Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/19715#discussion_r153775090
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala ---
@@ -86,6 +104,10 @@ private[feature] trait QuantileDiscretizerBase extends
Params
* categorical features. The number of bins can be set using the
`numBuckets` parameter. It is
* 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,
--- End diff --
Let's match the Bucketizer comment. So something like:
```
...
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 buckets
for 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.
```
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