docstr: Resets the metric to to it's initial state.
  This is called at the start of each epoch.
docstr_tok: ["Resets","the","metric","to","to","it","'s","initial","state",".","This","is","called","at","the","start","of","each","epoch","."]
code: def reset(self):
      """
      Resets the metric to to it's initial state.
      This is called at the start of each epoch.
      """
      pass
  
file_path: DeepKE/src/deepke/attribution_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 2 for calling the Metric obj's underlying member method code with example usage: obj.reset() without return types