code: def test_multinomial():
      print("Multinomial test")
      name = "multinomial"
      print("Create default", name, "model")
      (model, f_test) = multinomial_model_default(
          H2OGradientBoostingEstimator
      )
      print("Create custom", name, "model")
      (model2, f_test2) = multinomial_model_distribution(
          H2OGradientBoostingEstimator,
          upload_distribution(CustomDistributionMultinomial, name),
      )
      check_model_metrics(model, model2, name)
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.utils.distributions import CustomDistributionGaussian, CustomDistributionBernoulli, CustomDistributionMultinomial, CustomDistributionGeneric
  from tests.pyunit_utils import regression_model_distribution, regression_model_default
  from tests.pyunit_utils import multinomial_model_default, multinomial_model_distribution
  from tests.pyunit_utils import binomial_model_default, binomial_model_distribution, check_model_metrics
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
label_desc: Use image node_id 5 for calling a global function with example usage: test_multinomial() without return types