Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/19020#discussion_r147327208
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -480,10 +638,14 @@ object LinearRegression extends
DefaultParamsReadable[LinearRegression] {
class LinearRegressionModel private[ml] (
@Since("1.4.0") override val uid: String,
@Since("2.0.0") val coefficients: Vector,
- @Since("1.3.0") val intercept: Double)
+ @Since("1.3.0") val intercept: Double,
+ @Since("2.3.0") val scale: Double)
--- End diff --
If scale is not used in the prediction process, I would suggest not to put
it into the model.
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