Machine Learning

Welcome! You can use this site to tell the Azure Machine Learning team what features you would like to see.
Azure Machine Learning enables developers and data scientists to build advanced analytic web services in minutes and hours, eliminating the heavy lifting associated with deploying machine learning in modern data driven applications.

How can we improve Microsoft Azure Machine Learning?

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  1. Restore the last experiment deleted by mistake

    It'd be nice if I could restore the last experiment I deleted by mistake.

    Thank you

    28 votes
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      1 comment  ·  Flag idea as inappropriate…  ·  Admin →
    • Training with very large dataset in not works

      I was trying to create an experiment with the Netflix Prize dataset that contains about 100 Milions of records, and after uploadin the 2.6GB csv file and run the training on that, it fails due to out of memory exceeded exception

      23 votes
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        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
      • import from sharepoint

        Import from a sharepoint online list would make life about 1000 times easier

        9 votes
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          0 comments  ·  Flag idea as inappropriate…  ·  Admin →
        • Allow to choose between SQLite and T-SQL in the Apply SQL Transformation module

          It'll be a really good option write T-SQL scripts in the Apply SQL Transformation module since we are in a MS environment.

          Thank you.

          24 votes
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            0 comments  ·  Flag idea as inappropriate…  ·  Admin →
          • Add anytime package to AML Studio R installed packages

            Could you add anytime R package to AML Studio as intalled R package so we do not have to import it as script bundle from a zip file each time we would like to use it?

            12 votes
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              0 comments  ·  Flag idea as inappropriate…  ·  Admin →
            • Add Calibration Module (Reliability Plots, Breier Score, Platt Scaling, Isotonic Regression)

              Most learning algos do not produce well calibrated probabilities (typically either overconfident or underconfident) and one cannot directly use the scores in decision making. Two class Boosted Trees are performing well on several other aspects, but the score distribution is poor with bumps close to 0% and 100%. Current scaling transforms do not effectively solve this problem.

              10 votes
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                2 comments  ·  Flag idea as inappropriate…  ·  Admin →
              • notebooks.azure.com could be the ideal interface for: AzureML, HDInsight Spark + Jupyter & Batch

                It would be great to have one notebook interface that could connect to all the relevant services.

                This would also allow us to access notebooks, while a HDInsight cluster is stopped.

                12 votes
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                  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
                • Import data from Azure Data Lake Store

                  Right now you can access files on Azure Data Lake Store through a Hive cluster, which is both expensive and hard to set up. Azure ML should have direct access to Azure Data Lake Store files.

                  37 votes
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                    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                  • Get serious with Datasets! Beat Kaggle

                    If you are serious about ML Studio, you'd rather include hundreds and hundreds sample datasets. We should see 2-3 samples for each algorithm. Two sets for each dataset needed: 1. real, dirty data 2. the same but clean data. So user could concentrate on cleaning or on the algorithm side of the problem. Datasets should be in categories and with tags... you have fantazy, right?
                    Samples for different user categories: students, scientists, developers, kids.
                    Samples for different tasks: study, competitions, science (Yes! Please, include datasets for *real* problems in science)
                    We should beat Kaggle in this aspect (why not ImageNet?)

                    4 votes
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                      0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                    • That the ML web service could be documented with swagger.

                      The would be great if you could create swagger documentation for the web service that you create.

                      3 votes
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                        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                      • Enable grouping of modules on the canvas

                        Please enable collapsible grouping of modules (perhaps similar to SSIS?)
                        This would be a functionality that enables the visual grouping of modules that belong together. When chosen to group selected modules (via right click for example), the items are then put into a rectangle that is collapsible to hide all items.
                        This should have no impact on how the modules work.

                        Reason for this idea is to make the screen easier to navigate when working with large experiments. It could also allow easy copy/pasting of certain modules that belong together.

                        10 votes
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                          0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                        • Add Package ‘Relaimpo’

                          This is a critical package in calculating the relative impact of the components in a multivariate regression model.

                          118 votes
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                            under review  ·  0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                          • Support CNTK on Azure ML

                            Using CNTK for RNN is great but making the models operational is a pain. It would be great to be able to use the CNTK libraries within the Azure ML service.

                            9 votes
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                              0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                            • Re-publishing the scoring experiment not updating the existing Non Default Endpoint

                              I have Training and Scoring Experiments ,both published as web service and scheduled via ADF.

                              The scoring experiment recently got changed and I republished again.

                              But the Non default scoring end point is not taking the changes done to the scoring experiment even after re-publish. Do I need to create a new non default end point every time if any changes done the experiment ?

                              Ideally re-publishing should update all existing endpoints.

                              1 vote
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                                0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                              • Enable ScaleR API within Azure ML R notebooks.

                                Without access to ScaleR API the functionalities to scale machine learning on large volumes of data within Azure R Notebooks is limiting. Please enable the ScaleR API's ASAP.

                                3 votes
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                                  0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                • Use On-premises Gateway instead of Data Management gateway for on-prem Data Sources

                                  On-premises Gateway is used by various Azure Services as well as Power BI for on-premises Data Source connections. Using the On-premises Gateway instead of the Data Management gateway would simplify installation and management (one gateway for ALL Azure Services) and would allow to use other on-prem data sources other than SQL Server (Oracle, Teradata, Files, ...)

                                  3 votes
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                                    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                  • Add LightGMB as a module within Studio ML

                                    A lot of the newer Algos require R or Python scripts to execute. LightGMB was built within Microsoft. It would be great if this could be added as a module within Studio ML rather than requiring R or Python.

                                    https://github.com/Microsoft/LightGBM/issues

                                    50 votes
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                                      0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                    • Add the ability to publish the ML web service to Azure API Management.

                                      It would be great to have the possibility to publish the web service to Azure API Management for easy configuration of authorization and great log information about usage and so on.

                                      1 vote
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                                        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                      • Import/Export experiments and all related assets in a file

                                        I would like to be able to have a functionality within the Studio for importing exporting the experiments in a file (possibly JSON format but even a proprietary binary would be fine as well).

                                        The file should contain all the assets (not only their references like it happens now) so that I can seamlessly move experiments from different environments (QUAL-PROD etc.) and different subscriptions.

                                        Moreover this would allow to better share the experiments within the community storing the file for e.g. in github.

                                        3 votes
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                                          0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                        • Have a setting to disable the "publish to gallery" feature.

                                          Provide a setting to disable the "publish to gallery" feature. The goal is to prevent both contributors and admins from accidentally publishing confidential company experiments and data to the world. One idea is to have this be a setting that only the admin could change.

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