Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16722#discussion_r98807130
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala
---
@@ -126,20 +127,22 @@ class RandomForestClassifier @Since("1.4.0") (
s" numClasses=$numClasses, but thresholds has length
${$(thresholds).length}")
}
- val oldDataset: RDD[LabeledPoint] = extractLabeledPoints(dataset,
numClasses)
+ val instances = dataset.select(col($(labelCol)).cast(DoubleType),
col($(featuresCol))).rdd.map {
+ case Row(label: Double, features: Vector) => Instance(label, 1.0,
features)
--- End diff --
We have to pass in `RDD[Instance]` to `RandomForest.run`. I changed this
back to use `extractLabeledPoints`
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