code: def test_logistic_regression_not_fitted():
      """[Utils] LogisticRegression: check raises if not fitted."""
      np.testing.assert_raises(
          NotFittedError, LogisticRegression().predict, X
      )
  
imports: import numpy
  import os
  from mlens.ensemble.base import Layer, Sequential
  from mlens.utils.dummy import OLS, LogisticRegression, Scale
  from mlens.testing.dummy import ESTIMATORS, PREPROCESSING, ESTIMATORS_PROBA, ECM, ECM_PROBA, InitMixin
  from mlens.testing.dummy import Data, EstimatorContainer
  from mlens.utils import assert_correct_format
  from mlens.utils.formatting import _assert_format, _format_instances
  from mlens.utils.exceptions import NotFittedError
  from mlens.externals.sklearn.base import BaseEstimator
label_desc: Use image node_id 6 for calling a global function with example usage: test_logistic_regression_not_fitted() without return types