Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/7099#discussion_r33707618
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -140,7 +143,10 @@ class LinearRegression(override val uid: String)
logWarning(s"The standard deviation of the label is zero, so the
weights will be zeros " +
s"and the intercept will be the mean of the label; as a result,
training is not needed.")
if (handlePersistence) instances.unpersist()
- return new LinearRegressionModel(uid, Vectors.sparse(numFeatures,
Seq()), yMean)
+ val weights = Vectors.sparse(numFeatures, Seq())
+ val intercept = yMean
+ val summary = generateTrainingResults(instances, Array(), weights,
intercept)
--- End diff --
Gotcha. (I should have looked more at the context.)
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