Github user sethah commented on a diff in the pull request: https://github.com/apache/spark/pull/17076#discussion_r103139054 --- Diff: mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala --- @@ -440,19 +440,9 @@ private class LinearSVCAggregator( private val numFeatures: Int = bcFeaturesStd.value.length private val numFeaturesPlusIntercept: Int = if (fitIntercept) numFeatures + 1 else numFeatures - private val coefficients: Vector = bcCoefficients.value private var weightSum: Double = 0.0 private var lossSum: Double = 0.0 - require(numFeaturesPlusIntercept == coefficients.size, s"Dimension mismatch. Coefficients " + - s"length ${coefficients.size}, FeaturesStd length ${numFeatures}, fitIntercept: $fitIntercept") - - private val coefficientsArray = coefficients match { --- End diff -- Note this eliminates the check for sparse coefficients, but I'm not sure it was ever necessary. We don't do it in other aggregators, this is a private class so we don't need to worry about people misusing it. Appreciate other thoughts.
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