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Xiangrui Meng commented on SPARK-3278: -------------------------------------- Did you try truncating the digits of x to reduce the number of possible buckets? If the loss of precision is not super important, this could help scalability. > Isotonic regression > ------------------- > > Key: SPARK-3278 > URL: https://issues.apache.org/jira/browse/SPARK-3278 > Project: Spark > Issue Type: New Feature > Components: MLlib > Reporter: Xiangrui Meng > Assignee: Martin Zapletal > Fix For: 1.3.0 > > > Add isotonic regression for score calibration. -- 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