Github user huaxingao commented on a diff in the pull request: https://github.com/apache/spark/pull/19715#discussion_r156442207 --- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala --- @@ -107,11 +107,11 @@ private[feature] trait QuantileDiscretizerBase extends Params * possible 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. * Since 2.3.0, - * `QuantileDiscretizer ` can map multiple columns at once by setting the `inputCols` parameter. - * Note that when both the `inputCol` and `inputCols` parameters are set, a log warning will be - * printed and only `inputCol` will take effect, while `inputCols` will be ignored. To specify - * the number of bucketsfor each column , the `numBucketsArray ` parameter can be set, or if the - * number of buckets should be the same across columns, `numBuckets` can be set as a convenience. + * `QuantileDiscretizer` can map multiple columns at once by setting the `inputCols` parameter. + * Note that only one of `inputCol` and `inputCols` parameters can be set. If both of the + * `inputCol` and `inputCols` parameters are set, an Exception will be thrown. To specify the --- End diff -- @MLnick Thank you very much for your comments. I will change these.
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