code: def remove_obj_client():
      training_data = h2o.import_file(
          pyunit_utils.locate("smalldata/logreg/benign.csv")
      )
  
      Y = 3
      X = list(range(3)) + list(range(4, 11))
  
      from h2o.estimators.glm import H2OGeneralizedLinearEstimator
  
      model = H2OGeneralizedLinearEstimator(
          family="binomial", alpha=0, Lambda=1e-5
      )
      print(model.model_id)
      print(model)
      model.train(x=X, y=Y, training_frame=training_data)
      print(model)
      h2o.remove(model)
      print(model)
  
      h2o.remove(training_data)
      print(training_data)
  
imports: from builtins import range
  import sys
  import h2o
  from tests import pyunit_utils
label_desc: Use image node_id 1 for calling a global function with example usage: remove_obj_client() without return types