code: def pubdev_5495():
      glm = H2OGeneralizedLinearEstimator(family="gamma")
      frame = h2o.import_file(
          pyunit_utils.locate("smalldata/logreg/prostate.csv")
      )
      try:
          glm.train(training_frame=frame, y="CAPSULE")
      except h2o.exceptions.H2OResponseError as e:
          assert (
              EXPECTED_ERROR_MSG in e.args[0].dev_msg
          ), "dev_msg should contain '%s'. Actual dev_msg is '%s'" % (
              EXPECTED_ERROR_MSG,
              e.args[0].dev_msg,
          )
  
label_desc: Use image node_id 1 for calling a global function with example usage: pubdev_5495() without return types