code: def test_infogram_iris_plot():
      """
      Check to make sure infogram can be plotted
      :return:
      """
  
      fr = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/admissibleml_test/irisROriginal.csv"
          )
      )
      target = "Species"
      fr[target] = fr[target].asfactor()
      x = fr.names
      x.remove(target)
  
      infogram_model = H2OInfogram(
          seed=12345, distribution="multinomial"
      )  # build infogram model with default settings
      infogram_model.train(x=x, y=target, training_frame=fr)
      infogram_model.plot(server=True)  # make sure graph will not show
  
      infogram_model2 = H2OInfogram(
          seed=12345,
          distribution="multinomial",
          net_information_threshold=0.05,
          total_information_threshold=0.05,
      )  # build infogram model with default settings
      infogram_model2.train(x=x, y=target, training_frame=fr)
      infogram_model2.plot(server=True)
  
      assert len(infogram_model.get_admissible_cmi()) <= len(
          infogram_model2.get_admissible_cmi()
      )
  
imports: import os
  import sys
  import h2o
  from h2o.estimators.infogram import H2OInfogram
  from tests import pyunit_utils
label_desc: Use image node_id 1 for calling a global function with example usage: test_infogram_iris_plot() without return types