Github user manishamde commented on a diff in the pull request:
https://github.com/apache/spark/pull/886#discussion_r13982568
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -45,7 +46,7 @@ class DecisionTree (private val strategy: Strategy)
extends Serializable with Lo
* @param input RDD of
[[org.apache.spark.mllib.regression.LabeledPoint]] used as training data
* @return a DecisionTreeModel that can be used for prediction
*/
- def train(input: RDD[LabeledPoint]): DecisionTreeModel = {
+ def train(input: RDD[WeightedLabeledPoint]): DecisionTreeModel = {
--- End diff --
Agree. I started with implicit conversions and forget the reason why I
switched. I will give it a try again. If it works, great. If not, I will
remember why it doesn't work well. :-)
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