code: def test_predict_different_inputs(self):
      ojanet = algorithms.Oja(
          minimized_data_size=1, verbose=False, step=0.01
      )
  
      data = np.array([[1, 2, 3]]).T
      target = np.array([[1, 2, 3]]).T
  
      ojanet.train(data, epochs=100)
      self.assertInvalidVectorPred(
          ojanet, data.ravel(), target, decimal=2
      )
  
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 5 for calling the OjaTestCase obj's underlying member method code with example usage: obj.test_predict_different_inputs() without return types