Github user tanwanirahul commented on the pull request:
https://github.com/apache/spark/pull/11219#issuecomment-184815144
@JoshRosen Sure. If someone confirms on this, I will add that.
On if we need it: The pipeline apis work on the dataframes. If we don't
have this interface, we are required to convert dataframes back to RDD and make
it work.
The other question I had was: Current implementation assumes the first
column to be prediction and the second one the label/observation. Is this
reasonable assumption to make? Shouldn't we rather expect the prediction and
label/observation column names to be provided, the way other ml algorithms
expect?
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