Machine Learning

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How can we improve Microsoft Azure Machine Learning?

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  1. Please update Forecast package in Azure ML Studio

    The Forecast package on AZURE ML STUDIO needs to be updated. Can't Microsoft have a package update scheduled every month or so?

    3 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
    triaged  ·  Adminazurecxpuservoice (Product Manager, Microsoft Azure) responded

    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

  2. remove credit card as vervification for those who are auditing course through microsoft academy

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

  3. Azure Policy Support for restricting SKU of AML Compute

    Today, Azure ML Compute does not honor Azure Policy Restrictions on VM SKUs

    I Created an Azure Policy restricting VMs to a specific SKU(VM Size), assigned the Policy to resource group having Azure ML WorkSpace
    Still, I can create ML Compute using AzureML workspace for any size, including the size which is disallowed in the Policy
    Is this a bug or by design? I want to restrict the size of compute being created from AzureML

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

  4. Link Dataset, Experiment, Image, Model, Deployement

    As part of managing the whole Data Science Process within Azure ML, is there a way to link a Dataset, an Experiment and related produced Image, Model and Deployment, apart from description.

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

  5. Azure DevOps ML extension - bug when triggering release pipelines

    I have multiple release pipelines triggered by new model versions. Each pipeline uses different models, but with the same name (they are in different workspaces of the same resource group).

    The issue is that all pipelines seem to be triggered by the same model (the one in the oldest workspace), even though they're using different references, and different service connections. I expect them to be triggered by updates to their respective models, of course.

    I can provide more details if needed.

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

  6. We need an example of using AutoML in Azure DevOps rather than a simple sklearn model in the Python MLOps example?

    Pelase Add good example in AzureDevOps using a video tutorial on your websiten rather than the MLOPs Python sample and how we can use it in Azure DevOps.

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

  7. define and run pipeline using Logic App

    It's super make sense this type of workflow via GUI, not only code. Please refere the following service as well.


    • Azure DevOps

    • Azure Data Factory

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

  8. Underlying storage account for Machine Learning Service Workspace should be HTTPS only

    Currently the MLSW triggers Azure security toolkit & security center alarms because the default configuration of underlying storage account allows http traffic.

    3 votes
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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →

  9. Allow Properties Shared by Multiple Items to be Edited In a Single Place

    If I select several items in an Azure ML Studio experiement that all share a common property, I should be able to set that property in one place - once - and not have to edit each item separately.

    A huge portion of what data scientist are doing in an experiment is trying out different classification algorithms, training them, scoring them, and evaluating and comparing results. This makes for a lot of repetitive, monotonous work. And it means we have to do exactly the same edits (like setting a dependent variable) across a bunch of different items.

    There's no reason…

    3 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →

  10. Need hyper parameter tuning for ML models

    Should allow to tune hyper parameters in order to improve algorithm performance. Implement Grid search, Randomized Search and Hyperopt for parameter tuning.

    3 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →

  11. Monitor AML Cluster performace

    Add to AML Python SDK functions to monitor AML compute cluster's load/performance (CPU, Mem, Disk I/O, Network, GPU).

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

  12. All Advanced Time Series models are not present in Azure ML.

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

  13. Support Named Entity Recognition labeling

    It would be great if can label Named Entities. Ideally we should be able to export it in different formats like BIO-notation,..

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

  14. Support deleting experiment from an azure machine learning workspace

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

  15. About LSTM and 3D tensors dataset support for Auto ML

    Will Auto ML support the LSTM algorithm in the future?
    Would also be nice to be able to support 3D tensors dataset.

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

  16. "az ml run show -r runid" pops surprised output

    When I am using command "az ml run show -r runid",
    This the output:

    az ml run show -r b4c190b4-fd00-43ca-bf31-639221a9485c
    Error, default experiment not set and experiment name parameter not provided.
    Please provide a value for the experiment name parameter.

    The problem is I can't provide experiment name, that's the information I want to query for...

    Could we refine this command? I can provide -w workspace instead.

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

  17. How to integrate DevOps approach with VM Notebook in AMLS ?

    Today, the platform is amazingly evolving in term of integration. We can now monitor and manage almost everything in the visual interface.

    My question is how can we improve even more this experience by adding the DevOps part (instead of having to go threw Azure Notebooks, or Visual Studio) to the Notebook VM and Jupyter environment.

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

  18. More informative error message when building the docker image fails.

    I was trying to deploy a scoring pipeline on Azure using AML SDK in Python. The scoring pipeline needs fbprophet library to train the forecasting model on the fly, and forecast for the future. I added fbprophet into the pip install in the myenv.yml by using myenv.addpippackage("fbprophet"). Then, the step of building the image failed.
    The error message did not have any information helpful for debugging. Although there might be somewhere with more detailed logs, but I had no clue where to find the logs. I had to google around for any possible reason.

    After being blocked by…

    3 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →

  19. Data Explorer / Kusto as Dataset in AML

    We're already using Data Explorer as a way of accessing data from a data lake for a number of other applications. It seems a perfect match for machine learning datasets, with the data already tabularized and often cached. The available alternative is to read the files, but presumably this doubles up on the processing already done by DE.

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

  20. Allow for filtering to experiment / error type granularity in Azure Monitoring

    Allow for filtering to experiment granularity in Azure Monitoring.

    Currently metrics only send value 1 if send to Azure Monitoring e.g. if an experiment run succeeds. During experimentation the larger share of experiments will fail, so we need to understand both the error type and the specific experiment at least.

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