docstr: Method to calculate the entropy in each epoach
docstr_tok: ["Method","to","calculate","the","entropy","in","each","epoach"]
code: def calculate_entropy(self):
      """
      Method to calculate the entropy in each epoach
  
      """
  
      total_density = self.density.sum()
      probability = np.divide(self.density, total_density)
  
      sum_pi = 0
      for pi in probability.flat:
          sum_pi += 0 if pi == 0 else pi * np.log2(pi)
  
      return (-sum_pi) / np.log2(probability.size)
  
file_path: CaseRecommender/caserec/clustering/paco.py
imports: import itertools
  import random
  import numpy
  from scipy.spatial.distance import squareform, pdist
  from sklearn.cluster import KMeans
  from caserec.utils.process_data import ReadFile
label_desc: Use image node_id 6 for calling the PaCo obj's underlying member method code with example usage: obj.calculate_entropy() and returns: unknown