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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-9610) Class and instance weighting for ML
Date Fri, 11 Sep 2015 18:57:46 GMT

    [ https://issues.apache.org/jira/browse/SPARK-9610?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14741376#comment-14741376
] 

Joseph K. Bradley commented on SPARK-9610:
------------------------------------------

I see.  I have not seen many use cases where you need to encode different semantics into "weight"
like that.  For most ML use cases I've seen, weights are handled in a standard manner, regardless
of whether they represent a sample count, degree of trust, etc.  Let's defer on the semantics
for now.

> Class and instance weighting for ML
> -----------------------------------
>
>                 Key: SPARK-9610
>                 URL: https://issues.apache.org/jira/browse/SPARK-9610
>             Project: Spark
>          Issue Type: Umbrella
>          Components: ML
>            Reporter: Joseph K. Bradley
>
> This umbrella is for tracking tasks for adding support for label or instance weights
to ML algorithms.  These additions will help handle skewed or imbalanced data, ensemble methods,
etc.



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