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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-16486) Python API parity issues from 2.0 QA
Date Mon, 11 Jul 2016 21:04:11 GMT

     [ https://issues.apache.org/jira/browse/SPARK-16486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joseph K. Bradley updated SPARK-16486:
--------------------------------------
    Issue Type: Umbrella  (was: Sub-task)
        Parent:     (was: SPARK-14808)

> Python API parity issues from 2.0 QA
> ------------------------------------
>
>                 Key: SPARK-16486
>                 URL: https://issues.apache.org/jira/browse/SPARK-16486
>             Project: Spark
>          Issue Type: Umbrella
>          Components: Documentation, ML, PySpark
>            Reporter: Joseph K. Bradley
>            Assignee: holdenk
>            Priority: Blocker
>
> 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 as "requires") for this list of to-do items.
> ** *NOTE: These missing features should be added in the next release.  This work is just
to generate a list of to-do items for the future.*
> UPDATE: This only needs to cover spark.ml since spark.mllib is going into maintenance
mode.



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