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. Is it possible to change the web service URI from ".../score" to a custom name?

    I'm trying to replace an existing web service in Microsoft Dynamics that was using a model from Azure Machine Learning Studio. It has a hardcoded endpoint suffix like "/predict". For the Azure ML Service I'm building to replace it, there seems to be a hardcoded suffix called "/score" instead in the web service URI.

    Can I customize this? I'd like to replace "/score" with "/predict" etc so that I can swap out the new model.

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  2. Improve model portability

    Allow easy identification of all of an ML studio models components and exporting of these to new workspaces. Currently copying has major limitations such as data set size, workspace location etc. Datasets get duplicated when used in multiple models during the copy etc. It should be possible to select and copy multiple experiments or projects and have the copy process bring along everything that is needed including training experiments, predictive experiments, transformations and web service parameters etc. without creating duplication.

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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

  3. Mark models as faulty

    We would like to manually mark some models as faulty so that they cannot be used or restored.

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  4. Create notebook from docker image

    I'd like to create a notebook from a docker image in my private container registry so that I can test out the pieces of my azure ml experiment that failed. It seems like you can't create a notebook with a docker image or conda environment which makes it tedious to set up a custom environment. Thanks for considering this feature!

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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  5. AML pipeline with ADF step

    Is there a plan to support ADF as an AML pipeline steps ?
    The use case would be to leverage the extended ADF pipeline capabilities to prepare Data before it is used for training.
    Also, Data Engineer and Data Scientist would benefit from Data Lineage understanding through feature like Data Flow.
    I appreciate your feedbacks.

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  6. Is there a way to attach Data Bricks Cluster which is in a different resource group

    Is there a way to attach Data Bricks Cluster which is in a different resource group

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    need-feedback  ·  2 comments  ·  Flag idea as inappropriate…  ·  Admin →
  7. Please replace the UserVoice forum software used here for posting feedback

    Please replace the UserVoice forum software used here for posting feedback.

    It is user-unfriendly, a torture to work with, not maintained, lacks documentation and can likely never be fixed. It seems that it's well past the point where improvements can be made to this system.

    It's beyond me to understand why the new Microsoft (which just organized an amazingly successful MSBuild 2020) allows itself to be associated with such a poor user experience.

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  8. 1 vote
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  9. vertaling naar NL = bagger

    engelse vertaling van Azure ML is abominabel, kan echt niet zo..

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  10. Bring your own Compute Cluster

    It would be great if there was a supported method to allow support for a local cluster or compute device. (such as Azure Stack Edge)

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  11. Add feature to plot "Mean plot"

    Facilitate the feature of having a "Mean plot" to describe the relationship between Categorical vs Continuous variable.

    Below link would provide the reference details about the usage of Mean Plot.

    https://www.itl.nist.gov/div898/handbook/eda/section3/meanplot.htm

    https://www.statisticshowto.com/mean-plot-definition/#:~:text=Mean%20plot%20of%20three%20BMI,of%20data%20or%20between%20samples.

    Regards
    Srikar Muppidi

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  12. Make warning that optimiation hasn't converged more apparent.

    The evaluation of my Multiclass Neural Network wasn't all that good. In looking to see what might have gone wrong, I came across a curious warning message in the training logs:
    /azureml-envs/azureml1f1665f56e65fc1b774765297713b3cf/lib/python3.6/site-packages/sklearn/neuralnetwork/multilayer_perceptron.py:562: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.

    It would be good if this warning was more obvious. I'm re-running now with >100 iterations, but wouldn't have known to do this if I didn't comb through the logs.

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  13. Request for capability to download the Bias and Feature Weights from the Trained Model

    Request for capability to download the Bias and Feature Weights from the Trained Model

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  14. Show summary in run history

    Show the summary in run history so that you can more easily track your iterations in your experiment

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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

  15. 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

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  16. it sucks literally.

    compare your complexity to deploy vs other website deployment. it sucks literally

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  17. 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.

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  18. Add sklearn Pipeline for feature engineering chaining

    When doing repeated cross validation like k-fold, some feature transformer like normaliser/maxminscaler/feature_selector, etc should be fitted only on the training data (and then tranform the training and validation set). Otherwise some data leakage occurs.

    Therefore, would it be possible to add the sklearn pipeline object as an argument ?
    After splitting the dataset into training and validation set, automl would fit on the training set and apply the pipeline on the validation set, whatever the cv strategy

    One could then add the whole dataset and use the available cross validations strategies without

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  19. Add the Kolmogorov-Smirnov test within the "Filter Based Feature Selection" module

    The Kolmogorov-Smirnov test provides very important metrics for assessing the information value in each column, see https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnovtest#Two-sampleKolmogorov–Smirnov_test

    If you are interested, I can provide an Excel spreadsheet with relevant example.

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  20. Love this idea, really!

    Azure Storage Explorer can save you a bit of hassle from I've seen. Great idea really.

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