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https://issues.apache.org/jira/browse/SPARK-5101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-5101.
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Resolution: Fixed
Fix Version/s: 1.3.0
This was resolved a while ago:
https://github.com/apache/spark/commit/60e2d9e2902b132b14191c9791c71e8f0d42ce9d
> Add common ML math functions
> ----------------------------
>
> Key: SPARK-5101
> URL: https://issues.apache.org/jira/browse/SPARK-5101
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Xiangrui Meng
> Assignee: DB Tsai
> Priority: Minor
> Fix For: 1.3.0
>
>
> We can add common ML math functions to MLlib. It may be a little tricky to
> implement those functions in a numerically stable way. For example,
> {code}
> math.log(1 + math.exp(x))
> {code}
> should be implemented as
> {code}
> if (x > 0) {
> x + math.log1p(math.exp(-x))
> } else {
> math.log1p(math.exp(x))
> }
> {code}
> It becomes hard to maintain if we have multiple copies of the correct
> implementation in the codebase. A good place for those functions could be
> `mllib.util.MathFunctions`.
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