code: def deeplearning_basic():
      iris_hex = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris.csv")
      )
      hh = H2ODeepLearningEstimator(loss="CrossEntropy")
      hh.train(x=list(range(3)), y=4, training_frame=iris_hex)
      hh.show()
  
imports: from builtins import range
  import sys, os
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.deeplearning import H2ODeepLearningEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: deeplearning_basic() without return types