code: def stacked_ensemble_export():
      print("###### STACKED ENSEMBLE ######")
      frame = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/testng/higgs_train_5k.csv"
          ),
          destination_frame="higgs_train_5k",
      )
      x = frame.columns
      y = "response"
      x.remove(y)
      frame[y] = frame[y].asfactor()
      my_gbm = H2OGradientBoostingEstimator(
          distribution="bernoulli",
          ntrees=10,
          nfolds=5,
          fold_assignment="Modulo",
          keep_cross_validation_predictions=True,
          seed=1,
      )
      my_gbm.train(x=x, y=y, training_frame=frame)
      my_rf = H2ORandomForestEstimator(
          ntrees=50,
          nfolds=5,
          fold_assignment="Modulo",
          keep_cross_validation_predictions=True,
          seed=1,
      )
      my_rf.train(x=x, y=y, training_frame=frame)
      model = H2OStackedEnsembleEstimator(
          model_id="my_ensemble_binomial1",
          base_models=[my_gbm.model_id, my_rf.model_id],
      )
      model.train(x=x, y=y, training_frame=frame)
      expect_error(model.download_pojo, "Stacked Enemble", "POJO")
      model.download_mojo(path=RESULT_DIR)
  
imports: import sys
  import random
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.deeplearning import H2ODeepLearningEstimator
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator
  from h2o.estimators.glrm import H2OGeneralizedLowRankEstimator
  from h2o.estimators.kmeans import H2OKMeansEstimator
  from h2o.estimators.naive_bayes import H2ONaiveBayesEstimator
  from h2o.estimators.pca import H2OPrincipalComponentAnalysisEstimator
  from h2o.estimators.random_forest import H2ORandomForestEstimator
  from h2o.estimators.stackedensemble import H2OStackedEnsembleEstimator
  from h2o.estimators.word2vec import H2OWord2vecEstimator
  from h2o.exceptions import H2OValueError
label_desc: Use image node_id 10 for calling a global function with example usage: stacked_ensemble_export() without return types