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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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org