Github user yanboliang commented on a diff in the pull request: https://github.com/apache/spark/pull/15621#discussion_r85134771 --- Diff: mllib/src/main/scala/org/apache/spark/ml/optim/WeightedLeastSquares.scala --- @@ -137,61 +133,68 @@ private[ml] class WeightedLeastSquares( } } - // scale aBar to standardized space in-place - val aBarValues = aBar.values - var j = 0 - while (j < numFeatures) { - if (aStd(j) == 0.0) { - aBarValues(j) = 0.0 - } else { - aBarValues(j) /= aStd(j) - } - j += 1 - } + val bBar = summary.bBar / bStd + val bbBar = summary.bbBar / (bStd * bStd) - // scale abBar to standardized space in-place - val abBarValues = abBar.values - val aStdValues = aStd.values - j = 0 - while (j < numFeatures) { - if (aStdValues(j) == 0.0) { - abBarValues(j) = 0.0 - } else { - abBarValues(j) /= (aStdValues(j) * bStd) + val aStd = summary.aStd + val aBar = { + val _aBar = summary.aBar + var i = 0 + // scale aBar to standardized space in-place + while (i < numFeatures) { + if (aStd(i) == 0.0) { + _aBar.values(i) = 0.0 --- End diff -- Yeah, I total agree. I thought the impact of this issue is trivial, but making implicit pointer definitely should be better. I made update for all variables. Thanks.
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