Github user WeichenXu123 commented on a diff in the pull request: https://github.com/apache/spark/pull/17894#discussion_r132068663 --- Diff: mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala --- @@ -1722,25 +1723,22 @@ private class LogisticAggregator( var maxMargin = Double.NegativeInfinity val margins = new Array[Double](numClasses) + val featureStdArray = new Array[Double](features.size) --- End diff -- I suggest change the `featureStdArray` as Aggregator class member, so that avoid each update allocate a new temporary array.
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