code: def generic_blank_constructor():
      # Train a model
      airlines = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/testng/airlines_train.csv"
          )
      )
      airlines_test = h2o.import_file(
          path=pyunit_utils.locate("smalldata/testng/airlines_test.csv")
      )
      model = H2OGradientBoostingEstimator(ntrees=10)
      model.train(
          x=["Origin", "Dest"],
          y="IsDepDelayed",
          training_frame=airlines,
      )
      predictions = model.predict(airlines_test).as_data_frame(
          use_pandas=True
      )
      contributions = model.predict_contributions(
          airlines_test
      ).as_data_frame(use_pandas=True)
  
      # Save the previously created model into a temporary file
      original_model_filename = tempfile.mkdtemp()
      original_model_filename = model.download_mojo(
          original_model_filename
      )
  
      # Load the model from the temporary using an empty constructor
      mojo_model = H2OGenericEstimator()
      mojo_model.path = original_model_filename
      mojo_model.train()
      assert isinstance(mojo_model, H2OGenericEstimator)
  
      assert (
          mojo_model._model_json["output"]["original_model_identifier"]
          == "gbm"
      )
      assert (
          mojo_model._model_json["output"]["original_model_full_name"]
          == "Gradient Boosting Machine"
      )
  
      # Test scoring is available on the model
      mojo_predictions = mojo_model.predict(
          airlines_test
      ).as_data_frame(use_pandas=True)
      assert_frame_equal(predictions, mojo_predictions)
  
      # Test predict contributions is available on the model
      mojo_contributions = mojo_model.predict_contributions(
          airlines_test
      ).as_data_frame(use_pandas=True)
      assert_frame_equal(contributions, mojo_contributions)
  
imports: import sys
  import h2o
  import tempfile
  from h2o.estimators import H2OGradientBoostingEstimator, H2OGenericEstimator
  from tests import pyunit_utils
  from pandas.testing import assert_frame_equal
label_desc: Use image node_id 1 for calling a global function with example usage: generic_blank_constructor() without return types