tgravescs commented on issue #25983: [SPARK-29327][MLLIB]Support specifying features via multiple columns URL: https://github.com/apache/spark/pull/25983#issuecomment-545498164 right it can be done today, but this makes it simpler to use and possibly more performant. I think it especially helps the cases where your data is already in columnar format. VectorAssembler has to make a pass over the data and merge multiple columns. Many ML algorithms prefer columnar data and this allows the algorithm to determine what it wants to do with the columns. if it doesn't need to merge them, that is just extra processing. If it already knows the format it can take advantage of that. In this case you actually don't have to change the implementations until you want to, which is what this PR does. Its just introducing the api, xgboost is going to use it, then other algo's can support as they want to.
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