class_docstr: metric is an abstract class.
  Args:
      average (bool): a way to output one single value for metrics
                      that are calculated in several trials.
class_docstr_tok: ["metric","is","an","abstract","class",".","Args",":","average","(","bool",")",":","a","way","to","output","one","single","value","for","metrics","that","are","calculated","in","several","trials","."]
code: def avg(self):
      warnings.warn(
          "`avg` is deprecated, please use `value`.", DeprecationWarning
      )
      return self.value
  
imports: import dataclasses
  import math
  import warnings
  from collections import defaultdict
  import numpy
  import torch
  from sklearn.metrics import confusion_matrix, auc
  from baal.utils.array_utils import to_prob
label_desc: Use image node_id 5 for calling the Metrics obj's underlying member method code with example usage: obj.avg() and returns: self