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https://issues.apache.org/jira/browse/SPARK-28604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-28604.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25337
[https://github.com/apache/spark/pull/25337]
> Use log1p(x) instead of log(1+x) and expm1(x) instead of exp(x)-1
> -----------------------------------------------------------------
>
> Key: SPARK-28604
> URL: https://issues.apache.org/jira/browse/SPARK-28604
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.4.3
> Reporter: Sean Owen
> Assignee: Sean Owen
> Priority: Minor
> Fix For: 3.0.0
>
>
> Following https://issues.apache.org/jira/browse/SPARK-28519, I noticed that
> there are number of places in the MLlib code that may be, for example,
> computing log(1+x) where x is very small. All math libraries specialize for
> this case with log1p(x) for better accuracy. Same for expm1. It shouldn't
> hurt to use log1p/expm1 where possible and in a few cases I think it will
> improve accuracy, as sometimes x is for example a very small probability.
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