Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12370#discussion_r65994490
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/BaggedPoint.scala ---
@@ -33,13 +33,20 @@ import org.apache.spark.util.random.XORShiftRandom
* this datum has 1 copy, 0 copies, and 4 copies in the 3 subsamples,
respectively.
*
* @param datum Data instance
- * @param subsampleWeights Weight of this instance in each subsampled
dataset.
- *
- * TODO: This does not currently support (Double) weighted instances.
Once MLlib has weighted
- * dataset support, update. (We store subsampleWeights as Double
for this future extension.)
+ * @param subsampleCounts Number of samples of this instance in each
subsampled dataset.
+ * @param sampleWeight The weight of this instance.
*/
-private[spark] class BaggedPoint[Datum](val datum: Datum, val
subsampleWeights: Array[Double])
- extends Serializable
+private[spark] class BaggedPoint[Datum](
+ val datum: Datum,
+ val subsampleCounts: Array[Int],
+ val sampleWeight: Double) extends Serializable {
+
+ /**
+ * Subsample counts weighted by the sample weight.
+ */
+ def weightedCounts: Array[Double] = subsampleCounts.map(_ * sampleWeight)
--- End diff --
Should this be a `val`?
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