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","."]
docstr: Reset the private values of the class.
docstr_tok: ["Reset","the","private","values","of","the","class","."]
code: def reset(self):
      """Reset the private values of the class."""
      raise NotImplementedError
  
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 2 for calling the Metrics obj's underlying member method code with example usage: obj.reset() without return types