You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/05/11 21:24:59 UTC

[jira] [Created] (SPARK-7535) Audit Pipeline APIs

Joseph K. Bradley created SPARK-7535:
----------------------------------------

             Summary: Audit Pipeline APIs
                 Key: SPARK-7535
                 URL: https://issues.apache.org/jira/browse/SPARK-7535
             Project: Spark
          Issue Type: Sub-task
          Components: ML, PySpark
            Reporter: Joseph K. Bradley


This is an umbrella for auditing the Pipeline (spark.ml) APIs.  Items to check:
* Public/protected/private access
* Consistency across spark.ml
* Classes, methods, and parameters in spark.mllib but missing in spark.ml
** We should create JIRAs for each of these (under an umbrella) as to-do items for future releases.

For each algorithm or API component, create a subtask under this umbrella.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org