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Posted to issues@spark.apache.org by "Weichen Xu (JIRA)" <ji...@apache.org> on 2018/09/04 03:48:00 UTC
[jira] [Updated] (SPARK-25319) Spark MLlib, GraphX 2.4 QA umbrella
[ https://issues.apache.org/jira/browse/SPARK-25319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Weichen Xu updated SPARK-25319:
-------------------------------
Description:
This JIRA lists tasks for the next Spark release's QA period for MLlib and GraphX. *SparkR is separate.
The list below gives an overview of what is involved, and the corresponding JIRA issues are linked below that.
h2. API
* Check binary API compatibility for Scala/Java
* Audit new public APIs (from the generated html doc)
** Scala
** Java compatibility
** Python coverage
* Check Experimental, DeveloperApi tags
h2. Algorithms and performance
* Performance tests
h2. Documentation and example code
* For new algorithms, create JIRAs for updating the user guide sections & examples
* Update Programming Guide
* Update website
was:
This JIRA lists tasks for the next Spark release's QA period for MLlib and GraphX. *SparkR is separate: SPARK-23114.*
The list below gives an overview of what is involved, and the corresponding JIRA issues are linked below that.
h2. API
* Check binary API compatibility for Scala/Java
* Audit new public APIs (from the generated html doc)
** Scala
** Java compatibility
** Python coverage
* Check Experimental, DeveloperApi tags
h2. Algorithms and performance
* Performance tests
h2. Documentation and example code
* For new algorithms, create JIRAs for updating the user guide sections & examples
* Update Programming Guide
* Update website
> Spark MLlib, GraphX 2.4 QA umbrella
> -----------------------------------
>
> Key: SPARK-25319
> URL: https://issues.apache.org/jira/browse/SPARK-25319
> Project: Spark
> Issue Type: Umbrella
> Components: Documentation, GraphX, ML, MLlib
> Reporter: Weichen Xu
> Assignee: Joseph K. Bradley
> Priority: Critical
> Fix For: 2.3.0
>
>
> This JIRA lists tasks for the next Spark release's QA period for MLlib and GraphX. *SparkR is separate.
> The list below gives an overview of what is involved, and the corresponding JIRA issues are linked below that.
> h2. API
> * Check binary API compatibility for Scala/Java
> * Audit new public APIs (from the generated html doc)
> ** Scala
> ** Java compatibility
> ** Python coverage
> * Check Experimental, DeveloperApi tags
> h2. Algorithms and performance
> * Performance tests
> h2. Documentation and example code
> * For new algorithms, create JIRAs for updating the user guide sections & examples
> * Update Programming Guide
> * Update website
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