code: def test_init_stacking_classifier():
      """Test init method of StackingClassifier class."""
      with pytest.raises(ValueError):
          stacking_classifier = StackingClassifier(
              base_estimators=dict()
          )
      with pytest.raises(ValueError):
          stacking_classifier = StackingClassifier(n_folds=dict())
      with pytest.raises(ValueError):
          stacking_classifier = StackingClassifier(copy="True")
      with pytest.raises(ValueError):
          stacking_classifier = StackingClassifier(drop_first="True")
      with pytest.raises(ValueError):
          stacking_classifier = StackingClassifier(random_state="1")
      with pytest.raises(ValueError):
          stacking_classifier = StackingClassifier(verbose="True")
      stacking_classifier = StackingClassifier()
      assert len(stacking_classifier.base_estimators) == 3
      assert isinstance(
          stacking_classifier.level_estimator,
          type(LogisticRegression()),
      )
      assert stacking_classifier.n_folds == 5
      assert not stacking_classifier.copy
      assert stacking_classifier.drop_first
      assert stacking_classifier.random_state == 1
      assert stacking_classifier.verbose
      assert not stacking_classifier._StackingClassifier__fitOK
      assert not stacking_classifier._StackingClassifier__fittransformOK
  
file_path: MLBox/tests/test_stacking_classifer.py
imports: import pytest
  import pandas
  import numpy
  from sklearn.linear_model import LogisticRegression
  from mlbox.model.classification.stacking_classifier import StackingClassifier
label_desc: Use image node_id 1 for calling a global function with example usage: test_init_stacking_classifier() without return types