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