You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/02/21 16:16:41 UTC
[GitHub] srowen commented on issue #23851: [SPARK-26950][SQL][TEST] Make
RandomDataGenerator use Float.NaN or Double.NaN for all NaN values
srowen commented on issue #23851: [SPARK-26950][SQL][TEST] Make RandomDataGenerator use Float.NaN or Double.NaN for all NaN values
URL: https://github.com/apache/spark/pull/23851#issuecomment-466061704
Huh! I didn't realize there were many representations of NaN.
https://en.wikipedia.org/wiki/IEEE_754-1985#NaN
This seems OK.
However this code caught my attention; it seems to be trying to generate floats 'uniformly' with `intBitsToFloat(r.nextInt())` . That's not uniform; small values are way more likely. That may be desirable or not matter. If you feel like it, maybe change `randomNumeric`'s `uniformRand` argument to not say 'uniform'.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org