code: def test_regression_logit_transform():
      try:
          test_helper(
              "smalldata/prostate/prostate.csv",
              "smalldata/prostate/prostate.csv",
              "AGE",
              False,
              False,
              "Logit",
          )
          assert (
              False
          ), "Should have failed since metalearner transform is not supported for regression"
      except (OSError, EnvironmentError) as e:
          if (
              "Metalearner transform is supported only for classification"
              not in str(e)
          ):
              assert (
                  False
              ), "Should have failed with metalearner transform  in the error message"
      try:
          test_helper(
              "smalldata/prostate/prostate.csv",
              "smalldata/prostate/prostate.csv",
              "AGE",
              False,
              True,
              "Logit",
          )
          assert (
              False
          ), "Should have failed since metalearner transform is not supported for regression"
      except (OSError, EnvironmentError) as e:
          if (
              "Metalearner transform is supported only for classification"
              not in str(e)
          ):
              assert (
                  False
              ), "Should have failed with metalearner transform in the error message"
  
file_path: h2o-3/h2o-py/tests/testdir_algos/stackedensemble/pyunit_stackedensemble_mojo.py
imports: import h2o
  import sys
  from h2o.estimators.random_forest import H2ORandomForestEstimator
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
  from h2o.estimators.stackedensemble import H2OStackedEnsembleEstimator
  from tests import pyunit_utils
label_desc: Use image node_id 7 for calling a global function with example usage: test_regression_logit_transform() without return types