Hi all, I'm using ML Pipeline to construct a flow of transformation. I'm wondering if it is possible to set multiple dataframes as the input of a transformer? For example I need to join two dataframes together in a transformer, then feed into the estimator for training. If not, is there any plan to support this in the future?
Another question is about non-linear pipeline. Since we can randomly assign input and output column of a pipeline stage, what will happen if I build a problematic DAG (like a circular one)? Is there any mechanism to prevent this from happening? Thanks~ Qingsheng (Patrick) Ren
