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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-3702) Standardize MLlib classes for learners, models
Date Wed, 13 May 2015 18:45:01 GMT

    [ https://issues.apache.org/jira/browse/SPARK-3702?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14542416#comment-14542416
] 

Joseph K. Bradley commented on SPARK-3702:
------------------------------------------

I would call it a sub-task, but we have not yet addressed it.  Spark 1.4 won't include clustering
in the Pipelines API, I'm afraid, but I'd like to get started adding it ASAP so it can hopefully
be in 1.5.  I'll make a JIRA and link it here.

> Standardize MLlib classes for learners, models
> ----------------------------------------------
>
>                 Key: SPARK-3702
>                 URL: https://issues.apache.org/jira/browse/SPARK-3702
>             Project: Spark
>          Issue Type: Sub-task
>          Components: MLlib
>            Reporter: Joseph K. Bradley
>            Assignee: Joseph K. Bradley
>            Priority: Blocker
>
> Summary: Create a class hierarchy for learning algorithms and the models those algorithms
produce.
> This is a super-task of several sub-tasks (but JIRA does not allow subtasks of subtasks).
 See the "requires" links below for subtasks.
> Goals:
> * give intuitive structure to API, both for developers and for generated documentation
> * support meta-algorithms (e.g., boosting)
> * support generic functionality (e.g., evaluation)
> * reduce code duplication across classes
> [Design doc for class hierarchy | https://docs.google.com/document/d/1BH9el33kBX8JiDdgUJXdLW14CA2qhTCWIG46eXZVoJs]



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