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Azure Machine Learning—Public preview updates for September 2022

Published date: October 03, 2022
  1. Configure compute instance with managed identity: This feature enables administrators to control user access to sensitive data so that it can only be accessed when working on compute instance. You will now have an increased level of data protection. Configure compute instance with managed identity 
  2. Compare and evaluate quality across models and jobs in AzureML: This feature helps you determine the quality and effectiveness of your models and jobs by viewing differences between parameters, metrics, and tags. You will be able to quickly determine whether to retrain or deploy your model. Compare and evaluate quality across models and jobs in AzureML 
  3. Configure auto-stop for idle compute instances: This feature automatically shuts down inactive compute instances, which in turn saves you from paying for compute instances you are not using. Configure auto-stop for idle compute instances  
  • Azure Machine Learning
  • Features

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