docstr: Updates the metric's state using the passed batch output.
  This is called once for each batch.
docstr_tok: ["Updates","the","metric","'s","state","using","the","passed","batch","output",".","This","is","called","once","for","each","batch","."]
code: def update(self, *args):
      """
      Updates the metric's state using the passed batch output.
      This is called once for each batch.
      """
      pass
  
file_path: DeepKE/src/deepke/relation_extraction/standard/tools/metrics.py
imports: import torch
  import numpy
  from abc import ABCMeta, abstractmethod
  from sklearn.metrics import precision_recall_fscore_support
label_desc: Use image node_id 3 for calling the Metric obj's underlying member method code with example usage: obj.update() without return types