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From "Sean R. Owen (Jira)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-28725) Spark ML not able to de-serialize Logistic Regression model saved in previous version of Spark
Date Sat, 26 Oct 2019 23:06:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-28725?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16960461#comment-16960461
] 

Sean R. Owen commented on SPARK-28725:
--------------------------------------

There's really not much here to go on. You haven't shown a model or shown how its deserialized
(actual vs expected)

> 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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