Github user thunterdb commented on a diff in the pull request:
https://github.com/apache/spark/pull/12819#discussion_r87025073
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/NaiveBayes.scala ---
@@ -109,10 +118,89 @@ class NaiveBayes @Since("1.5.0") (
s" numClasses=$numClasses, but thresholds has length
${$(thresholds).length}")
}
- val oldDataset: RDD[OldLabeledPoint] =
- extractLabeledPoints(dataset).map(OldLabeledPoint.fromML)
- val oldModel = OldNaiveBayes.train(oldDataset, $(smoothing),
$(modelType))
- NaiveBayesModel.fromOld(oldModel, this)
+ val numFeatures =
dataset.select(col($(featuresCol))).head().getAs[Vector](0).size
+
+ val requireNonnegativeValues: Vector => Unit = (v: Vector) => {
--- End diff --
@zhengruifeng (minor) this method is static and does not depend on the
state of the object. It is preferable to put it in the companion object. Also,
because people do not have a functional programing background, it is better to
define it with `def` rather than a `val`.
---
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]
