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https://issues.apache.org/jira/browse/NIFI-12389?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pierre Villard updated NIFI-12389:
----------------------------------
Fix Version/s: 1.24.0
2.0.0
(was: 1.latest)
(was: 2.latest)
Resolution: Fixed
Status: Resolved (was: Patch Available)
> Add variance and standard deviation to AttributeRollingWindow
> -------------------------------------------------------------
>
> Key: NIFI-12389
> URL: https://issues.apache.org/jira/browse/NIFI-12389
> Project: Apache NiFi
> Issue Type: Improvement
> Components: Extensions
> Reporter: Matt Burgess
> Assignee: Matt Burgess
> Priority: Major
> Fix For: 1.24.0, 2.0.0
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> AttributeRollingWindow currently uses state to calculate metrics like sum,
> count, and mean (average) for a rolling time window (optionally using
> sub-windows to use smaller aggregates to estimate metrics for a larger total
> time window as it stores the window values in state).
> Variance and its positive square root (standard deviation) are other helpful
> univariate statistics. Using "online" algorithms such as Welford's method
> adds no extra memory requirement and runs in constant time. Apache Commons
> Math3 has such an implementation and could be used to add attributes to the
> FlowFile for variance and standard deviation. These metrics can be used for
> filtering out noise downstream, for example RouteOnAttribute and/or stateful
> UpdateAttribute where the current attribute value is more than 2 standard
> deviations away from the mean.
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