code: def test_set_params_Clf_feature_selector():
      """Test set_params method of Clf_feature_selector class."""
      feature_selector = Clf_feature_selector()
      feature_selector.set_params(strategy="variance")
      assert feature_selector.strategy == "variance"
      feature_selector.set_params(threshold=0.2)
      assert feature_selector.threshold == 0.2
      with pytest.warns(UserWarning) as record:
          feature_selector.set_params(wrong_strategy="wrong_strategy")
      assert len(record) == 1
  
file_path: MLBox/tests/test_classification_feature_selector.py
imports: import pytest
  import pandas
  from mlbox.model.classification.feature_selector import Clf_feature_selector
label_desc: Use image node_id 3 for calling a global function with example usage: test_set_params_Clf_feature_selector() without return types