code: def czechboardRF():
      # Training set has checkerboard pattern
      board = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/gbm_test/czechboard_300x300.csv"
          )
      )
      board["C3"] = board["C3"].asfactor()
      board.summary()
  
      # Train H2O DRF Model:
  
      model = H2ORandomForestEstimator(
          ntrees=50, max_depth=20, nbins=500
      )
      model.train(x=["C1", "C2"], y="C3", training_frame=board)
      model.show()
  
imports: 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: czechboardRF() without return types