.

AutoML is a valuable feature in Power BI that enables customers to easily create and deploy machine learning models for predictive analytics. However, we have received feedback that customers want more control and flexibility over the end-to-end AutoML pipeline. The AutoML solution based on Synapse Data Science in Microsoft Fabric will help address this by offering customers a powerful and more customizable AutoML experience, with access to advanced tools and features.

With the new AutoML feature in Fabric, you can automate your machine learning workflow and get the best results with less effort. AutoML in Fabric, or Automated Machine Learning, is a set of techniques and tools that can automatically train and optimize machine learning models for any given data and task type. You don’t need to worry about choosing the right model and hyperparameters, as AutoML will do that for you.

You can also track and examine your AutoML runs using Fabric’s MLFlow integration and use the built-in visualization modules to generate interactive plots of your outcomes. Fabric also supports a large number of Spark and single-node model learners, ensuring that you can find the best fit for your machine learning problem.

We encourage customers to migrate their solution to Synapse Data Science as the current AutoML feature in Power BI will be discontinued soon. Starting from March 28th, customers will not be able to create new AutoML models in Power BI, but they can still use the existing models they have created. If you’re interested in trying out the new AutoML solution in Fabric and providing feedback, please fill out this form to join the Private Preview.

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