Github user hhbyyh commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12200#discussion_r58672875
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/ml/feature/CountVectorizer.scala ---
    @@ -100,6 +103,24 @@ private[feature] trait CountVectorizerParams extends 
Params with HasInputCol wit
     
       /** @group getParam */
       def getMinTF: Double = $(minTF)
    +
    +  /**
    +    * Binary toggle to control the output vector values.
    +    * If True, all nonzero counts (after minTF filter applied) are set to 
1. This is useful for
    +    * discrete probabilistic models that model binary events rather than 
integer counts.
    --- End diff --
    
    IMO, The sentence "This is useful...." can be removed. (sorry to add it in 
the first place).


---
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 infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to