code: def setUp(self):
      bl1 = RandomForestClassifier(random_state=8)
      bl2 = LogisticRegression()
      bl3 = RandomForestClassifier(max_depth=10, random_state=10)
  
      meta_est = LogisticRegression()
  
      skf = StratifiedKFold(random_state=8).split
  
      self.stacked_ensemble = stacker.XcessivStackedEnsemble(
          [bl1, bl2, bl3],
          ["predict", "predict_proba", "predict_proba"],
          meta_est,
          skf,
      )
  
file_path: xcessiv/xcessiv/tests/test_stacker.py
imports: from __future__ import absolute_import, print_function, division, unicode_literals
  import unittest
  import numpy
  from xcessiv import stacker
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.linear_model import LogisticRegression
  from sklearn.model_selection import StratifiedKFold, train_test_split
  from sklearn.datasets import load_iris
  from sklearn.metrics import accuracy_score
label_desc: Use image node_id 1 for calling the TestStacker obj's underlying member method code with example usage: obj.setUp() without return types