class_docstr: Base class to measure various metrics during training and testing phases.
  
  This can include meters like  Accuracy, Precision and Recall, etc.
class_docstr_tok: ["Base","class","to","measure","various","metrics","during","training","and","testing","phases",".","This","can","include","meters","like","Accuracy",",","Precision","and","Recall",",","etc","."]
docstr: Get the state of the ClassyMeter.
  
  The returned state is used for checkpointing.
  
  Returns:
      A state dictionary containing the state of the meter.
docstr_tok: ["Get","the","state","of","the","ClassyMeter",".","The","returned","state","is","used","for","checkpointing",".","Returns",":","A","state","dictionary","containing","the","state","of","the","meter","."]
code: def get_classy_state(self) -> Dict[str, Any]:
      """Get the state of the ClassyMeter.
  
      The returned state is used for checkpointing.
  
      Returns:
          A state dictionary containing the state of the meter.
      """
      raise NotImplementedError
  
file_path: ClassyVision/classy_vision/meters/classy_meter.py
imports: from typing import Any, Dict, Tuple
  import torch
  from classy_vision.generic.util import log_class_usage
label_desc: Use image node_id 9 for calling the ClassyMeter obj's underlying member method code with example usage: obj.get_classy_state() without return types