        ignore_index:
            Specifies a target value that is ignored and does not contribute to the metric calculation
        validate_args: bool indicating if input arguments and tensors should be validated for correctness.
            Set to ``False`` for faster computations.

    Example:
        >>> from torchmetrics.functional.classification import multilabel_ranking_loss
        >>> _ = torch.manual_seed(42)
        >>> preds = torch.rand(10, 5)
        >>> target = torch.randint(2, (10, 5))
        >>> multilabel_ranking_loss(preds, target, num_labels=5)
        tensor(0.4167)

    References:
        [1] Tsoumakas, G., Katakis, I., & Vlahavas, I. (2010). Mining multi-label data. In Data mining and
        knowledge discovery handbook (pp. 667-685). Springer US.

    r,