Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/13650#discussion_r70607599
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/RandomForestRegressor.scala
---
@@ -168,15 +173,37 @@ class RandomForestRegressionModel private[ml] (
// Note: We may add support for weights (based on tree performance)
later on.
private lazy val _treeWeights: Array[Double] =
Array.fill[Double](_trees.length)(1.0)
+ @Since("2.1.0")
+ /** @group getParam */
+ def setVarianceCol(value: String): this.type = set(varianceCol, value)
+
@Since("1.4.0")
override def treeWeights: Array[Double] = _treeWeights
+ private def predictVariance(features: Vector): Double = {
--- End diff --
Add annotation about the reference paper and formula.
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