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Posted to issues@metron.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/11/10 20:27:59 UTC
[jira] [Commented] (METRON-562) Add rudimentary statistical outlier
detection
[ https://issues.apache.org/jira/browse/METRON-562?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15655053#comment-15655053 ]
ASF GitHub Bot commented on METRON-562:
---------------------------------------
GitHub user cestella opened a pull request:
https://github.com/apache/incubator-metron/pull/352
METRON-562: Add rudimentary statistical outlier detection
With the advent of the profiler, we can now capture state. Furthermore, with Stellar, we can capture statistical summaries. We should provide rudimentary outlier detection functionality in the form of Stellar functions that can operate on captured state from the profiler.
To begin, we should enable simple outlier tests using distance from a central measure such as Median Absolute Deviation (see http://www.itl.nist.gov/div898/handbook/eda/section3/eda35h.htm).
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cestella/incubator-metron outlier_models_mad
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-metron/pull/352.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 #352
----
commit 754c4b46fbd92b5b3ecea24324b1ca7e36834ab6
Author: cstella <ce...@gmail.com>
Date: 2016-11-10T16:16:29Z
Initial cut.
commit 9f39aedec3da8bc994a39b5e9585da2d012bc07b
Author: cstella <ce...@gmail.com>
Date: 2016-11-10T20:20:48Z
Added rudimentary statistical outlier detection.
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> Add rudimentary statistical outlier detection
> ---------------------------------------------
>
> Key: METRON-562
> URL: https://issues.apache.org/jira/browse/METRON-562
> Project: Metron
> Issue Type: New Feature
> Reporter: Casey Stella
> Assignee: Casey Stella
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> With the advent of the profiler, we can now capture state. Furthermore, with Stellar, we can capture statistical summaries. We should provide rudimentary outlier detection functionality in the form of Stellar functions that can operate on captured state from the profiler.
> To begin, we should enable simple outlier tests using distance from a central measure such as Median Absolute Deviation (see http://www.itl.nist.gov/div898/handbook/eda/section3/eda35h.htm).
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