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Apache Spark commented on SPARK-6025: ------------------------------------- User 'MechCoder' has created a pull request for this issue: https://github.com/apache/spark/pull/4906 > Helper method for GradientBoostedTrees to compute validation error > ------------------------------------------------------------------ > > Key: SPARK-6025 > URL: https://issues.apache.org/jira/browse/SPARK-6025 > Project: Spark > Issue Type: New Feature > Components: MLlib > Affects Versions: 1.3.0 > Reporter: Joseph K. Bradley > Priority: Minor > > Create a helper method for computing the error at each iteration of boosting. > This should be used post-hoc to compute the error efficiently on a new > dataset. > E.g.: > {code} > def evaluateEachIteration(data: RDD[LabeledPoint], evaluator): Array[Double] > {code} > Notes: > * It should run in the same big-O time as predict() by keeping a running > total (residual). > * A different method name could be good. > * It could take an evaluator and/or could evaluate using the training metric > by default. -- 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