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. 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.

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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 →
          • 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)?

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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 →
                  • 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 →
                    • 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 →
                      • DataStore Support HDFS attach

                        Simply, I want to reduce file copy to blob. Also to enable more secure environment.

                        3 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 →
                            • 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 →
                              • I am getting below error "This web service does not output any data to Excel", so not able to enter output cell

                                I am getting below error "This web service does not output any data to Excel", so not able to enter output cell

                                1 vote
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                                  0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                • 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 →
                                  • Azure Machine Learning Studio should be supported for touchscreen use

                                    Azure Machine Learning Studio requires use of a computer with a mouse for Drag and Drop. One cannot drag using an iPad touch screen for example.
                                    This may require an app for IOS and a corresponding one for Android devices to enable ML Studio to be supported by devices.

                                    1 vote
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                                      0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                    • Support Python 2.x

                                      Please support Python 2.x as many frameworks still use it.

                                      1 vote
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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 →
                                        • Luis - Add an Azure Maps key property to LuisPredictionOptions - and have Luis call Azure Maps

                                          First of all, please add a feedback category for Luis to this site.

                                          The LuisPredictionOptions class allows the caller to provide a Bing key, so Luis can perform spell-checking.

                                          Please add a similar property to LuisPredictionOptions for Azure Maps key.

                                          Luis's recognition of US cities and states is unpredictable and incomplete. The geographyV2 entity finds some cities and not others.

                                          Please allow the caller provide an Azure Maps key, so Luis can recognize all cities, POI's, zip codes, etc. rather than each dev having to reinvent this wheel and make multiple calls to Azure to perform entity identification.

                                          3 votes
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                                            0 comments  ·  Flag idea as inappropriate…  ·  Admin →
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