Github user andy327 commented on the pull request:
https://github.com/apache/spark/pull/1698#issuecomment-50821196
I see that #1207 covers re-scaling in mllib.util.FeatureScaling, but from
what I can tell, it calls RowMatrix.computeColumnSummaryStatistics, making it
not a lazy transformation. Would there be a benefit to implementing feature
scaling without calling any RDD actions?
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