Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/19715#discussion_r153772861
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala ---
@@ -129,34 +152,119 @@ final class QuantileDiscretizer @Since("1.6.0")
(@Since("1.6.0") override val ui
@Since("2.1.0")
def setHandleInvalid(value: String): this.type = set(handleInvalid,
value)
+ /** @group setParam */
+ @Since("2.3.0")
+ def setNumBucketsArray(value: Array[Int]): this.type =
set(numBucketsArray, value)
+
+ /** @group setParam */
+ @Since("2.3.0")
+ def setInputCols(value: Array[String]): this.type = set(inputCols, value)
+
+ /** @group setParam */
+ @Since("2.3.0")
+ def setOutputCols(value: Array[String]): this.type = set(outputCols,
value)
+
+ private[feature] def isQuantileDiscretizeMultipleColumns(): Boolean = {
+ if (isSet(inputCols) && isSet(inputCol)) {
+ logWarning("Both `inputCol` and `inputCols` are set, we ignore
`inputCols` and this " +
+ "`QuantileDiscretize` only map one column specified by `inputCol`")
--- End diff --
'only map' -> 'will only map'
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