Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/3677
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/3677#issuecomment-168112403
I'm going to close this pull request. If this is still relevant and you are
interested in pushing it forward, please open a new pull request. Thanks!
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Github user SparkQA commented on the pull request:
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Github user avulanov commented on the pull request:
https://github.com/apache/spark/pull/3677#issuecomment-69367747
I think this is a great work-around the current MLlib interfaces! What
bothers me is that batches will be created at every step of an algorithm, i.e.
iterator of vectors
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3677#issuecomment-67602032
Had an offline discussion with @witgo . The iterator interface looks good
to me, but creating composite methods could be avoided.
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Github user witgo commented on the pull request:
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cc /@mengxr
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GitHub user witgo opened a pull request:
https://github.com/apache/spark/pull/3677
[SPARK-4526][MLLIB]Gradient should be added batch computing interface.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/witgo/spark SPARK-4526
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