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[SPARK-14662] LinearRegressionModel use default parameters if yStd is 0 #12415

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[SPARK-14662] LinearRegressionModel use default parameters if yStd is 0 #12415

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4 changes: 2 additions & 2 deletions mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -241,7 +241,7 @@ class LinearRegression @Since("1.3.0") (@Since("1.3.0") override val uid: String
val coefficients = Vectors.sparse(numFeatures, Seq())
val intercept = yMean

val model = new LinearRegressionModel(uid, coefficients, intercept)
val model = copyValues(new LinearRegressionModel(uid, coefficients, intercept))
// Handle possible missing or invalid prediction columns
val (summaryModel, predictionColName) = model.findSummaryModelAndPredictionCol()

Expand All @@ -253,7 +253,7 @@ class LinearRegression @Since("1.3.0") (@Since("1.3.0") override val uid: String
model,
Array(0D),
Array(0D))
return copyValues(model.setSummary(trainingSummary))
return model.setSummary(trainingSummary)
} else {
require($(regParam) == 0.0, "The standard deviation of the label is zero. " +
"Model cannot be regularized.")
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