code: def h2oget_model():
      """
      Python API test: h2o.get_model(model_id)
      """
      training_data = h2o.import_file(
          pyunit_utils.locate("smalldata/logreg/benign.csv")
      )
      Y = 3
      X = [0, 1, 2, 4, 5, 6, 7, 8, 9, 10]
  
      model = H2OGeneralizedLinearEstimator(
          family="binomial", alpha=0, Lambda=1e-5
      )
      model.train(x=X, y=Y, training_frame=training_data)
      model2 = h2o.get_model(model.model_id)
      assert_is_type(model, H2OGeneralizedLinearEstimator)
      assert_is_type(model2, H2OGeneralizedLinearEstimator)
      assert (
          model._model_json["output"]["model_category"]
          == model2._model_json["output"]["model_category"]
      ) and (
          model2._model_json["output"]["model_category"] == "Binomial"
      ), "h2o.get_model() command is not working"
  
imports: import sys
  from tests import pyunit_utils
  import h2o
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator
  from h2o.utils.typechecks import assert_is_type
label_desc: Use image node_id 1 for calling a global function with example usage: h2oget_model() without return types