Machine Learning

Welcome! The Azure Machine Learning team invites you to share and vote for features to help you build, manage, and deploy custom machine learning models.

Have a technical question, or want to learn more? Please visit our documentation, MSDN forum or StackOverflow.


  1. Allow importing data from on-prem databases like Vertica, Oracle etc.

    We are going through a tool selection process for Machine Learning, and we think that Azure Machine learning fits most of our requirements, however one major drawback is that we cannot connect to other on premise databases other than Microsoft SQL server. Allowing multiple data source connectors gives much more flexibility as compared to other tools in the market.

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  2. 1 vote
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  3. MT-DNN-BERT Model inside Visual Interface of Azure ML Studio

    Any project need to use Semantic Models, badly need use either MT-DNN or BERT, can you please include MT-DNN or BERT Model inside Visual Interface of Azure ML Studio. Because that gives Azure edge over other AI Platforms DataRobot, other wise many customers move to other AI Platforms. I need to use either MT-DNN or BERT in my project. As per Gardner/Mckinsey report is saying more Intelligent Chat Bot with muliti lingual requirement flooding all over the world ever before in the AI.

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  4. Fuchs Agency uae

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  5. Custom Module in Designer

    Include a custom module in Designer where people can call an existing model from the registry and build around it, or call web service of a model outside of Designer and build around it, or call a cognitive service and build around it or call an ONNX model and build around it.

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  6. Please add API that can show that upper /lower Part separatley that "RunDetails().show()" draw.

    About using Auto ML with "RunDetails().show()" of "Azure Machine Learning Service Python SDK" ,
    Please add API that can show only that upper Table Part that "RunDetails().show()" draw.
    Also, Please add API that can show only that lower Chart part that "RunDetails().show()" draw.

    *please check attachment that show the upper table part and lower chart part.

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  7. support for value added reseller scenarios

    suppose you want to build azure ml into an application targeted at non-technical users, and you wanted to
    - allow them to try out a machine learning feature of your application by using a trial (no-credit-card) version of azure ml studio
    - offload management of the ml trial period and quota (trial licensing security) to azure
    - provision the free azure ml studio account with an arm template

    is any of this possible right now? will it ever be?

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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  8. Career Counselling Bangalore

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  9. By ending it.

    This is an avenue to enforce the illegal critical race theory.
    End it!

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  10. Script parameters in Azure ML portal

    The RunDetails widget displays the script parameters of the Estimator that were used for that Run. It would be great if they were also displayed on the Azure portal. Furthermore, i would like to be able to search and filter Runs based on the script parameters used.

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  11. Provide upload/import feature for xml and Json file in DataSet

    Hi,

    Most of the e-commerce marketplace supports only XML/JSON file, It will be very helpful if you provide supports for these file formats. I think you should implement the same functionality of import/export Dataset in Microsoft Azure Learning Studio, which is already available in Power-BI.

    Thanks.

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  12. AKS cluster remove models

    Bring the ability to remove particular models, and closing the containers from deployments onto an AKS cluster without deleting the cluster

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  13. Azure Machine Learning Designer In AML Studio Model Evaluation, Curves Not Adjusting With Threshold Change

    AUC curves do not adjust in Evaluate Model result visualization along with the threshold adjustment although the confusion matrix does

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  14. Don't silently fail when an ARM template attempts to change an unchangable parameter

    When an ARM template attempts to change a workspace parameter that cannot be changed (such as hbiWorkspace), the template deployment succeeds without any error or notice even though the parameter specified in the template has not taken effect.

    This is counterintuitive at best, and also inconsistent with how other Azure resources work: those do throw an error when you try to change an unchangable parameter using an ARM template.

    Please fix this by always failing the ARM template deployment when the template tries to change an unchangable parameter.

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  15. support deployment for TF2.0

    it is un-acceptable that training support TF2.0, but deployment doesn't.

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  16. ML Services: View registered datastores and datasets in the workspace GUI blade

    The ability to be able to register datasets and datastores is really powerful. Currently, if I register datasets / datastores and their metadata with the SDK, I can't find them in the workspace GUI in the portal (where I see my experiments / runs / compute / registered models etc) - I have to list them programmatically.

    It would be great if there were a tab added to the workspace portal blade so that I could see all the datasets / datastores, the metadata I have added to them, their version history etc.

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