You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Sharad Varshney (JIRA)" <ji...@apache.org> on 2019/08/14 06:52:00 UTC

[jira] [Created] (SPARK-28725) Spark ML not able to de-serialize Logistic Regression model saved in previous version of Spark

Sharad Varshney created SPARK-28725:
---------------------------------------

             Summary: 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


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
(v7.6.14#76016)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org