def default_predictor_scoring_fun(cls):
    """Return scores of how important a feature is to the prediction

    Most predictors score output coefficients in the variable
    cls.feature_importances_ and others may use another name for scores, so
    this function bridges the gap

    Parameters
    ----------
    cls : sklearn predictor
        A scikit-learn prediction class, such as ExtraTreesClassifier or
        ExtraTreesRegressor

    Returns
    -------
    scores : pandas.Series
        A (n_features,) size series of how important each feature was to the
        classification (bigger is better)
    """
    return cls.feature_importances_