Dear TDT experts,
I would like to train the classifier with one data set and then test it in a completely different data set. The data is about a memory experiment. So, I have a set of beta images of an encoding phase (7 runs/sessions) and another one of a retreival phase (7 runs/sessions).
How could I do to train the classifier in some enconding conditions(labels) and then test it the retrieval conditions(labels)?
I tried to joint all the sessions from 1 to 14. So, TDT recognize all my regressors. But, when I choose the labels that I want to train and the ones that I want to test, there is a problem because the design includes all the chose labels for training and testing (if I use make_design_cv). If I use make_design_xclass_cv, then the design looks much more of what i am looking for, but, there is an error because the number of used labels varies across decoding steps. Finally, something similar occure when I manualy modify the design.
Are there some way or type of design which achieves this idea?