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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-1856) Standardize MLlib interfaces
Date Tue, 05 Aug 2014 20:24:14 GMT

    [ https://issues.apache.org/jira/browse/SPARK-1856?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14086697#comment-14086697
] 

Xiangrui Meng commented on SPARK-1856:
--------------------------------------

Yes, MLI and MLbase are research projects at AMPLab. They are exploring the frontier of practical
machine learning. Stable ideas/features from MLI and MLbase will be migrated into MLlib, and
this is part of the effort.

> Standardize MLlib interfaces
> ----------------------------
>
>                 Key: SPARK-1856
>                 URL: https://issues.apache.org/jira/browse/SPARK-1856
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>            Priority: Blocker
>
> Instead of expanding MLlib based on the current class naming scheme (ProblemWithAlgorithm),
 we should standardize MLlib's interfaces that clearly separate datasets, formulations, algorithms,
parameter sets, and models.



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