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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/12/01 21:49:11 UTC

[jira] [Resolved] (SPARK-11604) ML 1.6 QA: API: Python API coverage

     [ https://issues.apache.org/jira/browse/SPARK-11604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-11604.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.0

> ML 1.6 QA: API: Python API coverage
> -----------------------------------
>
>                 Key: SPARK-11604
>                 URL: https://issues.apache.org/jira/browse/SPARK-11604
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Documentation, ML, MLlib, PySpark
>            Reporter: Joseph K. Bradley
>            Assignee: Yanbo Liang
>             Fix For: 1.6.0
>
>
> For new public APIs added to MLlib, we need to check the generated HTML doc and compare the Scala & Python versions.  We need to track:
> * Inconsistency: Do class/method/parameter names match?
> * Docs: Is the Python doc missing or just a stub?  We want the Python doc to be as complete as the Scala doc.
> * API breaking changes: These should be very rare but are occasionally either necessary (intentional) or accidental.  These must be recorded and added in the Migration Guide for this release.
> ** Note: If the API change is for an Alpha/Experimental/DeveloperApi component, please note that as well.
> * Missing classes/methods/parameters: We should create to-do JIRAs for functionality missing from Python, to be added in the next release cycle.  Please use a *separate* JIRA (linked below) for this list of to-do items.



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