Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/19020#discussion_r156758913
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -480,10 +640,14 @@ 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)
extends RegressionModel[Vector, LinearRegressionModel]
with LinearRegressionParams with MLWritable {
+ def this(uid: String, coefficients: Vector, intercept: Double) =
+ this(uid, coefficients, intercept, 1.0)
--- End diff --
is it better to set default scale to a impossible value like 0, or -1
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