Export AutoML models from Power BI to Jupyter Notebook or Azure Notebooks
Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned
|Enabled for||Public preview||General availability|
|End users by admins, makers, or analysts||-||Feb 2020|
Automated machine learning (AutoML) in Power BI enables analysts to build ML models for common business scenarios, such as binary prediction, classification, regression, and time-series forecasting. It automates feature extraction from inputs, algorithm, and hyper-parameter selection for tuning of ML models and validation.
For further customization and specialized tuning of these models, you can now export the automatically created models to Jupyter Notebook or Azure Notebooks with just a couple of clicks. The exported models can then be customized and deployed outside Power BI with services such as Azure Machine Learning.