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.


How can we improve Microsoft Azure Machine Learning?

You've used all your votes and won't be able to post a new idea, but you can still search and comment on existing ideas.

There are two ways to get more votes:

  • When an admin closes an idea you've voted on, you'll get your votes back from that idea.
  • You can remove your votes from an open idea you support.
  • To see ideas you have already voted on, select the "My feedback" filter and select "My open ideas".
(thinking…)

Enter your idea and we'll search to see if someone has already suggested it.

If a similar idea already exists, you can support and comment on it.

If it doesn't exist, you can post your idea so others can support it.

Enter your idea and we'll search to see if someone has already suggested it.

  1. Deploy a web service to AKS without a public endpoint

    It seems like the Machine Learning service currently always uses a public load balancer with a public IP when deploying a web service to AKS.

    We do not want to expose our web services to the public as that is a security risk - even with the Authorization keys. Also, even if we had to expose it, we'd prefer to use our own centralized ingress system to control the traffic coming into the cluster (e.g. via Azure Application Gateway v2).

    We therefore would like to be able to choose one of the following additional methods when connecting to AKS/when deploying…

    25 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Microsoft
    Forgot password?
    Create a password
    Signed in as (Sign out)
    Close
    Close
    You have left! (?) (thinking…)
    1 comment  ·  Flag idea as inappropriate…  ·  Admin →

  2. improve new visual interface run execution performance (it's that bad...)

    ml studio was already slow, for the new visual is several times worst, even after creating the default 2 node cluster, things that took one minute on ml studio now go up to 8-10 mins on visual preview?understand the tracking happening below, cluster overhead and all that, but the point is, as it is, it's unusable, some screenshots ...
    https://twitter.com/rquintino/status/1126263499821387776

    9 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Microsoft
    Forgot password?
    Create a password
    Signed in as (Sign out)
    Close
    Close
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →

  3. 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.

    7 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Microsoft
    Forgot password?
    Create a password
    Signed in as (Sign out)
    Close
    Close
    You have left! (?) (thinking…)
    0 comments  ·  Flag idea as inappropriate…  ·  Admin →

  4. 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.

    6 votes
    Vote
    Sign in
    (thinking…)
    Sign in with: Microsoft
    Forgot password?
    Create a password
    Signed in as (Sign out)
    Close
    Close
    You have left! (?) (thinking…)
    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
    planned  ·  Adminazurecxpuservoice (Product Manager, Microsoft Azure) responded

    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

  5. 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.

    1 vote
    Vote
    Sign in
    (thinking…)
    Sign in with: Microsoft
    Forgot password?
    Create a password
    Signed in as (Sign out)
    Close
    Close
    You have left! (?) (thinking…)
    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  • Don't see your idea?

Machine Learning

Categories

Feedback and Knowledge Base

(thinking…)
Hosted by UserVoice