Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/17169#discussion_r104385944
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
---
@@ -78,16 +78,19 @@ final class Bucketizer @Since("1.4.0") (@Since("1.4.0")
override val uid: String
def setOutputCol(value: String): this.type = set(outputCol, value)
/**
- * Param for how to handle invalid entries. Options are 'skip' (filter
out rows with
- * invalid values), 'error' (throw an error), or 'keep' (keep invalid
values in a special
- * additional bucket).
+ * Param for how to handle invalid entries containing either NaN or null
values.
--- End diff --
This is actually not true currently - `null` is not handled as an invalid
value - see https://issues.apache.org/jira/browse/SPARK-19781
---
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 [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]