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.

How can we improve Microsoft Azure Machine Learning?

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  1. F# Support in Azure ML

    Azure ML is great. I would like Azure ML to support F# -> with both the code sample gen (currently C#) and the script support (currently R).

    874 votes
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    12 comments  ·  Flag idea as inappropriate…  ·  Admin →
  2. Add Machine Learing to Azure Stack

    Request: Add AzureML as part of Azure stack

    Rationale
    Interest in ML is on the rise Many companies are thinking of ML pilots.. Now ML usecases many times use ainternal documents e.g claims documents. IMO many organizations will take 2-5 years to grapple with the security/privacy concerns. In the mean time , it will help the organizations start ML pilot projects if AzureML is made available in AzureStack for on premise trials.

    Azure ML currently is one of the most attractive destination for anyone to pilot with. It brings SAS like drag and drop capabilities. Has a much more complete…

    181 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  3. Add Package ‘Relaimpo’

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

    122 votes
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    under review  ·  0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  4. Enable odbc connection from "Excute python script" module

    Odbc drivers are not installed on machines running the python script. Solving this will enable users to create their own Reader module by using their own business logic to access azure sql.

    119 votes
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    4 comments  ·  Flag idea as inappropriate…  ·  Admin →
  5. Support JSON for input/output

    Several custom algorithms I use are designed expecting input in JSON format. This is ideal for integrating with a web service, but unfortunately ML Azure doesn't seem to support it.

    98 votes
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    3 comments  ·  Flag idea as inappropriate…  ·  Admin →

    JSON parsing is not yet implemented as a separate module. As a workaround for JSON parsing, you could use Execute R Script in following manner:

    1. Compress the JSON file as zip package and upload to ML Studio as .zip format file.

    2. Connect the .zip file to Execute R Script rightmost port

    3. Execute following R script (replace “sample_json.txt” with your file name).

    library(RJSONIO)
    library(plyr)
    data.set = ldply(fromJSON(content=“src/sample_json.txt”))
    maml.mapOutputPort(“data.set”);

    Note that this assumes your JSON file holds an array of similar records.

  6. 61 votes
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    4 comments  ·  Flag idea as inappropriate…  ·  Admin →
  7. More flexibility for Support Vector Machines

    In other machine learning tools, SVM supports different kernel functions, and each function may have additional parameters. I assume "Project to the unit-sphere" is a kernel function, but could not find a definition for that function.

    A kernel I found useful in many cases was the Radial Basis Function (RBF, parameters C or lambda, gamma), but there are others. It would also be useful to allow defining a custom kernel function, for example with an R script (or whatever language is most appropriate for the SVM implementation used)

    55 votes
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    under review  ·  1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  8. Add support for Asociation (Market Basket) Analysis

    This is such a basic algorithm, I can't believe this is missing from ML

    29 votes
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    under review  ·  2 comments  ·  Flag idea as inappropriate…  ·  Admin →
  9. Add email notifications when a running instance completes

    If you've got a big dataset, often the first few steps (e.g. Reader getting several Gb of data from Azure BLOB storage, or a split/fold/partition/etc on a big dataset) can take a disproportionately long time. And that's fine, but I don't necessarily want to sit & watch.

    If you added an "email me when step X completes" so I can go make dinner while the import runs, I would be a happy, happy boy.

    22 votes
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    2 comments  ·  Flag idea as inappropriate…  ·  Admin →
  10. Integrate the Nupic HTM CLA

    Integrate the Nupic HTM CLA with the Machine Learning platform. I'm not seeing an obvious way to utilise both Nupic (which I really like) and Azure ML which looks excellent.

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

    Nupic is a deep learning algorithm that Numenta is developing and promoting. The closest thing that is currently part of AML is building a multi-layered, neural network, but there are lots of fundamental differences between NuPIC and vanilla neural networks. It will take a substantial amount of engineering for it to be incorporated, and we will evaluate if it will fit in the backlog.

  11. Allow for data split into training, validation and testing using only one split

    Allow for data split into training, validation and testing using only one split.

    Coming from a SAS background I find the split module to be very clunky and the use two split modules in order to split the data into 3 sets (training, validation, testing) to be very counter-productive.

    19 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  12. Standardize canvas navigation

    Management Studio diagrams:
    Scroll = Scroll
    Ctrl + Scroll = Zoom

    SSIS canvas, SSAS diagrams in Visual Studio:
    Scroll = Scroll
    Ctrl + Scroll = Zoom

    ML Studio:
    Scroll = Zoom

    Yes, ML Studio is browser-based but navigating across the canvas could be similar to previous products.
    I don't have the numbers to prove the following statement - but I think that vertical scrolling is used more often than zooming.

    19 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  13. Microsoft Dynamics CRM DataSet Connector

    Provide the ability to import data directly from Microsoft Dynamics CRM

    17 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  14. Data import from onedrive

    Do we have the feature of importing data to Azure ML from one drive? is this feature being considered

    13 votes
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    3 comments  ·  Flag idea as inappropriate…  ·  Admin →
  15. 13 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  16. Reference Web Service Parameters in R/Python/SQL/SQLite/etc scripts

    Currently, individual operation parameters can be "Set as web service parameter". However, there are many cases where I don't want to pass the whole value as a parameter, but reference a parameter within that value. This happens mostly in script operations (R, Python, SQL Reader, Apply SQL Operation).

    For example, I may have a SQL query with various filters. A R script may also want to access various parameters to alter its behavior. This can be useful when experimenting with various model options, or to generalize (reuse) an experiment for different cases.

    This could be implemented by allowing, in all…

    13 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  17. R Execute - Create an Output Zip Pin

    Allow the user to save a list of R objects (dataframes, models, functions, vectors, ...) to an .Rdata zip file.

    This would allow the user to build an R model and save it (along with any other R object or function) for use in other R execute blocks.

    11 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  18. Output Multiple Result Sets in R Execute Script Module

    Here is a common use case:

    library(caret)
    trainIndex <- createDataPartition(df$serviceName, p = .8, list = F, times = 2)
    df.train <- df[trainIndex,] # I need to export this, the training data
    df.test <- df[-trainIndex,] # and, I need to export this, the testing data

    The createDataPartition is useful becuase it ensures both training and testing data have the same factors.

    11 votes
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    1 comment  ·  Flag idea as inappropriate…  ·  Admin →
  19. Integrate with Visualization Tool(s)

    Visualizations need to be included somewhere that seamlessly works with Azure ML, and preferable also integrated with Data Factory. This way you will have a true end to end data solution.

    Being able to create dashboards like the new Azure Portal, with many different types of visualizations would amazing. Have not looked into Power BI close enough to know whether this will provide the type of visualizations that predictive models require. Is Microsoft working on an Azure Visualisations?

    9 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  20. Direct support for Theano

    Is there a direct support for Theano within the Studio? If not, is it being considered? I assume that there may be a way around by creating a custom zip file, but the package is too rich and sophisticated for such a round about way...

    9 votes
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
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Machine Learning

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