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Posted to issues@spark.apache.org by "Sharad Varshney (Jira)" <ji...@apache.org> on 2019/10/02 22:03:00 UTC
[jira] [Commented] (SPARK-28725) Spark ML not able to de-serialize
Logistic Regression model saved in previous version of Spark
[ https://issues.apache.org/jira/browse/SPARK-28725?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16943192#comment-16943192 ]
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)
>
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