Github user thunterdb commented on a diff in the pull request:
https://github.com/apache/spark/pull/15826#discussion_r87256589
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/NaiveBayes.scala ---
@@ -226,13 +206,33 @@ class NaiveBayes @Since("1.5.0") (
@Since("1.6.0")
object NaiveBayes extends DefaultParamsReadable[NaiveBayes] {
/** String name for multinomial model type. */
- private[spark] val Multinomial: String = "multinomial"
+ private[classification] val Multinomial: String = "multinomial"
/** String name for Bernoulli model type. */
- private[spark] val Bernoulli: String = "bernoulli"
+ private[classification] val Bernoulli: String = "bernoulli"
/* Set of modelTypes that NaiveBayes supports */
- private[spark] val supportedModelTypes = Set(Multinomial, Bernoulli)
+ private[classification] val supportedModelTypes = Set(Multinomial,
Bernoulli)
+
+ private[NaiveBayes] val requireNonnegativeValues: Vector => Unit = (v:
Vector) => {
--- End diff --
@yanboliang indeed it makes a difference when defining methods inside
another method. In the current case, you brought the function as a value of the
companion object. You can safely turn it into a method
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