code: def test_init_drift_estimator():
      """Test init method of DriftEstimator class."""
      drift_estimator = DriftEstimator()
      assert drift_estimator.n_folds == 2
      assert drift_estimator.stratify
      assert drift_estimator.random_state == 1
      assert not drift_estimator._DriftEstimator__cv
      assert not drift_estimator._DriftEstimator__pred
      assert not drift_estimator._DriftEstimator__target
      assert not drift_estimator._DriftEstimator__fitOK
  
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 1 for calling a global function with example usage: test_init_drift_estimator() without return types