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. lubricant companies in uae

    The lubricant products improve the quality of production and reduce the downtime. We mainly concentrated on the production of internal lubricant products. The emerging number of industries increasing the requirements of lubricant products.. The "lubricant companies in uae" http://petrotek.ae/ provide ongoing solutions for special requirements. The lubricants are used to eliminate friction and wear. We deliver certified oven chain lubricant products to the market after proper testing and inspection. The leading technical expertise introduce specialized formula in lubricant production. We deliver quality products across the globe. The proper lubrication helps to reduce the health, safety and security risks. We proud…

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  2. Show recent workspaces in ML studio in workspace filter pane

    It would be good to show the recent workspaces in workspace filter pane in azure ml studio that would allow users to quickly switch from one workspace to another. There is enough landscape available on this pane too.

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  3. Azure Machine Learning A/B Testing Feedback Collection Framework

    Azure Machine Learning should support an established framework to collect model performance feedback based on real time production execution rather than just the initial statistical evaluation provided by Data Scientist. This also needs to integrate with AML Experiments/AML Model Registry so that in cases where models are being trained frequently (due to less data for example) , the system can automatically identify that A/B testing is not good and the previously successfully running model can be automatically be reverted to. The reversal would also have to be coordinated with Data Scientists possible in form of approval notifications

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  4. 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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  5. rename clusters

    I don't see a way to rename a compute cluster

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  6. 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…

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  7. Allow importing data from on-prem databases like Vertica, Oracle etc.

    We are going through a tool selection process for Machine Learning, and we think that Azure Machine learning fits most of our requirements, however one major drawback is that we cannot connect to other on premise databases other than Microsoft SQL server. Allowing multiple data source connectors gives much more flexibility as compared to other tools in the market.

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  8. 1 vote
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  9. MT-DNN-BERT Model inside Visual Interface of Azure ML Studio

    Any project need to use Semantic Models, badly need use either MT-DNN or BERT, can you please include MT-DNN or BERT Model inside Visual Interface of Azure ML Studio. Because that gives Azure edge over other AI Platforms DataRobot, other wise many customers move to other AI Platforms. I need to use either MT-DNN or BERT in my project. As per Gardner/Mckinsey report is saying more Intelligent Chat Bot with muliti lingual requirement flooding all over the world ever before in the AI.

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  10. Please add API that can show that upper /lower Part separatley that "RunDetails().show()" draw.

    About using Auto ML with "RunDetails().show()" of "Azure Machine Learning Service Python SDK" ,
    Please add API that can show only that upper Table Part that "RunDetails().show()" draw.
    Also, Please add API that can show only that lower Chart part that "RunDetails().show()" draw.

    *please check attachment that show the upper table part and lower chart part.

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  11. support for value added reseller scenarios

    suppose you want to build azure ml into an application targeted at non-technical users, and you wanted to
    - allow them to try out a machine learning feature of your application by using a trial (no-credit-card) version of azure ml studio
    - offload management of the ml trial period and quota (trial licensing security) to azure
    - provision the free azure ml studio account with an arm template

    is any of this possible right now? will it ever be?

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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  12. By ending it.

    This is an avenue to enforce the illegal critical race theory.
    End it!

    1 vote
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  13. Script parameters in Azure ML portal

    The RunDetails widget displays the script parameters of the Estimator that were used for that Run. It would be great if they were also displayed on the Azure portal. Furthermore, i would like to be able to search and filter Runs based on the script parameters used.

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  14. 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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  15. 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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  16. Azure Machine Learning Designer In AML Studio Model Evaluation, Curves Not Adjusting With Threshold Change

    AUC curves do not adjust in Evaluate Model result visualization along with the threshold adjustment although the confusion matrix does

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  17. Don't silently fail when an ARM template attempts to change an unchangable parameter

    When an ARM template attempts to change a workspace parameter that cannot be changed (such as hbiWorkspace), the template deployment succeeds without any error or notice even though the parameter specified in the template has not taken effect.

    This is counterintuitive at best, and also inconsistent with how other Azure resources work: those do throw an error when you try to change an unchangable parameter using an ARM template.

    Please fix this by always failing the ARM template deployment when the template tries to change an unchangable parameter.

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  18. support deployment for TF2.0

    it is un-acceptable that training support TF2.0, but deployment doesn't.

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  19. can't see error message of "New datastore"

    When you run "New datastore" of the Import data module in Designer of the AML portal, if the datastore creation fails, no error message is displayed.
    Please change this behavior.

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  20. Executing to_pandas_dataframe() results in "Out of Memory" even when using a VM with a large RAM size

    Executing to_pandas_dataframe() on a few GB dataset, "Out of Memory" occurs.

    The following site says "For instance, data in CSV files can expand up to 10 times in a dataframe, so a 1-GB CSV file can become 10 GB in a dataframe", but using STANDARD_DS15_V2 also occurs.
    https://docs.microsoft.com/en-us/azure/machine-learning/concept-optimize-data-processing#pandas-dataframe

    I know pandas doesn't work well with a few GB of data, but I hope it improves.

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