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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/06/02 00:23:18 UTC
[jira] [Assigned] (SPARK-7529) Java compatibility check for MLlib
1.4
[ https://issues.apache.org/jira/browse/SPARK-7529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-7529:
-----------------------------------
Assignee: Joseph K. Bradley (was: Apache Spark)
> Java compatibility check for MLlib 1.4
> --------------------------------------
>
> Key: SPARK-7529
> URL: https://issues.apache.org/jira/browse/SPARK-7529
> Project: Spark
> Issue Type: Sub-task
> Components: ML, MLlib
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
> Assignee: Joseph K. Bradley
>
> Check Java compatibility for MLlib 1.4. We should create separate JIRAs for each possible issue.
> Checking compatibility means:
> * comparing with the Scala doc
> * verifying that Java docs are not messed up by Scala type incompatibilities. Some items to look out for are:
> ** Check for generic "Object" types where Java cannot understand complex Scala types.
> ** Check Scala objects (especially with nesting!) carefully.
> ** Check for uses of Scala and Java enumerations, which can show up oddly in the other language's doc.
> * If needed for complex issues, create small Java unit tests which execute each method. (The correctness can be checked in Scala.)
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