code: def test_set_params_drift_estimator():
      """Test set_params method of DriftEstimator class."""
      drift_estimator = DriftEstimator()
      dict = {
          "estimator": drift_estimator.estimator,
          "n_folds": 3,
          "stratify": False,
          "random_state": 2,
      }
      drift_estimator.set_params(**dict)
      assert drift_estimator.get_params() == dict
  
file_path: MLBox/tests/test_drift_estimator.py
imports: import pytest
  import pandas
  from mlbox.preprocessing.drift.drift_estimator import DriftEstimator
label_desc: Use image node_id 3 for calling a global function with example usage: test_set_params_drift_estimator() without return types