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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/07/17 10:16:06 UTC

[jira] [Updated] (SPARK-2552) Stabilize the computation of logistic function in pyspark

     [ https://issues.apache.org/jira/browse/SPARK-2552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-2552:
---------------------------------

    Description: 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.  (was: 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.)

> 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
>              Labels: Starter
>
> 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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