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.

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  1. 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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  2. Deploy same name service in Azure machine learning workspace service.

    In Aml workspace, we are allowed to add multiple Compute assets for a type. Ideally ml services should able be deploy on both AKS cluster but due to some reason, same named service can't be maintain in Deployment asserts. For example, I can have two AKS Compute resource in a workspace named as AKS1 and AKS2 and service named as 'intelligentAgent'. This service can be deploy in AKS1 but I have trouble deploying same service in AKS2.

    I need to do this to maintain services for BCP and disaster recovery.

    Could you please allow same named services on different AKS…

    5 votes
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  3. Need hyper parameter tuning for ML models

    Should allow to tune hyper parameters in order to improve algorithm performance. Implement Grid search, Randomized Search and Hyperopt for parameter tuning.

    4 votes
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  4. Need drop-out parameter for neural network

    The neural network for custom script should put a dropout rate parameter or at least tell us the code for doing dropout in the custom script. Thanks

    4 votes
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  5. 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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  6. 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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  7. 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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  8. 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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  9. it sucks literally.

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

    1 vote
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  10. 1 vote
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  11. Please add support for federated learning in AML

    More and more users are opting not to send their data back to cloud. In order to respect user privacy and scale the training of our ML models, it would be great if AML would support federated learning.

    4 votes
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  12. 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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  13. 3 votes
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  14. ML studio Experiments page to allow folders

    In ML Studio, at experiments, we need to allow a user to create folders to organize various projects. Usually one creates different experiments to tackle the problem in different ways. In the end, maybe only one or two experiments are put to use. However, the user would like to retain all prior experiments for future reference on what was tried. It also helps to allow user to add a Readme.txt to go along with each project to document. In our case, a workspace is shared, and the person who created the experiments may leave. In addition, after two years I…

    4 votes
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  15. Add the Kolmogorov-Smirnov test within the "Filter Based Feature Selection" module

    The Kolmogorov-Smirnov test provides very important metrics for assessing the information value in each column, see https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnovtest#Two-sampleKolmogorov–Smirnov_test

    If you are interested, I can provide an Excel spreadsheet with relevant example.

    1 vote
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  16. We need an example of using AutoML in Azure DevOps rather than a simple sklearn model in the Python MLOps example?

    Pelase Add good example in AzureDevOps using a video tutorial on your websiten rather than the MLOPs Python sample and how we can use it in Azure DevOps.

    3 votes
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  17. We have to be able to export experiment in AML Studio so that it can be imported later with another account

    I developed an experiment in AML Studio and deployed it as a web service.

    I would really appreciate it if I can I export it so that it can be imported later with another Azure Account and it can be redeployed again (in case that i don't have my account anymore or i delete my current experiment)

    5 votes
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  18. Spelling error in Azure Machine Learning Excel Add-in

    "Predicting will override exising values." should read "Predicting will override existing values."

    New product. Great stuff.

    1 vote
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  19. Any plans to for ML Studio to support Teradata?

    Any plans for ML Studio Import/Export module to support Teradata?

    1 vote
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  20. improve new visual interface run execution performance (it's that bad...)

    ml studio was already slow, for the new visual is several times worst, even after creating the default 2 node cluster, things that took one minute on ml studio now go up to 8-10 mins on visual preview?understand the tracking happening below, cluster overhead and all that, but the point is, as it is, it's unusable, some screenshots ...
    https://twitter.com/rquintino/status/1126263499821387776

    15 votes
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