Machine Learning

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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.

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  1. Add ASCII Folding Capabilities

    Sometimes when doing text analysis we need to remove pontuation and accentuation from text... usually I would convert the text to Latin-ASCII and it would be fine but I am currently struggling between UTF8 support of Azure ML and the output since I get alot of weird characters...

    This is actually a pain point in this kind of work, so it would be amazing if a task would exist to do this kind of operation.

    Thank you

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

      It would be great if Azure ML could support the Portuguese Language in both variants ( PT-PT and PT-BR ).
      It is one of the most used languages in the world...

      Any idea when we can be expecting this for Text Analysis?

      Thanks

      3 votes
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        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
      • 3 votes
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          0 comments  ·  Flag idea as inappropriate…  ·  Admin →
        • Partial Dependence plots

          Similar to R, Azure should create a module of partial dependence plots (PDP) for its native machine learning modules.
          PDP, wherein, the predictor variable of interest is varied over its range while the remaining predictors are fixed at a joint set of values sampled from the dataset to produce an instance of the response dependence curve. This process is replicated for all learn records, sampling new joint set of fixed values each time, creating a family of partial dependence curves which are then averaged and centered so as to generate the final partial dependence plot (PDP).

          9 votes
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            0 comments  ·  Flag idea as inappropriate…  ·  Admin →
          • how about answering questions in a timely fashion?

            how about answering questions in a timely fashion?

            1 vote
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              0 comments  ·  Flag idea as inappropriate…  ·  Admin →
            • 3 votes
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                0 comments  ·  Flag idea as inappropriate…  ·  Admin →
              • Make azure ML studio scalable

                For large datasets and complex algorithms it either takes very long to train the model or training fails because of memory lack. Please make azure ml studio scalable. Let users choose cores and memory before running an experiment

                7 votes
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                  0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                • Using wildcards for column names in Select Columns

                  A typical scenario is when a dataset contains a group of columns similarly prefixed (e.g. "academics__" in Student Loans dataset), and one wants to remove them.

                  Being able to start with all columns and exclude those starting/ending with a string would suffice it.

                  1 vote
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                    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                  • Extract feature weights of trained neural network model

                    One advantage I can think of, with this we can observe which attributes are more important. I am sure there are many people out there who don't want the model to be a black box and want to know what exactly goes on behind the curtains.

                    3 votes
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                      0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                    • Models should be less opaque to facilitate data exploration (for example PCA)

                      Some models in AzureML are still opaque (black box) which limits their usefulness. For example, Principal Component Analysis only returns the calculated values for PCA, and allows saving a black-box PCA model.

                      It would be useful to view each input variable's contribution to each of the principal components, as well as the proportion of variance explained by these principal components

                      4 votes
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                        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                      • Status bar or % Complete or ETL

                        Add a [% complete] or Estimated Time Left to experiments in addition to the status "Running". It would be very helpful to have these features in ML Studio.

                        21 votes
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                          0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                        • Allow user to add modules to experiment during "run selected"

                          It seems that idle time spent while modules run could be used to add and edit modules that are not running. e.g. while doing a long "Import Data", I should be able to add and edit other modules.

                          6 votes
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                            0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                          • Support more recent versions of R

                            AzureML currently support only old versions of R:
                            * CRAN R 3.1.0, released in 2014
                            * Microsoft R Open 3.2.2, released in 2016

                            Some R packages are not available in these older versions, or in some cases the package is available but it is an older version of the package with incompatible differences with the newer version.

                            Several newer versions of both CRAN R and Microsoft R are available. AzureML should support them. Also, going forward, there shouldn't be such a considerable delay between R major version releases and their availability in AzureML

                            41 votes
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                              3 comments  ·  Flag idea as inappropriate…  ·  Admin →
                            • 'create r model' doesn't provide custom R package reference option

                              Two requests:
                              1. 'Create R Model' doesn't provide package input option unless it's preinstalled in AzureML. For example, wanted to develop custom recommender system (other than matchbox) using 'recommenderlab' package. I am not able to refer as .zip package in 'create R model' for 'recommenderlab' package. We should have an option to refer explicit package reference option in custom 'create R model.

                              2. Custom R package are to be referred everytime user uses it. This is a bit of overkill. Request your help to keep that package till user exits the session. This will streamline process quite a bit.

                              4 votes
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                                0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                              • [BUG] Saving existing trained model doesn't overvrite the existing one

                                When trying to overwrite an existing trained model, Azure ML Studio will create a duplicated trained model (see the attached picture). When I try to delete the oldest one, both the duplicated trained models disappear. Then, if I try to create the same trained model (with the same name) again, that name is cached even if I deleted it. I have to refresh the page in order to remove that name from cache.

                                1 vote
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                                  0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                • Save the state of kernels in notebooks

                                  It would be nice if we could save the state of notebook kernels so that we didn't have to re-run all the code after being disconnected.

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

                                    Hello,

                                    It would be nice to have a "Group by" Like function as in sql

                                    to make SUM,Min,Max,Count,AVG on some column

                                    I saw it would be possible with R script. Bu I have never worked with it

                                    4 votes
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                                      1 comment  ·  Flag idea as inappropriate…  ·  Admin →
                                    • Choose order of operations for text preprocessing

                                      The current documentation is vague with regards to order of operations of the text preprocessing module.

                                      Having the ability to select the order in which the transformations are applied would greatly improve the utility of the module and prevent the need for chaining many text processing modules to achieve desired results.

                                      1 vote
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                                        0 comments  ·  Flag idea as inappropriate…  ·  Admin →
                                      • Package management

                                        The current way of adding additional R packages to Azure ML is insanely time consuming. There should be a way to install packages from CRAN along with the required dependencies.

                                        I have tried to install the tidytext package using the method described here: https://blogs.msdn.microsoft.com/benjguin/2014/09/24/how-to-upload-an-r-package-to-azure-machine-learning/

                                        When installing tidytext into a clean package library directory there are a total of 23 dependent packages that get installed. I then need to reference which ones are already installed on Azure, check if the version is up to date, package, upload and then install individually (in the correct order).

                                        Azure ML Studio should be able…

                                        25 votes
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                                          1 comment  ·  Flag idea as inappropriate…  ·  Admin →
                                        • "compare to" in visualization

                                          I am inrolled in the online course "essentials of data science" and in many of the videos we can go to a model, visualize it and show scatterplots/diagrams by chosing "compare to". When I try this myself with my own models there are, in some of the cases, no "compare to". It is a really useful function when working with feature engineering, why is it only available in some cases? How can I make it available all the time?

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