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https://issues.apache.org/jira/browse/SPARK-7529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-7529:
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Description:
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
(E.g., check for generic "Object" types where Java cannot understand complex
Scala types. Also check Scala objects (especially with nesting!) carefully.
* If needed for complex issues, create small Java unit tests which execute each
method. (The correctness can be checked in Scala.)
was:
Check Java compatibility for MLlib 1.4. We should create separate JIRAs for
each possible issue.
Ideally, checking compatibility means creating small Java unit tests which
execute each method. (The correctness can be checked in Scala.)
> 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
>
> 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
> (E.g., check for generic "Object" types where Java cannot understand complex
> Scala types. Also check Scala objects (especially with nesting!) carefully.
> * 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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