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


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:
>             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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