gistfile1.py

#dataX - variables
#datay - labels

rows = dataX.shape[0]

out_of_fold_predictions = zeros(rows) # this is our out of fold prediction vector

for tr, te in cross_validation(10):
    model = fit(dataX[tr,], datay[tr])
    out_of_fold_predictions[te] = model.predict(data[te,])