class_docstr: Base class for wrapper metrics for classification tasks.
class_docstr_tok: ["Base","class","for","wrapper","metrics","for","classification","tasks","."]
docstr: Update metric state.
docstr_tok: ["Update","metric","state","."]
code: def update(self, *args: Any, **kwargs: Any) -> None:
      """Update metric state."""
      raise NotImplementedError(
          f"{self.__class__.__name__} metric does not have a global `update` method. Use the task specific metric."
      )
  
imports: from typing import Any
  from torchmetrics.metric import Metric
label_desc: Use image node_id 1 for calling the _ClassificationTaskWrapper obj's underlying member method code with example usage: obj.update() without return types