Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-50113405
Merged. Thanks!
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/1554
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-50109623
QA results for PR 1554:- This patch PASSES unit tests.- This patch
merges cleanly- This patch adds the following public classes
(experimental):class RDDSamplerBase(object
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-50107918
QA tests have started for PR 1554. This patch merges cleanly. View
progress:
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/17161/consoleFull
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-50107704
LGTM. Waiting for Jenkins ...
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-50107711
Jenkins, test this please.
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-49965667
For unit tests, you can use bounds on the sample sizes. For example, there
are two strata with sizes 100 and 1000, and we are going to sample with
probabilities 0.5 and 0.
Github user dorx commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-49958757
I added `#doctest: +SKIP` for the unit because the unit in `sample` also
has it. I'm guessing this is because of the difference in behavior when numpy
is used vs. not. It ra
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-49958568
QA results for PR 1554:- This patch PASSES unit tests.- This patch
merges cleanly- This patch adds the following public classes
(experimental):class RDDSamplerBase(object
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-49952181
QA tests have started for PR 1554. This patch merges cleanly. View
progress:
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/17067/consoleFull
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Github user dorx commented on the pull request:
https://github.com/apache/spark/pull/1554#issuecomment-49951984
@mengxr @falaki
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GitHub user dorx opened a pull request:
https://github.com/apache/spark/pull/1554
[SPARK-2656] Python version of stratified sampling
exact sample size not supported for now.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dorx/spa
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