code: def test_predict_drift_estimator():
      """Test predict method of DriftEstimator class."""
      df_train = pd.read_csv("data_for_tests/clean_train.csv")
      df_test = pd.read_csv("data_for_tests/clean_test.csv")
      drift_estimator = DriftEstimator()
      with pytest.raises(ValueError):
          drift_estimator.predict()
      drift_estimator.fit(df_train, df_test)
      results = drift_estimator.predict()
      assert len(results) == 1309
  
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 6 for calling a global function with example usage: test_predict_drift_estimator() without return types