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. Step by Step web response request service web app

    Please make a web app step by step request response tutorial from a ML azure studio experiment, for non native coder people is confusing to set up the service and make it available to the end user.

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

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  3. AzureML should support to open multiple experiments in terms of tabs/pages simultaneously.

    Allowing editing or reading multiple experiments simultaneously will help to reuse any existing experiment flow.
    This will help to easily navigate to between experiments and use/update required information.

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  4. Allow UPDATE a table in Export Data transformation

    Currently I can only INSERT rows to SQL table in my SQL Server in Azure using Export Data transformation.
    It would be useful to allow also UPDATE in cases when we need to update prediction scores of already "predicted" probabilities in the target table.
    Thanks

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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  5. Option to Deploy web service as HTTP instead of default HTTPS

    I need the ability to deploy my predictive model as a HTTP end point instead of the default HTTPS. There are lot of restrictions in the ERP test environment where I am building the client application that consumes the web service. An easy way to turn on/off from HTTPS to HTTP would be very useful as I migrate from Test to Prod.

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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  6. 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

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  7. Upload a new dataset from Excel.

    There are no possible import from excel - http://prntscr.com/pda67v
    All time I have a problem, when I want to import from CSV, which I create from excel to csv. All time it shows one column all time. For example - http://prntscr.com/pda8w0 I can't get separated columns.
    If someone know solution, please tell me.

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  8. Trail between experiment and models

    We would like a way of tracing a model back to the experiment run that created it.

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  9. Is it possible to change the web service URI from ".../score" to a custom name?

    I'm trying to replace an existing web service in Microsoft Dynamics that was using a model from Azure Machine Learning Studio. It has a hardcoded endpoint suffix like "/predict". For the Azure ML Service I'm building to replace it, there seems to be a hardcoded suffix called "/score" instead in the web service URI.

    Can I customize this? I'd like to replace "/score" with "/predict" etc so that I can swap out the new model.

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  10. Improve model portability

    Allow easy identification of all of an ML studio models components and exporting of these to new workspaces. Currently copying has major limitations such as data set size, workspace location etc. Datasets get duplicated when used in multiple models during the copy etc. It should be possible to select and copy multiple experiments or projects and have the copy process bring along everything that is needed including training experiments, predictive experiments, transformations and web service parameters etc. without creating duplication.

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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →

    Dear Azure Customer,

    Thanks for the feedback. Your feedback is very important to us. Our engineering team will investigate it and consider your feedback seriously. We will get back to you soon.

    Thank you for understanding.
    Azure CXP Community

  11. Mark models as faulty

    We would like to manually mark some models as faulty so that they cannot be used or restored.

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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  12. Create notebook from docker image

    I'd like to create a notebook from a docker image in my private container registry so that I can test out the pieces of my azure ml experiment that failed. It seems like you can't create a notebook with a docker image or conda environment which makes it tedious to set up a custom environment. Thanks for considering this feature!

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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  13. AML pipeline with ADF step

    Is there a plan to support ADF as an AML pipeline steps ?
    The use case would be to leverage the extended ADF pipeline capabilities to prepare Data before it is used for training.
    Also, Data Engineer and Data Scientist would benefit from Data Lineage understanding through feature like Data Flow.
    I appreciate your feedbacks.

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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  14. Is there a way to attach Data Bricks Cluster which is in a different resource group

    Is there a way to attach Data Bricks Cluster which is in a different resource group

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    need-feedback  ·  2 comments  ·  Flag idea as inappropriate…  ·  Admin →
  15. We need to build in algorithms for Multi-label classification. Currently we do not support any of BP-MLL or ML-kNN etc.

    There are no support for Multi label classification by default in ML services. Users have to write their own code in Python/R or any language and go ahead with an ensemble of models. Why dont we have any support by default?

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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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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  17. Make warning that optimiation hasn't converged more apparent.

    The evaluation of my Multiclass Neural Network wasn't all that good. In looking to see what might have gone wrong, I came across a curious warning message in the training logs:
    /azureml-envs/azureml1f1665f56e65fc1b774765297713b3cf/lib/python3.6/site-packages/sklearn/neuralnetwork/multilayer_perceptron.py:562: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.

    It would be good if this warning was more obvious. I'm re-running now with >100 iterations, but wouldn't have known to do this if I didn't comb through the logs.

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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  18. Remove AKS minimum core restriction ("cluster_purpose")

    If I want to attach an AKS cluster in development environments that don't meet the 4 agents / 12 core requirements, I need to set the "clusterpurpose = AksCompute.ClusterPurpose.DEVTEST" parameter via the Python API. However, this parameter is not supported in ARM templates and also not in the Azure CLI extension, so this complicates our automation strategy.

    The minimum requirements for running an AKS cluster in production are well documented, so it shouldn't be up to the "Machine Learning service" to enforce any restrictions.

    Having this "cluster_purpose" parameter is just an unnecessary complication, and should therefore be removed…

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  19. Support Parquet file format as Import Data action

    Support for Parquet data format as Import Data, as many big data projects are using this format. It is much lighter then CSV. This format is already supported by Azure Data Factory.

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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →

    Hi Azure customer,

    Thank you for the feedback here, could you please share more details about what product you are mentioning? Is that Azure machine learning studio, Visual Interface, or you mean for all products ^^?

    Waiting for your response. Thank you very much.

    Regards,
    Azure CXP Community

  20. Show summary in run history

    Show the summary in run history so that you can more easily track your iterations in your experiment

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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →

    Dear Azure Customer,

    Thanks for the feedback. Your feedback is very important to us. Our engineering team will investigate it and consider your feedback seriously. We will get back to you soon.

    Thank you for understanding.
    Azure CXP Community

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