docstr: Method helps test network prediction procedure using different
  types of row or column vector.
docstr_tok: ["Method","helps","test","network","prediction","procedure","using","different","types","of","row","or","column","vector","."]
code: def assertInvalidVectorPred(
      self, network, input_vector, target, decimal=5, is_feature1d=True
  ):
      """
      Method helps test network prediction procedure using different
      types of row or column vector.
      """
      test_vectors = vectors_for_testing(input_vector, is_feature1d)
  
      for i, test_vector in enumerate(test_vectors, start=1):
          predicted_vector = network.predict(test_vector)
          np.testing.assert_array_almost_equal(
              predicted_vector, target, decimal=decimal
          )
  
imports: import pickle
  import inspect
  import logging
  import unittest
  import numpy
  import tensorflow
  from neupy import utils, layers, init
  from neupy.utils import tensorflow_eval, tensorflow_session, shape_to_tuple
  from neupy.layers.base import format_name_if_specified_as_pattern
  from helpers import vectors_for_testing
label_desc: Use image node_id 6 for calling the BaseTestCase obj's underlying member method code with example usage: obj.assertInvalidVectorPred(network, input_vector, target, decimal, is_feature1d) without return types