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: Instantiates a ClassyMeter using a configuration.
  
  Args:
      config: A configuration for a ClassyMeter.
  
  Returns:
      A ClassyMeter instance.
docstr_tok: ["Instantiates","a","ClassyMeter","using","a","configuration",".","Args",":","config",":","A","configuration","for","a","ClassyMeter",".","Returns",":","A","ClassyMeter","instance","."]
code: def from_config(cls, config: Dict[str, Any]) -> "ClassyMeter":
      """Instantiates a ClassyMeter using a configuration.
  
      Args:
          config: A configuration for a ClassyMeter.
  
      Returns:
          A ClassyMeter instance.
      """
      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 2 for calling the ClassyMeter obj's underlying member method code with example usage: obj.from_config(cls, config) without return types