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https://issues.apache.org/jira/browse/SPARK-2552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-2552.
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Resolution: Fixed
Fix Version/s: 1.1.0
Issue resolved by pull request 1493
[https://github.com/apache/spark/pull/1493]
> Stabilize the computation of logistic function in pyspark
> ---------------------------------------------------------
>
> Key: SPARK-2552
> URL: https://issues.apache.org/jira/browse/SPARK-2552
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Labels: Starter
> Fix For: 1.1.0
>
>
> exp(1000) throws an error in python. For logistic function, we can use either
> 1 / ( 1 + exp( -x ) ) or 1 - 1 / (1 + exp( x ) ) to compute its value which
> ensuring exp always takes a negative value.
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