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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/03/03 16:57:47 UTC
[GitHub] [spark] srowen commented on issue #27758: [SPARK-31007][ML] KMeans
optimization based on triangle-inequality
srowen commented on issue #27758: [SPARK-31007][ML] KMeans optimization based on triangle-inequality
URL: https://github.com/apache/spark/pull/27758#issuecomment-594055650
If I'm reading that right, it's slower to train in many cases in the first instance, and slightly faster at scale in the second. I'm surprised because I'd have thought it's more easily a win, even with the overhead of calculating stats. Is the purpose more about prediction speed? I just wonder how much one is worth vs the other.
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