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. Export Azure ML Visual Interface experiments to Python

    To make the visual UI really useful, it would be great to support export of Azure ML Visual Interface experiments to Python.
    The same applies to the Automated ML UI.

    40 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →

    Hi Azure Customer,

    We have the plan for AutoML. But currently it is not in the roadmap for visual interface. We will be watching for additional upvotes for future priority considerations. Thank you for your feedback and understanding.

    Regards,
    Azure CXP Community

  2. Deploy a web service to AKS without a public endpoint

    It seems like the Machine Learning service currently always uses a public load balancer with a public IP when deploying a web service to AKS.

    We do not want to expose our web services to the public as that is a security risk - even with the Authorization keys. Also, even if we had to expose it, we'd prefer to use our own centralized ingress system to control the traffic coming into the cluster (e.g. via Azure Application Gateway v2).

    We therefore would like to be able to choose one of the following additional methods when connecting to AKS/when deploying…

    25 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  3. Bring back CLI image commands ("az ml image create" etc)

    The earlier preview versions of the CLI extension (e.g. 1.0.10) contained commands for manipulating the Docker images (e.g. "az ml image create container"). This was very useful, because it made it possible to decouple the time consuming task of building the image from the actual deployment to a compute target and allowed verification of the image prior to deploying to production. (In a CI/CD process, image building was part of the "Build" pipeline while webservice deployment was performed in the "Release" pipeline.)

    In the latest CLI extension version (1.0.33.7), the image commands are not present in the CLI, even though…

    35 votes
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    2 comments  ·  Flag idea as inappropriate…  ·  Admin →
  4. Remove the limit on model names

    Currently the character limit on a model name is 30 characters. We need names to be as long as we want to satisfy our naming conventions.

    We have various sites our models run on, so we need to prefix the model name with the site, its operational area, it's purpose, and the algorithm choice.

    Surely there's no hard technical limitation on naming something longer, if so, enlighten your users as to why there is a limitation so that we are able to anticipate such things.

    When I check Azure naming Conventions (https://docs.microsoft.com/en-us/azure/architecture/best-practices/naming-conventions) the vast majority of the name…

    22 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →

    Hi Customer,

    May I know which product of machine learning services you are mentioning? The visual interface, machine learning studio or machine learning workspace?

    We would like to specify the product and we can investigate it deeper.

    Regards,
    Azure CXP Community

  5. Need Sample for Azure ml pipeline yaml template

    Looking Sample Project for Azure CLI ML Pipeline create from Yaml Template, Please share sample for it.
    https://github.com/MicrosoftDocs/pipelines-azureml/tree/master/ml-pipeline-yml
    az ml pipeline create -n mypipeline -y mypipeline.yml
    https://docs.microsoft.com/en-us/azure/machine-learning/service/reference-pipeline-yaml

    6 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  6. Share notebook VM

    Is it possible for 2 users of an AML Workspace to access the same notebook VM? We are both collaborators in the workspace, but my colleague cannot access the notebook VM I created.

    15 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  7. error on : FailedToEvaluateRScript: The following error occurred during evaluation of R script: R_tryEval: return error: Error: bad restore

    I have the following error on azureml :

    FailedToEvaluateRScript: The following error occurred during evaluation of R script: R_tryEval: return error: Error: bad restore file magic number (file may be corrupted) -- no data loaded , Error code: LibraryExecutionError, Http status code: 400, Timestamp: Mon, 02 Dec 2019 06:33:22 GMT

    1 vote
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  8. About LSTM and 3D tensors dataset support for Auto ML

    Will Auto ML support the LSTM algorithm in the future?
    Would also be nice to be able to support 3D tensors dataset.

    3 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  9. Azure ML service does not log experiments runs or model registrations to Azure Monitor

    AML services shows few metrics however logging of experiment runs are not available in Azure Monitor.

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  10. Azure DevOps ML extension - bug when triggering release pipelines

    I have multiple release pipelines triggered by new model versions. Each pipeline uses different models, but with the same name (they are in different workspaces of the same resource group).

    The issue is that all pipelines seem to be triggered by the same model (the one in the oldest workspace), even though they're using different references, and different service connections. I expect them to be triggered by updates to their respective models, of course.

    I can provide more details if needed.

    3 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  11. ML Studio Fails for Managed Application While deploying

    While Deploying ML Studio through Managed Apps,it fails with resource timeout error and have registered a case id with Azure Support -119121123001479

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  12. model_data_collection should log failed API request too

    We plan to leverage modeldatacollection message type in traces to log our API request payload (instead of printing the payload to STDOUT) only to realize that failed requests were not logged. It's actually more useful to log payload for failed requests so we can reproduce the issue rapidly.

    3 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  13. Allow ACI and AKS containers to assume a managed identity role

    Currently, there's no way for an ACI or AKS-instanced AML program to assume a role. We would like to access other Azure resources with our AML code, so we would like for the containers created to be able to assume an existing role, using the normal procedures.

    9 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  14. Enable Machine Learning Studio for Government Cloud

    Please enable azure machine learning services for government cloud customers

    Currently there is no timeline for releasing ML services to Gov Cloud users, but we are interested in the service.

    https://azure.microsoft.com/en-us/global-infrastructure/services/?products=machine-learning-studio

    3 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  15. Link Dataset, Experiment, Image, Model, Deployement

    As part of managing the whole Data Science Process within Azure ML, is there a way to link a Dataset, an Experiment and related produced Image, Model and Deployment, apart from description.

    2 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  16. 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.

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  17. Please integrate Azure Machine Learning Studio with Microsoft Visual Studio?

    Hi,

    It will be very helpful to create a Machine learning experiment in visual studio if you integrate AML Studio in Microsoft Visual Studio (Community Edition). Currently, it supports the only web-based, I think it will be very helpful if you provide support for desktop-based AML Studio.

    Thanks.

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  18. it sucks literally.

    compare your complexity to deploy vs other website deployment. it sucks literally

    1 vote
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  19. 1 vote
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  20. define and run pipeline using Logic App

    It's super make sense this type of workflow via GUI, not only code. Please refere the following service as well.


    • Azure DevOps

    • Azure Data Factory

    3 votes
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