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https://issues.apache.org/jira/browse/SPARK-6025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14348438#comment-14348438
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Apache Spark commented on SPARK-6025:
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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.
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