Github user WeichenXu123 commented on a diff in the pull request: https://github.com/apache/spark/pull/17894#discussion_r132069046 --- 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) features.foreachActive { (index, value) => - val stdValue = value / localFeaturesStd(index) - var j = 0 - while (j < numClasses) { - margins(j) += localCoefficients(index * numClasses + j) * stdValue - j += 1 - } + featureStdArray(index) = value / localFeaturesStd(index) --- End diff -- Here why don't handle the case `localFeaturesStd(index) == 0.0` ? I remember other place it handle such case.
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