f3a2c1c56b56f28f88963db869377036f01af831,nilearn/decoding/searchlight.py,,_group_iter_search_light,#,118

Before Change

        kwargs = dict()
        if LooseVersion(sklearn.__version__) >= LooseVersion("0.18"):
            kwargs["groups"] = groups
        elif scoring is not None:
            warnings.warn("Scikit-learn version is too old. "
                          "scoring argument ignored", stacklevel=2)
        par_scores[i] = np.mean(cross_val_score(estimator, X[:, row],
                                                y, cv=cv, n_jobs=1,
                                                **kwargs))
        if verbose > 0:

After Change

    t0 = time.time()
    for i, row in enumerate(list_rows):
        kwargs = dict()
        kwargs["scoring"] = scoring
        kwargs["groups"] = groups
        par_scores[i] = np.mean(cross_val_score(estimator, X[:, row],
                                                y, cv=cv, n_jobs=1,

Instances