The SAS website ( at https://go.documentation.sas.com/?cdcId=vdmmlcdc&cdcVersion=8.3&docsetId=vdmmlref&docsetTarget=n0gn2o41lgv4exn17lngd558jcso.htm&locale=en ) has plenty of documentation on building a model using python or R and mentions repeatedly that you can move the open source node to the "Supervised learning" category.  It pretty much totally lacks any documentation on how to use the node otherwise. Is it not possible to say, preprocess data with python? If I want a python node to simply transform or remove certain rows of my data, how do I accomplish this? The output variables/csv files mentioned for model training specify that the number of input and output rows must be the same.  No other avenue of output is mentioned in the documentation. currently, I have some test data in a test pipeline. I have a single line of code that changes all the values in the input dataframe to "1". The output of the open source node is just the input data, unchanged. I've logged the input dataframe to the console to verify the change ocurred. the output dataframe of the node is the original, unchanged, input. How do I transform and output data using the open source node? ... View more