Joseph K. Bradley created SPARK-7146:
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Summary: 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 private?
Pros:
* Users have to be careful since parameters can have different meanings for
different algorithms.
Cons:
* Sharing the Param traits helps to encourage standardized Param names and
documentation.
* If the shared Params are public, then implementations could test for the
traits. We probably do not want users to do that.
Currently, the shared params are public but marked as DeveloperApi.
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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