Hi, I am trying to write a custom ml.Transformer. It's a very simple row-by-row transformation, but it takes in account multiple columns of the DataFrame (and sometimes, interaction between columns).
I was wondering what the best way to achieve this is. I have used a udf in the Transformer before, but that only allows me to use one column (am I right?). How can I use multiple columns? Thanks, D. -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
