scikit-learn/scikit-learn — pull request #529 by eickenberg (2012-01-05 13:31:51+00:00)
Title: Doc fix in cross_validation.py

If you pass your own score_func to cross_val_score, then this function takes one argument (X_test) in the non supervised setting and two arguments (y_true and y_pred, which is estimator.predict(X_test)) in the supervised setting.
As opposed to the three arguments (estimator, X_test, y_test) that were mentioned before.

Hope I got this right :)