class_docstr: Base class for wrapper metrics for classification tasks.
class_docstr_tok: ["Base","class","for","wrapper","metrics","for","classification","tasks","."]
docstr: Compute metric.
docstr_tok: ["Compute","metric","."]
code: def compute(self) -> None:
      """Compute metric."""
      raise NotImplementedError(
          f"{self.__class__.__name__} metric does not have a global `compute` method. Use the task specific metric."
      )
  
imports: from typing import Any
  from torchmetrics.metric import Metric
label_desc: Use image node_id 2 for calling the _ClassificationTaskWrapper obj's underlying member method code with example usage: obj.compute() without return types