Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/11536#discussion_r56709463
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/CountVectorizer.scala ---
@@ -207,6 +207,27 @@ class CountVectorizerModel(override val uid: String,
val vocabulary: Array[Strin
/** @group setParam */
def setMinTF(value: Double): this.type = set(minTF, value)
+ /**
+ * Binary toggle to control the output vector values.
+ * If True, all non zero counts are set to 1. This is useful for
discrete probabilistic
--- End diff --
Could you clarify that this ("all non-zero counts") is after the minTF
filter has been applied?
(Also, as long as you're at it, could you please correct the indentation?)
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