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. Gantt view of all experiments execution in Machine Learning Workspace

    To see a Gantt chart of the time consumed by each of the experiments running simultaneously in the ML.

    2 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  2. Remove AKS minimum core restriction ("cluster_purpose")

    If I want to attach an AKS cluster in development environments that don't meet the 4 agents / 12 core requirements, I need to set the "clusterpurpose = AksCompute.ClusterPurpose.DEVTEST" parameter via the Python API. However, this parameter is not supported in ARM templates and also not in the Azure CLI extension, so this complicates our automation strategy.

    The minimum requirements for running an AKS cluster in production are well documented, so it shouldn't be up to the "Machine Learning service" to enforce any restrictions.

    Having this "cluster_purpose" parameter is just an unnecessary complication, and should therefore be removed…

    2 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  3. Support Parquet file format as Import Data action

    Support for Parquet data format as Import Data, as many big data projects are using this format. It is much lighter then CSV. This format is already supported by Azure Data Factory.

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

    Hi Azure customer,

    Thank you for the feedback here, could you please share more details about what product you are mentioning? Is that Azure machine learning studio, Visual Interface, or you mean for all products ^^?

    Waiting for your response. Thank you very much.

    Regards,
    Azure CXP Community

  4. Can I use custom definition script in algorithms modules?

    So we can use Net# in this environment. Just like studio.azureml.net.

    2 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  5. 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 →
  6. 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 →
  7. error on : FailedToEvaluateRScript: The following error occurred during evaluation of R script: R_tryEval: return error: Error: bad restore

    I have the following error on azureml :

    FailedToEvaluateRScript: The following error occurred during evaluation of R script: R_tryEval: return error: Error: bad restore file magic number (file may be corrupted) -- no data loaded , Error code: LibraryExecutionError, Http status code: 400, Timestamp: Mon, 02 Dec 2019 06:33:22 GMT

    2 votes
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    2 comments  ·  Flag idea as inappropriate…  ·  Admin →
  8. 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

  9. 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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  10. Create pipelines inside other pipelines in the designer

    In the designer I would like to create 'high level' pipelines, in which the nodes are other pipelines. This is a standard in ETL tools.
    For example, I would like to create a 'main' pipeline with 3 nodes (data prep, model training, scoring) and clicking in one of these nodes I find a detailed pipeline. Moreover, inside a pipiline (e.g., model training) I would like to have n pipilines (e.g., an additional data preparation specific for the n models I want to train).
    In my opinion, without this possibility, the pipeline will become very confusing for big projects

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  11. 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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  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

    hypertuneconfig = HyperDriveRunConfig()
    hyperdrive
    run = exp.submit(config=hypertuneconfig)
    hyperdrive
    run

    no way to add a description tag here

    model = bestrun.registermodel(modelname='model', modelpath='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

  13. Logistic Regression

    It's very useful for beginners. If I want to use the logistic regression algorithm, how can I do that?

    1 vote
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  14. 1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  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 [nscores, nclasses], 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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  17. excel

    ML Excel extension support MAC version

    1 vote
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  18. Make Tabular Dataset from_sql_query() method more like SQL alchemy or equivalent

    The SQL syntax for querying Azure ML datastores (eg Azure SQL) is extremely specific and tricky to get right, for example new lines and tabs for readability are not supported, and weirdly nor is the ORDER BY clause. I propose making the query syntax more akin to that supported by the open source sqlalchemy package. Given that many people already use this, it will also make the lift and shift to Azure ML much easier for people, rather than having to rewrite / reformat programmatic query strings.

    1 vote
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  19. can't see error message of "New datastore"

    When you run "New datastore" of the Import data module in Designer of the AML portal, if the datastore creation fails, no error message is displayed.
    Please change this behavior.

    1 vote
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  20. 1 vote
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