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https://issues.apache.org/jira/browse/PIG-277?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12607602#action_12607602
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Pi Song commented on PIG-277:
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Since we're not gonna do correlation between too many datasets I think we could
just do
x*x - x - n =0 => ( x )(x-1) = n
and then keep substituting x by 1,2,3, ... until it's got a match or ( x
)(x-1) > n
we can do it like a binary search to get O(log n) if you like but won't get
much of out it.
> UDF for computing correlation and covariance between data sets
> --------------------------------------------------------------
>
> Key: PIG-277
> URL: https://issues.apache.org/jira/browse/PIG-277
> Project: Pig
> Issue Type: New Feature
> Reporter: Ajay Garg
> Priority: Minor
> Attachments: stat.patch
>
>
> UDFs for computing correlation and covariance between data sets. Use
> following commands to compute covariance
> A = load 'input.xml' using PigStorage(':');
> B = group A all;
> define c COV('a','b','c');
> D = foreach B generate group,c(A.$0,A.$1,A.$2);
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