Machine Learning

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How can we improve Microsoft Azure Machine Learning?

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  1. Show summary in run history

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

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  2. Please add function that notify some email when Experiment's Runs is failed

    I hope a function that notify some email when Experiment's Runs is failed.
    I can know whether there is error or not if I open their Experiment manually now.
    But when I run experiment automatically, I want to notify to some email if experiment's Run is failed.

    4 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  3. improve new visual interface run execution performance (it's that bad...)

    ml studio was already slow, for the new visual is several times worst, even after creating the default 2 node cluster, things that took one minute on ml studio now go up to 8-10 mins on visual preview?understand the tracking happening below, cluster overhead and all that, but the point is, as it is, it's unusable, some screenshots ...
    https://twitter.com/rquintino/status/1126263499821387776

    7 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  4. Migration from Azure Machine Learning Studio to Visual Interface

    Ideally this should be done automatically for us, but I'd be happy with an export/import flow that lets us migrate manually.

    2 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  5. Support custom R modules in the Visual Interface

    We have a client with a large codebase in R that we want to migrate from SPSS to Azure Machine Learning. Right now we're stuck with AML Studio which doesn't give us the performance that we need for running experiments.

    3 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  6. Speech recognition Retrict words to custom list only.

    It will be great to create our own list of words.
    And restrict the result only to this lit of words.

    Actually by creating a custom endPoint, it add the list to the global vocabulary, but for my use, I need to restrict to my endpoint.

    Thanks

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  7. Add possibility to pass parameters to scoring script when deploying an image

    When deploying an image to AML Service, the path of the scoring script is given to the method using the execution_script parameter: ContainerImage.image_configuration(execution_script='score.py', ...). However, there is no argument for passing values to script parameters, which are needed in the init() function to do stuff like fetching passwords from Key Vault and getting sample data for the schema.

    Please add the possibility to pass parameters to the scoring script when deploying and image to AML Service. For example, when creating a Python script step in an AML Pipeline, we can add these parameters as follows: PythonScriptStep(script_name='train.py', arguments=['--workspace_name', 'MyWS', '--model_path', './my_model.pk'].…

    2 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  8. Update SQLite version

    Currently, it seems that the Apply SQL Transformation module uses SQLite version 3.8.6. Could you update it newer one? As of 2019/05/01, the newest version is 3.28.0. It supports new SQL feature like window function, some useful extensions like Geopoly, and many performance enhancements.

    1 vote
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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  9. Please, Add Japanease at Azure Machine Learning Home

    I am using azure Machine Learning Studio at Home.
    But it displays only English. I want to use with Japanese.
    So, Please, Add Japanese at Azure Machine Learning Home(https://studio.azureml.net/)

    2 votes
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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  10. Step by Step web response request service web app

    Please make a web app step by step request response tutorial from a ML azure studio experiment, for non native coder people is confusing to set up the service and make it available to the end user.

    1 vote
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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  11. 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 →
  12. 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 →
  13. 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.

    9 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  14. 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 →
  15. 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.

    13 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  16. 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…

    87 votes
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  17. 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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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  18. Support Python 2.x

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

    7 votes
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  19. 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 →
  20. Please upgrade the version of R to R 3.5.2 used in azure

    I run R codes in azure and according to my understanding it does not support the functions used in R 3.5.2 since azure uses an older version of R. Would be greatly helpful if you can upgrade the version to R 3.5.2

    1 vote
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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
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