gs: Additional keyword arguments, see :ref:`Metric kwargs` for more info.

    Example (preds is int tensor):
        >>> from torch import tensor
        >>> from torchmetrics.functional.classification import binary_cohen_kappa
        >>> target = tensor([1, 1, 0, 0])
        >>> preds = tensor([0, 1, 0, 0])
        >>> binary_cohen_kappa(preds, target)
        tensor(0.5000)

    Example (preds is float tensor):
        >>> from torchmetrics.functional.classification import binary_cohen_kappa
        >>> target = tensor([1, 1, 0, 0])
        >>> preds = tensor([0.35, 0.85, 0.48, 0.01])
        >>> binary_cohen_kappa(preds, target)
        tensor(0.5000)

    )