class_docstr: Extends the MetricCollection class for use in the Anomalib pipeline.
docstr: Update the threshold value for all metrics that have the threshold attribute.
docstr_tok: ["Update","the","threshold","value","for","all","metrics","that","have","the","threshold","attribute","."]
code: def set_threshold(self, threshold_value) -> None:
      """Update the threshold value for all metrics that have the threshold attribute."""
      self._threshold = threshold_value
      for metric in self.values():
          if hasattr(metric, "threshold"):
              metric.threshold = threshold_value
  
file_path: anomalib/src/anomalib/utils/metrics/collection.py
imports: from torchmetrics import MetricCollection
label_desc: Use image node_id 2 for calling the AnomalibMetricCollection obj's underlying member method code with example usage: obj.set_threshold(threshold_value) without return types