Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/19715#discussion_r153772930 --- 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 -- `QuantileDiscretize` -> `QuantileDiscretizer`
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