code: def frameslice_gbm():
      prostate = h2o.import_file(
          path=pyunit_utils.locate("smalldata/logreg/prostate.csv")
      )
      prostate = prostate[1:9]
  
      model = H2OGradientBoostingEstimator()
      model.train(x=list(range(1, 8)), y=0, training_frame=prostate)
  
imports: from builtins import range
  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: frameslice_gbm() without return types