Github user Yunni commented on the issue:
https://github.com/apache/spark/pull/15800
@sethah That sounds good to me, expect that there is no `posexplode()` in
spark AFAIK. Do you think `hashDistance(x: Array[Vector], y: Array[Vector])` is
a better workaround, or we should still use `hashDistance(x: Vector, y:
Vector)` and implement our own `posexplode()`?
@jkbradley
> I'm proposing to compute some number of buckets (which I called "LxK"
above), computing indicators for each, and averaging the indicators.
Yes, I mean we average K 0/1 indicators for each Vector, and get L averaged
indicators. Do you agree with this part?
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