GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/11102
[SPARK-13223] [ML] Add stratified sampling to ML feature engineering
jira: https://issues.apache.org/jira/browse/SPARK-13223
I found it useful to add an sampling transformer during a case of fraud
detection. It can be used in resampling or overSampling, which in turn is
required by ensemble and unbalanced data processing.
Internally, it invoke the sampleByKey in Pair RDD operation.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/hhbyyh/spark stratifiedSampling
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11102.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 #11102
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commit 022c8367a28ade4529d522e4fffe0896e75336da
Author: Yuhao Yang <[email protected]>
Date: 2016-02-06T08:11:26Z
add stratifiedSampling and ut
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