class_docstr: !
  @brief Genetic algorithm observer that is used to collect information about clustering process on each iteration.
class_docstr_tok: ["!","@","brief","Genetic","algorithm","observer","that","is","used","to","collect","information","about","clustering","process","on","each","iteration","."]
docstr: !
  @brief (list) Returns fitness function's values on each iteration.
docstr_tok: ["!","@","brief","(","list",")","Returns","fitness","function","'s","values","on","each","iteration","."]
code: def get_mean_fitness_function(self):
      """!
      @brief (list) Returns fitness function's values on each iteration.
  
      """
      return self._mean_ff_result
  
imports: import numpy
  import matplotlib.pyplot
  import matplotlib.animation
  from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.ga_maths import ga_math
label_desc: Use image node_id 8 for calling the ga_observer obj's underlying member method code with example usage: obj.get_mean_fitness_function() and returns: self