Machine Learning

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Azure Machine Learning enables developers and data scientists to build advanced analytic web services in minutes and hours, eliminating the heavy lifting associated with deploying machine learning in modern data driven applications.

How can we improve Microsoft Azure Machine Learning?

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  1. Add FQDN as a parameter in Azure ML Webservice.deploy_from_image/model

    An Azure ML web service deployed to ACI gives you an IP address to request response. However, this IP address can change on its own because of some Azure Internal Events on ACI.

    The Azure Container Instance (ACI) allows you to define a FQDN which binds to the underlying IP address so that you don't have to deal with the IP Address. However, it is proving impossible to update the Azure ML deployed ACI because of various issues. If FQDN can be added as a parameter in Webservice.deploy_from_image which binds to the ACI container's FQDN, this would solve all the…

    84 votes
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      0 comments  ·  Flag idea as inappropriate…  ·  Admin →
    • Workspace ARM resource should repair missing permissions on other Azure objects (e.g. Key Vault)

      The Microsoft.MachineLearningServices/workspaces ARM resource should be able to fix missing permissions on Azure resources it depends on (such as Key Vault access policy) when it is redeployed.

      Currently, the ML Workspace creates a AAD Service Principal for itself and assigns it at least these permissions (and perhaps more) during provisioning:
      - Contributor access to the Resource Group
      - Contributor access to the Container Registry
      - an access policy in the Key Vault allowing all operations except Purge
      - Storage Blob Data Contributor access to the Storage Account

      However, if anything happens to these permissions (for example, the Key Vault access…

      11 votes
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        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
      • Enable GPU support when deploying to Azure Container Instances

        Azure Container Instances can be configured to provide GPU resources to the container (https://docs.microsoft.com/en-us/azure/container-instances/container-instances-gpu). However, there is no way to ask for GPU resources when deploying ML services via the Azure ML SDK (AciWebservice.deploy_configuration) or Azure CLI (az ml service create aci). Even if the image is built with GPU support enabled (ContainerImage.image_configuration(enable_gpu=True,...)), the image does not work properly in ACI because the GPU resources are not present.

        Please extend the SDK and CLI to allow specifying the GPU count and SKU when deploying to ACI.

        10 votes
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          1 comment  ·  Flag idea as inappropriate…  ·  Admin →
        • Open source the Azure ML SDK and CLI extension

          It would be great if the Azure ML SDK and CLI extension were open-sourced and put on GitHub (like several other Azure tools). The user community could help by fixing minor issues and adding improvements and the increased code transparency would help the users learn to use the tools correctly and understand their behavior.

          The Azure ML SDK and CLI extension are implemented in Python, so everyone has access to the source code anyway, but there is no way currently to contribute fixes to the original projects and determining the changes between versions is cumbersome.

          6 votes
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            0 comments  ·  Flag idea as inappropriate…  ·  Admin →
          • Option to allow training for more than 24 hours

            The utilities available in ML Studio is really convenient for me, however my dataset (around 1m rows) is taking too long to train, and I am only using a 2 layer FC NN. I think most of us won't mind paying for it.

            2 votes
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              2 comments  ·  Flag idea as inappropriate…  ·  Admin →

              Hi, When I responded. I was under the impression that you were using AML services and not AML Studio. For AML services, there is an option to choose low priority VM. https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-set-up-training-targets

              I’m not familiar with AML Studio so I am going to leave this question open. If you are new to AML studio and the adoption to AML services, isn’t going to be too high, it maybe worth considering using AML services.

              Thank you and Happy New Year!

            • Add additional rules for autoscale of Machine Learning service Compute targets

              I know that it is possible to set rules for autoscaling of compute targets in the Machine Learning services. I am using this feature extensively and have got a request on how to improve the autoscaling. Since I know that I usually will have need for a specific number of nodes in my different compute targets, but also that from time to time I would like to add a few more, I would like to be able to set up different rules for 'Idle seconds before scale down' depending on how many nodes I have at the moment.

              Say for…

              1 vote
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                1 comment  ·  Flag idea as inappropriate…  ·  Admin →
              • 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
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                  0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                • Model data collection for ACI deployed models

                  As far as I can tell from the documentation it is only possible to enable data collection on models deployed AKS. In scenarios where it is not desirable to create and manage Kubernetes in a production environment it would be useful to have this feature also for ACI based deploys.

                  1 vote
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                    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
                  • is this forum still alive?

                    Any roadmap for ML Studio?
                    I see very old posts...

                    3 votes
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                      1 comment  ·  Flag idea as inappropriate…  ·  Admin →
                    • Script parameters in Azure ML portal

                      The RunDetails widget displays the script parameters of the Estimator that were used for that Run. It would be great if they were also displayed on the Azure portal. Furthermore, i would like to be able to search and filter Runs based on the script parameters used.

                      1 vote
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                        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                      • 1 vote
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                          0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                        • LUIS bulk edit option

                          Bulk edit(uploading of utterances in bulk) option in LUIS is not found as easier in other platforms . Here through API also each time it creates a different APP ID where in again it has to be updated in azure and restart the app.
                          Any other option LUIS has to upload utterances in bulk without changing the existing APP id/ model id

                          1 vote
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                            0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                          • Hi Team I am unable to install some packages

                            install.packages("data.table")
                            install.packages("ranger")
                            install.packages("dtwclust")

                            1 vote
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                              0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                            • Improve the amount of info provided when Send fails in the Test in Web Chat blade for Cognitive Services chat bots

                              Azure Portal "Test in Web Chat" blade for bots could be much more helpful. Have a "show errors" option that defaults to on.

                              When an error occurs, instead of the cryptic "couldn't send" error, at least show the HTTP error, if any. Client knows whether bot is alive or not and maybe bad path or internal server error.

                              If Application Insights is enabled for the bot's web app, dump the AI data for the request to the web page, or provide a link where it can be downloaded, instead of me having to dig for the specific AI data.

                              1 vote
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                                1 comment  ·  Flag idea as inappropriate…  ·  Admin →
                              • Add description tag for azureml.train.hyperdrive

                                Currently when registering a best run model from a hyperdrive run instance, there is no way to add model description.

                                e.g:

                                from azureml.train.hyperdrive import HyperDriveRunConfig

                                hypertune_config = HyperDriveRunConfig()
                                hyperdrive_run = exp.submit(config=hypertune_config)
                                hyperdrive_run

                                # no way to add a description tag here
                                model = best_run.register_model(model_name='model', model_path='outputs/model.pkl')

                                The current workaround is to re train a single model after finding the best run parameters and registering the model with the description that way. This is cumbersome

                                1 vote
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                                  0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                • Increase LUIS Utterance character limit

                                  Increase the current character limit of a LUIS Utterance from 500 to 1000

                                  1 vote
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                                    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                  • Move free workspace to another region?

                                    I have a free workspace which is currently in the South Central US region. How can I move this to my local region (West Europe)?

                                    1 vote
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                                      0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                    • Where can I open an issue against Azure ML Studio

                                      I use Azure ML Studio with Python script execution. I got the following error:
                                      ```
                                      Error Message: Execute Python Script RRS : Error 0085: The following error occurred during script evaluation, please view the output log for more information:
                                      ---------- Start of error message from Python interpreter ----------
                                      Caught exception while executing function: Traceback (most recent call last):
                                      File "\server\InvokePy.py", line 113, in executeScript
                                      buf = pipe.read_buffer()
                                      File "C:\server\PipeProtocol.py", line 73, in read_buffer
                                      return bytearray(self.read_string())
                                      MemoryError
                                      ```
                                      Where can I open an issue against Azure ML Studio?

                                      1 vote
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                                        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                      • Please add function that can install "CLI extension for Azure Machine Learning service" at Docker Azure CLI

                                        Please add function that can install "CLI extension for Azure Machine Learning service" at Docker Azure CLI

                                        4 votes
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                                          0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                        • Toi co the dat ten no la HOUSING

                                          Toi se thay doi nhung gi co loi cho nhan loai. Mong cac ban hay ung ho toi bang cach bao ve cong **

                                          1 vote
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                                            0 comments  ·  Flag idea as inappropriate…  ·  Admin →
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