Github user acidghost commented on a diff in the pull request:
https://github.com/apache/spark/pull/6761#discussion_r32444358
--- 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 _ =>
+ // This should never happen.
+ throw new UnknownError(s"Invalid modelType: $modelType.")
+ }
+ }
+
+ protected[classification] def multinomialCalculation(testData: Vector):
DenseVector = {
--- End diff --
I thought that the class could be extended but maybe it's not a common use
case.. I'll change them to `private`.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
