code: def test_oja_minimization(self):
      ojanet = algorithms.Oja(
          minimized_data_size=1,
          step=0.01,
          weight=init.Constant(0.1),
          verbose=False,
      )
  
      ojanet.train(self.data, epochs=100)
      minimized_data = ojanet.predict(self.data)
      np.testing.assert_array_almost_equal(
          minimized_data, self.result, decimal=2
      )
  
      reconstructed = ojanet.reconstruct(minimized_data)
      np.testing.assert_array_almost_equal(
          reconstructed, self.data, decimal=3
      )
  
file_path: neupy/tests/algorithms/associative/test_oja.py
imports: import numpy
  from neupy import algorithms, init
  from neupy.exceptions import NotTrained
  from base import BaseTestCase
  from helpers import vectors_for_testing
label_desc: Use image node_id 2 for calling the OjaTestCase obj's underlying member method code with example usage: obj.test_oja_minimization() without return types