[jira] [Updated] (SPARK-7146) Should ML sharedParams be a public API?

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

     [ https://issues.apache.org/jira/browse/SPARK-7146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley updated SPARK-7146:
-------------------------------------
    Target Version/s: 2.0.0  (was: )

> Should ML sharedParams be a public API?
> ---------------------------------------
>
>                 Key: SPARK-7146
>                 URL: https://issues.apache.org/jira/browse/SPARK-7146
>             Project: Spark
>          Issue Type: Brainstorming
>          Components: ML
>            Reporter: Joseph K. Bradley
>
> Discussion: Should the Param traits in sharedParams.scala be public?
> Pros:
> * Sharing the Param traits helps to encourage standardized Param names and documentation.
> Cons:
> * Users have to be careful since parameters can have different meanings for different algorithms.
> * If the shared Params are public, then implementations could test for the traits.  It is unclear if we want users to rely on these traits, which are somewhat experimental.
> Currently, the shared params are private.
> Proposal: Either
> (a) make the shared params private to encourage users to write specialized documentation and value checks for parameters, or
> (b) design a better way to encourage overriding documentation and parameter value checks



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