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https://issues.apache.org/jira/browse/SPARK-5854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-5854:
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Target Version/s: (was: 1.2.1)
For anyone asking about contributing new algorithms, please read:
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark#ContributingtoSpark-ContributingNewAlgorithmstoMLLib
Not all algorithms are worth having in MLlib. It depends on whether enough
people get enough value from it to justify the code overhead and maintenance.
Maybe you can start by linking to a paper about this algorithm and outlining
what the implementation requires first.
> Implement Personalized PageRank with GraphX
> -------------------------------------------
>
> Key: SPARK-5854
> URL: https://issues.apache.org/jira/browse/SPARK-5854
> Project: Spark
> Issue Type: New Feature
> Components: GraphX
> Reporter: Baoxu Shi
> Priority: Minor
> Labels: Feature
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> I'm wondering if you would like to add personalized page rank to GraphX? I
> have implemented it by modifying existing PageRank algorithm in GraphX, and I
> would like to share it with others.
> It is pretty simple and straightforward since the only change I need to make
> is only teleport to source node.
> I did some google searching and seems there are a few guys want to have it in
> GraphX :-)
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