[GitHub] spark pull request #16009: [SPARK-18318][ML] ML, Graph 2.1 QA: API: New Scal...

[sethah <gi...@git.apache.org>]

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

    https://github.com/apache/spark/pull/16009#discussion_r90577450
  
    --- Diff: docs/ml-features.md ---
    @@ -1188,7 +1188,9 @@ categorical features. The number of bins is set by the `numBuckets` parameter. I
     that the number of buckets used will be smaller than this value, for example, if there are too few
     distinct values of the input to create enough distinct quantiles.
     
    -NaN values: Note also that QuantileDiscretizer
    +NaN values:
    +NaN values will be removed from the column during `QuantileDiscretizer` fitting. This will produce
    +a `Bucketizer` model for making predictions. During the transformation, `Bucketizer`
    --- End diff --
    
    Thanks for clarifying that!


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

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