srowen commented on issue #25983: [SPARK-29327][MLLIB]Support specifying features via multiple columns URL: https://github.com/apache/spark/pull/25983#issuecomment-545503447 The xgboost implementation can also just do this if desired, take n columns instead of 1 vector-valued one. Is this a real possibility or just theoretical? right now this doesn't take advantage of it anywhere in Spark ML; what would be an example?
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