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
Github user SparkQA commented on the pull request:
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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
Alt
Github user SparkQA commented on the pull request:
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Github user witgo commented on the pull request:
https://github.com/apache/spark/pull/3677#issuecomment-66618650
cc /@mengxr
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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 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 asfgit closed the pull request at:
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