Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/12819#discussion_r78325579
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/NaiveBayes.scala ---
@@ -98,7 +99,17 @@ class NaiveBayes @Since("1.5.0") (
*/
@Since("1.5.0")
def setModelType(value: String): this.type = set(modelType, value)
- setDefault(modelType -> OldNaiveBayes.Multinomial)
+ setDefault(modelType -> NaiveBayes.Multinomial)
+
+ /**
+ * Whether to over-/under-sample training instances according to the
given weights in weightCol.
+ * If empty, all instances are treated equally (weight 1.0).
+ * Default is empty, so all instances have weight one.
+ * @group setParam
+ */
+ @Since("2.1.0")
+ def setWeightCol(value: String): this.type = set(weightCol, value)
+ setDefault(weightCol -> "")
--- End diff --
It's not necessary to set default for ```weightCol```. You can refer other
place where used ```weightCol```.
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