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. When are you planning to upgrade the CRAN R version on ML. Is this an option or not on the cards for the near future?

    Is this on your road map or not? Need to know for purposes of functional technology

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  2. it sucks literally.

    compare your complexity to deploy vs other website deployment. it sucks literally

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  3. Add sklearn Pipeline for feature engineering chaining

    When doing repeated cross validation like k-fold, some feature transformer like normaliser/maxminscaler/feature_selector, etc should be fitted only on the training data (and then tranform the training and validation set). Otherwise some data leakage occurs.

    Therefore, would it be possible to add the sklearn pipeline object as an argument ?
    After splitting the dataset into training and validation set, automl would fit on the training set and apply the pipeline on the validation set, whatever the cv strategy

    One could then add the whole dataset and use the available cross validations strategies without

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  4. Add the Kolmogorov-Smirnov test within the "Filter Based Feature Selection" module

    The Kolmogorov-Smirnov test provides very important metrics for assessing the information value in each column, see https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnovtest#Two-sampleKolmogorov–Smirnov_test

    If you are interested, I can provide an Excel spreadsheet with relevant example.

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  5. Easier authentication into Azure ML ACR with Azure CLI

    Currently authentication requires several steps:

    amlacrid=$(
    az ml workspace show -g $rg -w $ws \
    --query containerRegistry -o tsv
    )

    amlacr=$(
    az resource show --id "$aml
    acr_id" \
    --query name -o tsv
    )

    az acr login -n "$aml_acr”

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  6. Pivot and unpivot needed come on this is common datascience component

    Pivot and unpivot needed come on this is common datascience component

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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  7. ML studio Experiments page to allow folders

    In ML Studio, at experiments, we need to allow a user to create folders to organize various projects. Usually one creates different experiments to tackle the problem in different ways. In the end, maybe only one or two experiments are put to use. However, the user would like to retain all prior experiments for future reference on what was tried. It also helps to allow user to add a Readme.txt to go along with each project to document. In our case, a workspace is shared, and the person who created the experiments may leave. In addition, after two years I…

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  8. Integrate with Azure Time Series Insights

    Azure ML allows me to collect inputs going into the prediction service. Why not integrate with the awesome and powerful Azure Time Series Insights service to help me analyze how this data is changing over time?

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  9. 1 vote
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  10. MT-DNN-BERT Model inside Visual Interface of Azure ML Studio

    Any project need to use Semantic Models, badly need use either MT-DNN or BERT, can you please include MT-DNN or BERT Model inside Visual Interface of Azure ML Studio. Because that gives Azure edge over other AI Platforms DataRobot, other wise many customers move to other AI Platforms. I need to use either MT-DNN or BERT in my project. As per Gardner/Mckinsey report is saying more Intelligent Chat Bot with muliti lingual requirement flooding all over the world ever before in the AI.

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  11. 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

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  12. Please add API that can show that upper /lower Part separatley that "RunDetails().show()" draw.

    About using Auto ML with "RunDetails().show()" of "Azure Machine Learning Service Python SDK" ,
    Please add API that can show only that upper Table Part that "RunDetails().show()" draw.
    Also, Please add API that can show only that lower Chart part that "RunDetails().show()" draw.

    *please check attachment that show the upper table part and lower chart part.

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  13. support for value added reseller scenarios

    suppose you want to build azure ml into an application targeted at non-technical users, and you wanted to
    - allow them to try out a machine learning feature of your application by using a trial (no-credit-card) version of azure ml studio
    - offload management of the ml trial period and quota (trial licensing security) to azure
    - provision the free azure ml studio account with an arm template

    is any of this possible right now? will it ever be?

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    triaged  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  14. 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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  15. Provide upload/import feature for xml and Json file in DataSet

    Hi,

    Most of the e-commerce marketplace supports only XML/JSON file, It will be very helpful if you provide supports for these file formats. I think you should implement the same functionality of import/export Dataset in Microsoft Azure Learning Studio, which is already available in Power-BI.

    Thanks.

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  16. AKS cluster remove models

    Bring the ability to remove particular models, and closing the containers from deployments onto an AKS cluster without deleting the cluster

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  17. support deployment for TF2.0

    it is un-acceptable that training support TF2.0, but deployment doesn't.

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