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https://issues.apache.org/jira/browse/SPARK-20503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-20503:
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Summary: ML 2.2 QA: API: Python API coverage (was: CLONE - ML 2.1 QA: API:
Python API coverage)
> ML 2.2 QA: API: Python API coverage
> -----------------------------------
>
> Key: SPARK-20503
> URL: https://issues.apache.org/jira/browse/SPARK-20503
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, ML, PySpark
> Reporter: Joseph K. Bradley
> Assignee: Seth Hendrickson
> Priority: Blocker
>
> 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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