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https://issues.apache.org/jira/browse/MADLIB-1048?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16173420#comment-16173420
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ASF GitHub Bot commented on MADLIB-1048:
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Github user fmcquillan99 commented on the issue:
https://github.com/apache/madlib/pull/75
Update on this PR since it has been open for awhile. This was some good
work by mktal to build a multi-class svm module.
The issue with the PR is that the mini-batching is embedded in the svm
code, whereas we would prefer to add mini-batching as a general capability in
the stochastic gradient descent framework, so that it can be used by other
modules besides.
There is work in progress on this currently:
Add mini-batching to IGD framework
https://issues.apache.org/jira/browse/MADLIB-1048
for the next release.
When that JIRA is done, we can then finish:
Multi-class SVM with mini-batching
https://issues.apache.org/jira/browse/MADLIB-1037
which is related to this PR. @rahiyer may have more color to add as well.
> Add mini-batching to IGD framework
> ----------------------------------
>
> Key: MADLIB-1048
> URL: https://issues.apache.org/jira/browse/MADLIB-1048
> Project: Apache MADlib
> Issue Type: New Feature
> Components: Module: Multiclass Classifier
> Reporter: Frank McQuillan
> Assignee: Rahul Iyer
> Fix For: v2.0
>
>
> Add to IGD framework so that all modules can benefit from this
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