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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-25323) ML 2.4 QA: API: Python API coverage
Date Mon, 01 Oct 2018 17:16:01 GMT

     [ https://issues.apache.org/jira/browse/SPARK-25323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiangrui Meng updated SPARK-25323:
----------------------------------
    Priority: Major  (was: Critical)

> ML 2.4 QA: API: Python API coverage
> -----------------------------------
>
>                 Key: SPARK-25323
>                 URL: https://issues.apache.org/jira/browse/SPARK-25323
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Documentation, ML, PySpark
>    Affects Versions: 2.4.0
>            Reporter: Weichen Xu
>            Priority: Major
>
> For new public APIs added to MLlib ({{spark.ml}} only), we need to check the generated
HTML doc and compare the Scala & Python versions.
> * *GOAL*: Audit and create JIRAs to fix in the next release.
> * *NON-GOAL*: This JIRA is _not_ for fixing the API parity issues.
> 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.*



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