code: def download_pojo():
      iris = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris_wheader.csv")
      )
      print("iris:")
      iris.show()
      m = H2OGradientBoostingEstimator()
      m.train(x=list(range(4)), y=4, training_frame=iris)
      h2o.download_pojo(m)
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: download_pojo() without return types