Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/14663
Ah right, good point. Actually I realised that the doc in
`ml.feature.StandardScaler` needs updating for `withMean`:
```
/**
* Whether to center the data with mean before scaling.
* It will build a dense output, so this does not work on sparse input
* and will raise an exception.
* Default: false
* @group param
*/
val withMean: BooleanParam = new BooleanParam(this, "withMean",
"Whether to center data with mean")
```
... as good a place as any to add a warning about using with sparse input
(this can then show up in `explainParam` doc as well as ScalaDoc. Python side
will probably need it too.
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