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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. Model data collection for ACI deployed models

    As far as I can tell from the documentation it is only possible to enable data collection on models deployed AKS. In scenarios where it is not desirable to create and manage Kubernetes in a production environment it would be useful to have this feature also for ACI based deploys.

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  2. Allow connecting a container registry from a different AAD tenant

    It's already possible to link an "Azure Container Registry" from a different subscription to a "Machine Learning service workspace", but that subscription has to be in the same AAD tenant.

    I'd like to be able to connect an "Azure Container Registry" from a different AAD tenant, so that we can have one central container registry for all our projects/environments, which are using different subscriptions in different AAD tenants.

    1 vote
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  3. Save Trial Standard ML Studio Experiments to Free account

    I decided to learn Azure ML on the trial version. When the trial ended, all of the experiments that I had built to learn how to use it are now all inaccessible because now I am on the free mode. I used nothing in the trail mode that is not on the free mode. I think these files should transfer over or should be easily moved to the free workspace. People should at least be told that all of the their stuff is going to basically be deleted after the trial ends and will not be saved in the free…

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  4. Have an option in the UI to overwrite existing model deployment...

    Currently, when deploying a model via the UI, if a deployment with the same name is already present, nothing happens and no pop-ups alert as well.

    There should be an option to overwrite an existing deployment with the latest inference scripts

    1 vote
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  5. Support in AutoML, and pipelines, for Word2Vec libraries, such as Gensim, etc.

    Currently there is no support for these libraries.
    Even manual python scripts in the Pipeline require a DataFrame as input, which is always not possible in case of text-processing and word2vec algorithms.

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  6. In the Australia East Region, "Create New" fails with the "Set up compute target" of the Designer feature.

    Create New is fixed to Standard Dv2 family by default. In the Austoralia East region, the creation fails because the quota for dv2 family is 0.
    I want you to be able to choose the virtual machine size in the future.

    1 vote
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  7. Automated ML UI - Featurisation Setting Setting greyed out for Time Series

    I can't select the featurisation setting under automated ml from the UI for Time Series Forecasting but can for classification and regression.

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  8. az ml model (CLI) deploy/package without "--model" argument

    With Python SDK, you can both deploy and package models passing an empty list as argument of "models".

    Like:


    package = Model.package(ws, [], inference_config)
    package.wait_for_creation(show_output=True)

    Why can't we do the same thing with CLI?

    1 vote
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  9. Passthrough authentication for Azure ML Datastores and Datasets

    Currently the Datastores and Datasets in Azure ML Workspace can be used by all members of the Workspace. Only the Datastore/Dataset creator needs access to the source data. This can be problematic in cases when deciding the Workspace scope in enterprise environments.

    Please add option to use passthrough authentication in Datastores & Datasets for more granular control of access rights.

    1 vote
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  10. Bring your own Compute Cluster

    It would be great if there was a supported method to allow support for a local cluster or compute device. (such as Azure Stack Edge)

    1 vote
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  11. Create pipelines inside other pipelines in the designer

    In the designer I would like to create 'high level' pipelines, in which the nodes are other pipelines. This is a standard in ETL tools.
    For example, I would like to create a 'main' pipeline with 3 nodes (data prep, model training, scoring) and clicking in one of these nodes I find a detailed pipeline. Moreover, inside a pipiline (e.g., model training) I would like to have n pipilines (e.g., an additional data preparation specific for the n models I want to train).
    In my opinion, without this possibility, the pipeline will become very confusing for big projects

    1 vote
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  12. 1 vote
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  13. 1 vote
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  14. Experiment stuck at "Queued"

    My experiment is stuck at "Queued" and I can't seem to get help from anyone or anywhere. Please help.

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  15. 1 vote
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  16. Preprocess text Remove URL Is Not Working Correctly

    When using text preprocesisng I am noticing that when removing urls it is removing way more than the URL. If there is text between two URLs it is finding them to be a single URL and removing all text between. It seems to have something to do with the existence of a period some place after a URL is found.

    1 vote
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  17. vertaling naar NL = bagger

    engelse vertaling van Azure ML is abominabel, kan echt niet zo..

    1 vote
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  18. Add feature to plot "Mean plot"

    Facilitate the feature of having a "Mean plot" to describe the relationship between Categorical vs Continuous variable.

    Below link would provide the reference details about the usage of Mean Plot.

    https://www.itl.nist.gov/div898/handbook/eda/section3/meanplot.htm

    https://www.statisticshowto.com/mean-plot-definition/#:~:text=Mean%20plot%20of%20three%20BMI,of%20data%20or%20between%20samples.

    Regards
    Srikar Muppidi

    1 vote
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  19. Retail ERP Phoenix

    usually integrated enterprise management system Retail ERP phoenix designed to automate all operations of a growing business including sales, purchasing, accounting, inventory control, production control and payroll. Phoenix group believes that technology ,if used correctly can be a great asset in building and maintaining strong , profitable business, we also understand that these technological tools are only as effective as the people operating them and therefore emphasize the importance of proper training and implementation. with all this considered . The Retail ERP phoenix software platforms are the pinnacle of business integration and ensure all of yours valuable information is organized…

    1 vote
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  20. Use block print to establish an individual algorithm: normal handwriting is too variable but block prining has fewer variations.

    Assume that BLOCK PRINT - not cursive scripts - is being used: the computer cannot cope with a script that varies from one line to the next.

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