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https://issues.apache.org/jira/browse/SOLR-14478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-14478:
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Description:
Currently the *diff* function performs *serial differencing* on a numeric
vector. This ticket will allow the diff function to perform serial differencing
on all the rows of a *matrix*. This will make it easy to perform *correlations*
on a matrix of *differenced time series vectors* using math expressions.
A screen shot is attached with *diff* working on a matrix of time series data.
The effect is powerful. It removes the trend from a matrix of time series
vectors in one simple function call.
was:
Currently the *diff* function performs *serial differencing* on a numeric
vector. This ticket will allow the diff function to perform serial differencing
on all the rows of a *matrix*. This will make it easy to perform *correlations*
on a matrix of *differenced time series vectors* using math expressions.
A screen shot is attached with *diff* working on a matrix of time series data.
The effect is powerful. It removes the trend from a matrix of time series
vectors in on simple function call.
> Allow the diff Stream Evaluator to operate on the rows of a matrix
> ------------------------------------------------------------------
>
> Key: SOLR-14478
> URL: https://issues.apache.org/jira/browse/SOLR-14478
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Components: streaming expressions
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Attachments: SOLR-14478.patch, Screen Shot 2020-05-14 at 8.54.07
> AM.png
>
>
> Currently the *diff* function performs *serial differencing* on a numeric
> vector. This ticket will allow the diff function to perform serial
> differencing on all the rows of a *matrix*. This will make it easy to perform
> *correlations* on a matrix of *differenced time series vectors* using math
> expressions.
> A screen shot is attached with *diff* working on a matrix of time series
> data. The effect is powerful. It removes the trend from a matrix of time
> series vectors in one simple function call.
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