code: def test_ordinal():
      cars = h2o.import_file(
          pyunit_utils.locate("smalldata/junit/cars.csv")
      )
      cars["cylinders"] = cars["cylinders"].asfactor()
      cars.rename(columns={"year": "year_make"})
      for _ in range(50):
          test_model(cars)
  
imports: from builtins import range
  import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator
  import pandas
label_desc: Use image node_id 2 for calling a global function with example usage: test_ordinal() without return types