[jira] [Commented] (SPARK-3702) Standardize MLlib classes for learners, models

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-3702?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14241611#comment-14241611 ] 

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

APIs for Classifiers, Regressors

> 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 "depends on" 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/1I-8PD0DSLEZzzXURYZwmqAFn_OMBc08hgDL1FZnVBmw/]



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