Hi all, I'm looking to perform a searchlight analysis with normal leave-one-chunk-out cross validation, but to train the classifier on one set of labels and test on another (in other words, train on 'targets', but have the error be calculated by comparing predicted values for the held out samples to the values of a different attribute of the samples in the test set, rather than the true target values).
However, I don't see an obvious way to construct a CrossValidation object that accomplishes this. Is there a straightforward way to do this that I've missed so far or has anyone done something similar in the past? Thanks very much for any guidance!! Dillon Plunkett Greene Lab Harvard University dillonplunkett.com
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