new_contents: from __future__ import print_function
  import sys, os
  sys.path.insert(1, os.path.join("..","..",".."))
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.deepwater import H2ODeepWaterEstimator
  
  def deepwater_multi():
    print("Test checks if Deep Water works fine with a multiclass image dataset")
  
    frame = h2o.import_file(pyunit_utils.locate("bigdata/laptop/deepwater/imagenet/cat_dog_mouse.csv"))
    print(frame.head(5))
    model = H2ODeepWaterEstimator(epochs=50, rate=1e-3)
    model.train(x=[0],y=1, training_frame=frame)
    model.show()
    error = model.model_performance(train=True).mean_per_class_error()
    assert error < 0.1, "mean classification error is too high : " + str(error)
  
  if __name__ == "__main__":
    pyunit_utils.standalone_test(deepwater_multi)
  else:
    deepwater_multi()
  
subject: Add PyUnit for DeepWater cat/dog/mouse image classification.