code: def test_oof_pred_mode_no_get_params(self):
      S_train_1 = np.ones(X_train.shape[0]).reshape(-1, 1)
      S_test_1 = np.ones(X_test.shape[0]).reshape(-1, 1)
  
      models = [MinimalEstimator()]
      S_train_2, S_test_2 = stacking(
          models,
          X_train,
          y_train,
          X_test,
          regression=True,
          n_folds=n_folds,
          shuffle=False,
          save_dir=temp_dir,
          mode="oof_pred",
          random_state=0,
          verbose=0,
      )
  
      # Load OOF from file
      # Normally if cleaning is performed there is only one .npy file at given moment
      # But if we have no cleaning there may be more then one file so we take the latest
      file_name = sorted(glob.glob(os.path.join(temp_dir, "*.npy")))[
          -1
      ]  # take the latest file
      S = np.load(file_name, allow_pickle=True)
      S_train_3 = S[0]
      S_test_3 = S[1]
  
      assert_array_equal(S_train_1, S_train_2)
      assert_array_equal(S_test_1, S_test_2)
  
      assert_array_equal(S_train_1, S_train_3)
      assert_array_equal(S_test_1, S_test_3)
  
imports: from __future__ import print_function
  from __future__ import division
  import unittest
  from numpy.testing import assert_array_equal
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises
  from numpy.testing import assert_warns
  import os
  import glob
  import numpy
  from scipy.sparse import csr_matrix
  from scipy.sparse import csc_matrix
  from scipy.sparse import coo_matrix
  from sklearn.model_selection import cross_val_predict
  from sklearn.model_selection import cross_val_score
  from sklearn.model_selection import KFold
  from sklearn.datasets import load_boston
  from sklearn.metrics import mean_absolute_error
  from sklearn.metrics import make_scorer
  from sklearn.linear_model import LinearRegression
  from sklearn.linear_model import Ridge
  from vecstack import stacking
  from vecstack.core import model_action
label_desc: Use image node_id 26 for calling the TestFuncRegression obj's underlying member method code with example usage: obj.test_oof_pred_mode_no_get_params() without return types