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. error during "ws = Workspace.from_config()"

    When I run the command "ws = Workspace.fromconfig()" in the notebook I get an error. The error is "AuthenticationException: You don't have access to d9c30d04-f393-4fbb-87fa-4b75ef106734 subscription. All the subscriptions that you have access to = [SubscriptionInfo(subscriptionname='P-CSA 250$', subscription_id='13c3cc54-b676-4845-9974-a4e7f6c8b175')]. Please run 'az login' or set d9c30d04-f393-4fbb-87fa-4b75ef106734 as default subscription and retry". The subscription d9c30d04-f393-4fbb-87fa-4b75ef106734 exists. It is on this subscription that I have created the machine learning workspace.

    1 vote
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  2. Trail between experiment and models

    We would like a way of tracing a model back to the experiment run that created it.

    1 vote
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  3. Azure ML Chain

    Most of the real life applications of ML need layered chained algorithms wherein output of one algorithm will be fed into input of another.

    Can we see new module in Azure ML for Chain models to choose from in a drag and drop fashion.

    2 votes
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  4. When are you planning to upgrade the CRAN R version on ML. Is this an option or not on the cards for the near future?

    Is this on your road map or not? Need to know for purposes of functional technology

    1 vote
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  5. 1 vote
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  6. excel

    ML Excel extension support MAC version

    1 vote
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  7. keras in R

    Need support for Keras in R

    1 vote
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  8. AzureML should support to open multiple experiments in terms of tabs/pages simultaneously.

    Allowing editing or reading multiple experiments simultaneously will help to reuse any existing experiment flow.
    This will help to easily navigate to between experiments and use/update required information.

    1 vote
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  9. tensorboard profiler is absent from azureml-tensorboard

    It's not installed when you start a cluster with azureml. To fix, pip install -U tensorboard-plugin-profile where tensorboard is run. Without this, ppl using AzureML can't easily profile memory use or IO of their models as models are training or doing inference. I can't find any guides on how to do this with Azure ML.

    0 votes
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  10. 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.

    0 votes
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  11. support deployment for TF2.0

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

    1 vote
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