from torch import randn, randint
from torchmetrics.classification import MulticlassCohenKappa
metric = MulticlassCohenKappa(num_classes=3)
metric.update(randn(20,3).softmax(dim=-1), randint(3, (20,)))
fig_, ax_ = metric.plot()