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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/02/12 16:30:42 UTC
[GitHub] srowen commented on issue #23751: [SPARK-26852][PYTHON] Add
absolute transform to CrossValidator
srowen commented on issue #23751: [SPARK-26852][PYTHON] Add absolute transform to CrossValidator
URL: https://github.com/apache/spark/pull/23751#issuecomment-462830575
Wouldn't you just want to return the absolute value of this metric, if your goal is to minimize the absolute value? These are error-like metrics, right -- those are inherently nonnegative. Or else what's an example of a metric that is properly negative sometimes but needs to be close to 0 ideally? i'm not sure I see the use case here.
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