class_docstr: Container class to run and log the change of distance ratios
  between intra-class distances and inter-class distances.
class_docstr_tok: ["Container","class","to","run","and","log","the","change","of","distance","ratios","between","intra-class","distances","and","inter-class","distances","."]
docstr: Update progression plot.
  
  Args:
      None.
  Returns:
      Nothing!
docstr_tok: ["Update","progression","plot",".","Args",":","None",".","Returns",":","Nothing","!"]
code: def update_plot(self):
      """
      Update progression plot.
  
      Args:
          None.
      Returns:
          Nothing!
      """
      plt.style.use("ggplot")
      f, ax = plt.subplots(1)
      ax.set_title("Mean Intra- over Interclassdistances")
      ax.plot(self.epochs, self.mean_class_dists, label="Class")
      f.legend()
      f.set_size_inches(15, 8)
      f.savefig(
          self.save_path + "/distance_measures_{}.svg".format(self.name)
      )
  
imports: import warnings
  import csv
  import pickle
  import time
  import auxiliaries
  import matplotlib.pyplot
  import numpy
  import torch
  import torch.multiprocessing
  import torch.nn
  from scipy.spatial import distance
  from sklearn.preprocessing import normalize
  from tqdm import tqdm
label_desc: Use image node_id 5 for calling the DistanceMeasure obj's underlying member method code with example usage: obj.update_plot() without return types