Does the column order in scoring dataframes matter to H2O models using mojo format?
My ML Ops team is suggesting that perhaps the reason why I'm getting different scores than they are (even though the scoring process flow in R and the mojo model is supposedly the same) is that perhaps the difference in the order of the columns in the dataframes we are each scoring having an impact. I can't actually verify…