Github user jkbradley commented on the issue:
https://github.com/apache/spark/pull/15795
+1 for consolidating the examples. The boilerplate of creating a dataset
and setting algorithm parameters takes up most of the example. I would create
1 example per algorithm which does transform, approxNearestNeighbor, and
approxSimilarityJoin. The only reason not to would be if those demos required
different datasets or algorithm settings, but I suspect they could be done in a
unified manner.
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