Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/1778#issuecomment-56311340
The colMags right now have sqrt(sum(column1)^2 + sum(column2)^2 + ... +
sum(columnN)^2)
It will be good to have (sum(column1) + sum(column2) + ... + sum(columnN))
Can I add this logic in OnlineSummarizer normL1 ? I saw normL1 is not
implemented right now...may be this is sum....This is the support number that's
commonly used in market basket analysis...will be very useful to have it...I am
right now reconstructing it using similarity_{ij}*colMags(i)*colMags(j) which
can produce rounding errors sometime..
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