srowen commented on a change in pull request #28772:
URL: https://github.com/apache/spark/pull/28772#discussion_r438377687
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File path:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
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@@ -961,51 +962,48 @@ class LinearRegressionSummary private[regression] (
private val privateModel: LinearRegressionModel,
private val diagInvAtWA: Array[Double]) extends Serializable {
- @transient private val metrics = new RegressionMetrics(
- predictions
- .select(col(predictionCol), col(labelCol).cast(DoubleType))
- .rdd
- .map { case Row(pred: Double, label: Double) => (pred, label) },
- !privateModel.getFitIntercept)
+ @transient private val metrics = {
+ val weightCol =
+ if (!privateModel.isDefined(privateModel.weightCol) ||
privateModel.getWeightCol.isEmpty) {
+ lit(1.0)
+ } else {
+ checkNonNegativeWeight(col(privateModel.getWeightCol).cast(DoubleType))
Review comment:
Is this check needed -- would the regression implementation have already
checked it? OK if not.
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