code: def test_drift_regression_label_raise_on_proba(
      diabetes, diabetes_model
  ):
      # Arrange
      train, test = diabetes
      train = remove_label(train)
      test = remove_label(test)
      check = PredictionDrift(
          categorical_drift_method="PSI", drift_mode="proba"
      )
  
      # Act & Assert
      assert_that(
          calling(check.run).with_args(train, test, diabetes_model),
          raises(
              DeepchecksValueError,
              'probability_drift="proba" is not supported for regression tasks',
          ),
      )
  
imports: import pandas
  from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_length, raises
  from deepchecks.core.errors import DeepchecksValueError, NotEnoughSamplesError
  from deepchecks.tabular import Dataset
  from deepchecks.tabular.checks import PredictionDrift
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 8 for calling a global function with example usage: test_drift_regression_label_raise_on_proba(diabetes, diabetes_model) without return types