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https://issues.apache.org/jira/browse/SPARK-18320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley resolved SPARK-18320.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0
                   2.1.1

LGTM; I can't recall other major additions.  I also expect us to do some more 
Scala vs Python checks as we continue migration to spark.ml in the next release 
or 2.

Thank you for checking!

I'll mark this as resolved.

This will be updated to fix version 2.1.0 once RC2 is cut.

> ML 2.1 QA: API: Python API coverage
> -----------------------------------
>
>                 Key: SPARK-18320
>                 URL: https://issues.apache.org/jira/browse/SPARK-18320
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Documentation, ML, PySpark
>            Reporter: Joseph K. Bradley
>            Assignee: Seth Hendrickson
>            Priority: Blocker
>             Fix For: 2.1.1, 2.2.0
>
>
> 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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