Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/15148
Yes ideally it's nice to be able to support multiple input types. Though I
lean towards Vector as the most appropriate "unified" interface. Somewhere
there is a TODO about supporting e.g. `Array[Double]` (actually let's say it
could be `Array[Numeric]`) and automatically converting / casting when
VectorUDT is expected. That seems a neater solution overall if possible. It
makes the estimator type logic less complex.
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