Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/6761#discussion_r32417054
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala ---
@@ -113,6 +106,55 @@ class NaiveBayesModel private[mllib] (
}
}
+ def predictProbabilities(testData: RDD[Vector]): RDD[Map[Double,
Double]] = {
+ val bcModel = testData.context.broadcast(this)
+ testData.mapPartitions { iter =>
+ val model = bcModel.value
+ iter.map(model.predictProbabilities)
+ }
+ }
+
+ def predictProbabilities(testData: Vector): Map[Double, Double] = {
+ modelType match {
+ case Multinomial =>
+ val prob = multinomialCalculation(testData)
+ posteriorProbabilities(prob)
+ case Bernoulli =>
+ val prob = bernoulliCalculation(testData)
+ posteriorProbabilities(prob)
+ case _ =>
--- End diff --
Will this generate a compiler warning without this case or does it already
prove there aren't other possibilities? in which case I think you can let it
produce a match error if it ever somehow hits that case. `UnknownError` seems
to strong as it's at best an `IllegalStateException` or something, not a VM
error.
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