GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/18276
[SPARK-21057][ML] Do not use a PascalDistribution in countApprox
## What changes were proposed in this pull request?
Use Poisson analysis for approx count in all cases.
## How was this patch tested?
Existing tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/srowen/spark SPARK-21057
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18276.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 #18276
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commit 8a1471318cc5b9c0eb0c19ff6db5fc90d1383a24
Author: Sean Owen <[email protected]>
Date: 2017-06-12T09:57:57Z
Use Poisson analysis for approx count in all cases
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