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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