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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. -- This message was sent by Atlassian JIRA (v6.2#6252)