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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/11/07 19:33:59 UTC
[jira] [Updated] (SPARK-18321) ML 2.1 QA: API: Java compatibility,
docs
[ https://issues.apache.org/jira/browse/SPARK-18321?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-18321:
--------------------------------------
Fix Version/s: (was: 2.0.0)
> ML 2.1 QA: API: Java compatibility, docs
> ----------------------------------------
>
> Key: SPARK-18321
> URL: https://issues.apache.org/jira/browse/SPARK-18321
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, Java API, ML, MLlib
> Reporter: Joseph K. Bradley
> Assignee: yuhao yang
>
> Check Java compatibility for MLlib for this release.
> 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.
> *** *Note*: The Java docs do not always match the bytecode. If you find a problem, please verify it using {{javap}}.
> ** 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.)
> If you find issues, please comment here, or for larger items, create separate JIRAs and link here as "requires".
> Note that we should not break APIs from previous releases. So if you find a problem, check if it was introduced in this Spark release (in which case we can fix it) or in a previous one (in which case we can create a java-friendly version of the API).
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