GitHub user njayaram2 opened a pull request:

    https://github.com/apache/madlib/pull/179

    MLP: Add grouping support to neural nets

    JIRA: MADLIB-1149
    
    Changes to support grouping with neural nets. Changes include:
    - Standardize independent features by group.
    - Use GroupIterationController to iterate.
    - Create a temp scaled input table to be used by the
      GroupIterationController
    - Create a new UDF that converts a standard deviation value of
      0.0 to 1.0 when standardizing the independent variable.
    - Update docs, add more examples.
    - Refactor some utility functions code that was used by other
      modules such as svm and elastic_net.
    - Update install check test cases scenario for MLP.
    - Create a new standardization output table that stores the
      x_mean and x_std per group.
    - Add a new method in in_mem_group_control.py_in that returns
      back a specific index's value from the state variable.
    
    Closes #178

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/njayaram2/madlib features/mlp_grouping

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/madlib/pull/179.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #179
    
----
commit d9d7a3efca47c23958d77de61434efad1d05f706
Author: Nandish Jayaram <[email protected]>
Date:   2017-08-24T19:39:27Z

    MLP: Add grouping support to neural nets
    
    JIRA: MADLIB-1149
    
    Changes to support grouping with neural nets. Changes include:
    - Standardize independent features by group.
    - Use GroupIterationController to iterate.
    - Create a temp scaled input table to be used by the
      GroupIterationController
    - Create a new UDF that converts a standard deviation value of
      0.0 to 1.0 when standardizing the independent variable.
    - Update docs, add more examples.
    - Refactor some utility functions code that was used by other
      modules such as svm and elastic_net.
    - Update install check test cases scenario for MLP.
    - Create a new standardization output table that stores the
      x_mean and x_std per group.
    - Add a new method in in_mem_group_control.py_in that returns
      back a specific index's value from the state variable.
    
    Closes #178

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