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https://issues.apache.org/jira/browse/SPARK-30931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-30931:
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Assignee: Huaxin Gao
> ML 3.0 QA: API: Python API coverage
> -----------------------------------
>
> Key: SPARK-30931
> URL: https://issues.apache.org/jira/browse/SPARK-30931
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, ML, MLlib, PySpark
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Assignee: Huaxin Gao
> 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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