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. 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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  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.

    1 vote
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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. it sucks literally.

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

    1 vote
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  11. 1 vote
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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. 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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  14. 3 votes
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  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?

    1 vote
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  16. 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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  17. 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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  18. restrict access to Storage Account when using ML

    Currently the access to the required storage account cannot be restricted when using ML. For security reasons it is wise to restrict access ("firewalls and virtual networks")

    1 vote
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  19. 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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  20. 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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