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. Ask for more unsupervised Models as Train Anomaly Detection Model in the Designer

    AML Studio (classic) supports One-Class SVM, but Designer does not. I would like Designer to support more unsupervised Models, such as One-Class SVM and Local Outlier Factor.

    36 votes
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  2. Allow to modify the bounding boxes during the review of labeled data

    We are currently working on an object identification project. We need to label a several number of different objects on one single image.
    Currently, we can only choose to accept/reject the entire image when reviewing the labeled data even there is sometimes only one mis-labeled object.
    We'd like to be able to adjust the bounding box when it is mis-labeled instead of rejecting everything else.

    11 votes
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  3. Support python 3.7

    Support running Python 3.7 scripts

    5 votes
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  4. 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?

    36 votes
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  5. Segregate a Workspace across multiple projects.

    Allow us to organize 1 workspace in several projects, allowing greater governance and cost sharing between projects.
    In this case, make it possible for us to create project folders where each folder / project has its associated objects, where we can implement access profiles for its objects.
    We would continue sharing processing clusters, but we could segregate registered models, pipelines, datasets, etc. by project folders.

    Today, as it is, we only achieved this segregation by assigning 1 workspace for each project.
    And this strategy of 1 workspace per project will make projects more expensive, because today, a trainning cluster cannot…

    19 votes
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  6. allow specifying the resource group of a virtual network when creating an container instance (endpoint) using the sdk (and portal).

    when running through the mnist tutorial with our setup i run into the following problem.

    aciconfig = AciWebservice.deployconfiguration(cpucores=1,

                                               memory_gb=1, 
    
    vnet_name="vnetname",
    subnet_name="subnetwithdelegation",
    tags={"data": "MNIST", "method" : "sklearn"},
    description='Predict MNIST with sklearn')

    there is no way to define the resource group of the virtual network in the deploy_configuration method and it defaults to the resource group of the machine learning services workspace. it would be nice to define the resource group name here so i can connect to a different vnet

    2 votes
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  7. Ability to export code or script generated within Azure ML Designer

    Option to export code generated within Azure ML Designer.This code can be further used to modify and help accelerate custom ML development with Azure ML SDK.

    2 votes
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  8. 남예주

    입력 데이터 세트의 열 수가 허용 된 최소값보다 적습니다. 2 열. "}} 오류 : 오류 0020 : 입력 데이터 집합의 열 수가 허용 된 최소 열 2 개보다 적습니다. 프로세스가 오류 코드 -2로 종료되었습니다. 이 오류 표시를 정확하게 뜨게 해주세요.

    3 votes
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  9. 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.

    0 votes
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  10. 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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  11. 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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  12. Deploy the model to Azure Functions in the Designer

    There is a request to deploy a designer-generated model to Azure Functions. Are there any plans for future development?

    3 votes
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  13. vertaling naar NL = bagger

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

    1 vote
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  14. Can I use custom definition script in algorithms modules?

    So we can use Net# in this environment. Just like studio.azureml.net.

    2 votes
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  15. 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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  16. How to save ContainerEvents for model-deployed ACI

    Can't save ContainerEvent to Log Analytics because Azure ML can't create logging-enabled containers. It would be better to be able to get the following logs.

    https://docs.microsoft.com/en-us/azure/container-instances/container-instances-log-analytics#view-events

    3 votes
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  17. 1 vote
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  18. 3 votes
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  19. Experiment stuck at "Queued"

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

    1 vote
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  20. Visualize support for Designer's Train Model module

    Ml Studio (classic) was able to visualize the result, but Designer doesn't seem to be able to do it. To view the model parameters and feature weights, it's better to support Visualize.

    1 vote
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