Time Series Cross Validation

I am building a model with data that is ordered by date. Cross validation with time series data is a bit tricky as you don’t want to introduce leakage and other strange effects by predicting past events with future ones etc. I want to use cross validation but I don’t think the X-partitioner can handle time series cross validation. I want to do something like this but not sure what the most efficient way would be in Knime:

Let me know if you have any ideas on how to do this, I am open to other time series friendly methods too , I would like to avoid creating some kludgy manual looping workflow if possible but will do so if necessary.