Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/10274#discussion_r47530361
--- 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.ofDim(k))
+ return new WeightedLeastSquaresModel(coefficients, intercept,
diagInvAtWA)
+ }
+ else {
+ logWarning(s"The standard deviation of the label is zero. " +
+ "Consider setting FitIntercept=true.")
--- End diff --
nit: "FitIntercept=true" -> "fitIntercept = true"
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