Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/19715#discussion_r154571718 --- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala --- @@ -105,9 +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 also map multiple columns at once. Whether it goes to map a column or - * multiple columns, it depends on which parameter of `inputCol` and `inputCols` is set. When both - * are set, a log warning will be printed and by default it chooses `inputCol`. + * `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 --- End diff -- "bucketsfor" -> "buckets for" and remove the leading space from " number of buckets ..." on next line
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