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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/11/07 19:31:58 UTC
[jira] [Updated] (SPARK-18320) ML 2.1 QA: API: Python API coverage
[ https://issues.apache.org/jira/browse/SPARK-18320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-18320:
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Fix Version/s: (was: 2.0.0)
> 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
> Priority: Blocker
>
> For new public APIs added to MLlib, we need to check the generated HTML doc and compare the Scala & Python versions. 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.
> ** *NOTE: These missing features should be added in the next release. This work is just to generate a list of to-do items for the future.*
> UPDATE: This only needs to cover spark.ml since spark.mllib is going into maintenance mode.
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