code: def score_history_test():
      air_train = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/airlines/AirlinesTrain.csv.zip"
          )
      )
      air_train["fDayOfWeek"] = air_train["fDayOfWeek"].asfactor()
      gbm_mult = H2OGradientBoostingEstimator(
          distribution="multinomial"
      )
      gbm_mult.train(
          x=[
              "Origin",
              "Dest",
              "Distance",
              "UniqueCarrier",
              "IsDepDelayed",
              "fDayofMonth",
              "fMonth",
          ],
          y="fDayOfWeek",
          training_frame=air_train,
      )
      score_history = gbm_mult.scoring_history()
      print(score_history)
  
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: score_history_test() without return types