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https://issues.apache.org/jira/browse/SPARK-18316?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-18316:
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Description:
h1. WIP - still being updated!
This JIRA lists tasks for the next Spark release's QA period for MLlib, GraphX,
and SparkR.
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
* Major new algorithms: MinHash, RandomProjection
h2. Documentation and example code
* For new algorithms, create JIRAs for updating the user guide sections &
examples
* Update Programming Guide
* Update website
was:
h1. WIP - still being updated!
This JIRA lists tasks for the next Spark release's QA period for MLlib, GraphX,
and SparkR.
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
** R
* Check Experimental, DeveloperApi tags
h2. Algorithms and performance
*Performance*
* _List any other missing performance tests from spark-perf here_
* perf-tests for transformers (SPARK-2838)
* MultilayerPerceptron (SPARK-11911)
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 2.1 QA umbrella
> -----------------------------------
>
> Key: SPARK-18316
> URL: https://issues.apache.org/jira/browse/SPARK-18316
> Project: Spark
> Issue Type: Umbrella
> Components: Documentation, GraphX, ML, MLlib
> Reporter: Joseph K. Bradley
> Assignee: Joseph K. Bradley
> Priority: Critical
>
> h1. WIP - still being updated!
> This JIRA lists tasks for the next Spark release's QA period for MLlib,
> GraphX, and SparkR.
> 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
> * Major new algorithms: MinHash, RandomProjection
> 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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