Github user dbtsai commented on a diff in the pull request: https://github.com/apache/spark/pull/10274#discussion_r48805155 --- Diff: mllib/src/main/scala/org/apache/spark/ml/optim/WeightedLeastSquares.scala --- @@ -86,6 +86,22 @@ private[ml] class WeightedLeastSquares( val aaBar = summary.aaBar val aaValues = aaBar.values + if (bStd == 0) { + if (fitIntercept) { + logWarning(s"The standard deviation of the label is zero, so the coefficients will be " + + s"zeros and the intercept will be the mean of the label; as a result, " + + s"training is not needed.") + val coefficients = new DenseVector(Array.ofDim(k-1)) + val intercept = bBar + val diagInvAtWA = new DenseVector(Array(0D)) + return new WeightedLeastSquaresModel(coefficients, intercept, diagInvAtWA) + } + else { --- End diff -- move `else` up.
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