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. 14 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  2. Add Object Detection Module in Azure ML Designer

    Though It is easy to create an image classification model in Azure ML Designer by using DenseNet or ResNet module, it's more convenient if some object detection modules can be provided in designer.

    13 votes
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  3. 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.

    12 votes
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  4. 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.

    10 votes
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  5. 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

    10 votes
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  6. Ability to run experiments without using SSH port

    A lot of enterprise customers have concerns opening SSH port even with VNet enabled and using Azure ML service tag.

    We should find a way to run experiments on computes like DSVM without opening up access to SSH port.

    10 votes
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  7. Enable Forecasting models when lagging features are enabled

    Currently, Forecasting models are disabled when user uses lagging features such as target lags and/or rolling windows. They should be added to the roadmap and made available even when lagging features are enabled.

    https://docs.microsoft.com/en-us/python/api/azureml-automl-core/azureml.automl.core.shared.constants.supportedmodels.forecasting?view=azure-ml-py
    -> 'AutoArima','Prophet','Average','Naive','SeasonalAverage','SeasonalNaive'

    9 votes
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  8. Increase arbitrarily small metrics document limit (3000b)

    Remove the 3000b limit for metrics:

    azureml._restclient.exceptions.ServiceException: ServiceException:

    Code: 400
    
    Message: (ValidationError) Metric Document is too large, 3195b is larger than the max metric size 3000b.
    Details:
    Metric Document is too large, 3195b is larger than the max metric size 3000b.

    This is from running .log_table with only 5 integers (and associated short strings)

    9 votes
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  9. Add detailed model training progress information in Machine Learning Studio experiment view

    At now, the only training progress indicator in experiment view is a time elapsed counter. The idea is to extend number and types of possible counters while the model is being trained. Such information could possibly be: current training iteration, progress percentage, etc.

    9 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →

    Hi Azure Customer,

    After internal review, this feature request is not currently in the roadmap. We will keep this feedback open and watching for additional upvotes for future priority considerations. Thank you for your feedback again ^^

    Regards,
    Azure CXP Community

  10. 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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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  11. Don't have invisible meta data from scoring, that cannot be replaced

    It turns out that the Score activity in the Designer, adds some invisible meta data, called Score, that if you do any Arithmetic work on, will remove that metadata on the column, and make the Evaluator stop working. Just spent about 14 tech support calls tracking this down.

    Here is what he said:
    This is because the Evaluate Model module is expecting a ‘Scored Dataset’, which means the Score columns (predicted column, Scored Labels, Scored Probabilities) all have metadata assigned to them so that their ‘Feature type’ is Numeric/String Score instead of Numeric/String Feature. Passing the scored dataset into ‘Apply…

    8 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  12. Be able to write results to SQL tables through Datasets and Datastores

    Currently it doesn't look like it is possible to directly upload the results of a batch Azure ML job to a SQL database that has been registered within the workspace as a datastore. The SQLDataReference class exists, but none of the methods work: https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.data.sqldatareference.sqldatareference?view=azure-ml-py

    It would be great to be able to easily write ML results to SQL databases that the service principal has write access to.

    8 votes
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  13. Please add function that notify some email when Experiment's Runs is failed

    I hope a function that notify some email when Experiment's Runs is failed.
    I can know whether there is error or not if I open their Experiment manually now.
    But when I run experiment automatically, I want to notify to some email if experiment's Run is failed.

    8 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →

    Dear Azure Customer,

    Thanks for the feedback. Your feedback is very important to us. Our engineering team will investigate it and consider your feedback seriously. We will get back to you soon.

    Thank you for understanding.
    Azure CXP Community

  14. Add segmentation to data labeling tool

    You have bounding box labeling but not anything to help with segmentation.

    7 votes
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  15. Support Python 2.x

    Please support Python 2.x as many frameworks still use it.

    7 votes
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  16. Migration from Azure Machine Learning Studio to Visual Interface

    Ideally this should be done automatically for us, but I'd be happy with an export/import flow that lets us migrate manually.

    7 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →

    Hi Azure Customer,

    Our plan is to support convert the Studio experiment to visual interface experiment. Model and web service are currently out of scope. Thank you for your feedback and please keep eyes on it.

    Regards,
    Azure CXP Community

  17. Add PowerShell to Azure Notebooks

    Please add and improve the kernel for Windows PowerShell/Powershell Core/6/7 to Azure Notebooks.
    PowerShell should be treated as first citizen language and there are a lot of usecases for teaching with Azure Notebooks.
    Alternatively provide an option to load custom kernels.

    7 votes
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  18. Default dependency improvement request for ReinforcementLearningEstimator instances

    The following settings of script parameters are not available in the default environment, and you must install tensorflow==2.1.0 and tensorflow_probability==0.9.0 using the pip_packages parameter.

    >training_algorithm = 'SAC'
    >rl_environment = 'Pendulum-v0'

    Since SAC is a new and very powerful algorithm, it is in high customer demand, so please make it available in the default dependency.

    6 votes
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  19. Link Dataset, Experiment, Image, Model, Deployement

    As part of managing the whole Data Science Process within Azure ML, is there a way to link a Dataset, an Experiment and related produced Image, Model and Deployment, apart from description.

    6 votes
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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.

    6 votes
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