code: def iris_ignore():
      iris = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris2.csv")
      )
  
      for maxx in range(4):
          model = H2ORandomForestEstimator(ntrees=50, max_depth=100)
          model.train(y=4, x=list(range(maxx + 1)), training_frame=iris)
          model.show()
  
imports: from builtins import range
  import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.random_forest import H2ORandomForestEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: iris_ignore() without return types