Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/3626#discussion_r21402613
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala ---
@@ -65,6 +65,24 @@ class NaiveBayesModel private[mllib] (
override def predict(testData: Vector): Double = {
labels(brzArgmax(brzPi + brzTheta * testData.toBreeze))
}
+
+ def classProbabilities(testData: RDD[Vector]):
+ RDD[scala.collection.mutable.Map[Double, Double]] = {
--- End diff --
I'd probably import `scala.collection.mutable` and write `mutable.Map`. Not
sure what others' preference is.
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