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Posted to reviews@spark.apache.org by epahomov <gi...@git.apache.org> on 2014/10/09 12:16:08 UTC

[GitHub] spark pull request: [SPARK-3830] Implement genetic algorithms in M...

GitHub user epahomov opened a pull request:

    https://github.com/apache/spark/pull/2731

    [SPARK-3830] Implement genetic algorithms in MLLib

    

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

    $ git pull https://github.com/epahomov/spark SPARK-3830

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

    https://github.com/apache/spark/pull/2731.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 #2731
    
----
commit bb00e96ed10d4d01d35f4506babe967bc438e877
Author: epahomov <pa...@gmail.com>
Date:   2014-10-09T10:15:01Z

    [SPARK-3830] Implement genetic algorithms in MLLib

----


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[GitHub] spark pull request: [SPARK-3830] Implement genetic algorithms in M...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2731#issuecomment-58489634
  
      [QA tests have started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/21534/consoleFull) for   PR 2731 at commit [`bb00e96`](https://github.com/apache/spark/commit/bb00e96ed10d4d01d35f4506babe967bc438e877).
     * This patch merges cleanly.


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[GitHub] spark pull request: [SPARK-3830][MLlib] Implement genetic algorith...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:

    https://github.com/apache/spark/pull/2731#issuecomment-58495258
  
    Test PASSed.
    Refer to this link for build results (access rights to CI server needed): 
    https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/21534/Test PASSed.


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[GitHub] spark pull request: [SPARK-3830][MLlib] Implement genetic algorith...

Posted by srowen <gi...@git.apache.org>.
Github user srowen commented on the pull request:

    https://github.com/apache/spark/pull/2731#issuecomment-76859538
  
    My hunch is that this mini framework wouldn't be accepted in this was for `.mllib`. It might make sense if it could be cast in terms of the newer Pipelines API, as a sort of meta-algorithm building an `Estimator` from `Estimator`s?


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[GitHub] spark pull request: [SPARK-3830][MLlib] Implement genetic algorith...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:

    https://github.com/apache/spark/pull/2731#issuecomment-58572774
  
    Can one of the admins verify this patch?


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[GitHub] spark pull request: [SPARK-3830][MLlib] Implement genetic algorith...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/2731#issuecomment-58495248
  
      [QA tests have finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/21534/consoleFull) for   PR 2731 at commit [`bb00e96`](https://github.com/apache/spark/commit/bb00e96ed10d4d01d35f4506babe967bc438e877).
     * This patch **passes all tests**.
     * This patch merges cleanly.
     * This patch adds the following public classes _(experimental)_:
      * `trait IndividualOperations[I, T] `
      * `class ListOperations[E, T](`



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[GitHub] spark pull request: [SPARK-3830][MLlib] Implement genetic algorith...

Posted by epahomov <gi...@git.apache.org>.
Github user epahomov closed the pull request at:

    https://github.com/apache/spark/pull/2731


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[GitHub] spark pull request: [SPARK-3830][MLlib] Implement genetic algorith...

Posted by nchammas <gi...@git.apache.org>.
Github user nchammas commented on the pull request:

    https://github.com/apache/spark/pull/2731#issuecomment-74011021
  
    @mengxr Did you ever see this?


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[GitHub] spark pull request: [SPARK-3830][MLlib] Implement genetic algorith...

Posted by epahomov <gi...@git.apache.org>.
Github user epahomov commented on the pull request:

    https://github.com/apache/spark/pull/2731#issuecomment-77836797
  
    My PR is too old for current architecture and I already found too much to improve in it. I'll do better and resubmit. 


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