Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/17076#discussion_r103187723
--- 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 --
We used to check it I think? At some point there was a BLAS operation used
that only worked for dense vectors. I think during all the linear model
refactor for 2.0/2.1 that was eliminated
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