Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/5503
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/5503#issuecomment-168112764
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 mandar2812 commented on the pull request:
https://github.com/apache/spark/pull/5503#issuecomment-163454501
Yes, I will update this PR by the 20th of December 2015.
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Github user tn531 commented on the pull request:
https://github.com/apache/spark/pull/5503#issuecomment-163396824
@mandar2812 any status on this PR?
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Github user SparkQA commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user dbtsai commented on the pull request:
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jenkins, ok to test
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Github user AmplabJenkins commented on the pull request:
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Can one of the admins verify this patch?
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Github user mandar2812 commented on the pull request:
https://github.com/apache/spark/pull/5503#issuecomment-125267781
Making scala style changes and optimizations and updating pull request asap
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Github user AmplabJenkins commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user dbtsai commented on the pull request:
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jenkins, ok to test
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Github user dbtsai commented on the pull request:
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ok to test
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Github user dbtsai commented on the pull request:
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jenkins, please test this.
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Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/5503#issuecomment-120658511
@dbtsai @mandar2812 I found the abstraction for kernel as explained in my
PR https://github.com/apache/spark/pull/6213 more generic in practical
use-cases compared to
Github user dbtsai commented on the pull request:
https://github.com/apache/spark/pull/5503#issuecomment-111651809
jenkins, please test this.
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Github user AmplabJenkins commented on the pull request:
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GitHub user mandar2812 opened a pull request:
https://github.com/apache/spark/pull/5503
[MLLIB][WIP] SPARK-4638: Kernels feature for MLLIB
1) Class hierarchy for SVM Kernels, with unit tests.
2) Entropy based subset selection for low rank approximation of Large
Kernel Matrices,
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