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From "Yanbo Liang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-18322) ML, Graph 2.1 QA: Update user guide for new features & APIs
Date Sun, 04 Dec 2016 13:53:58 GMT

    [ https://issues.apache.org/jira/browse/SPARK-18322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15719982#comment-15719982
] 

Yanbo Liang commented on SPARK-18322:
-------------------------------------

I have checked major changes during this release cycle, and found the user guide docs corresponding
to most of the changes were updated except for:
* SPARK-18080 Python examples for {{LSH}} were missing in the user guide.
* SPARK-18633 Multi-class logistic regression summary python example and docs.
* SPARK-18705 Docs for one-pass solver for linear regression with L1 and elastic-net penalties.

I think SPARK-18080 and SPARK-18633 will slip to 2.2 definitely. And for SPARK-18705, it's
a document for developers, I think it's OK to slip to 2.2 as well if we don't have enough
time. I have linked corresponding JIRA here. [~josephkb] Please let me know whether it's OK
to resolve this task. Thanks!

> ML, Graph 2.1 QA: Update user guide for new features & APIs
> -----------------------------------------------------------
>
>                 Key: SPARK-18322
>                 URL: https://issues.apache.org/jira/browse/SPARK-18322
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Documentation, GraphX, ML, MLlib
>            Reporter: Joseph K. Bradley
>            Assignee: Yanbo Liang
>            Priority: Critical
>
> Check the user guide vs. a list of new APIs (classes, methods, data members) to see what
items require updates to the user guide.
> For each feature missing user guide doc:
> * Create a JIRA for that feature, and assign it to the author of the feature
> * Link it to (a) the original JIRA which introduced that feature ("related to") and (b)
to this JIRA ("requires").
> For MLlib:
> * This task does not include major reorganizations for the programming guide.
> * We should now begin copying algorithm details from the spark.mllib guide to spark.ml
as needed, rather than just linking back to the corresponding algorithms in the spark.mllib
user guide.
> If you would like to work on this task, please comment, and we can create & link
JIRAs for parts of this work.



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