omatically call `metric.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.wrappers import MetricTracker
            >>> from torchmetrics.classification import BinaryAccuracy
            >>> tracker = MetricTracker(BinaryAccuracy())
            >>> for epoch in range(5):
            ...     tracker.increment()
            ...     for batch_idx in range(5):
            ...         tracker.update(torch.randint(2, (10,)), torch.randint(2, (10,)))
            >>> fig_, ax_ = tracker.plot()  # plot all epochs

        N)