Update: Microsoft will be moving away from UserVoice sites on a product-by-product basis throughout the 2021 calendar year. We will leverage 1st party solutions for customer feedback. Learn more here.

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. Support Synapse Built-in SQL pool as a datastore

    I know that Syapse's Built-in SQL pool (see attached image) cannot currently be registered as a data store. Please let me know if there is a plan to support it. If it has provided as a preview, let me know how to apply.

    37 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    2 comments  ·  Flag idea as inappropriate…  ·  Admin →
  2. Support Network Isolation for Application Insights

    Azure ML currently requires you to stand up an Application Insights resource which it uses internally for telemetry information . The Application Insights resource must be on a public endpoint and unlike the rest of the Azure ML components cannot be placed on a Private Link endpoint. Applications Insights supports Azure Monitor Private Link scope, so the resource itself is capable of being placed on a private endpoint.

    Please add support to Azure ML to allow for placing the required Application Insights resource on a private endpoint.

    16 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  3. Using AML Studio features under Vnet without private endpoint

    Currently, in order to use convenient features on AML Studio (such as Designer & AutoML), it is necessary to configure private endpoint when the datastore (not default storage account) is under Vnet. If private endpoint is not available, the access to the datastore will be denied. For instance, if using dataset validation, AutoML or Designer to access dataset, the error below (attached image files) will occurred.

    It will be a huge advantage if the configuration of private endpoint can be omitted when setting the network of datastore.

    Please consider such a implements in the future.

    25 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  4. Change resource group for LB, Public IP, and NSG of Compute Instance

    Lb, public IP, and NSG, which are created when a compute instance is created behind a virtual network, are created in the same resource group as the virtual network.

    If the virtual network and AML workspace are in different resource groups, it can be difficult to understand the cost of AML.

    For the convenience of cost control, want to make improvements that LB, Public IP, and NSG are created in the same resource groups as the AML workspace or the use of a tag common to the AML workspace.

    8 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  5. Data validation component in Azure Machine Learning designer

    A dataset validation component that is aimed at the Citizen Data Engineer as typically the data is pretty dynamic.

    37 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  6. Enable managed identity for compute instance

    For compute clusters we are able to use managed identities but not for compute instances. And there are functions for the Azure ML SDK that need authentication, especially the Workspace method, which by default assumes an interactive authentication method: https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.workspace.workspace?view=azure-ml-py#from-config-path-none--auth-none---logger-none---file-name-none-

    6 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  7. Being able to use environments on the compute instance

    Currently you can use environments to standardise the compute clusters for distributed training. It would be awesome to be able to use similar logic to configure the compute instances themselves. We usually need to test our script before sending it for distributed training on the compute clusters, but then we need also to have access to the same packages and settings as on the compute cluster!

    12 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  8. Need samples using AzureMLDataset in the designer

    It is very useful to have samples for Designer that uses AzureMLDataset (exported dataset of labeled data). There is much demand, so please consider it.

    41 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  9. Please update R to 4.1 and RStudio to 1.4

    Both updates bring significant upgrades to the experience. Please update Machine Learning instances to these new versions.

    2 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  10. trawoc

                It is a hard task to find out the best and befitting backpack trading platform due to the profusion in this business. Here we, Trawoc offer you the best and cost-effective backpacks from our wide range of products. Being an e-commerce store, you are flexible to choose and buy from where you are. You will be attracted to Trawoc as we trade only the best quality, genuine products you may be searching for. It would be a one-time investment if you pick any product from Trawoc as our multiple pockets, lightweight bags suit any kind of terrain. We offer safety
    1 vote
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  11. Automatic Shutdown for Compute VMs

    It would be great if we could have the ability to automatically shut down Compute VM's at a specified time - similar to what you can do with VM's provisioned outside of the AML Portal.

    68 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  12. Auto Shutdown of idle compute instance

    Be able to have the compute instances configurable for auto shutdown after a specified period of inactivity.

    1 vote
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  13. Need to enhance the way of log collection from ACI

    When I deploy my model as an ACI, I sometimes struggle with inaccurate or insufficient log file collection. I think if there are better way to grab log or more specific log, it will help us to investigate the issue more accurately.

    Currently, the way of grabbing log is both using UI or python code. But both don't provide enough log so we need to better way to collect log.

    Especially, there is some problem, so the container's status is waiting, there is no way to collect log.

    Thank you

    1 vote
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  14. 17 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  15. 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
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  16. Enable browsing files during dataset creation with saved credentials

    Currently, it is impossible to browse files during dataset creation in gen2 datastore with saved credentials of service principal, which makes user experience worse, as service principal credentials are necessary to enable other features (like schema inference). Currently, no combination of options exist that would enable all 3 listed features:

    (Dataset preview without profiling, Schema inference, Dataset browsing during creation)

    I think that all three features should be enabled with both managed identity and saved credentials turned on.

    3 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  17. Allow uploading data to data lake gen2 datastore from SDK

    Uploading data to gen2 datastore is now possible only via experiments. It would be very handy if it were possible via pure SDK.

    3 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  18. flooring companies in dubai

    While building a house all of them different have concepts and opinions. Because it is the dream of all of them so they want the best outcome. When building the house all the people want the best products to built the house. So lots of builders are rising up day by day. All the builders are try to deliver the best for the clients. While building a house the important parts is flooring ,painting , interial decorations etc. All these three parts are linked together. Because while considering in interial decorations the important part is the style, colour and quality…

    1 vote
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  19. 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
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  20. Trained Models created within Azure ML designer convert to ONNX format

    Azure Machine Learning Designer Train Model module generated “Trained_model” files are currently in MS private format. I am looking for options that enable the model file interoperable outside of Azure Machine Learning platform components, so that I can natively embed the model file within .NET or Java application to run as a application process or expose as a REST API and consume within .NET client applications. Also, export the model artifacts into ONNX format will help. ISV developers can host the Azure ML designer models natively within product suite to provide cost effective solution to customers and manage the ML…

    2 votes
    Vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
← Previous 1 3 4 5 12 13
  • Don't see your idea?

Machine Learning

Categories

Feedback and Knowledge Base