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https://issues.apache.org/jira/browse/MADLIB-1149?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16149291#comment-16149291
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ASF GitHub Bot commented on MADLIB-1149:
----------------------------------------
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
----
> Neural Networks - MLP - Grouping
> --------------------------------
>
> Key: MADLIB-1149
> URL: https://issues.apache.org/jira/browse/MADLIB-1149
> Project: Apache MADlib
> Issue Type: Improvement
> Components: Module: Neural Networks
> Reporter: Frank McQuillan
> Assignee: Nandish Jayaram
> Fix For: v2.0
>
>
> Follow on from https://issues.apache.org/jira/browse/MADLIB-413 and
> https://issues.apache.org/jira/browse/MADLIB-1134
> Story
> As a data scientist,
> I want to use grouping in MLP,
> so that I can run multiple models at that same time
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