Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/8866#discussion_r48581486
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/DecisionTreeRegressor.scala
---
@@ -113,6 +114,22 @@ final class DecisionTreeRegressionModel private[ml] (
rootNode.predictImpl(features).prediction
}
+ /** We need to update this function if we ever add other impurity
measures. */
+ protected def predictVariance(features: Vector): Double = {
+ rootNode.predictImpl(features).impurityStats.calculate()
+ }
+
+ override protected def transformImpl(dataset: DataFrame): DataFrame = {
+ val predictUDF = udf { (features: Vector) => predict(features) }
+ val predictVarianceUDF = udf { (features: Vector) =>
predictVariance(features) }
+ if (isDefined(varianceCol)) {
--- End diff --
Users could technically disable the prediction column, so it'd be nice to
add each column iff the column Param is defined and not an empty String.
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