code: def test_compare_lvq_and_lvq21(self):
      dataset = datasets.load_iris()
      data, target = dataset.data, dataset.target
  
      # Prepare the same weights for the fair comparison
      lvq = algorithms.LVQ(n_inputs=4, n_subclasses=3, n_classes=3)
      lvq.train(data, target, epochs=1)
      prepared_lvq_weights = lvq.weight
  
      compare_networks(
          algorithms.LVQ,
          partial(algorithms.LVQ21, epsilon=0.1),
          data=[data, target],
          epochs=10,
          show_comparison_plot=False,
          n_inputs=4,
          n_subclasses=3,
          n_classes=3,
          weight=prepared_lvq_weights,
      )
  
imports: from functools import partial
  import numpy
  from sklearn import datasets
  from neupy import algorithms, init
  from neupy.exceptions import NotTrained
  from base import BaseTestCase
  from helpers import compare_networks
label_desc: Use image node_id 11 for calling the LVQTestCase obj's underlying member method code with example usage: obj.test_compare_lvq_and_lvq21() without return types