Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure)

← Customer Feedback for Microsoft Azure

My feedback

  1. Option to allow training for more than 24 hours

    2 votes
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    triaged  ·  3 comments  ·  Machine Learning  ·  Flag idea as inappropriate…  ·  Admin →
    Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) commented  · 

    Are you using low priority queue or dedicated? I'm assuming low priority queue because of your title. If you select dedicated, then, you should not have any 24 hour restriction.

  2. Ability to run experiments without using SSH port

    7 votes
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    0 comments  ·  Machine Learning  ·  Flag idea as inappropriate…  ·  Admin →
    Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) shared this idea  · 

  3. Role based access needed for Azure ML Service

    5 votes
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    0 comments  ·  Machine Learning  ·  Flag idea as inappropriate…  ·  Admin →
    Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) shared this idea  · 

  4. Mark models as faulty

    1 vote
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    1 comment  ·  Machine Learning  ·  Flag idea as inappropriate…  ·  Admin →
    Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) shared this idea  · 

  5. Trail between experiment and models

    1 vote
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    0 comments  ·  Machine Learning  ·  Flag idea as inappropriate…  ·  Admin →
    Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) shared this idea  · 

  6. Provide Pip wheels for common Python packages

    6 votes
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    1 comment  ·  (General Feedback)  ·  Flag idea as inappropriate…  ·  Admin →
    Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) commented  · 

    We have added a new feature called the Notebook Service that allows launching Jupyter with Python 2 and 3 support from Azure ML.
    http://blogs.technet.com/b/machinelearning/archive/2015/07/24/introducing-jupyter-notebooks-in-azure-ml-studio.aspx

    We also released a new feature that enables publishing models and functions as web services directly from Python - running locally (e.g. on Jupyter). The following blog post provides an example on how to use this feature.
    http://blogs.technet.com/b/machinelearning/archive/2015/08/21/build-and-deploy-a-predictive-web-app-using-python-and-azure-ml.aspx

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