code: def setup_grid():
      h2o.remove_all()
      hyper_parameters = OrderedDict()
      hyper_parameters["learn_rate"] = [0.1, 0.05, 0.01]
      hyper_parameters["ntrees"] = [1, 3, 5]
      gs = H2OGridSearch(
          H2OGradientBoostingEstimator, hyper_params=hyper_parameters
      )
      return gs
  
file_path: h2o-3/h2o-py/tests/testdir_algos/gbm/pyunit_gbm_grid_memory_cleanup.py
imports: import sys
  from collections import OrderedDict
  import re
  import h2o
  from tests import pyunit_utils
  from h2o.grid.grid_search import H2OGridSearch
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
label_desc: Use image node_id 3 for calling a global function with example usage: setup_grid() and returns: gs