code: def deeplearning_multi():
      print(
          "Test checks if Deep Learning works fine with a multiclass training and test dataset"
      )
  
      prostate = h2o.import_file(
          pyunit_utils.locate("smalldata/logreg/prostate.csv")
      )
  
      prostate[4] = prostate[4].asfactor()
  
      hh = H2ODeepLearningEstimator(loss="CrossEntropy")
      hh.train(
          x=[0, 1],
          y=4,
          training_frame=prostate,
          validation_frame=prostate,
      )
      hh.show()
  
imports: 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_multi() without return types