[
https://issues.apache.org/jira/browse/SPARK-11988?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15029321#comment-15029321
]
Villu Ruusmann commented on SPARK-11988:
----------------------------------------
On a related note, I am developing an Apache Spark function class that depends
on the latest version of the JPMML-Evaluator library. The problem is that Spark
1.5.2 includes JPMML-Model version 1.1.15, which shadows my JPMML-Model version
1.2.7. As a result, I am getting the following ClassCastException:
"org.dmg.pmml.DataField cannot be cast to org.dmg.pmml.Indexable".
Basically, it is the same "Spark contains an old version, but my application
wants to use a newer version" issue as with the Google Guava library.
> Update JPMML to 1.2.7
> ---------------------
>
> Key: SPARK-11988
> URL: https://issues.apache.org/jira/browse/SPARK-11988
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 1.5.2
> Reporter: Sean Owen
> Assignee: Sean Owen
> Priority: Minor
>
> Pretty much says it all: update to the more recent JPMML 1.2.x line from
> 1.1.x.
> The API did change between the 2 versions, though all use of it is internal
> to Spark, so doesn't affect end users in theory.
> In practice, JPMML leaks into the classpath and might cause issues. My
> rationale for the change is that 1.2.x is more recent and more stable (right
> [~vfed]?) so if people are going to run into it, might as well run into
> something more modern.
> And bug fixes and more support and all that.
> CC [~selvinsource]
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
