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https://issues.apache.org/jira/browse/SPARK-20503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16012101#comment-16012101
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Nick Pentreath edited comment on SPARK-20503 at 5/16/17 10:21 AM:
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I think I've highlighted all the API gaps in the links above. These can be
handled in the next dev cycle (some are in progress already). Checking docs and
guide now.
was (Author: mlnick):
I think I've highlighted all the API gaps in the links above. These can be
handled in the next dev cycle (some are in progress already). Resolving this.
> 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: Nick Pentreath
> 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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