What's New in Azure Machine Learning Studio

October 2018

The R language engine in the Execute R Script module has added a new R runtime version -- Microsoft R Open (MRO) 3.4.4. MRO 3.4.4 is based on open-source CRAN R 3.4.4 and is therefore compatible with packages that works with that version of R. Learn more about the supported R packages in the article, "R Packages supported by Azure Machine Learning Studio".

March 2017

This release of Microsoft Azure Machine Learning updates provides the following feature:

  • Dedicated Capacity for Azure Machine Learning BES Jobs

    Machine Learning Batch Pool processing uses the Azure Batch service to provide customer-managed scale for the Azure Machine Learning Batch Execution Service. Batch Pool processing allows you to create Azure Batch pools on which you can submit batch jobs and have them execute in a predictable manner.

    For more information, see Azure Batch service for Machine Learning jobs.

August 2016

This release of Microsoft Azure Machine Learning updates provide the following features:

  • Classic Web services can now be managed in the new Microsoft Azure Machine Learning Web Services portal that provides one place to manage all aspects of your Web service.
    • Which provides web service usage statistics.
    • Simplifies testing of Azure Machine Learning Remote-Request calls using sample data.
    • Provides a new Batch Execution Service test page with sample data and job submission history.
    • Provides easier endpoint management.

July 2016

This release of Microsoft Azure Machine Learning updates provide the following features:

  • Web services are now managed as Azure resources managed through Azure Resource Manager interfaces, allowing for the following enhancements:
  • Incorporates a new subscription-based, multi-region web service deployment model using Resource Manager based APIs leveraging the Resource Manager Resource Provider for Web Services.
  • Introduces new pricing plans and plan management capabilities using the new Resource Manager RP for Billing.
  • Provides web service usage statistics.
  • Simplifies testing of Azure Machine Learning Remote-Request calls using sample data.
  • Provides a new Batch Execution Service test page with sample data and job submission history.

In addition, the Machine Learning Studio has been updated to allow you to deploy to the new Web service model or continue to deploy to the classic Web service model.