class_docstr: The standalone mean metric.
  
  This utility metric is a general purpose metric that can be used to keep
  track of the mean of a sequence of values.
class_docstr_tok: ["The","standalone","mean","metric",".","This","utility","metric","is","a","general","purpose","metric","that","can","be","used","to","keep","track","of","the","mean","of","a","sequence","of","values","."]
docstr: Retrieves the mean.
  
  Calling this method will not change the internal state of the metric.
  
  :return: The mean, as a float.
docstr_tok: ["Retrieves","the","mean",".","Calling","this","method","will","not","change","the","internal","state","of","the","metric",".",":","return",":","The","mean",",","as","a","float","."]
code: def result(self) -> float:
      """
      Retrieves the mean.
  
      Calling this method will not change the internal state of the metric.
  
      :return: The mean, as a float.
      """
      if self.weight == 0.0:
          return 0.0
      return self.summed / self.weight
  
file_path: avalanche/avalanche/evaluation/metrics/mean.py
imports: from typing import SupportsFloat
  from avalanche.evaluation import Metric
label_desc: Use image node_id 3 for calling the Mean obj's underlying member method code with example usage: obj.result() and returns: unknown, int