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Sharad Varshney commented on SPARK-28725: ----------------------------------------- Even the same version of Spark 2.4.3 shows huge difference of probabilities. > Spark ML not able to de-serialize Logistic Regression model saved in previous > version of Spark > ---------------------------------------------------------------------------------------------- > > Key: SPARK-28725 > URL: https://issues.apache.org/jira/browse/SPARK-28725 > Project: Spark > Issue Type: Bug > Components: ML > Affects Versions: 2.4.3 > Environment: PROD > Reporter: Sharad Varshney > Priority: Major > > Logistic Regression model saved using Spark version 2.3.0 in HDI is not > correctly de-serialized with Spark 2.4.3 version. It loads into the memory > but probabilities it emits on inference is like 1.45 e-44(to 44th decimal > place approx equal to 0) > -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org