Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/17819#discussion_r143926137
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
---
@@ -24,20 +24,23 @@ import org.apache.spark.annotation.Since
import org.apache.spark.ml.Model
import org.apache.spark.ml.attribute.NominalAttribute
import org.apache.spark.ml.param._
-import org.apache.spark.ml.param.shared.{HasHandleInvalid, HasInputCol,
HasOutputCol}
+import org.apache.spark.ml.param.shared.{HasHandleInvalid, HasInputCol,
HasInputCols, HasOutputCol}
import org.apache.spark.ml.util._
import org.apache.spark.sql._
import org.apache.spark.sql.expressions.UserDefinedFunction
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types.{DoubleType, StructField, StructType}
/**
- * `Bucketizer` maps a column of continuous features to a column of
feature buckets.
+ * `Bucketizer` maps a column of continuous features to a column of
feature buckets. Since 2.3.0,
+ * `Bucketizer` can also map multiple columns at once. Whether it goes to
map a column or multiple
--- End diff --
Ok. Looks better.
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