Hi, Is there any chance that we can send entire multiple columns to an udf and generate a new column for Spark ML. I see similar approach as VectorAssembler but not able to use few classes /traitslike HasInputCols, HasOutputCol, DefaultParamsWritable since they are private.
Any leads/examples is appreciated in this regard.. Requirement: *Input*: Multiple columns of a Dataframe *Output*: Single new modified column
