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From f-sander <...@git.apache.org>
Subject [GitHub] flink pull request: [FLINK-3128] [flink-ml] Add Isotonic Regressio...
Date Wed, 03 Feb 2016 11:32:51 GMT
Github user f-sander commented on the pull request:

    https://github.com/apache/flink/pull/1565#issuecomment-179177999
  
    Thanks for your Feedback!
    
    Yes, scalability is the main issue for us too. We are not aware of any other parallel
implementation 
    he main issue for us too. We also talked to the original author of Spark's IR implementation
(which is equivalent too ours) about this with the same result. However, we think we have
a theoretical approach to solving this, but it depends on the self join without duplicates.
Remember our discussion on the user-mailing list with subject `join with no element appearing
in multiple join-pairs`? I need that for this.
    
    I will link a sketch to our algorithm design here in a few days, If we haven't found a
way to solve this. I guess IR won't make it into Flink without a fully parallelized way? 


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