code: def test_model_predictions_predict_proba(self):
      X_train, X_test, y_train, y_test, _, _ = create_cancer_data(
          return_dataframe=True
      )
  
      X_train["target"] = y_train
      X_test["target"] = y_test
  
      model = MagicMock()
      model.predict.return_value = [0]
      model.predict_proba.side_effect = Exception()
  
      with pytest.raises(UserConfigValidationException) as ucve:
          ModelAnalysis(
              model=model,
              train=X_train,
              test=X_test,
              target_column="target",
              task_type="classification",
          )
  
      assert (
          "The passed model cannot be used for getting predictions "
          + "via predict_proba"
          in str(ucve.value)
      )
  
imports: import logging
  from unittest.mock import MagicMock
  import pandas
  import pytest
  from tests.common_utils import create_iris_data
  from rai_test_utils.datasets.tabular import create_binary_classification_dataset, create_cancer_data, create_housing_data
  from rai_test_utils.models.lightgbm import create_lightgbm_classifier
  from rai_test_utils.models.sklearn import create_sklearn_random_forest_regressor
  from raiutils.exceptions import UserConfigValidationException
  from responsibleai.modelanalysis.model_analysis import ModelAnalysis
label_desc: Use image node_id 8 for calling the TestModelAnalysisValidations obj's underlying member method code with example usage: obj.test_model_predictions_predict_proba() without return types