You are 100% on the money, thanks! I actually figured that out before you sent me the solution, but all credit to you!
Here is the change I made
You and the KNIME team are really great!
I would therefore like to take the opportunity to ask you another question regarding the RNNs in general.
(I have looked at and partially worked through those examples you are referring to, but my example is purely numeric and not NLP.)
My question is this:
I am doing Sequence to Sequence mapping (many to many as you call it). In my particular case there are always 18 entries in the sequence.
How is the accuracy of the output sequence determined? It is very likely that some numbers in the output vector is more random than others and therefore it would be nice to know both many to one and many to many probability.
To do that, would I need to build another many to one RNN and how would I compare the two RNNs sensible?
I am not sure my question is clear. Does the question makes sense?