evaluation.py 文件源码

def uar_score(labels: np.ndarray,
              predictions: np.ndarray):
    """
    Computes the unweighted average recall for the specified true labels and predictions.

    The unweighted average recall is simply the average recall for each class without any weighting.

    Parameters
    ----------
    labels: numpy.ndarray
        A one-dimensional numpy array containing the true labels of instances
    predictions
        A one-dimensional numpy array containing the predicted labels of instances

    Returns
    -------
    float
        The unweighted average recall for the specified true labels and predictions
    """
    return recall_score(labels, predictions, average="macro")