compute` and plot that result.
            ax: An matplotlib axis object. If provided will add plot to that axis

        Returns:
            Figure and Axes object

        Raises:
            ModuleNotFoundError:
                If `matplotlib` is not installed

        .. plot::
            :scale: 75

            >>> # Example plotting a single value
            >>> import torch
            >>> from torchmetrics.nominal import FleissKappa
            >>> metric = FleissKappa(mode="probs")
            >>> metric.update(torch.randn(100, 5, 10).softmax(dim=1))
            >>> fig_, ax_ = metric.plot()

        .. plot::
            :scale: 75

            >>> # Example plotting multiple values
            >>> import torch
            >>> from torchmetrics.nominal import FleissKappa
            >>> metric = FleissKappa(mode="probs")
            >>> values = [ ]
            >>> for _ in range(10):
            ...     values.append(metric(torch.randn(100, 5, 10).softmax(dim=1)))
            >>> fig_, ax_ = metric.plot(values)

        )