[pymvpa] searchlight with separate training and testing data

[Brian Anderson]

Hi,


I'm looking to run a searchlight using the leave-one-run-out approach, but with separate trials to be used for training and testing. The experiment involves a 2x2 design, and for the one factor I'd like to split the data such that I train on one level of that factor (using N-1 runs) and test on the other (using the run left out). Which level serves as training data and which serves as testing data would be fixed across all folds of the classification (i.e., the same level would always be used for training and the other always for testing). Is there an option that will allow me to perform the searchlight in this way?

Many thanks in advance for any direction you can provide!


Brian
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