code: def test_raises_param_errors():
      with pytest.raises(ValueError):
          SmartCorrelatedSelection(threshold=None)
  
      with pytest.raises(ValueError):
          SmartCorrelatedSelection(missing_values=None)
  
      with pytest.raises(ValueError):
          SmartCorrelatedSelection(selection_method="random")
  
      with pytest.raises(ValueError):
          SmartCorrelatedSelection(
              selection_method="missing_values", missing_values="raise"
          )
  
file_path: feature_engine/tests/test_selection/test_smart_correlation_selection.py
imports: import pandas
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.ensemble import RandomForestClassifier
  from feature_engine.selection import SmartCorrelatedSelection
label_desc: Use image node_id 9 for calling a global function with example usage: test_raises_param_errors() without return types