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.

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  1. 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.add_pip_package("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 this error…

    3 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  2. 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 →
  3. PYTHON into Azure

    Would be great to see Microsoft investing in Python, in order to embedded it into the Azure Machine Learning.

    2 votes
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  4. Azure ML Chain

    Most of the real life applications of ML need layered chained algorithms wherein output of one algorithm will be fed into input of another.

    Can we see new module in Azure ML for Chain models to choose from in a drag and drop fashion.

    2 votes
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  5. Deploy same name service in Azure machine learning workspace service.

    In Aml workspace, we are allowed to add multiple Compute assets for a type. Ideally ml services should able be deploy on both AKS cluster but due to some reason, same named service can't be maintain in Deployment asserts. For example, I can have two AKS Compute resource in a workspace named as AKS1 and AKS2 and service named as 'intelligentAgent'. This service can be deploy in AKS1 but I have trouble deploying same service in AKS2.

    I need to do this to maintain services for BCP and disaster recovery.

    Could you please allow same named services on different AKS…

    2 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  6. 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.

    2 votes
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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  7. 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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    triaged  ·  3 comments  ·  Flag idea as inappropriate…  ·  Admin →
  8. 2 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  9. Continue other paths on error

    When an error occurs on one path it would be nice if the experiment would not stop immediately but continue on other paths and finish as many modules as possible before stopping.

    2 votes
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    need-feedback  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  10. 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 →
  11. Azure team please add Json file import feature

    It will be very helpful if you guys add an option to import data directly from json format file.

    2 votes
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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

  12. Spelling error in Azure Machine Learning Excel Add-in

    "Predicting will override exising values." should read "Predicting will override existing values."

    New product. Great stuff.

    1 vote
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  13. Any plans to for ML Studio to support Teradata?

    Any plans for ML Studio Import/Export module to support Teradata?

    1 vote
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  14. 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 →

    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. Provide predict_proba for multiclass prediction models

    I have successfully trained a multi-class decision forest in ML Studio, but I would like to return all class probabilities as a 2d-array [n_scores, n_classes], not just the best class prediction. This is similar to the predict_proba() function from scikit learn models. Can you provide? My customer is asking for this feature.

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  16. Enable downloading engineered feature tables

    Model interpretability posts as an important part in ML adoption. If we can download the engineered feature tables (like what H2O.AI) offers, that will speed up our customer adoption.

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

    ML Excel extension support MAC version

    1 vote
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  18. Need reason code for model interpretability

    Can we have reason code (like the ones in DataRobot) to enable model interpretability?

    Also feature importance ranking graph?

    1 vote
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  19. How do i find out what is taking up my storage in the Free Azure ML Workspace?

    When I go to my Datasets, the biggest one i see is a 15MB file twice, so how is it that my Workspace says it is over the limit. Please provide a way to identify and delete whatever is taking up space in my workspace.

    1 vote
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  20. Allow connecting a container registry from a different AAD tenant

    It's already possible to link an "Azure Container Registry" from a different subscription to a "Machine Learning service workspace", but that subscription has to be in the same AAD tenant.

    I'd like to be able to connect an "Azure Container Registry" from a different AAD tenant, so that we can have one central container registry for all our projects/environments, which are using different subscriptions in different AAD tenants.

    1 vote
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