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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. How do i find out what is taking up my storage in the Free Azure ML Workspace?

    When I go to my Datasets, the biggest one i see is a 15MB file twice, so how is it that my Workspace says it is over the limit. Please provide a way to identify and delete whatever is taking up space in my workspace.

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  2. Integrate with Azure Time Series Insights

    Azure ML allows me to collect inputs going into the prediction service. Why not integrate with the awesome and powerful Azure Time Series Insights service to help me analyze how this data is changing over time?

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  3. My account has access to 5 tenants. It seems as if it is only checking the default tenant before telling me I do not have access to my sub.

    I am trying to run Jupyter notebooks in a ML workspace in my sandbox environment. My default tenant is our production environment. It appears as if the azureml python authentication is only checking the default tenant before telling me I do not have access to me subscription.

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  4. AKS cluster remove models

    Bring the ability to remove particular models, and closing the containers from deployments onto an AKS cluster without deleting the cluster

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  5. Any plans to for ML Studio to support Teradata?

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

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  6. 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.

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  7. 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.

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  8. 1 vote
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  9. it sucks literally.

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

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  10. 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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  11. 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.

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  12. 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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  13. 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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  14. Logistic Regression

    It's very useful for beginners. If I want to use the logistic regression algorithm, how can I do that?

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  15. Train Azure Model on Voice

    Need model which can be trained on Voice.

    Core idea would be, Call center has data Comprising of Label "Customer Complaint" and Feature "Issue description"

    Sample "Customer Complaint" would be Billing issue or Internet speed

    Sample description would be "Hey i was paying $x but the price went up by $y, can you apply some promotion to being my monthly bill down by $z"

    the webservice will take Voice input Issue Description & should product either voice/text output Customer complaint

    We would want to train ML model with the data and deploy as web service. THis way when the consumer…

    1 vote
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  16. Issue using a CSV were last entry in each row is a comma

    I have a CSV with following format:

    X1,X2,y
    0,2,0,
    1,2,1,
    2,2,2,

    All rows have 3 columns, but each row has a final comma.

    If I use a file like that to train an AutoML model using Python SDK, a new RAW column is added with name ColumnX. Thus if I want to deploy the model and use it I need to send a request with columns: X1, X2, and ColumnX.

    Code I'm using to get raw columns:

    run = AutoMLRun(exp, "experimentid")
    , bestmodel = run.getoutput()
    [x["RawFeatureName"] for x in bestmodel.namedsteps["datatransformer"].getfeaturizationsummary()]

    Not sure where…

    1 vote
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  17. Make Tabular Dataset from_sql_query() method more like SQL alchemy or equivalent

    The SQL syntax for querying Azure ML datastores (eg Azure SQL) is extremely specific and tricky to get right, for example new lines and tabs for readability are not supported, and weirdly nor is the ORDER BY clause. I propose making the query syntax more akin to that supported by the open source sqlalchemy package. Given that many people already use this, it will also make the lift and shift to Azure ML much easier for people, rather than having to rewrite / reformat programmatic query strings.

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  18. Love this idea, really!

    Azure Storage Explorer can save you a bit of hassle from I've seen. Great idea really.

    1 vote
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  19. 1 vote
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  20. Issues with R Package installation on ML Studio , due to old version

    We were trying to run a R program with two libraries ‘tidyverse’ and ‘tabulizer’ in ML studio with Microsoft R open 3.4.4. And looks like the libraries require higher version of R in ML studio.
    Given below is the error message we are getting.

    Can you help us to resolve this issue or support us by providing an alternative option.
    Thank you.

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